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KINETIC PARAMETERS OF Gracilaria chilensis SEAWEED FERMENTATION/ PARAMETROS CINETICOS DE FERMENTACION DE LA MACROALGA Gracilaria chilensis/ PARAMETROS CINETICOS DE FERMENTACAO DA MACROALGA Gracilaria chilensis.

Introduction

Biomass obtained from soil-cultivated raw materials has played an important role in bioenergy production. Ethanol biofuels have been produced by countries such as Brazil, Canada and the United States; however, the issue of using agricultural land for this purpose has been widely discussed. (Somma et al., 2009).

Macroalgae as raw material have many advantages compared to the biomass obtained from food or cellulosic material because macroalgae can grow in different environments (seawater, blackwater, wastewater and saltwater) and have high growth rates and greater mass productivity per area unit compared to terrestrial plants (22.46 dry weight/ [m.sup.2]/year vs 0.5-4.4kg dry weight/[m.sup.2]/year (Wi et al., 2009), since macroalgae may be cultivated in three dimensions rather than in two, as is the case on land. Additionally, the nutrients that macroalgae require for development are found in marine habitats; thus, their cultivation does not require fertilizers (Buck y Buchholz, 2004; Jung et al., 2013). The water content of macroalgae is between 80 to 90% of that of terrestrial plants, making them a very reactive substrate to the action of microorganisms. Furthermore, macroalgae have high carbohydrate concentrations, reaching values above 70% (Cardozo et al., 2007; Sebaaly et al, 2012), which can be easily depolymerized by different microorganisms or bacteria for conversion into bioenergy.

Therefore, macroalgae are considered an excellent alternative source of renewable and sustainable biomass for the production of liquid biofuels such as ethanol and butanol. Among the different macroalgae divisions, red macroalgae are characterized by their high concentration of carbohydrates, composed of monomeric units of glucose that form cellulose and monomeric units of galactose that form agar (galactans) and carrageenans (primarily sulphated galactose) (Yoon et al., 2010; Park et al., 2012). Red macroalgae are particularly noted as biomass for bioethanol production because their carbohydrates are easily hydrolysable compared to the carbohydrates in brown and green algae (Kim et al, 2012; Lee et al., 2013; Seguel et al., 2015).

Based on a number of studies on the production of bioethanol, bioenergy production from algae is still in the initial development stage and the search for more efficient and economically viable processes continues (Horn et al., 2000; Wei et al, 2013). Among these, the influence of different stress factors on the quality and effectiveness of the fermentation process are emphasized. These factors include the lack of micro- and macronutrients, very low pH, which affects the ionic equilibrium, generation of inhibitory microorganisms, secondary reactions, and inadequate temperature and oxygen concentrations (Teixeira et al., 2009; Zinnai et al., 2013).

The production of bioethanol using Saccharomyces cerevisiae as a fermenting microorganism and Gracilaria sp. as a sole carbon source has been recently studied (Kumar et al., 2013). However, there are no studies on the kinetic parameters of this yeast with Gracilaria chilensis for ethanol production. In this study, the main fermentation kinetic growth parameters, including specific growth rate, maximum specific growth rate, affinity constant, biomass yield and product yield of fermentation processes for the production of bioethanol were evaluated.

Methods

All fermentations processes were carried out using different concentrations of carbohydrates of Gracilaria chilensis (red macroalgae) which were inoculated with a defined optical density of Saccharomyces cerevisiae, under controlled oxygen, pH and temperature conditions.

Microorganisms and inoculum preparation

A yeast solution was prepared suspending 1g of commercial lyophilized Saccharomyces cerevisiae (baker's yeast, Lefersa, Chile) in 1% (w/v) glucose solution. The sterilized solution was activated at 40[degrees]C with constant shaking for 30-40min. The activated yeast was cultured in 100ml of solid YEPD (2g of glucose, 2g of peptone, 2g of agar, and 1g of yeast extract). For inoculum preparation the microorganism was cultured in 100ml of liquid yeast extract peptone dextrose (YEPD) media (2g of glucose, 2g of peptone, and 1g of yeast extract) on a rotary shaker at 200rpm. The media were prepared using distilled water, pH was adjusted to 5.0 and the cells of S. cerevisiae were grown at 30[degrees]C overnight.

Batch fermentation

Batch fermentations were carried out in 500ml E-flasks with 40, 30 and 20g x [l.sup.-1] of the initial reducing sugars from G. chilensis as the sole carbon source. The different solutions were inoculated with 50ml of yeast inoculums (equivalent to an optical density of 1.7g x [l.sup.-1]) and the pH was adjusted to 5.0. The experiments were carried out for 15h at 27[degrees]C under limited oxygen at 250rpm. The monitoring of individual fermentations was accomplished by taking 5ml samples at time 0 and every 1h. The glucose and the cell growth quantitation were determined using previously described methods (Seguel et al, 2015). Ethanol concentration was measured by gas chromatography (7890A GC-System, Agilent Technologies) equipped with an FID detector, Restek Stabiwax-DA (30m, 0.32mmID, 0.25 [micro]m df column). The injection volume was 1 [micro]l with an inlet split ratio of 30:1. Initial and maximum oven temperatures were 35 and 225[degrees]C.

Calculation of kinetic parameters

The time-dependent evaluation of the fermenting microorganism S. cerevisiae on G. chilensis carbohydrate substrates was conducted by determining the specific growth rate ([mu]), maximal specific growth rate ([[mu].sub.max]) and the saturation constant Ks (substrate affinity). These parameters were obtained by linearization of the Monod equation (Eq. 1). The calculation of [mu] was carried out by means of Eq. 2 and that of [[mu].sub.max] and Ks by using the Lineweaver-Burke transformation (Eq. 3). The Monod equation relates the maximal microbial growth rate to the concentration of the limiting substrate (Waites et al., 2001). The Ks value is usually low when the microorganism has a high affinity for the limiting substrate.

[mu] = [[mu].sub.max]]([S/[kS + S]]) (1)

[mu] = ([[X.sub.o][X.sub.i]/[t.sub.o][t.sub.i]]) x [1/[X.sub.o]] (2)

[1/[mu]] = [1/[[mu].sub.max]] + [ks/[[mu].sub.max]] x [1/s] (3)

where [mu]: specific growth rate ([h.sup.-1]), [[mu].sub.max] : maximal specific growth rate ([h.sup.-1]), Ks: saturation constant (g x [l.sup.-1]), S: substrate concentration (g x [l.sup.-1]), X: S. cerevisiae biomass in g x [l.sup.-1], and t: sampling time (h). Subscripts i and o: initial and final, respectively.

Results and Discussion

It has been well-documented that the ability of Saccharomyces cerevisiae to metabolize hexoses depends on several variables, including pH, temperature, yeast immobilization, anaerobic conditions, and initial microorganism and substrate concentrations, among other (Bai et al., 2008). Since the substrate conversion rate depends on the concentration of the microorganism population in the medium. The effects in the fermentation kinetics were analysed in relation to different concentrations of carbohydrates from G. chilensis (40, 30 and 20g x [l.sup.-1], corresponding to fermentations A, B and C, respectively), which were inoculated with S. cerevisiae at an initial optical density (OD) equivalent to 1.7g x [l.sup.-1]. All fermentation was performed in triplicate under anaerobic, temperature and pH conditions as described previously, during an incubation time of 15h. Fermentations A and B, corresponding to the highest carbohydrate concentrations (Figures 1 and 2), displayed a relatively normal substrate decrease rate, but low bioethanol concentrations were obtained (2.3 and 3.8g x [l.sup.-1], respectively). The lack o efficiency in carbohydrate conversion is demonstrated by the low product yields (Yp/s) (Table I). However, when a lower substrate concentration was used (fermentation C; Figure 3), the yield (Yp/s) increased from 0.08 to 0.47, which agrees with the high percentage of carbohydrates (91.80%) that were metabolized by the yeast (calculated based on 0.51g ethanol/g glucose, which is generated in the stoichiometric conversion of glucose into ethanol) (Borines et al., 2013). The start of the microorganism's stationary growth phase occurred within the same time period in all fermentations (10 to 11h). Nonetheless, the biomass yield as a function of the substrate (Yx/s) shows that it increased significantly from 0.39 to 0.90 when the substrate concentration decreased from 40 to 20g x [l.sup.-1]. Figure 4 shows the specific growth rate [mu] ([h.sup.-1]) for fermentations A, B and C; the highest values for each were 0.46, 0.44 and 0.28[h.sup.-1], respectively. These experimental results are similar to the maximum specific growth rate [[mu].sub.max] ([h.sup.-1]) calculated by the Lineweaver-Burk equation. A significant influence of the initial substrate concentration on the maximum specific growth of fermentations A and B was not observed. However, a substantial reduction of [[mu].sub.max] was obtained in fermentation C (Table I).

Studies on the kinetic parameters of Saccharomyces spp. with different substrates (Bauer y Pretorius, 2000; Brethauer y Wyman, 2010; Basso et al., 2011) showed diverse values for the saturation constant (Ks). However, according to the Monod model, Ks is inversely related to the affinity of the microorganism for the substrate (Hernandez, 2003). The experimental values obtained for this parameter (Table I) show a clear trend towards a decrease as the initial carbohydrate concentration decreases. These results agree with the idea that lower Ks values are indicative of better substrate/microorganism affinity. The data obtained show that high initial carbohydrate concentrations can decrease the efficiency of conversion into ethanol; these are consistent with other sugar fermentation studies with Saccharomyces spp. (Helle et al., 2003; Lin et al., 2012). One of the reasons for low ethanol production during fermentation with high initial carbohydrate concentrations may be the accumulation of sub-products that can modify the ionic equilibrium of the fermentation medium (change in pH). Also, high substrate concentrations can generate a respiratory deficiency in the yeast, inhibiting its metabolic activity. An increase in the osmotic pressure gradient through the cell membrane when the concentrations of some solutes are very high may be another factor determining the low ethanol production (Thomas y Ingledew, 1992).

Conclusions

This study is the first to report the kinetic parameters obtained from the fermentation of Gracilaria chilensis carbohydrates by Saccharomyces cerevisiae. The collected data demonstrate the influence of initial substrate concentration on the kinetic parameters under constant oxygen, temperature and pH conditions. The maximum specific growth rate of the yeast is influenced by the initial substrate concentration. High initial carbohydrate concentrations increase the maximum specific growth rate of the yeast. However, the substrate's inhibitory effects are also accelerated, decreasing both cell growth and ethanol production (Yx/s, Yp/s). At lower substrate concentrations, lower Ks values were obtained, indicating better affinity of the yeast to the substrate. Positive effects on cell activity and ethanol production can be observed when the yeast/ substrate ratio reaches values close to 10% of the microorganism cell concentration (Thomas y Ingledew, 1992).

ACKNOWLEDGEMENTS

This work was supported by the Chilean National Research Foundation FONDEF D06i1 099 and UTA Mayor Program Research.

REFERENCES

Bai F, Anderson W, Moo-Young M (2008) Ethanol fermentation technologies from sugar and starch feedstocks. Biotechnol. Adv. 26: 89-105.

Basso L, Basso T, Rocha S (2011) Ethanol production in Brazil: The industrial process and its impact on yeast fermentation. In Bernardes MAS (Ed.) Biofuel Production-Recent Developments and Prospects. InTech. Rijeka, Croatia. pp. 85-100.

Bauer F, Pretorius I (2000) Yeast stress response and fermentation efficiency: how to survive the making wine. J. Enol. Viticult. 21: 27-51.

Borines M, Leon R, Cuello J (2013) Bioethanol production from the macroalgae Sargassum spp. Bioresource Technol. 138: 22-29.

Brethauer S, Wyman C (2010) Review: Continuous hydrolysis and fermentation for cellulosic ethanol production. Bioresource Technol. 101: 4862-4874.

Buck H, Buchholz M (2004) The offshore-ring: A new system design for the open ocean aquaculture of macroalgae. J. Appl. Phycol. 16: 355-368.

Cardozo K, Guaratini T, Barros M, Falcao V, Tonon A, Lopes N, Campos S, Torres M, Souza A, Colepicolo P, Pinto E (2007) Metabolites from algae with economical impact. Comp. Biochem. Physiol. C: Toxicol. Pharmacol. 146: 60-78.

Helle S, Cameron D, Lam J, White B, Duff S (2003) Effect of inhibitory compounds found in biomass hydrolysates on growth and xylose fermentation by a genetically engineered strain of S. cerevisiae. Enz. Microb. Technol. 33: 786-792.

Hernandez A (2003) Microbiologia Industrial. EUNED. Costa Rica. 296 pp.

Horn S, Aasen I, 0stgaard K (2000) Ethanol production from seaweed extract. J. Indust. Microbiol. Biotechnol. 25: 249-254.

Jung K, Lim S, Kim Y, Park J (2013) Potentials of macroalgae as feedstocks for biorefinery. Bioresource Technol. 135: 182-190.

Kim H, Lee S, Kim K, Choi I (2012) The complete enzymatic saccharification of agarose and its application to simultaneous saccharification and fermentation of agarose for ethanol production. Bioresource Technol. 107: 301-306.

Kumar S, Gupta R, Kumar G, Sahoo D, Kuhad R (2013) Bioethanol production from Gracilaria verrucosa, a red alga, in a biorefinery approach. Bioresource Technol. 135: 150-156.

Lee J, Li P, Lee J, Ryu H J, Oh K K (2013) Ethanol production from Saccharina japonica using an optimized extremely low acid pretreatment followed by simultaneous saccharification and fermentation. Bioresource Technol. 127: 119-125.

Lin Y, Zhang W, Li C, Sakakibara K, Tanaka S, Kong H (2012) Factors affecting ethanol fermentation using Saccharomyces cerevisiae BY4742. Biomass Bioenergy 47: 395-401.

Park J-H, Hong J-Y, Jang H C, Oh S G, Kim S-H, Yoon J-J, Kim Y J (2012) Use of Gelidium amansii as a promising resource for bioethanol: A practical approach for continuous dilute-acid hydrolysis and fermentation. Bioresource Technol. 108: 83-88.

Sebaaly C, Karaki N, Chahine N, Evidente A, Yassine A, Habib J, Kanaan H (2012) Polysaccharides of the red algae 'Pterocladia' growing on the Lebanese coast: Isolation, structural features with antioxidant and anticoagulant activities. J. Appl. Pharm. Sci. 2: 1-10.

Seguel C, Soto E, Rojas J (2015) Gracilaria chilensis: Bioethanol production and by-product characterization. J. Coast. Zone Manag. 18: 1-3.

Somma D, Lobkowicz H, Deason J (2009) Growing America's fuel: an analysis of corn and cellulosic ethanol feasibility in the United States. Clean Technol. Environ. Policy 12: 373-380.

Teixeira M C, Raposo L R, Mira N P, Lourenco A B, Sa-Correia I (2009) Genome-wide identification of Saccharomyces cerevisiae genes required for maximal tolerance to ethanol. Appl. Environ. Microbiol. 75: 5761-5772.

Thomas K, Ingledew W (1992) Production of 21% (v/v) ethanol by fermentation of very high gravity (VHG) wheat mashes. J. Indust. Microbiol. Biotechnol. 10: 61-68.

Waites M, Morgan N, Rockey J, Higton G (2001) Industrial Microbiology: An Introduction. Blackwell. UK. 304 pp.

Wei N, Quarterman J, Jin Y (2013) Marine macroalgae: an untapped resource for producing fuels and chemicals. Trends Biotechnol. 31: 70-77.

Wi SG, Kim HJ, Mahadevan SA, Yang DJ, Bae HJ (2009) The potential value of the seaweed Ceylon moss (Gelidium amansii) as an alternative bioenergy resource. Bioresource Technol. 100: 6658-6660.

Yoon JJ, Kim YJ, Kim SH, Ryu HJ, Choi JY, Kim GS, Shin MK (2010) Production of polysaccharides and corresponding sugars from red seaweed. Proc. Adv. Mat. Res. 2010: 463-466.

Zinnai A, Venturi F, San martin C, Andrich G (2013) The kinetics of alcoholic fermentation by two yeast strains in high sugar concentration media. J. Bioprocess Biotech. 3: 137.

Received: 08/26/2016. Modified: 09/14/2017. Accepted: 09/22/2017.

Carmen Gloria Seguel. Doctor in Chemical Sciences. University of Concepcion, Chile. Professor, Universidad de Tarapaca, Chile. Address: Departamento de Quimica, Facultad de Ciencias, UTA. Avda. General Velasquez 1775. Arica, Chile. e-mail: cseguel@uta.cl

Emilio Soto. Chemist, UTA, Chile. Researcher, UTA, Chile.

Jose Rojas Martin. Mechanical Engineer, UTA, Chile. Professor Researcher, INACAP, Universidad Tecnologica de Chile.

Caption: Figure 1. Fermentation process A.

Caption: Figure 2. Fermentation process B.

Caption: Figure 3. Fermentation process C.

Caption: Figure 4. Time courses of specific growth rate of Saccharomyces cerevisiae.
TABLE I
KINETIC PARAMETERS VALUE OF Gracilaria
chilensis FERMENTATION PROCESSES
WITH Saccharomyces cerevisiae

                                                     Fermentation
Parameters                                            processes

                                                   A       B       C

Initial sugar concentration (g x [l.sup.-1])     40      30      20
Initial yeast biomass concentration               1.7     1.7     1.7
  (g x [l.sup.-1])
Final yeast biomass concentration                11.87   18.01   18.8
  (g x [l.sup.-1])
Ethanol production (g x [l.sup.-1])               2.3     3.8     8.9
Maximum specific growth rate: [[mu].sub.max]      0.47    0.44    0.29
  ([h.sup.-1])
Substrate saturation constant: Ks                15.19    4.55    1.07
  (g x [l.sup.-1])
Biomass yield (Yx/s)                              0.39    0.63    0.90
Product yield (Yp/s)                              0.08    0.15    0.47

[[mu].sub.max]: maximal specific growth rate ([h.sup./1]), Ks:
substrate concentration (g x [l.sup./1]), Yx/s: yield g S. cerevisiae/
g carbohydrate, Yp/s: yield g ethanol/g carbohydrate of G. chilensis.
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Title Annotation:texto en ingles
Author:Seguel, Carmen Gloria; Soto, Emilio; Martin, Jose Rojas
Publication:Interciencia
Date:Oct 1, 2017
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