INPT, INP-Purpan, Université de Toulouse, 31076 Toulouse, France.
Toxins (Basel). 2018 Jan 10;10(1):38. doi: 10.3390/toxins10010038.
Each year, mycotoxins cause economic losses of several billion US dollars worldwide. Consequently, methods must be developed, for producers and cereal manufacturers, to detect these toxins and to comply with regulations. Chromatographic reference methods are time consuming and costly. Thus, alternative methods such as infrared spectroscopy are being increasingly developed to provide simple, rapid, and nondestructive methods to detect mycotoxins. This article reviews research conducted over the last eight years into the use of near-infrared and mid-infrared spectroscopy to monitor mycotoxins in corn, wheat, and barley. More specifically, we focus on the species and on the main fusariotoxins of deoxynivalenol, zearalenone, and fumonisin B1 and B2. Quantification models are insufficiently precise to satisfy the legal requirements. Sorting models with cutoff levels are the most promising applications.
每年,真菌毒素都会给全世界造成数十亿美元的经济损失。因此,生产者和谷物制造商必须开发出检测这些毒素并遵守法规的方法。色谱参考方法既耗时又昂贵。因此,正在越来越多地开发替代方法,如红外光谱法,以提供简单、快速和非破坏性的方法来检测真菌毒素。本文综述了过去八年中利用近红外和中红外光谱法监测玉米、小麦和大麦中真菌毒素的研究。更具体地说,我们关注的是 种和脱氧雪腐镰刀菌烯醇、玉米赤霉烯酮和伏马菌素 B1 和 B2 的主要镰刀菌毒素。定量模型不够精确,无法满足法律要求。带有截止水平的分类模型是最有前途的应用。