Tarapoulouzi Maria, Kokkinofta Rebecca, Theocharis Charis R
Department of Chemistry University of Cyprus Nicosia Cyprus.
State General Laboratory Nicosia Cyprus.
Food Sci Nutr. 2020 May 12;8(7):3262-3273. doi: 10.1002/fsn3.1603. eCollection 2020 Jul.
Food adulteration is an issue of major concern, as numerous foodstuffs and beverages do not follow their labeling. Our research interest is in the field of authenticity of dairy products and particularly cheese. Adulteration of dairy products is a well-known phenomenon, and there are numerous published studies specifically on the authenticity of cheese. In fact, substitution of a portion of fat and/or proteins, adulteration with milk of other species' origin, and mislabeling of ingredients are some of the main issues that the science of dairy products' authenticity is regularly facing. Discrimination of dairy products can be determined through several chemical or microbiological methods as presented in the literature. In addition, chemometric analysis is an important tool for interpretation of a huge load of measurements. The aim of this study is to discriminate between various milk samples, which is the primary ingredient of dairy products. Milk samples with different trademarks were analyzed. That data was combined with Halloumi cheese samples for chemometric discrimination of species' origin. The innovative point of this study is the fact that it is the first time that a research study related to dairy products includes Halloumi cheese which is a traditional Cypriot cheese, not well-studied until now. The first step of the methodology was the freeze-drying via lyophilization of the samples. Fourier transformed infrared spectroscopy (FTIR) was chosen for their chemical characterization. Moreover, interpretation of the measurements was carried out by chemometric analysis using SIMCA software. For this study, FTIR data combined with chemometrics have given a very good discrimination of the samples according to their species' origin. Chemometric methods such as PCA and OPLS-DA have been used with great success. In the future, this model will be studied regarding geographical origin of the samples.
食品掺假是一个备受关注的问题,因为许多食品和饮料并未遵循其标签说明。我们的研究兴趣在于乳制品尤其是奶酪的真实性领域。乳制品掺假是一个广为人知的现象,并且有许多专门关于奶酪真实性的已发表研究。事实上,部分脂肪和/或蛋白质的替代、用其他物种来源的牛奶掺假以及成分的错误标注是乳制品真实性科学经常面临的一些主要问题。如文献中所述,乳制品的鉴别可以通过几种化学或微生物方法来确定。此外,化学计量学分析是解释大量测量数据的重要工具。本研究的目的是区分各种牛奶样本,而牛奶是乳制品的主要成分。对具有不同商标的牛奶样本进行了分析。该数据与哈洛米奶酪样本相结合,用于对物种来源进行化学计量学鉴别。本研究的创新点在于,这是首次有一项与乳制品相关的研究纳入了哈洛米奶酪,哈洛米奶酪是一种传统的塞浦路斯奶酪,在此之前尚未得到充分研究。该方法的第一步是通过冻干法对样本进行冷冻干燥。选择傅里叶变换红外光谱(FTIR)对其进行化学表征。此外,使用SIMCA软件通过化学计量学分析对测量结果进行解释。对于本研究,FTIR数据与化学计量学相结合,根据样本的物种来源对其进行了很好的鉴别。主成分分析(PCA)和正交投影判别分析(OPLS-DA)等化学计量学方法已取得了巨大成功。未来,将针对样本的地理来源对该模型进行研究。