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Development of a non-linear growth model for predicting temporal evolution of Scenedesmus obliquus with varying irradiance

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Abstract

In the present study, the effect of irradiance on growth performance of Scenedesmus obliquus was investigated, and various non-linear growth models were evaluated to predict its temporal evolution. This microalga was cultured in a LED-illuminated flat-panel gas-lift photobioreactor operated in batch mode at varying irradiance ranging from 50 to 200 µmol/m2/s keeping all the other physico-chemical parameters constant. When growth data in terms of optical density were fitted in sigmoidal growth models, three non-linear models, namely, Richards model, Gompertz model, and logistic model, were found to be the best fit. Comparing these models based on statistical information, the logistic model could more appropriately and precisely describe algal growth under varying light intensity. Finally, the parameters of the logistic model were determined using regression analysis and were incorporated in the logistic equation to investigate the kinetic characteristics of S. obliquus. The optimum light intensity (Iopt) for growth was found to be 150 µmol/m2/s, at which a maximum specific growth rate (µopt) of 0.35/day was obtained. The model developed was validated experimentally and could successfully explain the photo-inhibition phenomenon occurring at light intensity above 150 µmol/m2/s.

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References

  1. Foley PM, Beach ES, Zimmerman JB (2008) Algae as a source of renewable chemicals: opportunities and challenges. Green Chem 13:1399

    Article  Google Scholar 

  2. Trivedi J, Aila M, Bangwal DP, Kaul S, Garg MO (2015) Algae based biorefinery—how to make sense? Renew Sustain Energy Rev 47:295–307

    Article  CAS  Google Scholar 

  3. Mata TM, Martins AA, Caetano NS (2010) Microalgae for biodiesel production and other applications: a review. Renew Sustain Energy Rev 14:217–232

    Article  CAS  Google Scholar 

  4. Singh J, Trivedi J (2016) Microalgae: global diversity and applications. In: Sharma M, Bansal D, Chauhan A (eds) Microalgae-windows of opportunities. SBW Publishers, Delhi, pp 82–96

    Google Scholar 

  5. Wijffels RH, Barbosa MJ (2010) An outlook on microalgal biofuels. Science 329:796–799

    Article  CAS  Google Scholar 

  6. Bailey JE, Ollis DF (1986) Biochemical engineering fundamentals. McGraw-Hill, New York

    Google Scholar 

  7. Pruvost J, Vooren GV, Gouic LB, Couzinet-Mossion A, Legrand J (2011) Systematic investigation of biomass and lipid productivity by microalgae in photobioreactors for biodiesel application. Bioresour Technol 102:150–158

    Article  CAS  Google Scholar 

  8. Aiba S (1982) Growth kinetics of photosynthetic microorganisms. Microbial reactions. Adv Biochem Eng 23:85–156

    CAS  Google Scholar 

  9. Lee HY, Erickson LE, Yang SS (1987) Kinetics and bioenergetics of light-limited photoautotrophic growth of Spirulina platensis. Biotechnol Bioeng 29(7):832–843

    Article  CAS  Google Scholar 

  10. Steele J (1962) Environmental control of photosynthesis in the sea. Limnol Oceanogr 7(2):137–150

    Article  Google Scholar 

  11. Talbot P, Thébault JM, Dauta A, De la Noüe J (1991) A comparative study and mathematical modeling of temperature, light and growth of three microalgae potentially useful for wastewater treatment. Water Res 25(4):465–472

    Article  CAS  Google Scholar 

  12. Bernard O, Rémond B (2012) Validation of a simple model accounting for light and temperature effect on microalgal growth. Bioresour Technol 123:520–527

    Article  CAS  Google Scholar 

  13. Timothy Paine CE, Marthews TR, Vogt DR, Purves D, Rees M, Hector A, Turnbull LA (2012) How to fit nonlinear plant growth models and calculate growth rates: an update for ecologists. Methods Ecol Evol 3:245–256

    Article  Google Scholar 

  14. Surendhiran D, Vijay M, Sivaprakash B, Sirajunnisa A (2015) Kinetic modeling of microalgal growth and lipid synthesis for biodiesel production. 3 Biotech 5:663–669

    Article  CAS  Google Scholar 

  15. Yang JS, Rasa E, Tantayotai P, Scow KM, Yuan HL, Hristova KR (2011) Mathematical model of Chlorella minutissima UTEX2341 growth and lipid production under photoheterotrophic fermentation conditions. Bioresour Technol 102:3077–3082

    Article  CAS  Google Scholar 

  16. Nayak BK, Das D (2013) Improvement of carbon dioxide biofixation in a photobioreactor using Anabaena sp. PCC 7120. Process Biochem 48:1126–1132

    Article  CAS  Google Scholar 

  17. Gibson AM, Bratchell N, Roberts TA (1988) Predicting microbial growth: growth responses of salmonellae in a laboratory medium as affected by pH, sodium chloride and storage temperature. Int J Food Microbiol 6:155–178

    Article  CAS  Google Scholar 

  18. Hodaifa G, Sánchez S, Martínez ME, Órpez R (2013) Biomass production of Scenedesmus obliquus from mixtures of urban and olive-oil mill wastewaters used as culture medium. Appl Energy 104:345–352

    Article  CAS  Google Scholar 

  19. Lucas-Salas LM, Castrillo M, Martinez D (2013) Effects of dilution rate and water reuse on biomass and lipid production of Scenedesmus obliquus in a two-stage novel photobioreactor. Bioresour Technol 143:344–352

    Article  CAS  Google Scholar 

  20. Castrillo M, Lucas-Salas LM, Rodriguez-Gil C, Martinez D (2013) High pH-induced flocculation-sedimentation and effect of supernatant reuse on growth rate and lipid productivity of Scenedesmus obliquus and Chlorella vulgaris. Bioresour Technol 128:324–329

    Article  CAS  Google Scholar 

  21. Hodaifa G, Martinez MA, Sánchez S (2008) Use of industrial wastewater from olive-oil extraction for biomass production of Scenedesmus obliquus. Bioresour Technol 99(5):1111–1117

    Article  CAS  Google Scholar 

  22. Whitton R, Mével AL, Pidou M, Ometto F, Villa R, Jefferson B (2016) Influence of microalgal N and P composition on wastewater nutrient remediation. Water Res 91:371–378

    Article  CAS  Google Scholar 

  23. Yoshimura T, Okadab S, Honda M (2013) Culture of the hydrocarbon producing microalga Botryococcus braunii strain showa: optimal CO2, salinity, temperature, and irradiance conditions. Bioresour Technol 133:232–239

    Article  CAS  Google Scholar 

  24. Nedbal L, Trtílek M, Ĉervený J, Komárek O, Pakrasi HB (2008) A Photobioreactor system for precision cultivation of photoautotrophic microorganisms and for high-content analysis of suspension dynamics. Biotechnol Bioeng 100(5):902–910

    Article  CAS  Google Scholar 

  25. Einarsson H, Eriksson SG (1986) Microbial growth models for prediction of shelf life of chilled meat. In: Meat chilling. symp. int. institute of refrigeration commission C2 food science and technology), Bristol, 10–12, pp 397–402

  26. Mansouri M (2016) Predictive modeling of biomass production by Chlorella vulgaris in a draft-tube airlift photobioreactor. Adv Environ Technol 3:119–126

    Google Scholar 

  27. Wahidin S, Idris A, Shaleh SR (2013) The influence of light intensity and photoperiod on the growth and lipid content of microalgae Nannochloropsis sp. Bioresour Technol 129:7–11

    Article  CAS  Google Scholar 

  28. Akaike H (1973) Information theory as an extension of the maximum likelihood principle. In: Petrov BN, Csaki F (eds) Second international symposium on information theory. Akademiai Kiado, Budapest, pp 267–281

    Google Scholar 

  29. Arbib Z, Ruiz J, Dıaz PA, Pérez CG, Perales JA (2014) Capability of different microalgae species for phytoremediation processes: wastewater tertiary treatment, CO2 bio-fixation and low cost biofuels production. Water Res 49:465–474

    Article  CAS  Google Scholar 

  30. Chang HX, Huang Y, Fu Q, Liao Q, Zhu X (2016) Kinetic characteristics and modeling of microalgae Chlorella vulgaris growth and CO2 biofixation considering the coupled effects of light intensity and dissolved inorganic carbon. Bioresour Technol 206:231–238

    Article  CAS  Google Scholar 

  31. Melis A (1999) Photosystem-II damage and repair cycle in chloroplasts: what modulates the rate of photodamage in vivo? Trends Plant Sci 4:130–135

    Article  CAS  Google Scholar 

  32. Scherer S, Slurzl E, Boger P (1984) Photoinhibition of respiratory CO2 release in the green alga Scenedesmus. Physiol plant 60:557–560

    Article  CAS  Google Scholar 

  33. Sforza E, Grisa B, Farias Silvaa CED, Morosinottob T, Bertucco A (2014) Effects of light on cultivation of Scenedesmus obliquus in batch and continuous flat plate photobioreactor. Chem Eng Trans 38:211–216

    Google Scholar 

Download references

Acknowledgements

Authors are grateful to Dr. Anjan Ray, Director CSIR-Indian Institute of Petroleum for providing necessary facilities to complete this work and constant motivation. The research was funded by CSIR under 12th five-year plan project CSC 0116/03.

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Authors and Affiliations

  1. Biofuels Division, CSIR-Indian Institute of Petroleum, Mohkampur, Dehradun, 248005, India

    Jayati Trivedi, Jasvinder Singh, Neeraj Atray, S. S. Ray & Deepti Agrawal

  2. Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India

    Jayati Trivedi, Jasvinder Singh, Neeraj Atray, S. S. Ray & Deepti Agrawal

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  1. Jayati Trivedi
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  2. Jasvinder Singh
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Correspondence to Jayati Trivedi.

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Trivedi, J., Singh, J., Atray, N. et al. Development of a non-linear growth model for predicting temporal evolution of Scenedesmus obliquus with varying irradiance. Bioprocess Biosyst Eng 42, 2047–2054 (2019). https://doi.org/10.1007/s00449-019-02194-7

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  • DOI: https://doi.org/10.1007/s00449-019-02194-7

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