Ebru Karacan, O. Özdikicierler, F. Yemişçioğlu
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引用次数: 0

摘要

由于初榨橄榄油的高价格和消费者的需求,它是必不可少的产品,容易受到不公平经济利益的欺骗。在我们的研究中,以不同量的葵花籽油、棕榈油和棉籽油作为掺假剂,制备掺假样品。利用甾醇组成、理论与实际等效碳数42甘油三酯(ΔECN42)值的差值以及FTIR光谱对掺假和初制橄榄油样品进行分类。Δ7-stigmastenol和油菜甾醇的决策树允许检测10%以上的掺假。ΔECN42和FTIR提供了很好的检测掺假样品,即使是1%浓度的混合油。然而,随着初榨橄榄油样品集的季节和品种的不同,FTIR的检测性能有所下降。正确的多变量方法和FTIR数据选择对FTIR光谱检测VOO掺假的性能有重要影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NATÜREL ZEYTİNYAĞI TAĞŞİŞİNİN TESPİTİNDE STEROL KOMPOZİSYONU, ECN42 FARKI VE FTIR SPEKTROSKOPİSİNİN KULLANIMININ KARŞILAŞTIRMALI OLARAK İNCELENMESİ
Due to its high price and consumer demand, virgin olive oil is an essential product vulnerable to deception for unfair economic gain. In our research, sunflower, palm olein and cottonseed oil were used as adulterants in different amounts for the preparation of adulterated samples. Sterol composition, the difference in theoretical and actual equivalent carbon number 42 triglycerides (ΔECN42) value and FTIR spectra were used to classify the adulterated and virgin olive oil samples. Decision trees on Δ7-stigmastenol and campesterol allowed the detection of 10% and higher adulteration. ΔECN42 ad FTIR provided good detection of the adulterated samples, even for the mixed oils at 1% concentration. However, the detecting performance of the FTIR decreased as the virgin olive oil sample set expanded with different seasons and varieties. Correct multivariate approach and FTIR data selection significantly influence the performance of FTIR spectroscopy for detecting VOO adulteration.
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