Biologic monitoring of exposure to environmental chemicals throughout the life stages: requirements and issues for consideration for the National Children's Study.

Biomonitoring of exposure is a useful tool for assessing environmental exposures. The matrices available for analyses include blood, urine, breast milk, adipose tissue, and saliva, among others. The sampling can be staged to represent the particular time period of concern: preconceptionally from both parents, from a pregnant woman during each of the three trimesters, during and immediately after childbirth, from the mother postnatally, and from the child as it develops to 21 years of age. The appropriate sample for biomonitoring will depend upon matrix availability, the time period of concern for a particular exposure or health effect, and the different classes of environmental chemicals to be monitored. This article describes the matrices available for biomonitoring during the life stages being evaluated in the National Children's Study; the best biologic matrices for exposure assessment for each individual chemical class, including consideration of alternative matrices; the analytical methods used for analysis, including quality control procedures and less costly alternatives; the costs of analysis; optimal storage conditions; and chemical and matrix stability during long-term storage. Key words: adducts, adipose tissue, bioaccumulative, biomonitoring, blood, breast milk, matrix, metabolite, National Children's Study, nonpersistent, persistent, toxicant, urine. doi:10.1289/ehp.7617 available via http://dx.doi.org/[Online 12 May 2005]

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After an individual's exposure to a given chemical, a proportion of the chemical may be absorbed into the bloodstream, distributed among the bodily tissues, metabolized, and/or excreted. These four complex steps [i.e., absorption, distribution, metabolism, and excretion (ADME)] make up the pharmacokinetic process of a chemical (reviewed in Rozman and Klaasen 2001). In order to assess human exposure to a given chemical, biologic measurements of the chemical can be made after the absorption step or during each of the subsequent steps of ADME. Biomonitoring of exposure involves the measurement of the concentration of a chemical in a given biologic matrix during or after ADME, and its concentration level depends on the amount of the chemical that has been absorbed into the body, the pharmacokinetics (ADME) of the chemical, and the exposure scenario, including the time sequence of exposure and time since last exposure (Sexton et al. 1995). Biomonitoring data are independent of the pathway of exposure (Pirkle et al. 1995). Ideally, in order to link the dose with adverse health outcomes, measurements of the biologically effective dose, the dose at the target site that causes an adverse health effect, are preferred (Pirkle et al. 1995). However, often the target organ is not known and, even if known, frequently is not available for sampling. In these situations, we measure the level of the chemical in another biologic sample to gauge the internal dose.

For the National Children's Study (NCS 2005), the biologic sample can be taken preconceptionally from both parents; from a pregnant woman during each of the three trimesters, during and immediately after childbirth; from the mother postnatally; and from the child as it develops up to 21 years of age. The appropriate sample for monitoring will depend upon matrix availability and the different classes of environmental chemicals to be monitored. Under the auspices of the Chemical Exposures Workgroup of the NCS, we developed this article as part of a larger white paper (NCS 2004) to provide guidance on which biologic samples may be most useful for characterizing exposures of interest in the NCS. Although this guidance may be applicable to other exposure studies, it was developed with the life stages of interest to the NCS and with the recognition that the specimens available for testing may be limited in volume or quantity (Needham et al. 2004, 2005). Unless otherwise stated, we refer to measurements made on biologic samples from the parents or the child but not from the fetus. Further, we focus primarily on chemical measurements made in a biologic matrix that is taken from the participant, a commonly used strategy in human exposure assessment. Although newer methodologies such as imaging techniques and "omics" technology are becoming more readily available (Chaussabel 2004; de Hoog and Mann 2004; Dettmer and Hammock 2004; Kiechle et al. 2004; Olden 2004; Wetmore and Merrick 2004), they are not included in this article.

The General Behavior of a Chemical in the Body

Absorption of a chemical into the body occurs when the chemical enters the bloodstream by passing through absorption membrane barriers after contact of the chemical with an outer boundary (i.e., skin, nostrils, mouth, or eyes). Without absorption, there can be no direct internal toxic effect even if the chemical is toxic, although effects are possible at the absorption barrier (e.g., skin irritation, eye lens irritation). Once the chemical has been absorbed into the bloodstream, it undergoes distribution to the primary deposition sites. Distribution is crucial to toxicity because if the chemical is never distributed to the target site, the toxic effect may be negligible. The concentration of the chemical in the storage depot is in equilibrium with the concentration in the blood, thus the chemical is slowly released from the storage depot as it is eliminated from the blood to maintain the equilibrium. Low concentrations may reach the target organ.

Metabolism takes place primarily in the liver. The overall purpose of metabolism is to make the chemical less toxic and more hydrophilic. Phase 1 metabolism of the chemical typically involves inserting or substituting a functional group to make the chemical more water soluble. Phase 2 metabolism usually chemically links the chemical to a glucuronide or sulfate group, which increases the water solubility and facilitates elimination of the chemical in the urine. However, metabolism does not always render a chemical less toxic.

Metabolized chemicals may be more hydrophilic and can be excreted in urine or may be passed into the feces. If the chemical is not absorbed, it can go straight into the feces. Lipophilic compounds, in particular, are eliminated primarily in the feces. Volatile organic compounds (VOCs) can be excreted through the alveoli or in the expired air through exhalation. Chemicals can also be deposited in certain secretory structures and be excreted as tears, saliva, sweat, or milk in lactating women.

In addition to the internal movement of chemicals in the body, a pregnant woman can distribute the chemicals via the bloodstream through the placenta and into the fetal blood supply. Biomonitoring matrices unique to the fetus include amniotic fluid and meconium. In addition, cord blood, the placenta, and the umbilical cord can be collected at birth.

Behavior of Specific Chemical Classes in the Body

Persistent organic chemicals. Persistent organic pollutants or chemicals (POPs) include polychlorinated dibenzo-p-dioxins, polychlorinated biphenyls (PCBs), and organochlorine insecticides (Needham et al. 2005; United Nations Environment Program 2001). Polycyclic aromatic hydrocarbons (PAHs) are also often included in this class because they persist in the environment; however, because PAHs behave more like nonpersistent chemicals in the body, we have chosen to exclude them from POPs (Needham et al. 2005). The primary route of exposure to POPs is ingestion. POPs are readily absorbed into the blood supply by passive diffusion. Their blood level initially decays relatively rapidly, representing the alpha decay period (Flesch-Janys et al. 1996). During the alpha decay, the POP is distributed into the fatty portions of tissues and, in lactating women, in breast milk. The concentration of the POP in the fatty portions of tissues is in equilibrium with the concentration in the lipid portion of blood. The fat content of blood serum is 0.5-0.6%, milk is approximately 4% lipid, and adipose tissue may be as much as 95% lipid. Thus, although the equilibrium concentrations of the chemical in the blood and fatty tissues may differ over orders of magnitude, they may be very similar when matrices are adjusted for lipid content.

In pregnant women, the POP may also distribute in the fetal compartment; therefore, other matrices such as cord blood or serum may be used for POP measurements. However, the lipid content of cord blood is lower than that of an adult's blood, so the sensitivity of the analytical measurement may play a key role in obtaining a valid measurement in cord blood. Other fetal matrices, such as meconium, have not been fully explored for their potential in assessing POP exposures in the fetus. Maternal blood or adipose tissue taken before or during pregnancy and maternal blood, milk, or adipose tissue taken soon after parturition (if breast-feeding or can be taken later if not breast-feeding) are considered the best matrices for estimating fetal exposures to POPs.

Because metabolism and excretion of POPs are very slow, they have a long half-life in the body, usually along the order of years (Michalek et al. 1996; Phillips et al. 1989b). However, because the lipophilic POPs accumulate in the breast milk of lactating women and the milk is removed from the woman's body, the half-life of POPs in lactating women is about 6 months (LaKind et al. 2000).

Nonpersistent organic chemicals. Nonpersistent organic chemicals, such as current-use pesticides, phthalates, and VOCs (Needham et al. 2005), can be much more challenging to measure. Their primary routes of exposure for the general population, depending on the scenario, are generally ingestion or inhalation. These chemicals are rapidly metabolized, and their metabolites are eliminated in urine (Figure 1). The deposition matrices are minor matrices for monitoring because only small amounts of the chemical are deposited in the body. The major matrices for assessing exposure are excreta. Blood has also been used as a matrix for biomonitoring. Nonpersistent chemicals tend to have very short half-lives in blood (Figure 1), and the concentrations are usually about three orders of magnitude lower than urinary metabolite levels (Barr et al. 1999). Thus, if blood is used as a matrix, the sensitivity of the analytical method and the matrix volume available for analysis may become important. Blood can also be a valuable matrix for measuring biomolecular adducts such as hemoglobin, albumin, or DNA adducts, such as DNA-PAH adducts.

[FIGURE 1 OMITTED]

Saliva has also been explored as a matrix for measuring selected nonpersistent chemicals such as atrazine (Lu et al. 1998). The existing data indicate that saliva levels can be considerably lower than blood levels of a nonpersistent chemical depending upon the degree of protein binding that may occur; thus, a very sensitive analytical technique is required. Further research on additional chemicals and the relation of these measurements to more commonly used approaches is required before this can routinely be used for analysis.

To evaluate fetal exposures, maternal samples collected throughout pregnancy may be used. However, because these chemicals are, by definition, nonpersistent, urine or blood measurements made at a single point in time during pregnancy will address only the exposures that may have occurred in the previous few days unless the exposure is continuous (e.g., pervasive air levels of a chemical resulting from smokers in the home) or continual (e.g., eating the same foods daily with measurable levels of pesticides) (Figure 2). To circumvent this problem, multiple biologic samples can be taken every few days during pregnancy; however, this can be costly and logistically difficult to collect and store and may present an undue burden on the participant. An alternative may be to collect multiple samples over particularly vulnerable stages of the pregnancy, if such stages can be appropriately identified. Another potential approach is to measure nonpersistent chemicals in fetal matrices such as cord blood or meconium.

[FIGURE 2 OMITTED]

Bioaccumulative metals. Bioaccumulative metals persist in the environment and bioaccumulate in humans. This group of chemicals includes some forms of mercury, lead, and cadmium (Needham et al. 2005). For example, lead is readily absorbed, particularly in children, with distribution from the blood to its storage depots--bone and teeth (Aufderheide and Wittmers 1992). Both metabolism and excretion are slow, so monitoring lead levels is more straightforward. The best matrices to use are blood, bone, and teeth. For general population exposures to mercury, methyl mercury is the form of highest concern. Blood, hair, and nails are viable matrices for measuring methyl mercury levels.

Nonbioaccumulative metals. Nonbioaccumulative metals are readily absorbed into the body, and although some proportion may distribute to various tissues, most will pass through the body rapidly. These metals are typically measured in urine (Horng et al. 1999). However, to gain a longer term dosimeter for exposure, arsenic can also be measured in hair (Wilhelm and Idel 1996) and nails (Lin et al. 1998).

Criteria pollutants and bioallergens. In general, biomonitoring has a limited role in the measurement of criteria pollutants [e.g., carbon monoxide (CO), oxides of nitrogen, ozone] and bioallergens (e.g., pollen, endotoxins) (Needham et al. 2005). Exposure to CO can be assessed by measuring the carboxyhemoglobin adduct (Shenoi et al. 1998; Smith et al. 1998) or expired CO (Lapostolle et al. 2001; Paredi et al. 2002) in blood and breath, respectively. The adduct measurements provide a longer-term dosimeter for the exposure than breath measurements because hemoglobin has a lifetime of about 4 months.

Bioallergen response can be measured by IgE in maternal, cord blood, or child blood (Carter and Moscato 2004; Goodman and Leach 2004; Lee et al. 2004). In addition, certain endotoxins or metabolites may be measured in blood or urine samples (Makarananda et al. 1998; Malir et al. 2004). Typically, the endotoxin measurements would reflect a more recent exposure, similar to nonpersistent chemical exposures.

Assessing Exposure throughout the Life Cycle

Biomonitoring measurements have been used for many years to assess exposures in adults (Ashley et al. 1994; Blount et al. 2000; CDC 2003; Pirkle et al. 1995) and, to some extent, in adolescents and children (Adgate et al. 2001; Fenske et al. 2000). Biomonitoring of fetuses, infants, and small children has been performed much less frequently, if at all. Various biologic matrices have been used or considered for assessing environmental exposures throughout the life cycle (Table 1). The mother or pregnant woman has generally been used as a surrogate to evaluate fetal exposures. However, for many chemicals, their ability to transfer from the mother to the fetus is not known and the relationship between maternal and fetal chemical levels has not been defined. Another potential option to evaluate fetal exposures is the use of meconium as a matrix of measurement because it begins accumulating in the bowels of the infant during the second trimester (Bearer 2003; Bearer et al. 2003; Ostrea et al. 1994). However, meconium use has many limitations. Meconium measurements are still in their infancy of development, and to date, no reliable way to relate these measurements to measurements in more commonly used matrices (e.g., urine, blood) exists. In addition no information is gleaned from exposures that occurred in the first trimester. However, many meconium measures have been shown to correlate well with reported maternal exposures to tobacco (Ostrea et al. 1994), drugs of abuse (Ostrea 1999), and alcohol consumption (Bearer et al. 2003), and this matrix shows promise for other chemical exposures of concern (Whyatt and Barr 2001).

The period from birth through 1 year of age is also very important (Needham and Sexton 2000; Needham et al. 2004, 2005). During this time the infants may be breastfeeding, so they may be exposed to chemicals via breast milk. In addition their microenvironments are often close to the floor and substantially different from an older child or adults. At this age probably only urinary chemical measurements and breast milk measurements can be made. Urine volume will likely be limited, usually 10 mL or less.

Once children start school, another environment with potential chemical contamination is included in the exposure scenario; however, biologic sample collections become easier. At this stage in life some blood can be collected, but it is often limited to a small amount. Urine and saliva samples also can be readily collected. As children approach adolescence and adulthood, more biologic samples and/or a greater quantity of a matrix can be collected. At this life stage perhaps up to 100 mL of blood can be collected for various measurements, and urine is typically plentiful.

Biologic Matrices for Exposure Assessment

The two primary matrices used to assess human exposure to chemicals are urine and blood (serum, plasma, blood cells, etc.) (Barr et al. 1999; Needham and Sexton 2000; Pirkle et al. 1995).

Blood. Many persistent and nonpersistent chemicals can be measured in blood (Angerer 1988; Angerer and Horsch 1992; Barr et al. 2002; Leng et al. 1997). Although the amount of blood is similar in all adults, the chemical composition of blood, such as lipid content, varies between individuals and within an individual, especially postprandial (Phillips et al. 1989a). Blood concentrations of lipophilic chemicals are routinely normalized using blood lipid concentrations to allow a direct comparison of their concentrations within and among individuals, regardless of the time of day the blood was collected. However, other chemicals that can be measured in blood may not vary based upon the blood lipid content. For example, fluorinated chemicals in blood are not dependent upon the lipid content; instead, they bind to blood albumin (Jones et al. 2003). Therefore, these measurements should not be adjusted based upon the blood lipid content; however, other adjustments, such as for albumin content, may be required if deemed appropriate.

Measuring a chemical in blood is inherently advantageous (Barr et al. 1999). Because we know how much blood is in the body, we can calculate the body burden more accurately than if we measure the chemical or its metabolite in urine. However, blood collection is invasive, which may severely limit the ability to collect it from infants and small children. In addition nonpersistent chemicals are usually found in very low concentrations in blood (Barr et al. 1999, 2002). Also, if testing is not performed soon after sample collection, which will likely be the case in the NCS, long-term storage of blood may be problematic, depending upon what form of blood is being stored. Storage conditions and stability of various matrices and chemicals are shown in Table 2.

Urine. One major advantage of using urine in biomonitoring is the ease of its collection for spot urine samples (Barr et al. 1999; Needham et al. 2004); however, the collection of 24-hr urine voids can be very cumbersome and result in nonadherence (Kissel et al. 2005). Therefore, spot urine samples, whether first-morning voids or "convenience" samplings, are most generally used for biomonitoring purposes. The major disadvantages of spot urine samples include the variability of the volume of urine and the concentrations of endogenous and exogenous chemicals from void to void (Barr et al. 1999; Kissel et al. 2005). The issue on how best to adjust the urinary concentrations of environmental chemicals in a manner analogous to the adjustment of the concentrations of lipophilic chemicals in blood is a subject of continued research. Adjustment using urinary creatinine concentrations [i.e., dividing the analyte concentration by the creatinine concentration (in grams creatinine per liter urine)] is the most routinely used method for correcting for dilution. Analyte results are then reported as weight of analyte per gram of creatinine (e.g., micrograms analyte per gram creatinine). This may work well when comparing analyte levels in a single individual because the intraindividual variation in creatinine excretion is relatively low; however, for diverse populations the interindividual variation is extremely high (Barr et al. 2005).

Breast milk and adipose tissue. Many of the chemicals measured in blood have been found in breast milk (LaKind et al. 2001) and adipose tissue (Patterson et al. 1987). Breast milk measurements are unique in that they not only provide data on ingestion exposures for the infant but also are indicators of maternal exposures. Breast milk and adipose tissue are lipid-rich matrices, more so than blood, so similar lipid adjustments are required for reporting concentrations of lipophilic analytes. In general these lipophilic analytes partition among the lipid stores in blood, breast milk, and adipose tissue on nearly a 1:1:1 basis (Patterson et al. 1987). More laboratory work needs to be done on the partitioning of less bioaccumulative analytes in these matrices.

Alternative matrices. Chemicals have been successfully measured in alternative matrices such as saliva (Bernert et al. 2000; Lu et al. 1998), meconium (Bearer et al. 1999, 2003; Ostrea 1999; Ostrea et al. 1994; Whyatt and Barr 2001), amniotic fluid (Bradman et al. 2003; Foster et al. 2002), and breath (Pellizzari et al. 1992). Because many of these matrices are not commonly analyzed, the resulting chemical concentration data are more difficult to relate to measurements made in the more commonly used matrices such as urine, blood, or breast milk and, consequently, may be more difficult to relate to exposure. However, because many of these matrices are available and could provide potentially useful information, they should not be discounted. Instead, preliminary studies evaluating the partitioning of chemicals in the various matrices should be conducted that will allow for comparison of data among matrices.

Measurement method specificity and sensitivity requirements. Specificity--how specific an analysis method is for a particular exposure--and sensitivity--the ability to measure the chemical at the desired level--are critical parameters for analysis methods, and both must be considered when deciding which matrix to measure. The half-life of a chemical may affect the sensitivity requirement; however, because persistent chemicals have long half-lives, it is not nearly as important as it is for nonpersistent chemicals, which metabolize rapidly. For instance, in adult men, 2,3,7,8-tetrachlorodibenzo-p-dioxin has a half-life of about 7.6 years (Pirkle et al. 1989). Therefore, to assess exposure over a period of time, for example, 9 months, the sample could be collected at any time period within the 9 months or even afterward, and the biologic measurement information would still be useful for accurate exposure classification (e.g., exposure quartiles--people whose exposure is high, medium, low, or none). When measuring exposure to persistent chemicals by analyzing adipose tissue, it makes little difference which portion of the body the sample is taken from; however, because blood is easy to collect and readily available, blood is an ideal medium in which to measure persistent chemicals. In lactating women, milk is also frequently used.

Nonpersistent chemicals have half-lives of hours or minutes; therefore, the postexposure fate of a nonpersistent chemical is dramatically different (Figure 1) (Needham and Sexton 2000). After each exposure the concentration of the chemical in blood declines rapidly. The window of opportunity for measuring nonpersistent chemicals in blood is narrow and requires the use of a very sensitive technique. By measuring these chemicals in blood as the intact, or parent, chemical, we gain information on the exact chemical to which one was exposed. For example, if someone was exposed to chlorpyrifos, we can measure chlorpyrifos in the blood rather than its metabolite, which is formed from more than one parent chemical and is also the same chemical as environmentally degraded chlorpyrifos. In addition to blood, certain nonpersistent chemicals such as cotinine have been measured in saliva because cotinine is in equilibrium in blood and saliva.

In urine we generally measure metabolites of the chemical that may lack the desired specificity for analysis; however, measurements in urine allow a much wider window of opportunity in which to take the sample. Generally, we assess exposure to nonpersistent chemicals by measuring their metabolites in urine, even though this method may not have the specificity of the blood measurement.

When chronic exposure to a nonpersistent chemical occurs, the exposure is continually replenishing the chemical in the blood and urinary elimination may reach a steady state. Therefore, urine becomes a better matrix for measurement because we integrate exposure over a longer period.

Biomolecular adducts. Persistent and nonpersistent chemicals can also react with biomolecules such as DNA, hemoglobin, or fatty acids to form biomolecular adducts (Angerer et al. 1998; Schettgen et al. 2002). By measuring these adducts, we are able to increase the amount of time after exposure that we can measure a nonpersistent chemical because the amount of time the adduct remains in the body is largely dependent upon the lifetime of the biomolecule itself (Needham and Sexton 2000). For example, the average life span of a red blood cell is about 120 days. If a chemical formed an adduct with hemoglobin on the day a red blood cell was created, the adduct should remain in the body about 4 months, allowing a much longer time after exposure to collect the sample. Other adducts are formed with DNA, albumin, and other prominent proteins. Because adducts are not formed from every chemical molecule to which one is exposed, adduct measurements must be very sensitive, and usually a large amount of matrix is required. In addition the measurements are usually cumbersome and time-consuming, so the analytical throughput is very low and the cost is very high.

When measuring persistent chemicals, we do not gain much advantage by measuring them as adducts. Blood is still the matrix of choice because the concentration is higher in blood, and we have a wide window of opportunity (Barr and Needham 2002). To form an adduct, the chemical must have an electrophilic site to which a nucleophile on the biomolecule (usually sulfur or nitrogen) can covalently bind.

Sampling time frame. For persistent organic chemicals, the time frame for sampling is reasonably straightforward. In general, a blood sample can be taken any time, up to several years after exposure, has occurred and the exposure can still be accurately identified; however, the investigator will not have any information about when the exposure occurred. For example, if a PCB concentration of 1,000 ng/g lipid was measured in a blood sample, it is not known if a recent exposure to this amount of PCB occurred or whether a larger exposure occurred many years ago and, although a portion of the PCB has been eliminated from the body over time, this amount is still circulating in the bloodstream. By coupling questionnaire data with these biologic measurements, investigators may gain information on the timing of the exposure (e.g., breast-feeding, subsistence food consumption).

The sampling time frame for nonpersistent chemicals is not straightforward. Because these chemicals have short biologic half-lives, the samples, whether blood or urine, must be collected soon after the exposure in order to appropriately assess the exposure. If the primary exposure medium is the air and the exposure is continuous, a first-morning-void urine sample is probably the best biologic sample for measuring the exposure. However, if the exposure is from a source related to personal grooming (e.g., VOCs from showers or phthalates from personal care products), a first-morning-void urine sample or an early morning blood sample (before showering) would likely miss the exposure from the next day. Rather, a late morning or early afternoon sample would more accurately characterize the daily exposure to these chemicals. Similarly, samples designed to evaluate dietary exposures, such as pesticides, should be collected several hours after mealtimes so that these exposures can be identified.

In general, sample collection for nonpersistent chemical measurements should reflect the residence time of the chemical in each individual matrix. The half-lives of nonpersistent chemicals in blood are typically much less than in urine samples; thus, blood samples may need to be collected within minutes or hours after the exposure, whereas urine samples may be collected several hours or in some instances days after the exposure. Saliva samples will typically mimic blood, whereas meconium samples may provide a longer window for capturing the exposure. Measurements of biomolecular adducts need to consider the lifetime of the biomolecule, rather than the lifetime of the chemical, in the particular matrix; however, more adduct will likely be present immediately after exposure than several weeks after exposure.

Collecting samples from infants and children. Difficulty is often encountered when collecting urine samples from infants and children who are not toilet trained. The traditional approach is similar to that in a clinical setting, using an infant urine collection bag. This technique is rather straightforward; however, it is usually bothersome to the child and often requires that the child be given liquids to encourage urination within a given time frame. Encouraging urination with drinks will usually dilute the urine and make the analytical measurement more difficult. Other approaches for urine collection, primarily from cloth diapers or cotton inserts, have also been investigated (Calafat et al. 2004; Hu et al. 2000). Another approach of ongoing investigation is the collection of the target analytes directly from the coagulated gel matrix of disposable diapers (Hu et al. 2004). If proven viable for isolating a broad array of target analytes, this method of collection would be most attractive because it is the least burdensome on the participant and the most logistically practical.

Temporal variability in urine and blood samples. The variability of nonpersistent target analyte levels in samples collected from an individual over time is of concern, whether the sample is biologic or environmental. Temporal variability can include the variation of a given chemical in multiple samples collected on a single day or can include variation among days, months, or seasons. For chronic exposures to nonpersistent chemicals, the exposure is repeated; thus, the amount in a given sample would likely represent the average exposure. However, for episodic exposures, the variability is often greater. For urine matrix, a 24-hr urine sample is preferred; however, this can be burdensome on the participant and often logistically difficult. If a 24-hr sample cannot be obtained, a first-morning void is often preferred because the urine is more concentrated and the collection represents a longer window of accumulation (usually > 8 hr). However, a first-morning collection may not be ideal for certain exposures because the timing for capturing the exposure is "off." For evaluation of daily, monthly, and/or seasonal variations of analyte in urine, sequential samples are often taken days and weeks apart to evaluate how the intraindividual variation over time compares with the interindividual variation and whether an accurate classification of exposure is possible. These studies are important in interpreting the biomonitoring data and should be considered, at some level, in the NCS. These data will help to determine whether multiple samples should be taken and at what intervals. In most instances sampling for nonpersistent chemicals will require multiple samples taken at regular intervals.

Methodology

Organic chemicals. Most methods for measuring organic chemicals in biologic matrices use a sample preparation step to isolate the target chemical(s) from the matrix, an analytical technique with a detection system, data processing, and quality assurance (QA) processes (Needham et al. 2005).

The sample preparation steps are usually the most common source of analytic error, whether systematic or random (Barr et al. 1999). If the chemical is inherently incompatible with the analytic system that follows, a chemical derivatization or reduction procedure may also be required. The addition of steps into the sample preparation procedure usually increases the overall imprecision of the method.

Common analytical techniques for separation of individual chemicals include gas chromatography, high-performance liquid chromatography, or capillary electrophoresis that are coupled in-line to a detection system. Common detection systems include mass spectrometry (MS), electron capture, flame photometric, nitrogen phosphorus, fluorescence, and ultraviolet (UV) absorbance detection. Of the detection systems, mass spectrometers provide the most specificity, and UV absorbance detection usually provides the least (Barr et al. 1999). Most MS-based methods have limits of detection (LODs) in the range of picograms to nanograms per gram of matrix, typically adequate enough to detect levels in the general population when 1-10 g of matrix is used (Table 3). The analytical imprecision usually ranges from 10 to 20%.

Other analytic techniques that are often employed with organic chemicals are immunoassays and bioassays (Biagini et al. 1995; Brady et al. 1989). For these techniques a sample preparation step to isolate the chemical from the matrix may or may not be used. Many are commercially available for selected chemicals. However, their development for a new chemical is a lengthy process that typically requires the generation and isolation of antibodies, then the development of the assay itself. Usually UV, fluorescence, or radioactivity detection is used for the assays. They may be very specific for a given chemical, or they may have a great deal of cross-reactivity that may limit their utility. Their LODs can vary widely; however, many have adequate sensitivity for measuring levels in the general population.

Because organic chemicals are measured using expensive instrumentation and require highly trained analysts, these measurements are usually costly. The most selective and sensitive methods are usually the most complex and can range in cost from $100 to $1500 per sample analyzed (Table 3). However, many of the analyses are multianalyte panels, so the cost per analyte per sample is much more reasonable. Generally, immunoassays are less specific and less complex; therefore, their cost is usually less than $50 per test. However, usually only one chemical can be measured per test, and new chemicals cannot be easily incorporated into the method.

Inorganic chemicals. The sample preparation process for inorganic chemicals is typically much simpler than for organic chemicals. In some instances the sample matrix just needs to be diluted with water before analysis. However, special precautions must be taken to avoid contamination, both preanalytically and in the analytic system. For example, prescreened collection materials should be used for sample collection, all analytic supplies should be appropriately free of the target chemicals, and special clean rooms may be required for analysis.

Inorganic chemicals are usually measured using atomic absorption spectrometry (AAS) or inductively coupled plasma (ICP) MS. In some instances a dynamic collision cell may also be used to eliminate potentially interfering salts from the system. When various forms of inorganic chemicals are speciated, such as for arsenic or mercury, the AAS or ICP-MS will be preceded in-line by some chromatographic unit. For lead screening an efficient portable lead analyzer can be used for in-field measurements.

Similar to organic chemicals because expensive instrumentation is used, the analyses are usually costly, ranging from $50 for single chemicals to $250 for multichemical panels (Table 3). The LODs are comparable with those of organic chemicals and are suitable for general population studies. Because the handling of the sample is usually minimal, the precision is usually better, within 5-10%.

Quality assurance and quality control. A vital component of all biomonitoring methodology is a sound quality assurance/ quality control (QA/QC) program. QA/QC programs typically require strict adherence to protocols and multiple testing procedures that easily allow the detection of systematic failures in the methodology. The requirements for QA/QC are described in detail in Needham et al. (2005).

Conclusions

As a part of the NCS, many researchers will be competing for the matrices available for biologic measurements. We should refine existing methodology to include as many chemicals as possible using as little blood or urine as possible. In addition we should investigate ways to use more readily available, less invasive matrices. We must consider all matrices and analytes that integrate exposure over longer periods in order to maximize the exposure information gained on an individual using the matrices available during a particular life stage.

Another consideration is the quality and cost of analyses. We should evaluate low-cost techniques such as immunoassays for some applications. In addition to requiring smaller volumes of samples, these analyses are often less expensive and require less training to effectively perform the analyses. Before using these less costly techniques, they should be compared with more commonly used techniques to confirm that quality exposure assessment information--as rated by the method sensitivity, accuracy, specificity, and precision--can be obtained and that the resulting data will be comparable with data existing in the literature.

Generally, persistent organic chemicals are measured more readily in blood-based matrices or other lipid-rich matrices. Maternal measurements serve as good surrogates for fetal exposures and even early childhood exposures if levels are not reduced by breast-feeding. Assessments of exposure to nonpersistent chemicals are the most challenging, but they can be measured in multiple matrix types. Urine is the most commonly used matrix for measurement of these chemicals, but interpretation of the information obtained is often complicated by coexposures, urine dilution, specificity issues, and the temporality of the measurement. To date, no ideal way exists to interpret many of these measurements without the use of additional measures, for example, repeat measurements or environmental measurements. Measurements of metals have been performed in many matrices over the years and are, in general, well understood. Biomonitoring will likely have limited utility in the assessment of exposure to criteria pollutants and bioallergens.

REFERENCES

Adgate JL, Barr DB, Clayton CA, Eberly LE, Freeman NC, Lioy PJ, et al. 2001. Measurement of children's exposure to pesticides: analysis of urinary metabolite levels in a probability-based sample. Environ Health Perspect 109:583-590.

Angerer J. 1988. Determination of toluene in blood by head-space gas chromatography. IARC Sci Publ 85:287-291.

Angerer J, Goen T, Kramer A, Kafferlein HU. 1998. N-Methylcarbamoyl adducts at the N-terminal valine of globin in workers exposed to N,N-dimethylformamide. Arch Toxicol 72:309-313.

Angerer J, Horsch B. 1992. Determination of aromatic hydrocarbons and their metabolites in human blood and urine. J Chromatogr 580:229-255.

Ashley DL, Bonin MA, Cardinali FL, McCraw JM, Wooten JV. 1994. Blood concentrations of volatile organic compounds in a nonoccupationally exposed US population and in groups with suspected exposure. Clin Chem 40:1401-1404.

Aufderheide AC, Wittmers LE Jr. 1992. Selected aspects of the spatial distribution of lead in bone. Neurotoxicology 13:809-819.

Barr D, Barr J, Maggio V, Whitehead R, Sadowski M, Whyatt R, et al. 2002. A multi-analyte method for the quantification of contemporary pesticides in human serum and plasma using high-resolution mass spectrometry. J Chromatogr B Analyt Technol Biomed Life Sci 778:99-111.

Barr D, Needham L. 2002. Analytical methods for biological monitoring of exposure to pesticides: a review. J Chromatogr B Analyt Technol Biomed Life Sci 778:5-29.

Barr DB, Barr JR, Driskell WJ, Hill RH Jr, Ashley DL, Needham LL, et al. 1999. Strategies for biological monitoring of exposure for contemporary-use pesticides. Toxicol Ind Health 15:168-179.

Barr DB, Wilder LC, Caudill SP, Gonzalez AJ, Needham LL, Pirkle JL. 2005. Urinary creatinine concentrations in the U.S. population: implications for urinary biologic monitoring measurements. Environ Health Perspect 113:192-200.

Bearer CF. 2003. Meconium as a biological marker of prenatal exposure. Ambul Pediatr 3:40-43.

Bearer CF, Jacobson JL, Jacobson SW, Barr D, Croxford J, Molteno CD, et al. 2003. Validation of a new biomarker of fetal exposure to alcohol. J Pediatr 143:463-469.

Bearer CF, Lee S, Salvator AE, Minnes S, Swick A, Yamashita T, et al. 1999. Ethyl linoleate in meconium: a biomarker for prenatal ethanol exposure. Alcohol Clin Exp Res 23:487-493.

Bernert JT Jr, McGuffey JE, Morrison MA, Pirkle JL. 2000. Comparison of serum and salivary cotinine measurements by a sensitive high-performance liquid chromatography-tandem mass spectrometry method as an indicator of exposure to tobacco smoke among smokers and nonsmokers. J Anal Toxicol 24:333-339.

Biagini RE, Tolos W, Sanderson WT, Henningsen GM, MacKenzie B. 1995. Urinary biomunitoring for alachlor exposure in commercial pesticide applicators by immunoassay. Bull Environ Contain Toxicol 54:245-258.

Blount BC, Silva MJ, Caudill SP, Needham LL, Pirkle JL, Sampson EJ, et al. 2000. Levels of seven urinary phthalate metabolites in a human reference population. Environ Health Perspect 108:972-982.

Bradman A, Barr DB, Claus Henn BG, Drumheller T, Curry C, Eskenazi B. 2003. Measurement of pesticides and other toxicants in amniotic fluid as a potential biomarker of prenatal exposure: a validation study. Environ Health Perspect 111:1779-1782.

Brady JF, Fleeker JR, Wilson RA, Mumma RO. 1989. Enzyme immunoassay for aldicarb. In: Biological Monitoring for Pesticide Exposure: Measurement, Estimation and Risk Reduction (Wang RG, Franklin CA, Honeycutt RC, Reinert JC, eds). Washington, DC:American Chemical Society, 262-284.

Calafat AM, Needham LL, Silva M, Lambert GH. 2004. Exposure to di-(2-ethylhexyl) phthalate among premature neonates in a neonatal intensive care unit. Pediatrics 113:e429-e434.

Carrer P, Moscato G. 2004. Biological pollution and allergic diseases. G Ital Med Lav Ergon 26:370-374.

CDC.2003. Second National Report on Human Exposure to Environmental Chemicals. Atlanta, GA:Centers for Disease Control and Prevention, National Center for Environmental Health. Available: http://www.cdc.gov/exposurereport [accessed 5 June 2003].

Chaussabel D. 2004. Biomedical literature mining: challenges and solutions in the 'omics' era. Am J Pharmacogenomics 4:383-393.

de Hoog CL, Mann M. 2004. Proteomics. Annu Rev Benomics Hum Genet 5:267-293.

Dettmer K, Hammock BB. 2004. Metabolomics--a new exciting field within the "omics" sciences. Environ Health Perspect 112:A396-A397.

Fenske RA, Kissel JC, Lu C, Kalman DA, Simcox NJ, Allen EH, et al. 2000. Biologically based pesticide dose estimates for children in an agricultural community. Environ Health Perspect 108:515-520.

Flesch-Janys D, Becher H, Gum P, Jung D, Konietzko J, Manz A, et al. 1996. Elimination of polychlorinated dibenzo-p-dioxins and dibenzofurans in occupationally exposed persons. J Toxicol Environ Health 47:363-378.

Foster WG, Chan S, Platt L, Hughes CL Jr. 2002. Detection of phytoestrogens in samples of second trimester human amniotic fluid. Toxicol Lett 129:199-205.

Goodman RE, Leach JN. 2004. Assessing the allergenicity of proteins introduced into genetically modified crops using specific human IgE assays. J AOAC Int 87:1423-1432.

Horng CJ, Tsai JL, Lin SR. 1999. Determination of urinary arsenic, mercury, and selenium in steel production workers. Biol Trace Elem Res 70:29-40.

Hu Y, Beach J, Raymer J, Gardner M. 2004. Disposable diaper to collect urine samples from young children for pyrethroid pesticide studies. J Expo Anal Environ Epidemiol 14:378-384.

Hu YA, Barr DB, Akland G, Melnyk LJ, Needham LL, Pellizzari ED, et al. 2000. Collecting urine samples from young children using cotton gauze for pesticide studies. J Expo Anal Environ Epidemiol 10:703-709.

Jones PD, Hu W, De Coen W, Newsted JL, Giesy JP. 2003. Binding of perfluorinated fatty acids to serum proteins. Environ Toxicol Chem 22:2639-2649.

Kiechle FL, Zhang X, Holland-Staley CA. 2004. The -omics era and its impact. Arch Pathol Lab Med 128:1337-1345.

Kissel JC, Curl CL, Kedan G, Lu C, Griffith W, Barr DB, et al. 2005. Comparison of organophosphorus pesticide metabolite levels in single and multiple daily urine samples collected from preschool children in Washington State. J Expo Anal Environ Epidemiol 15(2):164-171.

LaKind JS, Berlin CM, Naiman DQ. 2001. Infant exposure to chemicals in breast milk in the United States: what we need to learn from a breast milk monitoring program. Environ Health Perspect 109:75-88.

LaKind JS, Berlin CM, Park CN, Naiman DQ, Gudka NJ. 2000. Methodology for characterizing distributions of incremental body burdens of 2,3,7,8-TCDD and DDE from breast milk in North American nursing infants. J Toxicol Environ Health A 59:605-639.

Lapostolle F, Raynaud PJ, Le Toumelin P, Benaissa A, Agostinucci JM, Adnet F, et al. 2001. Measurement of carbon monoxide in expired breath in prehospital management of carbon monoxide intoxication. Ann Fr Anesth Reanim 20:10-15.

Lee CH, Chuang HY, Shih CC, Jee SH, Wang LF, Chiu HC, et al. 2004. Correlation of serum total IgE, eosinophil granule cationic proteins, sensitized allergens and family aggregation in atopic dermatitis patients with or without rhinitis. J Dermatol 31:784-793.

Leng G, Kuhn KH, Idel H. 1997. Biological monitoring of pyrethroids in blood and pyrethroid matabolites in urine: applications and limitations. Sci Total Environ 199:173-181.

Lin TH, Huang YL, Wang MY. 1998. Arsenic species in drinking water, hair, fingernails, and urine of patients with blackfoot disease. J Toxicol Environ Health A 53:85-93.

Lu C, Anderson LC, Morgan MS, Eenske RA. 1998. Salivary concentrations of atrazine reflect free atrazine plasma levels in rats. J Toxicol Environ Health A 53:283-292.

Makarananda K, Pengpan U, Srisakulthong M, Yoovathaworn K, Sriwatanakul K. 1998. Monitoring of aflatoxin exposure by biomarkers. J Toxicol Sci 23(suppl 2):155-159.

Malir F, Ostry V, Cerna M, Kacerovsky J, Roubal T, Skarkova J, et al. 2004. Monitoring the important mycotoxin biomarkers (ochratoxin A, aflatoxin M1) in the Czech population. Cas Lek Cesk 143:691-696.

Michalek JE, Pirkle JL, Caudill SP, Tripathi RC, Patterson DG Jr, Needham LL. 1996. Pharmacokinetics of TCDD in veterans of Operation Ranch Hand: 10-year follow-up [published erratum J Toxicol Environ Health 52:557]. J Toxicol Environ Health 47:209-220.

NCS. 2004. Final white paper with executive summary. Measurement and analysis of exposure to environmental pollutants and biological agents during the National Children's Study. Rockville, MB:The National Children's Study. Available: http://www.nationalchildrensstudy.gov/ research/methods_studies/[accessed 1 March 2005].

NCS. National Children's Study. 2005. Home page. Rockville, MD:The National Children's Study. Available: http://www. nationalchildrens study.gov/[accessed 1 March 2005].

Needham LL, Barr DB, Calafat AM. 2004. Characterizing children's exposures: beyond NHANES. Neurotoxicology doi: 10.1016/j.neuro.2004.09.006 [Online 26 Nov 2004].

Needham LL, Sexton K. 2000. Assessing children's exposure to hazardous environmental chemicals: an overview of selected research challenges and complexities. J Expo Anal Environ Epidemiol 10:611-629.

Needham LL, Ozkaynak H, Whyatt RM, Barr DB, Wang RY, Naeher L, et al. 2005. Exposure assessment in the National Children's Study: Introduction. Environ Health Perspect 113(8):1076-1082.

Olden K. 2004. Genomics in environmental health research--opportunities and challenges. Toxicology 198:19-24.

Ostrea EM Jr. 1999. Testing for exposure to illicit drugs and other agents in the neonate: a review of laboratory methods and the role of meconium analysis. Curr Probl Pediatr 29:37-56.

Ostrea EM Jr, Knapp DK, Romero A, Montes M, Ostrea AR. 1994. Meconium analysis to assess fetal exposure to nicotine by active and passive maternal smoking. J Pediatr 124:471-476.

Paredi P, Kharitonov SA, Barnes PJ. 2002. Analysis of expired air for oxidation products. Am J Respir Crit Care Med 166: S31-S37.

Patterson DG, Jr, Holler JS, Relser WT, Boozer EL, Lapeza CR, Needham LL. 1987. Determination of 2,3,7,8-TCDD in human adipose tissure on whole-weight and lipid bases. Chemosphere 16:935-938.

Pellizzari ED, Wallace LA, Gordon SM. 1992. Elimination kinetics of volatile organics in humans using breath measurements. J Expo Anal Environ Epidemiol 2:341-355.

Phillips DL, Pirkle JL, Burse VW, Bernert JT Jr, Henderson LO, Needham LL. 1989a. Chlorinated hydrocarbon levels in human serum: effects of fasting and feeding. Arch Environ Contain Toxicol 18:495-500.

Phillips DL, Smith AB, Burse VW, Steele GK, Needham LL, Hannon WH. 1989b. Half-life of polychlorinated biphenyls in occupationally exposed workers. Arch Environ Health 44:351-354.

Pirkle JL, Needham LL, Sexton K. 1995. Improving exposure assessment by monitoring human tissues for toxic chemicals. J Expo Anal Environ Epidemiol 5:405-424.

Pirkle JL, Wolfe WH, Patterson DG, Needham LL, Michalek JE, Miner JC, et al. 1989. Estimates of the half-life of 2,3,7,8-tetrachlorodibenzo-p-dioxin in Vietnam Veterans of Operation Ranch Hand. J Toxicol Environ Health 27:165-171.

Rozman KK, Klaasen CD. 2001. Absorption, distribution and excretion of toxicants. In: Casarett and Doull's Toxicology: The Basic Science of Poisons (Klaassen CD, ed). 6th ed. New York:McGraw-Hill Publishing, 107-132

Schettgen T, Broding HC, Angerer J, Drexler H. 2002. Hemoglobin adducts of ethylene oxide, propylene oxide, acrylonitrile and acrylamide-biomarkers in occupational and environmental medicine. Toxicol Lett 134:65-70.

Sexton K, Callahan MA, Bryan EF. 1995. Estimating exposure and dose to characterize health risks: the role of human tissue monitoring in exposure assessment. Environ Health Perspect 103(suppl 3):13-29.

Shenoi R, Stewart G, Rosenberg N. 1998. Screening for carbon monoxide in children. Pediatr Emerg Care 14:399-402.

Smith CJ, Guy TD, Stiles MF, Morton MJ, Collie BB, Ingebrethsen BJ, et al. 1998. A repeatable method for determination of carboxyhemoglobin levels in smokers. Hum Exp Toxicol 17:29-34.

United Nations Environment Program. 2001. Final Act of the Conference of Plenipotentiaries on Stockholm Convention on Persistent Organic Pollutants. Available: http://www. chem.unep.ch/pops/POPs_Inc/dipcon/dipconsignat.htm [accessed 4 March 2005].

Wetmore BA, Merrick BA. 2004. Toxicoproteomics: preteomics applied to toxicology and pathology. Toxicol Pathol 32: 619-642.

Whyatt RM, Barr DB, 2001. Measurement of organophosphate metabolites in postpartum meconium as a potential biomarker of prenatal exposure: a validation study. Environ Health Perspect 109:417-420.

Wilhelm M, Idel H. 1996. Hair analysis in environmental medicine. Zentralbl Hyg Umweltmed 198:485-501.

Dana B. Barr, Richard Y. Wang, and Larry L. Needham

National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA

This article is part of the mini-monograph "Assessing Exposures to Environmental Agents during the National Children's Study."

Address correspondence to D.B. Barr, CDC, 4770 Buford Highway, Mailstop F17, Atlanta, GA 30341 USA. Telephone: [phone]. Fax: [phone]. E-mail: [e-mail]

We thank the members of the Chemical Exposures Workgroup of the National Children's Study for their invaluable input and critical review of the content of this manuscript, especially G. Akland, K. Thomas, and H. Ozkaynak.

The authors declare they have no competing financial interests.

Received 20 September 2004; accepted 31 March 2005.

Table 1. Importance of various biolooic matrices for measurina exposure
during the different life stages.

                                               Fetal period (trimester)
                                 Adult pre-
Matrices                         conception     1st      2nd      3rd

POPS
  Blood (whole)                      1          NA       NA       NA
  Blood (serum)                      1          NA       NA       NA
  Blood (plasma)                     1          NA       NA       NA
  Urine                              3          NA       NA       NA
  Saliva                             3          NA       NA       NA
  Hair                               3          NA       NA       NA
  Nails                              3          NA       NA       NA
  Adipose tissue                     1          NA       NA       NA
  Feces                              3          NA       NA       NA
  Semen                              3          NA       NA       NA
  Breath                             3          NA       NA       NA
  Teeth                              NA         NA       NA       NA
  Cord blood                         1           1        1        1
  Meconium                           3           2        2        2
  Milk (maternal)                    1           1        1        1
  Blood (maternal)                   1           1        1        1
  Urine (maternal)                   3           3        3        3
  Hair (maternal)                    3           3        3        3
  Adipose tissue (maternal)          1           1        1        1
Nonpersistent organic chemicals
  Blood (whole)                      1          NA       NA       NA
  Blood (serum)                      1          NA       NA       NA
  Blood (plasma)                     1          NA       NA       NA
  Urine                              1          NA       NA       NA
  Saliva                             2          NA       NA       NA
  Hair                               3          NA       NA       NA
  Nails                              3          NA       NA       NA
  Adipose tissue                     3          NA       NA       NA
  Feces                              3          NA       NA       NA
  Semen                              3          NA       NA       NA
  Breath                             3          NA       NA       NA
  Teeth                              3          NA       NA       NA
  Cord blood                         3           3        3        1
  Meconium                           3           3        2        2
  Milk (maternal)                    3           3        3        3
  Blood (maternal)                   3           1        1        1
  Urine (maternal)                   3           1        1        1
  Hair (maternal)                    3           3        3        3
  Adipose tissue (maternal)          3           3        3        3
VOCS
  Blood (whole)                      1          NA       NA       NA
  Blood (serum)                      3          NA       NA       NA
  Blood (plasma)                     3          NA       NA       NA
  Urine                              2          NA       NA       NA
  Saliva                             3          NA       NA       NA
  Hair                               3          NA       NA       NA
  Nails                              3          NA       NA       NA
  Adipose tissue                     2          NA       NA       NA
  Feces                              3          NA       NA       NA
  Semen                              3          NA       NA       NA
  Breath                             1          NA       NA       NA
  Teeth                              3          NA       NA       NA
  Cord blood                         3           3        3        1
  Meconium                           3           3        3        3
  Milk (maternal)                    3           3        3        3
  Blood (maternal)                   3           1        1        1
  Urine (maternal)                   3           3        3        3
  Hair (maternal)                    3           3        3        3
  Adipose tissue (maternal)          3           3        3        3
Bioaccumulative inorganic chemicals
  Blood (whole)                      1          NA       NA       NA
  Blood (serum)                      3          NA       NA       NA
  Blood (plasma)                     3          NA       NA       NA
  Urine                              2          NA       NA       NA
  Saliva                             3          NA       NA       NA
  Hair                               2          NA       NA       NA
  Nails                              2          NA       NA       NA
  Adipose tissue                     3          NA       NA       NA
  Feces                              3          NA       NA       NA
  Semen                              3          NA       NA       NA
  Breath                             3          NA       NA       NA
  Teeth                              3          NA       NA       NA
  Cord blood                         2           2        2        1
  Meconium                           3           2        2        2
  Milk (maternal)                    3           3        3        3
  Blood (maternal)                   1           1        1        1
  Urine (maternal)                   3           2        2        2
  Hair (maternal)                    2           2        2        2
  Adipose tissue (maternal           3           3        3        3
Nonbioaccumulative inorganic chemicals
  Blood (whole)                      3          NA       NA       NA
  Blood (serum)                      3          NA       NA       NA
  Blood (plasma)                     3          NA       NA       NA
  Urine                              1          NA       NA       NA
  Saliva                             3          NA       NA       NA
  Hair                               2          NA       NA       NA
  Nails                              2          NA       NA       NA
  Adipose tissue                     3          NA       NA       NA
  Feces                              3          NA       NA       NA
  Semen                              3          NA       NA       NA
  Breath                             3          NA       NA       NA
  Teeth                              3          NA       NA       NA
  Cord blood                         3           3        3        3
  Meconium                           3           3        3        3
  Milk (maternal)                    3           3        3        3
  Blood (maternal)                   3           3        3        3
  Urine (maternal)                   3           1        1        1
  Hair (maternal)                    2           2        2        2
  Adipose tissue (maternal)          3           3        3        3
Criteria pollutants (CO only)
  Blood (whole)                      1          NA       NA       NA
  Blood (serum)                      3          NA       NA       NA
  Blood (plasma)                     3          NA       NA       NA
  Urine                              3          NA       NA       NA
  Saliva                             3          NA       NA       NA
  Hair                               3          NA       NA       NA
  Nails                              3          NA       NA       NA
  Adipose tissue                     3          NA       NA       NA
  Feces                              3          NA       NA       NA
  Semen                              3          NA       NA       NA
  Breath                             1          NA       NA       NA
  Teeth                              3          NA       NA       NA
  Cord blood                         3           3        3        1
  Meconium                           3           3        3        3
  Milk (maternal)                    3           3        3        3
  Blood (maternal)                   3           1        1        1
  Urine (maternal)                   3           3        3        3
  Hair (maternal)                    3           3        3        3
  Adipose tissue (maternal)          3           3        3        3
Bioallergens
  Blood (whole)                      1          NA       NA       NA
  Blood (serum)                      1          NA       NA       NA
  Blood (plasma)                     1          NA       NA       NA
  Urine                              2          NA       NA       NA
  Saliva                             3          NA       NA       NA
  Hair                               3          NA       NA       NA
  Nails                              3          NA       NA       NA
  Adipose tissue                     3          NA       NA       NA
  Feces                              3          NA       NA       NA
  Semen                              3          NA       NA       NA
  Breath                             3          NA       NA       NA
  Teeth                              3          NA       NA       NA
  Cord blood                         3           1        1        1
  Meconium                           3           3        3        3
  Milk (maternal)                    3           3        3        3
  Blood (maternal)                   3           1        1        1
  Urine (maternal)                   3           2        2        2
  Hair (maternal)                    3           3        3        3
  Adipose tissue (maternal)          3           3        3        3
Amount of matrix reasonably obtainable at each life stage (a)
  Blood (whole)                     100          0        0        0
  Blood (serum)                      40          0        0        0
  Blood (plasma)                     40          0        0        0
  Urine                             100          0        0        0
  Saliva                             2           0        0        0
  Hair                            0.5-4 g        0        0        0
  Nails                                          0        0        0
  Adipose tissue                    log          0        0        0
  Feces                             log          0        0        0
  Semen                              2           0        0        0
  Breath                                         0        0        0
  Teeth                              0           0        0        0
  Cord blood                       30-60       30-60    30-60    30-60
  Meconium                          2 g         2 g      2 g      2 g
  Milk (maternal)                  > 100       > 100    > 100    > 100
  Blood (maternal)                  100         100      100      100
  Urine (maternal)                 > 100       > 100    > 100    > 100
  Hair (maternal)                    *           *        *        *
  Adipose tissue (maternal)         log         log      log      log

                                          Age (years)

Matrices                           0-1        2-3       4-11

POPS
  Blood (whole)                     1          1          1
  Blood (serum)                     1          1          1
  Blood (plasma)                    1          1          1
  Urine                             3          3          3
  Saliva                           NA          3          3
  Hair                              3          3          3
  Nails                             3          3          3
  Adipose tissue                   NA         NA         NA
  Feces                             3          3          3
  Semen                            NA         NA         NA
  Breath                           NA          3          3
  Teeth                            NA         NA          3
  Cord blood                        3          3          3
  Meconium                          3          3          3
  Milk (maternal)                   1          3          3
  Blood (maternal)                  1          3          3
  Urine (maternal)                  3          3          3
  Hair (maternal)                   3          3          3
  Adipose tissue (maternal)         1          3          3
Nonpersistent organic chemicals
  Blood (whole)                     1          1          1
  Blood (serum)                     1          1          1
  Blood (plasma)                    1          1          1
  Urine                             1          1          1
  Saliva                           NA          2          2
  Hair                              3          3          3
  Nails                             3          3          3
  Adipose tissue                   NA         NA         NA
  Feces                             3          3          3
  Semen                            NA         NA         NA
  Breath                           NA          3          3
  Teeth                            NA         NA          3
  Cord blood                        3          3          3
  Meconium                          3          3          3
  Milk (maternal)                   2          3          3
  Blood (maternal)                  3          3          3
  Urine (maternal)                  3          3          3
  Hair (maternal)                   3          3          3
  Adipose tissue (maternal)         3          3          3
VOCS
  Blood (whole)                     1          1          1
  Blood (serum)                     3          3          3
  Blood (plasma)                    3          3          3
  Urine                             2          2          2
  Saliva                           NA          3          3
  Hair                              3          3          3
  Nails                             3          3          3
  Adipose tissue                   NA         NA         NA
  Feces                             3          3          3
  Semen                            NA         NA         NA
  Breath                           NA          1          1
  Teeth                            NA         NA          3
  Cord blood                        3          3          3
  Meconium                          3          3          3
  Milk (maternal)                   2          3          3
  Blood (maternal)                  3          3          3
  Urine (maternal)                  3          3          3
  Hair (maternal)                   3          3          3
  Adipose tissue (maternal)         3          3          3
Bioaccumulative inorganic chemicals
  Blood (whole)                     1          1          1
  Blood (serum)                     3          3          3
  Blood (plasma)                    3          3          3
  Urine                             2          2          2
  Saliva                           NA          3          3
  Hair                              2          2          2
  Nails                             2          2          2
  Adipose tissue                   NA         NA         NA
  Feces                             3          3          3
  Semen                            NA         NA         NA
  Breath                           NA          3          3
  Teeth                            NA         NA          2
  Cord blood                        3          3          3
  Meconium                          3          3          3
  Milk (maternal)                   3          3          3
  Blood (maternal)                  3          3          3
  Urine (maternal)                  3          3          3
  Hair (maternal)                   3          3          3
  Adipose tissue (maternal          3          3          3
Nonbioaccumulative inorganic chemicals
  Blood (whole)                     3          3          3
  Blood (serum)                     3          3          3
  Blood (plasma)                    3          3          3
  Urine                             1          1          1
  Saliva                           NA          3          3
  Hair                              2          2          2
  Nails                             2          2          2
  Adipose tissue                   NA         NA         NA
  Feces                             3          3          3
  Semen                            NA         NA         NA
  Breath                           NA          3          3
  Teeth                            NA         NA          3
  Cord blood                        3          3          3
  Meconium                          3          3          3
  Milk (maternal)                   3          3          3
  Blood (maternal)                  3          3          3
  Urine (maternal)                  3          3          3
  Hair (maternal)                   3          3          3
  Adipose tissue (maternal)         3          3          3
Criteria pollutants (CO only)
  Blood (whole)                     1          1          1
  Blood (serum)                     3          3          3
  Blood (plasma)                    3          3          3
  Urine                             3          3          3
  Saliva                           NA          3          3
  Hair                              3          3          3
  Nails                             3          3          3
  Adipose tissue                   NA         NA         NA
  Feces                             3          3          3
  Semen                            NA         NA         NA
  Breath                           NA          1          1
  Teeth                            NA         NA          3
  Cord blood                        3          3          3
  Meconium                          3          3          3
  Milk (maternal)                   3          3          3
  Blood (maternal)                  3          3          3
  Urine (maternal)                  3          3          3
  Hair (maternal)                   3          3          3
  Adipose tissue (maternal)         3          3          3
Bioallergens
  Blood (whole)                     1          1          1
  Blood (serum)                     1          1          1
  Blood (plasma)                    1          1          1
  Urine                             2          2          2
  Saliva                           NA          3          3
  Hair                              3          3          3
  Nails                             3          3          3
  Adipose tissue                   NA         NA         NA
  Feces                             3          3          3
  Semen                            NA         NA         NA
  Breath                           NA          3          3
  Teeth                            NA         NA          3
  Cord blood                        3          3          3
  Meconium                          3          3          3
  Milk (maternal)                   3          3          3
  Blood (maternal)                  3          3          3
  Urine (maternal)                  3          3          3
  Hair (maternal)                   3          3          3
  Adipose tissue (maternal)         3          3          3
Amount of matrix reasonably obtainable at each life stage (a)
  Blood (whole)                     9         22         38
  Blood (serum)                   3.60       8.80       15.20
  Blood (plasma)                  3.60       8.80       15.20
  Urine                           1-10       10-20      30-50
  Saliva                            0         1-2        1-2
  Hair                           < 0.5 g    0.5-2 g    0.5-4 g
  Nails
  Adipose tissue                    0          0          0
  Feces                            3 g        5 g       1 Og
  Semen                             0          0          0
  Breath                            *          *          *
  Teeth                             0          0        6-10
  Cord blood                       NA         NA         NA
  Meconium                         NA         NA         NA
  Milk (maternal)                 > 100       NA         NA
  Blood (maternal)                 100        100        100
  Urine (maternal)                > 100      > 100      > 100
  Hair (maternal)                   *          *          *
  Adipose tissue (maternal)         0          0          0

Abbreviations: 1, important matrix for most chemicals in category; 2,
important matrix for one or two chemicals in category; 3, not an
important matrix for assessing exposure for chemicals in the category;
NA, matrix not viable for life stage because it cannot be feasibly
collected or the chemical cannot typically be measured in the matrix or
does not represent exposures in a given life stage; *, unknown amount.
Note that matrices available for assessment in 12-to 21-year-olds are
similar to those for adults. (a) All units are in milliliters unless
otherwise stated.

Table 2. Storage requirements and characteristics for biologic matrices
and chemical classes.
                                          Storage
Chemical class           Chemicals      temperature             Matrix

Pops                     All          -70[degrees]C      Milk
                         All          -70[degrees]C      Serum/plasma
                         All          -70[degrees]C      Adipose tissue
Nonpersistent            All          -70[degrees]C      Urine
organic compounds        Phthalates   -70[degrees]C      Serum/plasma
                         Pesticides   -70[degrees]C      Serum/plasma
                         Others       -70[degrees]C      Serum/plasma
VOCS                                    4[degrees]C      Whole blood
Bioaccumulative metals                  4[degrees]C      Whole blood
Nonbioaccumulative                    -20[degrees]C      Urine
metals                                Room temperature   Hair

                            Matrix             Chemical
Chemical class            stability           stability

Pops                     Years          Years
                         Years          Years
                         Years          Years
Nonpersistent            Years          Years
organic compounds        Years          Years
                         ~5 years       Up to 1 year (less
                                          for many of the
                                          reactive pesticides)
                         Years          Years
VOCS                     10 weeks       > 10 weeks
Bioaccumulative metals   Indefinitely   Indefinitely
Nonbioaccumulative       Indefinitely   Indefinitely
metals                   Indefinitely   Indefinitely

                                                       Preservative
Chemical class                  Container              requirements

Pops                     Polypropylene, no glass   NA
                           or Teflon
                         Polypropylene, no glass
                           or Teflon               NA
                         Polypropylene, no glass
                           or Teflon               NA
Nonpersistent            Polypropylene or glass    NA
organic compounds        Polypropylene or glass    125 [micro]mol
                                                     [H.sub.3]
                                                     P[O.sub.4]/mL
                                                     matrix
                         Polypropylene or glass    None
                         Polypropylene or glass    NA
VOCS                     Heat and vacuum-purged    NaF/ potassium
                           glass gray-top            oxalate
                           Vacutainer; restore
                           sterility
Bioaccumulative metals   Purple-top liquid EDTA    NA
                           Vacutainer; second or
                           third draw
Nonbioaccumulative       Prescreened               For Hg, Triton X-
metals                                               100, sulfamic acid
                         Zipper bag                NA

Table 3. Characteristics of analytical methods for measuring chemical
classes in biologic matrices.

Chemical class          Most typical matrices       Methodology used

POPs                    Blood (serum or plasma)          GC-HRMS
                        Milk                             GC-HRMS
                        Adipose tissue                   GC-HRMS
Nonpersistent organic   Blood (serum or plasma)    GC-HRMS; HPLC-MS/MS
  chemicals             Urine                     GC-MS/MS; HPLC-MS/MS;
                                                       immunoassay
                        Saliva                     GC-HRMS; GC-MS/MS;
                                                       HPLC-MS/MS
                        Milk                       GC-HRMS; GC-MS/MS;
                                                       HPLC-MS/MS
VOCS                    Blood (whole)                GC-MSD; GC-HRMS
                        Breath                           GC-MSD
Bioaccumulative         Blood (whole)                    ICP-MS
  metals                Hair                             ICP-MS
Nonbioaccumulative      Blood (whole)                    ICP-MS
  metals                Urine                            ICP-MS
                        Hair                             ICP-MS

                                                  Detection limits
Chemical class          Most typical matrices        (per gram)

POPs                    Blood (serum or plasma)         fg-pg
                        Milk                            fg-pg
                        Adipose tissue                  fg-pg
Nonpersistent organic   Blood (serum or plasma)         fg-pg
  chemicals             Urine                           fg-pg
                        Saliva                          fg-pg
                        Milk                            fg-pg
VOCS                    Blood (whole)                    pg
                        Breath                           ng
Bioaccumulative         Blood (whole)                    ng
  metals                Hair                             ng
Nonbioaccumulative      Blood (whole)                    ng
  metals                Urine                            ng
                        Hair                             ng

                                                  Relative
Chemical class          Most typical matrices      SD (%)

POPs                    Blood (serum or plasma)     15-25
                        Milk                        15-25
                        Adipose tissue              15-25
Nonpersistent organic   Blood (serum or plasma)     10-20
  chemicals             Urine                       10-15
                        Saliva                      10-15
                        Milk                        10-15
VOCS                    Blood (whole)               10-20
                        Breath                      10-20
Bioaccumulative         Blood (whole)               10-15
  metals                Hair                        10-15
Nonbioaccumulative      Blood (whole)               10-15
  metals                Urine                       10-15
                        Hair                        10-15

                                                    Throughput
Chemical class          Most typical matrices     (samples/day)

POPs                    Blood (serum or plasma)         20
                        Milk                            20
                        Adipose tissue                  10
Nonpersistent organic   Blood (serum or plasma)         30
  chemicals             Urine                           50
                        Saliva                          30
                        Milk                            40
VOCS                    Blood (whole)                  10-20
                        Breath                          20
Bioaccumulative         Blood (whole)                   40
  metals                Hair                            40
Nonbioaccumulative      Blood (whole)                   40
  metals                Urine                           40
                        Hair                            40

                                                     Volume      Cost
Chemical class          Most typical matrices     for analysis    (a)

POPs                    Blood (serum or plasma)      2-30 mL       H
                        Milk                         2-30 mL       H
                        Adipose tissue                1-2 g        H
Nonpersistent organic   Blood (serum or plasma)      2-10 mL       H
  chemicals             Urine                        1-4 mL       L-M
                        Saliva                       1-4 mL        H
                        Milk                         1-10 mL       H
VOCS                    Blood (whole)                5-10 mL       M
                        Breath                      10-20 mL       M
Bioaccumulative         Blood (whole)                1-2 mL       L-M
  metals                Hair                                       M
Nonbioaccumulative      Blood (whole)                1-2 mL       L-M
  metals                Urine                        1-5 mL       L-M
                        Hair                                       M

Abbreviations: GC, gas chromatography; HPLC, high-performance liquid
chromatography; HRMS, high-resolution mass spectrometry; MS/MS, tandem
mass spectrometry; MSD, mass selective detector.

(a) L, low cost: < $100; M, medium cost: $100-500; H, high cost:
> $500.