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应用实验室制造的电子鼻,根据感知到的果香强度对特级初榨橄榄油进行商业分类。

Application of a lab-made electronic nose for extra virgin olive oils commercial classification according to the perceived fruitiness intensity.

机构信息

Centro de Investigação de Montanha (CIMO), ESA, Instituto Politécnico de Bragança, Campus Santa Apolonia, 5300-253, Bragança, Portugal.

Centro de Investigação de Montanha (CIMO), ESA, Instituto Politécnico de Bragança, Campus Santa Apolonia, 5300-253, Bragança, Portugal.

出版信息

Talanta. 2021 May 1;226:122122. doi: 10.1016/j.talanta.2021.122122. Epub 2021 Jan 21.

Abstract

An electronic nose, comprising nine metal oxide sensors, has been built aiming to classify olive oils according to the fruity intensity commercial grade (ripely fruity or light, medium and intense greenly fruity), following the European regulated complementary terminology. The lab-made sensor device was capable to differentiate standard aqueous solutions (acetic acid, cis-3-hexenyl, cis-3-hexen-1-ol, hexanal, 1-hexenol and nonanal) that mimicked positive sensations (e.g., fatty, floral, fruit, grass, green and green leaves attributes) and negative attributes (e.g., sour and vinegary defects), as well as to semi-quantitatively classify them according to the concentration ranges (0.05-2.25 mg/kg). For that, unsupervised (principal component analysis) and supervised (linear discriminant analysis: sensitivity of 92% for leave-one-out cross validation) classification multivariate models were established based on nine or six gas sensors, respectively. It was also showed that the built E-nose allowed differentiating/discriminating (sensitivity of 81% for leave-one-out cross validation) extra virgin olive oils according to the perceived intensity of fruitiness as ripely fruity, light, medium or intense greenly fruity. In conclusion, the gas sensor device could be used as a practical preliminary non-destructive tool for guaranteeing the correctness of olive oil fruitiness intensity labelling.

摘要

电子鼻由九个金属氧化物传感器组成,旨在根据欧洲规定的补充术语,按照果香强度商业等级(成熟果香或清淡、中等和强烈的青果香)对橄榄油进行分类。该实验室制造的传感器设备能够区分标准水溶液(乙酸、顺-3-己烯、顺-3-己烯-1-醇、己醛、1-己烯醇和壬醛),这些溶液模拟了积极的感觉(例如,脂肪、花香、水果、草、绿色和绿叶属性)和消极属性(例如,酸败和醋味缺陷),并根据浓度范围(0.05-2.25mg/kg)对其进行半定量分类。为此,建立了基于九个或六个气体传感器的无监督(主成分分析)和监督(线性判别分析:留一法交叉验证的灵敏度为 92%)分类多元模型。结果表明,所构建的电子鼻能够根据感知到的果香强度(成熟果香、清淡、中等或强烈青果香)区分/区分特级初榨橄榄油(留一法交叉验证的灵敏度为 81%)。总之,气体传感器设备可以用作保证橄榄油果香强度标签正确性的实用初步非破坏性工具。

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