{"title":"Screening of biosurfactant-producing bacteria from petroleum-contaminated samples and optimization of fermentation conditions","authors":"龚乃超, Chaonan Li","doi":"10.1515/cppm-2025-0284","DOIUrl":null,"url":null,"abstract":"Abstract In petroleum contamination bioremediation, the difficulties in screening efficient biosurfactant-producing bacteria, their low yields, and unsatisfactory remediation effects have limited practical applications. The study employed the “transparent zone preliminary screening–surface tension/emulsification activity re-screening” strategy to test samples from polluted petroleum environments. This strategy combines the “rapid identification of potential strains” with “precise quantification of activity”, avoiding the problems of missed or incorrect screening in traditional single-screening methods, significantly enhancing the efficiency and accuracy of screening for highly productive strains, and simultaneously conducting product identification, fermentation optimization, and soil pollution remediation experiments. Results show that oilfield soil is the best source of biosurfactant-producing bacteria. Bacillus subtilis screened from this source produces a lipopeptide-type biosurfactant, with a minimum surface tension of 28.5 ± 0.5 mN/m and a maximum emulsification index of 65.6 ± 0.8 %. Under optimized fermentation conditions (carbon source 2.0 %, nitrogen source 1.5 %, initial pH 7.0, 72 h of fermentation), lipopeptide yield increased significantly compared with basic conditions. In practical remediation tests, the combination of “strain + lipopeptide” reached a petroleum degradation rate of 85.5 %, which was much higher than that of the indigenous microbial group or the strain alone. The dehydrogenase activity reached 2.2 mg/g·h, indicating higher microbial metabolic efficiency. In conclusion, the screened B. subtilis and its lipopeptide biosurfactant provide quantifiable and reliable resources and technical solutions for petroleum contamination bioremediation, supporting further process optimization and industrial-scale application.","PeriodicalId":9935,"journal":{"name":"Chemical Product and Process Modeling","volume":"1 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2026-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Product and Process Modeling","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.1515/cppm-2025-0284","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract In petroleum contamination bioremediation, the difficulties in screening efficient biosurfactant-producing bacteria, their low yields, and unsatisfactory remediation effects have limited practical applications. The study employed the “transparent zone preliminary screening–surface tension/emulsification activity re-screening” strategy to test samples from polluted petroleum environments. This strategy combines the “rapid identification of potential strains” with “precise quantification of activity”, avoiding the problems of missed or incorrect screening in traditional single-screening methods, significantly enhancing the efficiency and accuracy of screening for highly productive strains, and simultaneously conducting product identification, fermentation optimization, and soil pollution remediation experiments. Results show that oilfield soil is the best source of biosurfactant-producing bacteria. Bacillus subtilis screened from this source produces a lipopeptide-type biosurfactant, with a minimum surface tension of 28.5 ± 0.5 mN/m and a maximum emulsification index of 65.6 ± 0.8 %. Under optimized fermentation conditions (carbon source 2.0 %, nitrogen source 1.5 %, initial pH 7.0, 72 h of fermentation), lipopeptide yield increased significantly compared with basic conditions. In practical remediation tests, the combination of “strain + lipopeptide” reached a petroleum degradation rate of 85.5 %, which was much higher than that of the indigenous microbial group or the strain alone. The dehydrogenase activity reached 2.2 mg/g·h, indicating higher microbial metabolic efficiency. In conclusion, the screened B. subtilis and its lipopeptide biosurfactant provide quantifiable and reliable resources and technical solutions for petroleum contamination bioremediation, supporting further process optimization and industrial-scale application.
期刊介绍:
Chemical Product and Process Modeling (CPPM) is a quarterly journal that publishes theoretical and applied research on product and process design modeling, simulation and optimization. Thanks to its international editorial board, the journal assembles the best papers from around the world on to cover the gap between product and process. The journal brings together chemical and process engineering researchers, practitioners, and software developers in a new forum for the international modeling and simulation community. Topics: equation oriented and modular simulation optimization technology for process and materials design, new modeling techniques shortcut modeling and design approaches performance of commercial and in-house simulation and optimization tools challenges faced in industrial product and process simulation and optimization computational fluid dynamics environmental process, food and pharmaceutical modeling topics drawn from the substantial areas of overlap between modeling and mathematics applied to chemical products and processes.