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翁布里亚特级初榨橄榄油的挥发性气味特征及其通过 MOX 化学传感器的区分。

Volatile Olfactory Profiles of Umbrian Extra Virgin Olive Oils and Their Discrimination through MOX Chemical Sensors.

机构信息

Institute of Biosciences and Bioresources, National Research Council, 06128 Perugia, Italy.

Institute of Biosciences and Bioresources, National Research Council, URT-Reggio Emilia, Via J. F. Kennedy 17/I, 42124 Reggio Emilia, Italy.

出版信息

Sensors (Basel). 2022 Sep 21;22(19):7164. doi: 10.3390/s22197164.

Abstract

Extra virgin olive oil (EVOO) is the best vegetable oil worldwide but, at the same time, is one of the product victims of fraud in the agri-food sector, and the differences about quality within the extra-virgin olive oil category are often missed. Several scientific techniques were applied in order to guarantee the authenticity and quality of this EVOO. In the present study, the volatile compounds (VOCs) by gas chromatography-mass spectrometry with solid-phase micro-extraction detection (GC-MS SPME), organoleptic analysis by the official Slow Food panel and the detection by a Small Sensor System (S3) were applied. Ten EVOOs from Umbria, a central Italian region, were selected from the 2021 Slow Food Italian extra virgin olive oil official guide, which includes hundreds of high-quality olive oils. The results demonstrated the possibility to discriminate the ten EVOOs, even if they belong to the same Italian region, by all three techniques. The result of GC-MS SPME detection was comparable at the discrimination level to the organoleptic test with few exceptions, while the S3 was able to better separate some EVOOs, which were not discriminated perfectly by the other two methods. The correlation analysis performed among and between the three methodologies allowed us to identify 388 strong associations with a value less than 0.05. This study has highlighted how much the mix of VOCs was different even among few and localized EVOOs. The correlation with the sensor detection, which is faster and chipper compared to the other two techniques, elucidated the similarities and discrepancies between the applied methods.

摘要

特级初榨橄榄油(EVOO)是全球最好的植物油,但同时也是农产品欺诈的受害者之一,特级初榨橄榄油类别的质量差异往往被忽视。为了保证这种特级初榨橄榄油的真实性和质量,已经应用了几种科学技术。在本研究中,应用了气相色谱-质谱联用固相微萃取检测(GC-MS SPME)的挥发性化合物(VOCs)、由官方慢食小组进行的感官分析以及小型传感器系统(S3)的检测。从 2021 年慢食意大利特级初榨橄榄油官方指南中选择了来自意大利中部翁布里亚地区的 10 种特级初榨橄榄油,该指南包括数百种高质量的橄榄油。结果表明,即使它们属于同一意大利地区,这三种技术都有可能对这 10 种 EVOO 进行区分。GC-MS SPME 检测的结果在区分水平上与感官测试相当,但 S3 能够更好地分离出一些用其他两种方法无法完全区分的 EVOO。对三种方法之间和之间进行的相关分析使我们能够识别出 388 个具有 值小于 0.05 的强关联。本研究表明,即使是在少量和局部的 EVOO 中,VOC 混合物的差异有多大。与传感器检测的相关性,与其他两种技术相比,该检测更快更灵敏,阐明了所应用方法之间的相似性和差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5887/9572317/c7a938ddcd44/sensors-22-07164-g001.jpg

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