高价值农产品的掺假是全球消费者和行业的关键问题。地理来源的区分可以通过降低风险和检测掺假来验证食品的真实性。在农产品之间,豆类是全世界种植的非常重要的作物,提供富含铁和维生素的食物,尤其是第三世界国家的人。这项研究的目的是构建巨豆的局部特征同位素指纹图谱,\“FasoliaGigantes-ElefantesPGI\”,在Kastoria和Presses地区种植的受保护地理标志产品,西马其顿,希腊,从两个方面对豆类进行歧视的最终目标。总的来说,在每个栽培期(2020-2021年和2021-2022年),从Prespes地区的不同田地收集了160个样品,并从Kastoria收集了120个样品。光元素(C,N,和S)同位素比使用同位素比质谱(IRMS)测量,并使用化学计量学技术分析获得的结果,包括单因素方差分析和二项逻辑回归。单向方差分析的平均值为δ15NAIR=1.875,δ13CV-PDB=-25.483,Kastoria的δ34SV-CDT=4.779,δ15NAIR=1.654,δ13CV-PDB=-25.928,对于Presses,δ34SV-CDT=-0.174,并显示所研究区域的C和S的稳定同位素比在统计学上不同,而随后的二项逻辑回归分析正确分类了78%以上的样品。
Adulteration of high-value agricultural products is a critical issue worldwide for consumers and industries. Discrimination of the geographical origin can verify food
authenticity by reducing risk and detecting adulteration. Between agricultural products, beans are a very important crop cultivated worldwide that provides food rich in iron and vitamins, especially for people in third-world countries. The aim of this study is the construction of a map of the locally characteristic isotopic fingerprint of giant beans, \"Fasolia Gigantes-Elefantes PGI\", a Protected Geographical Indication product cultivated in the region of Kastoria and Prespes, Western Macedonia, Greece, with the ultimate goal of the discrimination of beans from the two areas. In total, 160 samples were collected from different fields in the Prespes region and 120 samples from Kastoria during each cultivation period (2020-2021 and 2021-2022). The light element (C, N, and S) isotope ratios were measured using Isotope Ratio Mass Spectrometry (IRMS), and the results obtained were analyzed using chemometric techniques, including a one-way ANOVA and Binomial logistic regression. The mean values from the one-way ANOVA were δ15NAIR = 1.875‱, δ13CV-PDB = -25.483‱, and δ34SV-CDT = 4.779‱ for Kastoria and δ15NAIR = 1.654‱, δ13CV-PDB = -25.928‱, and δ34SV-CDT = -0.174‱ for Prespes, and showed that stable isotope ratios of C and S were statistically different for the areas studied while the Binomial logistic regression analysis that followed correctly classified more than 78% of the samples.