Kokalj Meta, Prikeržnik Marcel, Kreft Samo
Faculty of Pharmacy, University of Ljubljana, SI-1000, Ljubljana, Slovenia.
J Sci Food Agric. 2017 May;97(7):2238-2244. doi: 10.1002/jsfa.8034. Epub 2016 Oct 13.
Rocket is a popular salad vegetable used all over the world and it has many health benefits. However, like with all plant material, there exists a danger of contamination with toxic substances. In the case of rocket, contamination with groundsel has occurred. Groundsel is a common weed in rocket crops, and it contains very toxic pyrrolizidine alkaloids. In our study infrared spectroscopy was used to distinguish groundsel samples from rocket leaves. Infrared spectroscopy is a very simple analytical technique; however, some specific conditions are more easily implemented in industrial environment than others. Some of these conditions and parameters of infrared spectroscopy were explored in detail.
We tested for the influence of different parameters of attenuated total reflectance and transmission infrared method. Our results show that a 100 % correct classification can be obtained under conditions most suitable for industry: using fresh samples and parameters that enable fast spectral measurement.
Infrared spectroscopy is a fast and easy-to-use method that has been shown to be able to differentiate between rocket and groundsel leaves. Therefore, it could be further studied for implementation in the safety control of rocket salads. © 2016 Society of Chemical Industry.
芝麻菜是一种在全球广泛使用的受欢迎的沙拉蔬菜,有诸多健康益处。然而,与所有植物材料一样,存在被有毒物质污染的风险。就芝麻菜而言,已出现被千里光污染的情况。千里光是芝麻菜作物中的常见杂草,含有剧毒的吡咯里西啶生物碱。在我们的研究中,采用红外光谱法区分千里光样本与芝麻菜叶片。红外光谱法是一种非常简单的分析技术;然而,某些特定条件在工业环境中比其他条件更易于实施。对红外光谱法的其中一些条件和参数进行了详细探究。
我们测试了衰减全反射和透射红外法不同参数的影响。我们的结果表明,在最适合工业的条件下:使用新鲜样本和能实现快速光谱测量的参数,可获得100%的正确分类。
红外光谱法是一种快速且易于使用的方法,已证明能够区分芝麻菜和千里光叶片。因此,可对其在芝麻菜沙拉安全控制中的应用作进一步研究。© 2016化学工业协会。