Maximizing biohydrogen production from watermelon peels using Clostridium butyricum NE133: a statistical optimization approach with Plackett-Burman and Box-Behnken designs.

ABSTRACT:

Background

Biohydrogen production from agricultural waste is a promising strategy to address climate change and energy challenges. This study aimed to optimize the process parameters for biohydrogen production from watermelon peels (WMP) by Clostridium butyricum NE133 using statistical optimization techniques. Initial screening of eight significant variables influencing hydrogen production including, initial pH, incubation temperature, WMP concentration, inoculum volume, yeast extract, tryptone, sodium acetate, and ammonium acetate concentration was conducted by a Plackett-Burman (PB) design.

Results

The results showed that four variables including, initial pH (P < 0.001), WMP concentration (P < 0.001), sodium acetate (P = 0.023), and ammonium acetate (P = 0.048) had statist

SUBMITTER: Elerakey N 

PROVIDER: S-EPMC12079854 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature