S
Siddharth Vats
Researcher at Motilal Nehru National Institute of Technology Allahabad
Publications - 10
Citations - 177
Siddharth Vats is an academic researcher from Motilal Nehru National Institute of Technology Allahabad. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 5, co-authored 5 publications receiving 151 citations.
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Journal Article
Optimization of enzymatic saccharification of microwave pretreated sugarcane tops through response surface methodology for biofuel.
TL;DR: The optimization of biomass loading enzyme loading, surfactant concentration and incubation time, using response surface methodology (RSM) and Box Behnken design for enzymatic saccharification of sugarcane tops (SCT) for maximum recovery of fermentable sugars using crude cellulases, resulted in 90.24% saccharization efficiency.
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Synthesis of well–dispersed silver nanorods of different aspect ratios and their antimicrobial properties against gram positive and negative bacterial strains
Animesh K. Ojha,Animesh K. Ojha,Stefan Forster,Sumeet Kumar,Siddharth Vats,Sangeeta Negi,Ingo Fischer +6 more
TL;DR: The synthesis of highly dispersed silver nanorods (NRs) of different aspect ratios using a chemical route is described and it is observed that the NRs of intermediate aspect ratio have greater antimicrobial effect against both, B. subtilis and E. coli.
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Use of artificial neural network (ANN) for the development of bioprocess using Pinus roxburghii fallen foliages for the release of polyphenols and reducing sugars.
Siddharth Vats,Sangeeta Negi +1 more
TL;DR: Optimization by ANN showed good yield, therefore, indicating its suitability for bioprocess modeling and control for release of reducing sugars and polyphenols from pine foliage.
Development of a microbial consortium for production of blend of enzymes for hydrolysis of agricultural wastes into sugars
TL;DR: In this paper, a blend of enzymes capable of degrading lignocellulosic biomass from a locally isolated microbial consortium through solid state fermentation is presented. But, it was only 3 days of incubation at 37°C at 120 rpm for 48 h.
Journal Article
Mathematical model-based optimization of physico-enzymatic hydrolysis of Pinus roxburghii needles for the production of reducing sugars.
TL;DR: The experimental results obtained were in good agreement to predicted values, making it a reliable optimized model for five factors in combination to predict reducing sugar yield for ethanol production for bio-fuel industry.