Wang Kaiqiang, Pu Hongbin, Sun Da-Wen
School of Food Science and Engineering, South China Univ. of Technology, Guangzhou 510641, China.
Acad. of Contemporary Food Engineering, South China Univ. of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, China.
Compr Rev Food Sci Food Saf. 2018 Mar;17(2):256-273. doi: 10.1111/1541-4337.12323. Epub 2018 Jan 5.
Microorganism contamination and foodborne disease outbreaks are of public concern worldwide. As such, the food industry requires rapid and nondestructive methods to detect microorganisms and to control food quality. However, conventional methods such as culture and colony counting, polymerase chain reaction, and immunoassay approaches are laborious, time-consuming and require trained personnel. Therefore, the emergence of rapid analytical methods is essential. This review introduces 6 spectroscopic and spectral imaging techniques that apply infrared spectroscopy, surface-enhanced Raman spectroscopy, terahertz time-domain spectroscopy, laser-induced breakdown spectroscopy, hyperspectral imaging, and multispectral imaging for microorganism detection. Recent advances of these technologies from 2011 to 2017 are outlined. Challenges in the application of these technologies for microorganism detection in food matrices are addressed. These emerging spectroscopic and spectral imaging techniques have the potential to provide rapid and nondestructive detection of microorganisms. They should also provide complementary information to enhance the performance of conventional methods to prevent disease outbreaks and food safety problems.
微生物污染和食源性疾病爆发是全球公众关注的问题。因此，食品行业需要快速且无损的方法来检测微生物并控制食品质量。然而，诸如培养和菌落计数、聚合酶链反应以及免疫测定方法等传统方法既费力又耗时，还需要专业人员操作。所以，快速分析方法的出现至关重要。本综述介绍了6种光谱和光谱成像技术，这些技术应用红外光谱、表面增强拉曼光谱、太赫兹时域光谱、激光诱导击穿光谱、高光谱成像和多光谱成像来检测微生物。概述了这些技术在2011年至2017年间的最新进展。探讨了这些技术在食品基质中微生物检测应用方面的挑战。这些新兴的光谱和光谱成像技术有潜力实现对微生物的快速无损检测。它们还应提供补充信息，以提高传统方法的性能，预防疾病爆发和食品安全问题。
