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<p>Polyhydroxyalkanoates (PHAs) are promising biopolymers for replacing conventional petroleum-based synthetic plastics, but their commercialization is limited due to higher production costs, particularly in downstream processing. This study involves the development of a novel and automated electrochemical cell lysis (ECL) method for the extraction of PHAs from <i>Bacillus</i> sp. PhNs9. Primarily, an ECL device was constructed using graphite electrodes connected to an in-situ fabricated variable voltage power supply. Further, the optimization of different process parameters using the Artificial Neural Network-Genetic Algorithm (ANN-GA) approach resulted in 99.99% cell lysis efficiency in the growth medium containing sugarcane molasses as the sole C and N source. The developed process was automated based on the real-time turbidity of the reaction mixture. Further, the Fourier Transform Infrared (FTIR) spectroscopic analysis before and after ECL revealed the major effect of reactive oxygen species (ROS) and OH<sup>−</sup> ions in the bacterial cell lysis, while scanning electron microscopy (SEM) revealed the morphological changes in the bacterial cell. The characterization of PHA extracted through the process revealed it to be polyhydroxybutyrate-co-valerate (PHBV) with no significant changes in the biochemical and thermal properties. Moreover, the process cost was studied to be reduced by 83.26% compared to the conventional chemical process, confirming the successful development of an environmentally friendly and cost-effective process for PHA extraction.</p> Graphical Abstract <p></p>

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In-situ development, artificial neural network-genetic algorithm-based optimization, and automation of the novel electrochemical cell lysis process for polyhydroxyalkanoates extraction

  • 期刊论文

  • 发表日期：

    2026年3月1日

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  • Pritam Bajirao Patil,
  • Kanwal Takod,
  • Debapriya Sarkar,
  • Kasturi Poddar,
  • Angana Sarkar

摘要

Polyhydroxyalkanoates (PHAs) are promising biopolymers for replacing conventional petroleum-based synthetic plastics, but their commercialization is limited due to higher production costs, particularly in downstream processing. This study involves the development of a novel and automated electrochemical cell lysis (ECL) method for the extraction of PHAs from Bacillus sp. PhNs9. Primarily, an ECL device was constructed using graphite electrodes connected to an in-situ fabricated variable voltage power supply. Further, the optimization of different process parameters using the Artificial Neural Network-Genetic Algorithm (ANN-GA) approach resulted in 99.99% cell lysis efficiency in the growth medium containing sugarcane molasses as the sole C and N source. The developed process was automated based on the real-time turbidity of the reaction mixture. Further, the Fourier Transform Infrared (FTIR) spectroscopic analysis before and after ECL revealed the major effect of reactive oxygen species (ROS) and OH− ions in the bacterial cell lysis, while scanning electron microscopy (SEM) revealed the morphological changes in the bacterial cell. The characterization of PHA extracted through the process revealed it to be polyhydroxybutyrate-co-valerate (PHBV) with no significant changes in the biochemical and thermal properties. Moreover, the process cost was studied to be reduced by 83.26% compared to the conventional chemical process, confirming the successful development of an environmentally friendly and cost-effective process for PHA extraction.

Graphical Abstract