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Research progress on the molecular biology techniques in microbiological detection
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Wei FU, Zhan-Guo NING, Xian-Bao SHAO, Jian-Bang CAO, Xue-Xiu GAO, Hong-Li LIU, You-Ming CHEN, Ning LI*
Journal of Food Safety & Quality | 2026, 17(18) : 203 - 210
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Journal of Food Safety & Quality | 2026, 17(18): 203-210
• Food Analysis and Detection •
Research progress on the molecular biology techniques in microbiological detection
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Wei FU, Zhan-Guo NING, Xian-Bao SHAO, Jian-Bang CAO, Xue-Xiu GAO, Hong-Li LIU, You-Ming CHEN, Ning LI*
Affiliations
  • Shandong Starlight So True Biological Technology Co., Ltd., Laoling 253600, China
doi: 10.19812/j.cnki.jfsq11-5956/ts.20260518003
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As food safety regulations tighten, food producers require faster, more efficient and more accurate detection methods. Conventional culture techniques are time-consuming and cannot detect non-culturable or slow-growing microorganisms, limiting their utility for real-time monitoring. The breakthroughs in molecular biology techniques have provided various solutions. However, the current technical system generally faces a core contradiction where it is difficult to balance sensitivity, speed and convenience. That is, high-sensitivity techniques rely on complex equipment, while rapid detection techniques, to some extent, reduce specificity. This study focused on mainstream molecular detection technologies in recent years. It systematically compared and comprehensively analyzed these technologies in terms of detection principles, performance parameters, cost compositions and applicable scenarios,and clarified the comprehensive performance positioning and application scope of each technology. On this basis, this study further explored the pathways through which multi-technology combination strategies broke through the limitations of single technologies. It also investigated the potential of cutting-edge directions, including amplification-free direct detection, artificial intelligence-assisted analysis and full-process integrated systems, to narrow the trade-off range among the three key attributes. Finally, this study forecasted the future development trends of microbial detection based on current technological progress. The findings aims to provide a systematic reference for the selection of microbial detection methods and technological upgrading in food ingredients and other broader fields.

food safety  /  microbial detection  /  molecular biology  /  application scenarios
付为, 宁占国, 绍先豹, 曹建邦, 高学秀, 刘虹丽, 陈又铭, 李宁. 分子生物学技术在微生物检测中的研究进展. 食品安全质量检测学报, 2026 , 17 (18) : 203 -210 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20260518003
Wei FU, Zhan-Guo NING, Xian-Bao SHAO, Jian-Bang CAO, Xue-Xiu GAO, Hong-Li LIU, You-Ming CHEN, Ning LI. Research progress on the molecular biology techniques in microbiological detection[J]. Journal of Food Safety & Quality, 2026 , 17 (18) : 203 -210 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20260518003
Year 2026 volume 17 Issue 18
12
3
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doi: 10.19812/j.cnki.jfsq11-5956/ts.20260518003
  • Receive Date:2025-05-18
  • Online Date:2026-11-05
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  • Received:2025-05-18
Affiliations
    Shandong Starlight So True Biological Technology Co., Ltd., Laoling 253600, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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