Department of Chemistry "Giacomo Ciamician", University of Bologna, 40126 Bologna, Italy.
byFlow srl, 40129 Bologna, Italy.
Molecules. 2022 Aug 27;27(17):5507. doi: 10.3390/molecules27175507.
Tomato sauce is a world famous food product. Despite standards regulating the production of tomato derivatives, the market suffers frpm fraud such as product adulteration, origin mislabelling and counterfeiting. Methods suitable to discriminate the geographical origin of food samples and identify counterfeits are required. Chemometric approaches offer valuable information: data on tomato sauce is usually obtained through chromatography (HPLC and GC) coupled to mass spectrometry, which requires chemical pretreatment and the use of organic solvents. In this paper, a faster, cheaper, and greener analytical procedure has been developed for the analysis of volatile organic compounds (VOCs) and the colloidal fraction via multivariate statistical analysis. Tomato sauce VOCs were analysed by GC coupled to flame ionisation (GC-FID) and to ion mobility spectrometry (GC-IMS). Instead of using HPLC, the colloidal fraction was analysed by asymmetric flow field-fractionation (AF4), which was applied to this kind of sample for the first time. The GC and AF4 data showed promising perspectives in food-quality control: the AF4 method yielded comparable or better results than GC-IMS and offered complementary information. The ability to work in saline conditions with easy pretreatment and no chemical waste is a significant advantage compared to environmentally heavy techniques. The method presented here should therefore be taken into consideration when designing chemometric approaches which encompass a large number of samples.
番茄酱是一种世界闻名的食品。尽管有标准规范了番茄制品的生产,但市场仍然存在产品掺假、原产地标签错误和伪造等欺诈行为。需要能够区分食品样品产地和识别假冒伪劣产品的方法。化学计量学方法提供了有价值的信息:番茄酱的数据通常通过与质谱联用的色谱法(HPLC 和 GC)获得,这需要化学预处理和有机溶剂的使用。在本文中,通过多元统计分析,开发了一种更快、更便宜、更环保的分析挥发性有机化合物(VOCs)和胶体部分的分析方法。通过气相色谱法(GC-FID)和离子迁移谱法(GC-IMS)分析番茄酱的 VOCs。而不是使用 HPLC,胶体部分通过不对称流场分级(AF4)进行分析,这是首次将该方法应用于此类样品。GC 和 AF4 数据在食品质量控制方面显示出了有前景的前景:AF4 方法与 GC-IMS 相比具有可比性或更好的结果,并提供了互补信息。与环境重的技术相比,能够在含盐条件下工作,预处理简单,无化学废物,这是一个显著的优势。因此,在设计涵盖大量样品的化学计量学方法时,应考虑本文提出的方法。