关键词: ANNs Amorphous structure Antibacterial activity Antioxidant activity Biopolymer characterization Biorefining Environmental remediation Fusarium oxysporum Optimization Pullulan bioproduction S-SSF Thermal stability faba bean biomass

Mesh : Glucans / chemistry biosynthesis pharmacology Neural Networks, Computer Fermentation Nanocomposites / chemistry Titanium / chemistry pharmacology Anti-Bacterial Agents / pharmacology chemistry Aureobasidium / metabolism Silver / chemistry pharmacology Antioxidants / pharmacology chemistry Fusarium

来  源:   DOI:10.1016/j.ijbiomac.2024.132109

Abstract:
This study presents a novel and efficient approach for pullulan production using artificial neural networks (ANNs) to optimize semi-solid-state fermentation (S-SSF) on faba bean biomass (FBB). This method achieved a record-breaking pullulan yield of 36.81 mg/g within 10.82 days, significantly exceeding previous results. Furthermore, the study goes beyond yield optimization by characterizing the purified pullulan, revealing its unique properties including thermal stability, amorphous structure, and antioxidant activity. Energy-dispersive X-ray spectroscopy and scanning electron microscopy confirmed its chemical composition and distinct morphology. This research introduces a groundbreaking combination of ANNs and comprehensive characterization, paving the way for sustainable and cost-effective pullulan production on FBB under S-SSF conditions. Additionally, the study demonstrates the successful integration of pullulan with Ag@TiO2 nanoparticles during synthesis using Fusarium oxysporum. This novel approach significantly enhances the stability and efficacy of the nanoparticles by modifying their surface properties, leading to remarkably improved antibacterial activity against various human pathogens. These findings showcase the low-cost production medium, and extensive potential of pullulan not only for its intrinsic properties but also for its ability to significantly improve the performance of nanomaterials. This breakthrough opens doors to diverse applications in various fields.
摘要:
本研究提出了一种使用人工神经网络(ANN)优化蚕豆生物量(FBB)的半固态发酵(S-SSF)的新型高效普鲁兰多糖生产方法。该方法在10.82天内达到破纪录的支链淀粉产量为36.81mg/g,大大超过以前的结果。此外,这项研究通过表征纯化的普鲁兰超越了产量优化,揭示其独特的性质,包括热稳定性,非晶结构,和抗氧化活性。能量色散X射线光谱和扫描电子显微镜证实了其化学组成和独特的形态。这项研究引入了一种开创性的神经网络组合和全面的表征,为在S-SSF条件下在FBB上生产可持续且具有成本效益的支链淀粉铺平了道路。此外,该研究表明,在使用尖孢镰刀菌合成过程中,普鲁兰多糖与Ag@TiO2纳米颗粒成功整合。这种新颖的方法通过改变纳米粒子的表面性质,显著提高了纳米粒子的稳定性和功效。导致对各种人类病原体的抗菌活性显着提高。这些发现展示了低成本的生产介质,以及普鲁兰的广泛潜力不仅在于其固有特性,而且还在于其显着提高纳米材料性能的能力。这一突破为各个领域的不同应用打开了大门。
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