Laboratory of Analytical Chemistry, Department of Chemistry, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece; Institute of Chemical Technologies and Analytics, Vienna University of Technology, Getreidemarkt 9/164, 1060, Vienna, Austria.
Institute of Chemical Technologies and Analytics, Vienna University of Technology, Getreidemarkt 9/164, 1060, Vienna, Austria; Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Italy.
Talanta. 2024 Jan 1;266(Pt 2):125027. doi: 10.1016/j.talanta.2023.125027. Epub 2023 Aug 10.
In this work, a solid-phase microextraction (SPME) method combined with two-dimensional gas chromatography coupled to mass spectrometry (GC × GC-MS) was optimized and used to assess the authenticity of pomegranate juice to prevent fraudulent practices. A divinylbenzene/carboxen/polydimethylsiloxane (DVB/CAR/PDMS) fiber was used for the extraction of the volatiles. The critical parameters that affect the extraction process, such as the sample volume, and the extraction time were studied. The optimized protocol involved the addition of 15 mL of juice in 50 mL vial and saturation with 30% w/v NaCl.The extraction was carried out within 45 min under 1000 rpm stirring and was applied in the analysis of real juice samples to assess authenticity and detect low levels of pomegranate juice adulteration with grape and apple juice down to 1%. Commercially available pomegranate juice samples were acquired (n = 6) and adulterated with 1% of apple juice (n = 6), 1% of grape juice (n = 6), and a mixture of 1% apple juice and 1% grape juice (n = 6). Authentic pomegranate juice samples and adulterated mixtures were analyzed by SPME-GC × GC-MS. The analysis resulted in the identification of 123 volatile compounds that were further processed with chemometric tools. Principal component analysis (PCA) was employed to visualize the clustering of the samples, and a two-way orthogonal partial least squares discriminant analysis (O2PLS-DA) chemometric model was developed and successfully classified the samples to authentic pomegranate juice or adulterated with an explained total variance of 87.4%. The O2PLS-DA prediction model revealed characteristic volatile markers that could be used to detect pomegranate juice fraud.
在这项工作中,优化了固相微萃取(SPME)方法并结合二维气相色谱-质谱联用(GC×GC-MS),用于评估石榴汁的真实性,以防止欺诈行为。采用二乙烯基苯/羧基/聚二甲基硅氧烷(DVB/CAR/PDMS)纤维萃取挥发性物质。研究了影响萃取过程的关键参数,如样品体积和萃取时间。优化后的方案涉及在 50 mL 小瓶中加入 15 mL 果汁,并加入 30% w/v NaCl 使其饱和。萃取在 1000 rpm 搅拌下进行 45 min,并应用于实际果汁样品的分析,以评估真实性并检测低水平的石榴汁与葡萄汁和苹果汁掺假,最低可达 1%。采集了市售石榴汁样品(n=6),并分别用 1%的苹果汁(n=6)、1%的葡萄汁(n=6)和 1%的苹果汁和 1%的葡萄汁混合物(n=6)进行掺假。通过 SPME-GC×GC-MS 分析鉴定了 123 种挥发性化合物,并进一步采用化学计量工具进行处理。采用主成分分析(PCA)对样品的聚类进行可视化,建立了双向正交偏最小二乘判别分析(O2PLS-DA)化学计量模型,并成功将样品分为纯石榴汁或掺假混合物,解释总方差为 87.4%。O2PLS-DA 预测模型揭示了可用于检测石榴汁欺诈的特征挥发性标志物。