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广州地区生活饮用水处理系统中微生物多样性及影响因素分析
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刘振杰(1975-),男,硕士研究生,研究反向:检测新技术研究开发,E-mail:lqh0828@126.com 通讯作者:古其会(1986-),女,博士,副研究员,研究方向:饮用水安全,E-mail:guqh888@163.com;共同通讯作者:郭伟鹏(1974-),男,本科,教授级高级工程师,研究方向:微生物安全检测新技术开发,E-mail:guowp@yeah.net

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国家重点研发计划项目(2022YFC3204702);广东省基础与应用基础研究基金自然科学基金面上项目(2024A1515010082)


Microbial Risk Analysis in Drinking Water Treatment Systems for the Guangzhou Region
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    摘要:

    为明确广州地区饮用水厂的微生物群落结构特征、潜在致病微生物分布及关键影响因素,该文采用高通量测序技术与可培养手段相结合对广州地区饮用水厂微生物群落和风险进行了分析。高通量结果显示:饮用水厂A和B微生物菌群差异较大,其中水厂A的优势菌属为hgcI_clade(0~30.54%)和Phreatobacter(0~46.36%);水厂B的优势菌属为hgcI_clade(0~46.33%)和Stenotrophomonas(0~46.68%)。对潜在致病菌的进一步分析显示,水厂A消毒后水中的Phreatobacter(46.36%)和鞘氨醇单胞菌属(Sphingomonas,32.98%)占有很高的比例;水厂B消毒后水中的高丰度潜在致病菌为寡养单胞菌属(Stenotrophomonas,46.70%)和红球菌属(Rhodococcus,41.40%),这些菌的存在会带来食品安全风险。可培养法结果显示:饮用水厂B的微生物多样性和潜在致病微生物比水厂A更多,且在滤料中分离出条件致病菌蜡样芽胞杆菌和铜绿假单胞菌,提示后期应加强对滤料的消毒清洗或更换。典型关联分析(Canonical Correlation Analysis,CCA)分析表明:温度、pH、可溶解氧、化学需氧量和总碳是影响饮用水处理系统微生物群落结构的主要因素。综上所述,饮用水厂A和B均存在不同程度的致病微生物污染,后期需要进一步提升对饮用水处理系统中关键污染点的管控。本文研究结果为饮用水厂微生物高效控制和处理工艺优化提供了理论基础,对保障饮用水微生物安全具有重要实践意义。

    Abstract:

    To clarify the microbial community structure characteristics, distribution of potential pathogenic microorganisms, and key influencing factors in drinking water plants in Guangzhou, this study analyzed the microbial community and risk in drinking water plants in Guangzhou by combining high-throughput sequencing technology with culturable methods. Significant differences in microbial communities between Water Plants A and B were revealed using high-throughput sequencing results. The dominant genera in Water Plant A were hgcI_clade (0~30.54%) and Phreatobacter (0~46.36%), whereas the dominant genera in Water Plant B were hgcI_clade (0~46.33%) and Stenotrophomonas (0~46.68%). Potential pathogenic bacteria were further analyzed, and Phreatobacter (46.36%) and Sphingomonas (32.98%) proportions were found to be high in Water Plant A after disinfection. In contrast, Stenotrophomonas (46.70%) and Rhodococcus (41.40%) were the dominant pathogenic bacteria in Water Plant B. Results from culture methods indicated higher microbial diversity and more pathogenic microorganisms in Water Plant B than in Water Plant A. Pathogenic bacteria such as Bacillus cereus and Pseudomonas aeruginosa were isolated from the filter media, suggesting that disinfection, cleaning, or replacement of the filter media should be strengthened in the future. Canonical correlation analysis indicated that temperature, pH, dissolved oxygen, chemical oxygen demand, and total carbon were the main factors affecting the microbial community structure of the drinking water treatment system. In conclusion, both drinking water plants A and B have varying degrees of pathogenic microbial contamination. The key contamination points in the drinking water treatment system should be further controlled in the future. The results of this study provide a theoretical basis for the efficient control of microorganisms in drinking water plants and optimization of treatment processes, and have significant practical significance for ensuring the microbial safety of drinking water.

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刘振杰,毛磊红,陈玲,陈维,容顺,黎思乐,林秀华,郭伟鹏,古其会.广州地区生活饮用水处理系统中微生物多样性及影响因素分析[J].现代食品科技,2026,42(6):367-376.

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  • 收稿日期:2025-05-08
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  • 在线发布日期: 2026-07-08
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