| 引用本文: | 张国林,景荣先.微生物快速鉴定、分型技术在食药源性微生物检测中的应用[J].中国现代应用药学,2014,31(11):1412-1417. |
| ZHANG Guolin,JING Rongxian.Application of Microorganism Identification and Genotyping Techniques in Microbial Contamination Detection in Food and Drug Quality Control[J].Chin J Mod Appl Pharm(中国现代应用药学),2014,31(11):1412-1417. |
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| 摘要: |
| 食品、药品微生物检测是保证食品、药品质量、维护人类健康的重要环节。传统的微生物检测、鉴定方法存在周期长、主观性强等缺点，并且对一些生长缓慢或者新型微生物难以进行有效检测。现代微生物快速鉴定分型技术的发展为食品、药品微生物检测提供了新的思路和方法。现代分子生物学技术和常规生化鉴定在微生物准确鉴定的属种水平上有所差异，要将不同鉴定、分型技术相结合应用。本文综述食药微生物鉴定、分型技术的传统方法和现代分子生物学方法进展及其在食品、药品微生物检测领域中的应用，为发展新型的微生物检测、分型方法提供借鉴和参考。 |
| 关键词: 微生物鉴定、分型 PCR 变性梯度凝胶电泳 基因芯片 生物传感器 标准检测方法 |
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| 基金项目:苏州市科技发展计划(应用基础研究-医疗卫生)项目(SYS201425) |
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| Application of Microorganism Identification and Genotyping Techniques in Microbial Contamination Detection in Food and Drug Quality Control |
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ZHANG Guolin1, JING Rongxian2
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1.Suzhou Institute for Food and Drug Control, Suzhou 215104, China;2.Department of Pharmacy, Suzhou Municipal Hospital, Suzhou 215002, China
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| Abstract: |
| The microorganism detection, identification and genotyping are the most important aspects for the quality control in food and drug fields. However, the traditional microbial detection methods need relative long period and the result may be influenced greatly by subjective judgment of the researchers to some extent. And traditional methods have disadvantages in the discovering of new microorganisms or microorganisms that grow slowly. The development of modern identification and genotyping techniques provide new directions for the detection of microorganisms in food and drug field. In this review, the application of traditional and modern microorganism identification and genotyping techniques in the field of drug and food quality control is discussed. At the same time, it is aimed to propose new ideas in order to provide reference and technical guarantees for the development of new method for microorganism detection besides the aforementioned areas. |
| Key words: microbial contamination detection PCR DGGE gene chip biosensor standard detection method |
