Kalogiouri Natasa P, Aalizadeh Reza, Thomaidis Nikolaos S
Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 15771, Athens, Greece.
Anal Bioanal Chem. 2017 Sep;409(23):5413-5426. doi: 10.1007/s00216-017-0395-6. Epub 2017 May 25.
The discrimination of organic and conventional production has been a critical topic of public discussion and constitutes a scientific issue. It remains a challenge to establish a correlation between the agronomical practices and their effects on the composition of olive oils, especially the phenolic composition, since it defines their organoleptic and nutritional value. Thus, a liquid chromatography-electrospray ionization-quadrupole time of flight tandem mass spectrometric method was developed, using target and suspect screening workflows, coupled with advanced chemometrics for the identification of phenolic compounds and the discrimination between organic and conventional extra virgin olive oils. The method was optimized by one-factor design and response surface methodology to derive the optimal conditions of extraction (methanol/water (80:20, v/v), pure methanol, or acetonitrile) and to select the most appropriate internal standard (caffeic acid or syringaldehyde). The results revealed that extraction with methanol/water (80:20, v/v) was the optimum solvent system and syringaldehyde 1.30 mg L was the appropriate internal standard. The proposed method demonstrated low limits of detection in the range of 0.002 (luteolin) to 0.028 (tyrosol) mg kg. Then, it was successfully applied in 52 olive oils of Kolovi variety. In total, 13 target and 24 suspect phenolic compounds were identified. Target compounds were quantified with commercially available standards. A novel semi-quantitation strategy, based on chemical similarity, was introduced for the semi-quantification of the identified suspects. Finally, ant colony optimization-random forest model selected luteolin as the only marker responsible for the discrimination, during a 2-year study. Graphical abstract Investigation of the organic and conventional production type of olive oil by LC-QTOF-MS.
有机生产和传统生产的区分一直是公众讨论的关键话题,也是一个科学问题。在农艺实践与其对橄榄油成分(尤其是酚类成分)的影响之间建立关联仍然是一项挑战,因为酚类成分决定了橄榄油的感官和营养价值。因此,开发了一种液相色谱 - 电喷雾电离 - 四极杆飞行时间串联质谱法,采用目标物和可疑物筛查工作流程,并结合先进的化学计量学来鉴定酚类化合物以及区分有机特级初榨橄榄油和传统特级初榨橄榄油。通过单因素设计和响应面方法对该方法进行了优化,以得出最佳提取条件(甲醇/水(80:20,v/v)、纯甲醇或乙腈)并选择最合适的内标(咖啡酸或丁香醛)。结果表明,用甲醇/水(80:20,v/v)提取是最佳溶剂体系,丁香醛1.30 mg/L是合适的内标。所提出的方法检测限低,在0.002(木犀草素)至0.028(酪醇)mg/kg范围内。然后,该方法成功应用于52种Kolovi品种的橄榄油。总共鉴定出13种目标酚类化合物和24种可疑酚类化合物。目标化合物用市售标准品进行定量。引入了一种基于化学相似性的新型半定量策略,用于对已鉴定的可疑物进行半定量。最后,在一项为期2年的研究中,蚁群优化 - 随机森林模型选择木犀草素作为唯一负责区分的标志物。图形摘要:通过LC - QTOF - MS对橄榄油的有机和传统生产类型进行研究