Department of Analytical Chemistry, Faculty of Chemistry, Regional Campus of International Excellence "Campus Mare-Nostrum", University of Murcia, Murcia, Spain; Department of Analytical Chemistry. Institute of Fine Chemistry and Nanochemistry, University of Córdoba, Campus de Rabanales, Marie Curie Annex Building, E-14071 Córdoba Spain.
Department of Analytical Chemistry. Institute of Fine Chemistry and Nanochemistry, University of Córdoba, Campus de Rabanales, Marie Curie Annex Building, E-14071 Córdoba Spain.
Talanta. 2019 May 15;197:175-180. doi: 10.1016/j.talanta.2019.01.031. Epub 2019 Jan 8.
Olive oil is a liquid fat obtained from olives (the fruit of Olea europea). It is one of the most important ingredients of the Mediterranean diet, due to its health benefits. Depending on its quality, olive oil can be classified as extra virgin (EVOO), virgin (VOO) and lampante (LOO). Currently, an official method defines the quality parameters of the different categories of olive oil using different analytical techniques and a sensory analysis through a Panel Test. However, the evaluation of olive oil quality by tasting panels has some drawbacks, such as the subjectivity of the analysis and the lack of panels accredited outside Spain. For this reason, fast, simple and reliable analytical methods, which can differentiate the categories of olive oil are needed. In this work, the potential of a method using capillary electrophoresis (CE) with ultraviolet (UV) detection as an additional method to the ones already included in the official method has been investigated. The separations were performed using a 45 mM sodium tetraborate buffer (pH 9), and the analytes were measured at 200 nm. For chemometric model construction, the whole electrophoretic profile was processed. It required a correction of migration time shift, which was solved using two internal standards (naphthol and benzoic acid), and a correction of the drift baseline. The results obtained after applying the method to 130 olive oil samples are very promising, achieving success rates above 91%. Finally, the use of all information found in the electropherogram was compared with that based on the selection and integration of only some peaks.
橄榄油是从橄榄(油橄榄属的果实)中提取的液体脂肪。由于其对健康的益处,它是地中海饮食中最重要的成分之一。根据其质量,橄榄油可分为特级初榨橄榄油(EVOO)、初榨橄榄油(VOO)和精炼橄榄油(LOO)。目前,一种官方方法使用不同的分析技术和通过小组测试进行感官分析来定义不同橄榄油类别的质量参数。然而,品尝小组评估橄榄油质量存在一些缺点,例如分析的主观性和缺乏西班牙以外认可的小组。因此,需要快速、简单和可靠的分析方法来区分橄榄油的类别。在这项工作中,已经研究了使用带有紫外(UV)检测的毛细管电泳(CE)作为官方方法中已包含的方法的补充方法的潜力。使用 45mM 四硼酸钠缓冲液(pH 9)进行分离,并在 200nm 处测量分析物。对于化学计量模型构建,处理整个电泳图谱。需要校正迁移时间漂移,这可以通过使用两个内标(萘酚和苯甲酸)来解决,并校正漂移基线。将该方法应用于 130 个橄榄油样品后获得的结果非常有希望,成功率超过 91%。最后,将整个电泳图谱中的所有信息与仅选择和整合某些峰的信息进行了比较。