Sustainable and optimized bioethanol production using mix microbial consortium of Saccharomyces cerevisiae and Candida cantarelli

Kamal, Shagufta; Rehman, Saima; Rehman, Kanwal; Ghaffar, Abdul; Bibi, Ismat; Ahmed, Tanvir; Maqsood, Sumbel; Nazish, Nadia; Iqbal, Hafiz M.N.

doi:10.1016/j.fuel.2021.122763

Cited by 16 publications

(3 citation statements)

References 38 publications

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“…3 M. caribbica isolate MJTm3 propagation at different concentrations of molasses propagation medium (MPM) containing 8 °Bx (phase 1), 10 °Bx (phase 2), and 12 °Bx (phase 3) at 24-h propagation time AD, AE, AF, BC, BE, BF, CF, DE, and DF), and quadratic (A 2 ) were found significant model terms (p < 0.05), whereas all quadratic variables were showed insignificant (p > 0.05), except for temperature (A 2 ) (p < 0.0001) (Table 2). This is in agreement with Kamal et al (2021) who reported that linear pH, interactive inoculum size, and pH were significant model terms for efficient bioethanol production from sugarcane molasses.…”

Section: Model Validation and Optimization Of Fermentation Parameterssupporting

confidence: 93%

Optimization of bioethanol production from sugarcane molasses by the response surface methodology using Meyerozyma caribbica isolate MJTm3

et al. 2023

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Purpose Yeast strains tolerant to a wide range of stress conditions are needed for the production of bioethanol from substrates rich in sugar. In our earlier research findings, Meyerozyma caribbica isolate MJTm3 (OM329077) demonstrated remarkable stress tolerance and fermentative activity. The present study aimed to optimize six fermentation parameters to generate conducive fermentation conditions for ethanol production by M. caribbica isolate MJTm3. Method The response surface method (RSM) based on central composite design (CCD) was employed to optimize process conditions for higher bioethanol yield. The optimization process was carried out based on six independent parameters, namely temperature (25–35 °C), pH (5.5–6.5), inoculum size (10–20% (v/v)), molasses concentration (25–35 (w/v)), mixing rate (110–150 rpm), and incubation period (48–72-h). Analysis of ethanol concentration was done by HPLC equipped with a UV detector. Result The optimal conditions of the parameters resulting in a maximum predicted ethanol yield were as follows: pH 5.5, an inoculum size of 20%, a molasses concentration of 25 °Bx, a temperature of 30 °C, an incubation period of 72-h, and a mixing rate of 160 revolutions per minute (rpm). Using the above optimum conditions, the model predicted a bioethanol yield of 79%, 92% of the theoretical yield, a bioethanol concentration of 49 g L−1, and a productivity of 0.68 g L−1 h−1. A batch fermentation experiment was carried out to validate the predicted values and resulted in a bioethanol yield of 86%, 95% of theoretical yield, a bioethanol concentration of 56 g L−1, and productivity of 0.78 g L−1 h−1. On the other hand, the surface plot analysis revealed that the synergistic effect of the molasses concentration and the mixing rate were vital to achieving the highest bioethanol yield. These values suggested that the RSM with CCD was an effective method in producing the highest possible output of bioethanol from molasses in actual operation. Conclusion The study confirmed the potential of using M. caribbica isolate MJTm3 for bioethanol production from sugarcane molasses under the abovementioned optimal fermentation conditions.

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Section: Model Validation and Optimization Of Fermentation Parameterssupporting

confidence: 93%

Optimization of bioethanol production from sugarcane molasses by the response surface methodology using Meyerozyma caribbica isolate MJTm3

et al. 2023

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“…The independent factors, such as linear (B, D, E, F), interactive (AB, AC, AD, AE, AF, BC, BE, BF, CF, DE, and DF), and quadratic (A 2 ) were found signi cant model terms (p < 0.05), whereas all quadratic variables were showed insigni cant (p > 0.05), except for temperature (A 2 ) (p < 0.0001) (Table 2). This is in agreement with Kamal et al (2021) who reported that linear pH, interactive inoculum size, and pH were signi cant model terms for e cient bioethanol production from sugarcane molasses. The Pareto chart was plotted to highlight the most signi cant independent variables and their main and interaction effects on bioethanol production (Fig.…”

Section: Model Validation and Optimization Of Fermentation Parameterssupporting

confidence: 92%

Optimization of bioethanol production from sugarcane molasses by the response surface methodology using Meyerozyma caribbica isolate MJTm3

Hawaz

Tafesse

Tesfaye

et al. 2022

Preprint

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Purpose Yeast strains tolerant to a wide range of stress conditions are needed for the production of bioethanol from substrates rich in sugar. In our earlier research findings, Meyerozyma caribbica isolate MJTm3 (OM329077) demonstrated remarkable stress tolerance and fermentative activity. The present study aimed to optimize six fermentation parameters to generate conducive fermentation conditions for ethanol production by M. caribbica isolate MJTm3. Method The response surface method (RSM) based on central composite design (CCD) was employed to optimize process conditions for higher bioethanol yield. The optimization process was carried out based on six independent parameters, namely temperature (25-30oC), pH (5.5–6.5), inoculum size (10–20% (v/v)), molasses concentration (25–35 (w/v)), mixing rate (110–150 rpm), and incubation period (48–72 h). Analysis of ethanol concentration was done by HPLC equipped with a UV detector. Result The optimal conditions of the parameters resulting in a maximum predicted ethanol yield were as follows: pH 5.5, an inoculum size of 20%, a molasses concentration of 25 oBrix, a temperature of 30oC, an incubation period of 72 h, and a mixing rate of 160 revolutions per minute (rpm). Using the above optimum conditions, the model predicted a bioethanol yield of 79%, 92% of the theoretical yield, a bioethanol concentration of 49 g L− 1, and a productivity of 0.68 g L− 1h− 1. A batch fermentation experiment was carried out to validate the predicted values and resulted in a bioethanol yield of 86%, 95% of theoretical yield, a bioethanol concentration of 56 g L− 1, and productivity of 0.78 g L− 1h− 1. On the other hand, the surface plot analysis revealed that the synergistic effect of the molasses concentration and the mixing rate were vital to achieving the highest bioethanol yield. In conclusion, these values suggested that the RSM with CCD was an effective method in producing the highest possible output of bioethanol from molasses in actual operation. Conclusion The study confirmed the potential of using M. caribbica isolate MJTm3 for bioethanol production from sugarcane molasses under the above-mentioned optimal conditions.

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“…According to Parapouli et al (2020), this yeast is widely used in various biotechnological applications, some of which date back several millennia. In the food sector, it is used for the production of breads and fermented beverages and has been widely used in the production of biofuels, such as second-generation bioethanol (Sjöde et al, 2007;Akter et al, 2020;Kamal et al, 2022).…”

Section: Study Of the Main Abstract In The Area Of Single Cell Proteinmentioning

confidence: 99%

Innovations and developments in single cell protein: Bibliometric review and patents analysis

et al. 2023

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BackgroundGlobal demand for food products derived from alternative proteins and produced through sustainable technological routes is increasing. Evaluation of research progress, main trends and developments in the field are valuable to identify evolutionary nuances.MethodsIn this study, a bibliometric analysis and search of patents on alternative proteins from fermentation processes was carried out using the Web of Science and Derwent World Patents Index™ databases, using the keywords and Boolean operators “fermentation” AND “single cell protein” OR “single-cell protein.” The dataset was processed and graphics generated using the bibliometric software VOSviewer and OriginPro 8.1.ResultsThe analysis performed recovered a total of 360 articles, of which 271 were research articles, 49 literature review articles and 40 publications distributed in different categories, such as reprint, proceedings paper, meeting abstract among others. In addition, 397 patents related to the field were identified, with China being the country with the largest number of publications and patents deposits. While this topic is largely interdisciplinary, the majority of work is in the area of Biotechnology Applied Microbiology, which boasts the largest number of publications. The area with the most patent filings is the food sector, with particular emphasis on the fields of biochemistry, beverages, microbiology, enzymology and genetic engineering. Among these patents, 110 are active, with industries or companies being the largest depositors. Keyword analysis revealed that the area of study involving single cell protein has included investigation into types of microorganisms, fermentation, and substrates (showing a strong trend in the use of agro-industrial by-products) as well as optimization of production processes.ConclusionThis bibliometric analysis provided important information, challenges, and trends on this relevant subject.

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Sustainable and optimized bioethanol production using mix microbial consortium of Saccharomyces cerevisiae and Candida cantarelli

Cited by 16 publications

References 38 publications

Optimization of bioethanol production from sugarcane molasses by the response surface methodology using Meyerozyma caribbica isolate MJTm3

Optimization of bioethanol production from sugarcane molasses by the response surface methodology using Meyerozyma caribbica isolate MJTm3

Optimization of bioethanol production from sugarcane molasses by the response surface methodology using Meyerozyma caribbica isolate MJTm3

Innovations and developments in single cell protein: Bibliometric review and patents analysis

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