The current system in the processing of seafood leads to accumulation of many waste products, such as shells, tails, heads and bones. This seafood waste can be exploited for the extraction of chitin, with numerous applications in different fields. Seafood waste treatment can produce some valuable products. For the valorization of chitin, its degradation is an important step that can be achieved using the chitinase enzyme. Interestingly, chitin can also be used as a significant substrate for chitinase production. In this study, chitinase activity was enhanced by optimizing the fermentation medium, and chitin was used as the substrate. The polynomial model obtained by central composite design was employed in a particle swarm optimization algorithm and artificial neural network to optimize the final optimal concentration factors. The optimization results were compared for the better activity of chitinase. From the authors' best knowledge, the optimization of fermentation medium for chitinase production by particle swarm optimization was performed for the first time.

中文翻译：

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海鲜废弃物中的几丁质：提高几丁质酶产量的粒子群优化和神经网络研究

目前的海产品加工系统导致许多废物的积累，例如贝壳、尾巴、头和骨头。这种海鲜废料可用于提取甲壳素，在不同领域有大量应用。海鲜垃圾处理可以生产一些有价值的产品。对于几丁质的增值，其降解是使用几丁质酶可以实现的重要步骤。有趣的是，几丁质也可以用作生产几丁质酶的重要底物。本研究通过优化发酵培养基提高几丁质酶的活性，以几丁质为底物。将中心复合设计得到的多项式模型应用于粒子群优化算法和人工神经网络中，对最终的最优浓度因子进行优化。比较优化结果以获得更好的几丁质酶活性。据作者所知，首次通过粒子群优化对几丁质酶生产的发酵培养基进行了优化。