
Biotechnology for Biofuels and Bioproducts, Год журнала: 2025, Номер 18(1)
Опубликована: Май 14, 2025
Abstract Background Biohydrogen production from agricultural waste is a promising strategy to address climate change and energy challenges. This study aimed optimize the process parameters for biohydrogen watermelon peels (WMP) by Clostridium butyricum NE133 using statistical optimization techniques. Initial screening of eight significant variables influencing hydrogen including, initial pH, incubation temperature, WMP concentration, inoculum volume, yeast extract, tryptone, sodium acetate, ammonium acetate concentration was conducted Plackett–Burman (PB) design. Results The results showed that four pH ( P < 0.001), = 0.023), 0.048) had statistically effects on production. model curvature 0.040) indicated it significant. Box–Behnken (BB) design under response surface methodology (RSM) employed selected maximize optimal conditions maximizing C. were: 8.98, 44.75%, 4.49 gL −1 , 1.15 at with predicted H max 4703.23 mLL . determination coefficient R 2 0.9902 lack fit F-value 1.86. Conclusions confirmation experiment revealed only 0.59% difference between experimental production, indicating optimum were actual least error. Improvement about 103.25% in achieved after process. Graphical
Язык: Английский