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Updated: Jan 21, 2026

Author Spotlight: Employing Green-Chemistry Principles for Safe and Sustainable Synthesis of Biodiesels
Published on: April 19, 2024
Dataset on optimized biodiesel production from seeds of Vitis vinifera using ANN, RSM and ANFIS
V Hariram1, A Bose1, S Seralathan1
1School of Mechanical Sciences, Hindustan Institute of Technology and Science, Chennai, Tamilnadu, India.
Abstract:
This dataset disclose the investigational data on the extraction of bio-oil from seeds of Vitis vinifera through combination of mechanical pressing and soxhlet solvent extractor. Biodiesel is produced through single stage base catalysed transesterification process due to lower free fatty acid content in the Vitis vinifera bio-oil. Independent variable process parameters like molar ratio, reaction time and catalyst concentration are optimized using Artificial Neural Network, Response Surface Methodology and Adaptive Neuro-Fuzzy Interference System to predict the maximum biodiesel yield and the results are compared with the experimental data. Response Surface Methodology predicted a maximum Vitis vinifera biodiesel yield of 97.62% at methanol to oil molar ratio 0.2758 v/v, catalyst concentration 1.045 gm of NaOH and reaction duration of 1.11 hrs which is also confirmed with experimental results.
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