A hybrid machine learning (ML) aided experimental approach was proposed in this study to evaluate... more A hybrid machine learning (ML) aided experimental approach was proposed in this study to evaluate the growth kinetics of Candida antarctica for lipase production. Different ML models were trained and optimized to predict the growth curves at various substrate concentrations. Results on comparison demonstrate the superior performance of the Gradient boosting regression (GBR) model in growth curves prediction. GBR-based growth kinetics was found to be matching well with the results of the conventional experimental approach while significantly reducing the experimental effort, time, and resources by ∼50%. Further, the activity and enzyme kinetics of lipase produced in this study was investigated on hydrolysis of p-nitrophenyl butyrate resulting in a maximum lipase activity of 24.07 U at 44 h. The robustness and significance of developed kinetic models were ensured through detailed statistical analysis. The application of the proposed hybrid approach can be extended to any other microbial process.
This is a PDF file of an article that has undergone enhancements after acceptance, such as the ad... more This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Abstract The variations of volatile phenolic metabolites in the artificially ripened banana fruit... more Abstract The variations of volatile phenolic metabolites in the artificially ripened banana fruits (Musa Sapientum) were studied. The fruits were artificially ripened using calcium carbide, ethephon (Ethrel) solution, and ethylene gas. The phenolics were extracted from the fruit pulp and analysed using gas chromatography-mass spectrometry. The obtained phenolic compounds were quantified with reference to the concentration of 1,3-dihydroxybenzene. The results showed significant upregulation of sinapic acid, butylated hydroxytoluene, α-hydroxycinnamic acid, isoferulic acid, and downregulation of 2,4,6-trimethoxytoluene and elemicin in the fruits ripened with calcium carbide. Ripening with ethylene gas showed upregulation of vanillic acid and the ripening by dipping the fruits in ethephon solution showed up-regulation of 2,4,6-trimethoxytoluene, p-coumaric acid and downregulation of isoferulic acid. The data was subjected to analysis of variance (ANOVA) and principal component analysis (PCA). The ANOVA analysis statistically certified the significance of variation among different ripening methods and the quantified phenolic metabolites. The results obtained from the PCA studies indicate that the artificially ripened banana fruits with ethylene and ethephon exhibited distinct patterns as compared to that of the naturally ripened ones.
Lipases are the industrially important biocatalysts, which are envisioned to have tremendous appl... more Lipases are the industrially important biocatalysts, which are envisioned to have tremendous applications in the manufacture of a wide range of products. Their unique properties such as better stability, selectivity and substrate specificity position them as the most expansively used industrial enzymes. The research on production and applications of lipases is ever growing and there exists a need to have a latest review on the research findings of lipases. The present review aims at giving the latest and broadest overall picture of research and development on lipases by including the current studies and progressions not only in the diverse industrial application fields of lipases, but also with regard to its structure, classification and sources. Also, a special emphasis has been made on the aspects such as process optimization, modelling and design that are very critical for further scale-up and industrial implementation. The detailed tabulations provided in each section, which are...
A hybrid machine learning (ML) aided experimental approach was proposed in this study to evaluate... more A hybrid machine learning (ML) aided experimental approach was proposed in this study to evaluate the growth kinetics of Candida antarctica for lipase production. Different ML models were trained and optimized to predict the growth curves at various substrate concentrations. Results on comparison demonstrate the superior performance of the Gradient boosting regression (GBR) model in growth curves prediction. GBR-based growth kinetics was found to be matching well with the results of the conventional experimental approach while significantly reducing the experimental effort, time, and resources by ∼50%. Further, the activity and enzyme kinetics of lipase produced in this study was investigated on hydrolysis of p-nitrophenyl butyrate resulting in a maximum lipase activity of 24.07 U at 44 h. The robustness and significance of developed kinetic models were ensured through detailed statistical analysis. The application of the proposed hybrid approach can be extended to any other microbial process.
This is a PDF file of an article that has undergone enhancements after acceptance, such as the ad... more This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Abstract The variations of volatile phenolic metabolites in the artificially ripened banana fruit... more Abstract The variations of volatile phenolic metabolites in the artificially ripened banana fruits (Musa Sapientum) were studied. The fruits were artificially ripened using calcium carbide, ethephon (Ethrel) solution, and ethylene gas. The phenolics were extracted from the fruit pulp and analysed using gas chromatography-mass spectrometry. The obtained phenolic compounds were quantified with reference to the concentration of 1,3-dihydroxybenzene. The results showed significant upregulation of sinapic acid, butylated hydroxytoluene, α-hydroxycinnamic acid, isoferulic acid, and downregulation of 2,4,6-trimethoxytoluene and elemicin in the fruits ripened with calcium carbide. Ripening with ethylene gas showed upregulation of vanillic acid and the ripening by dipping the fruits in ethephon solution showed up-regulation of 2,4,6-trimethoxytoluene, p-coumaric acid and downregulation of isoferulic acid. The data was subjected to analysis of variance (ANOVA) and principal component analysis (PCA). The ANOVA analysis statistically certified the significance of variation among different ripening methods and the quantified phenolic metabolites. The results obtained from the PCA studies indicate that the artificially ripened banana fruits with ethylene and ethephon exhibited distinct patterns as compared to that of the naturally ripened ones.
Lipases are the industrially important biocatalysts, which are envisioned to have tremendous appl... more Lipases are the industrially important biocatalysts, which are envisioned to have tremendous applications in the manufacture of a wide range of products. Their unique properties such as better stability, selectivity and substrate specificity position them as the most expansively used industrial enzymes. The research on production and applications of lipases is ever growing and there exists a need to have a latest review on the research findings of lipases. The present review aims at giving the latest and broadest overall picture of research and development on lipases by including the current studies and progressions not only in the diverse industrial application fields of lipases, but also with regard to its structure, classification and sources. Also, a special emphasis has been made on the aspects such as process optimization, modelling and design that are very critical for further scale-up and industrial implementation. The detailed tabulations provided in each section, which are...
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