Authentication of "Avola almonds" by near infrared (NIR) spectroscopy and chemometrics

Authentication of "Avola almonds" by near infrared (NIR) spectroscopy and chemometrics
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DOI:
10.1016/j.jfca.2019.103235
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发表时间:
2019-09-01
影响因子:
4.3
通讯作者:
Biancolillo, Alessandra
Biancolillo, Alessandra
中科院分区:
农林科学2区
文献类型:
--
作者:
Firmani, Patrizia;Bucci, Remo;Biancolillo, Alessandra

文献摘要

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阿沃拉杏仁是意大利农业食品、林业和旅游政策部制定的“传统意大利农业食品产品”(PAT)清单的一部分;这一认可证明了其作为高附加值产品的地位,因此,它强调了适合其认证的分析方法的需求。出于这些原因,在本研究中,开发一种非破坏性的方法,旨在区分杏仁种植的阿沃拉地区从其他呈现不同的地理来源的可能性,进行了调查。为了实现这一目的,227杏仁,种植在阿沃拉地区或其他意大利领土,已分析了近红外(NIR)光谱加上偏最小二乘判别分析(PLS-DA)和软独立建模类类比(SIMCA)。这两种测试方法获得了令人满意的结果(在外部验证中),表明它们都是用于研究目的的合适工具。
Avola almond is part of the "Traditional Italian Agri-food Product" (PAT) list, as established by The Italian Ministry of agricultural food, forestry and tourism policies; this endorsement testifies its status as a high added value product, and, consequently, it highlights the need of analytical methodologies suitable for its authentication. For these reasons, in the present study, the possibility of developing a non-destructive approach, aimed at distinguishing almonds cultivated in the Avola area from others presenting a different geographical origin, has been investigated. To fulfil this purpose, 227 almonds, cultivated in the Avola area or in other Italian territories, have been analysed by near infrared (NIR) spectroscopy coupled with Partial Least Squares-Discriminant Analysis (PLS-DA) and Soft Independent Modelling of Class Analogies (SIMCA). The two tested approaches achieved satisfactory results (in external validation) indicating both of them would represent a suitable tool for the purpose of the study.