Kalogiouri Natasa P, Samanidou Victoria F
Laboratory of Analytical Chemistry, Department of Chemistry, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
Foods. 2021 Sep 10;10(9):2145. doi: 10.3390/foods10092145.
A high-pressure liquid chromatographic method coupled to diode array detector (HPLC-DAD) was developed for the determination of phenolic compounds that could be used as markers in authentication studies of walnuts belonging to the Chandler variety, originating from Bulgaria, Greece, and France. An ultrasound-assisted extraction (UAE) protocol applied in the extraction of phenolic compounds was optimized. The method was validated and the relative standard deviations (RSD%) of the within-day, and between-day assays was lower than 6.3 and 11.1, respectively, showing adequate precision, and good accuracy ranging from 86.4 (sinapic acid) to 98.4% (caffeic acid) for within-day assay, and from 90.1 (gallocatechin gallate) to 100.6% (gallic acid) for between-day assay. Eighteen phenolic compounds were determined belonging to the classes of phenolic acids and flavonoids. The quantification results were further processed with chemometrics, and a robust partial least square-discriminant analysis (PLS-DA) model was developed for the classification of the samples according to their geographical origin, proposing markers that could be used for the control of walnuts authenticity and the detection of fraudulent incidents.
建立了一种与二极管阵列检测器联用的高压液相色谱法(HPLC-DAD),用于测定可作为源自保加利亚、希腊和法国的钱德勒品种核桃鉴定研究中标志物的酚类化合物。对应用于酚类化合物提取的超声辅助提取(UAE)方案进行了优化。该方法经过验证,日内和日间测定的相对标准偏差(RSD%)分别低于6.3%和11.1%,显示出足够的精密度,日内测定的准确度良好,范围为86.4%(芥子酸)至98.4%(咖啡酸),日间测定的准确度范围为90.1%(没食子儿茶素没食子酸酯)至100.6%(没食子酸)。测定了属于酚酸和黄酮类的18种酚类化合物。利用化学计量学对定量结果进行进一步处理,并建立了一个稳健的偏最小二乘判别分析(PLS-DA)模型,用于根据样品的地理来源对其进行分类,提出可用于控制核桃真实性和检测欺诈事件的标志物。