McMullin David, Mizaikoff Boris, Krska Rudolf
Center for Analytical Chemistry, Department for Agrobiotechnology, University of Natural Resources and Applied Life Sciences Vienna, Konrad-Lorenz-Straße 20, 3430, Tulln, Austria.
Anal Bioanal Chem. 2015 Jan;407(3):653-60. doi: 10.1007/s00216-014-8145-5. Epub 2014 Sep 26.
Infrared spectroscopy is a rapid, nondestructive analytical technique that can be applied to the authentication and characterization of food samples in high throughput. In particular, near infrared spectroscopy is commonly utilized in the food quality control industry to monitor the physical attributes of numerous cereal grains for protein, carbohydrate, and lipid content. IR-based methods require little sample preparation, labor, or technical competence if multivariate data mining techniques are implemented; however, they do require extensive calibration. Economically important crops are infected by fungi that can severely reduce crop yields and quality and, in addition, produce mycotoxins. Owing to the health risks associated with mycotoxins in the food chain, regulatory limits have been set by both national and international institutions for specific mycotoxins and mycotoxin classes. This article discusses the progress and potential of IR-based methods as an alternative to existing chemical methods for the determination of fungal contamination in crops, as well as emerging spectroscopic methods.
红外光谱法是一种快速、无损的分析技术，可用于高通量食品样品的鉴定和表征。特别是，近红外光谱法在食品质量控制行业中常用于监测多种谷物的蛋白质、碳水化合物和脂质含量等物理属性。如果采用多元数据挖掘技术，基于红外的方法所需的样品制备、人力或技术能力很少；然而，它们确实需要大量校准。具有经济重要性的作物会受到真菌感染，这些真菌会严重降低作物产量和质量，此外还会产生霉菌毒素。由于食物链中霉菌毒素存在健康风险，国家和国际机构都针对特定霉菌毒素和霉菌毒素类别设定了监管限值。本文讨论了基于红外的方法作为现有化学方法的替代方法用于测定作物中真菌污染的进展和潜力，以及新兴的光谱方法。
