De Girolamo Annalisa, Cervellieri Salvatore, Mancini Erminia, Pascale Michelangelo, Logrieco Antonio Francesco, Lippolis Vincenzo
Institute of Sciences of Food Production (ISPA), CNR-National Research Council of Italy, Via G. Amendola 122/O, 70126 Bari, Italy.
Foods. 2020 Oct 27;9(11):1551. doi: 10.3390/foods9111551.
Italy is the country with the largest durum wheat pasta production and consumption. The mandatory labelling for pasta indicating the country of origin of wheat has made consumers more aware about the consumed pasta products and is influencing their choice towards 100% Italian wheat pasta. This aspect highlights the need to promote the use of domestic wheat as well as to develop rapid methodologies for the authentication of pasta. A rapid, inexpensive, and easy-to-use method based on infrared spectroscopy was developed and validated for authenticating pasta made with 100% Italian durum wheat. The study was conducted on pasta marketed in Italy and made with durum wheat cultivated in Italy ( = 176 samples) and on pasta made with mixtures of wheat cultivated in Italy and/or abroad ( = 185 samples). Pasta samples were analyzed by Fourier transform-near infrared (FT-NIR) spectroscopy coupled with supervised classification models. The good performance results of the validation set (sensitivity of 95%, specificity and accuracy of 94%) obtained using principal component-linear discriminant analysis (PC-LDA) clearly demonstrated the high prediction capability of this method and its suitability for authenticating 100% Italian durum wheat pasta. This output is of great interest for both producers of Italian pasta pointing toward authentication purposes of their products and consumer associations aimed to preserve and promote the typicity of Italian products.
意大利是硬质小麦面食产量和消费量最大的国家。面食上强制标注小麦的原产国,这让消费者更加了解所消费的面食产品,并影响他们对100%意大利小麦面食的选择。这一方面凸显了推广使用国产小麦以及开发面食真伪鉴定快速方法的必要性。一种基于红外光谱的快速、廉价且易于使用的方法被开发出来并经过验证,用于鉴定用100%意大利硬质小麦制作的面食。该研究针对在意大利销售的、用意大利种植的硬质小麦制作的面食( = 176个样本)以及用意大利和/或国外种植的小麦混合制作的面食( = 185个样本)展开。面食样本通过傅里叶变换近红外(FT-NIR)光谱结合监督分类模型进行分析。使用主成分 - 线性判别分析(PC-LDA)获得的验证集良好性能结果(灵敏度为95%,特异性和准确率为94%)清楚地证明了该方法的高预测能力及其适用于鉴定100%意大利硬质小麦面食。这一结果对于旨在鉴定其产品真伪的意大利面食生产商以及旨在保护和推广意大利产品典型性的消费者协会都具有极大的意义。