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利用 Gordonia sp. HS126-4N 进行二苯并噻吩生物脱硫过程中生化变化的 SERS 特征化研究。

SERS characterization of biochemical changes associated with biodesulfurization of dibenzothiophene using Gordonia sp. HS126-4N.

机构信息

Industrial Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College, Pakistan Institute of Engineering and Applied Sciences (NIBGE-C, PIEAS), Faisalabad 38000, Pakistan.

Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2024 Nov 5;320:124534. doi: 10.1016/j.saa.2024.124534. Epub 2024 May 25.

DOI:10.1016/j.saa.2024.124534
PMID:38878718
Abstract

In this study, Gordonia sp. HS126-4N was employed for dibenzothiophene (DBT) biodesulfurization, tracked over 9 days using SERS. During the initial lag phase, no significant spectral changes were observed, but after 48 h, elevated metabolic activity was evident. At 72 h, maximal bacterial population correlated with peak spectrum variance, followed by stable spectral patterns. Despite 2-hydroxybiphenyl (2-HBP) induced enzyme suppression, DBT biodesulfurization persisted. PCA and PLS-DA analysis of the SERS spectra revealed distinctive features linked to both bacteria and DBT, showcasing successful desulfurization and bacterial growth stimulation. PLS-DA achieved a specificity of 95.5 %, sensitivity of 94.3 %, and AUC of 74 %, indicating excellent classification of bacteria exposed to DBT. SERS effectively tracked DBT biodesulfurization and bacterial metabolic changes, offering insights into biodesulfurization mechanisms and bacterial development phases. This study highlights SERS' utility in biodesulfurization research, including its use in promising advancements in the field.

摘要

在这项研究中,使用 SERS 跟踪了 Gordonia sp. HS126-4N 进行二苯并噻吩(DBT)生物脱硫的过程,历时 9 天。在初始迟滞期,没有观察到明显的光谱变化,但在 48 小时后,代谢活性明显升高。在 72 小时时,最大细菌种群与峰值光谱方差相关,随后是稳定的光谱模式。尽管 2-羟基联苯(2-HBP)诱导酶抑制,但 DBT 生物脱硫仍在继续。SERS 光谱的 PCA 和 PLS-DA 分析揭示了与细菌和 DBT 相关的独特特征,展示了成功的脱硫和细菌生长刺激。PLS-DA 实现了 95.5%的特异性、94.3%的灵敏度和 74%的 AUC,表明对暴露于 DBT 的细菌进行了出色的分类。SERS 有效地跟踪了 DBT 的生物脱硫和细菌代谢变化,为生物脱硫机制和细菌发育阶段提供了深入了解。这项研究强调了 SERS 在生物脱硫研究中的实用性,包括在该领域的有前途的进展中的应用。

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