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Detection of Soft‐Deodorized Olive Oil and Refined Vegetable Oils in Virgin Olive Oil Using Near Infrared Spectroscopy and Traditional Analytical Parameters
European Journal of Lipid Science and Technology ( IF 1.8 ) Pub Date : 2020-05-04 , DOI: 10.1002/ejlt.201900355 Christian Gertz 1 , Bertrand Matthäus 2 , Ina Willenberg 2
European Journal of Lipid Science and Technology ( IF 1.8 ) Pub Date : 2020-05-04 , DOI: 10.1002/ejlt.201900355 Christian Gertz 1 , Bertrand Matthäus 2 , Ina Willenberg 2
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The European Parliament identifies virgin olive oil (VOO) as one of the foods which are often subject to fraudulent activities. Possibilities of adulteration are the application of illegal soft deodorization of extra virgin olive oil (EVOO) or the commercialization of blends of EVOO with soft‐deodorized EVOO or refined vegetable oils. Despite the search for possibilities to prove the illegal soft deodorization of EVOO or the addition of cheaper vegetable oils to EVOO, suitable methods are still missing. Therefore, the aim of the study is to develop a new analytical and statistical approach addressing detection of mild deodorization or addition of refined foreign oils. For this purpose, VOOs are treated in lab‐scale for 1 h up to 28 days at different temperatures (20, 50, 60, 80,100, 110, and 170 °C) in order to simulate and study the effect of heat treatment on known analytical parameters by near infrared spectroscopy (NIR). A logit regression model enabling the calculation of the probability for a heat treatment is developed. This new methodology allows detecting both soft deodorized olive oils and blends of EVOO with cheaper full refined vegetable oils. Adding only 10% of full refined oil could be detected in extra VOO.
中文翻译：
使用近红外光谱和传统分析参数检测初榨橄榄油中的软脱臭橄榄油和精制植物油
欧洲议会将初榨橄榄油（VOO）确定为经常遭受欺诈活动的食物之一。掺假的可能性是对特级初榨橄榄油（EVOO）进行非法的软脱臭，或将EVOO与软脱臭的EVOO或精制植物油的混合物商业化。尽管正在寻找证明EVOO非法软除臭或在EVOO中添加便宜的植物油的可能性，但仍缺少合适的方法。因此，本研究的目的是开发一种新的分析和统计方法，以解决轻度除臭或添加精制外国油的检测。为此，在不同温度下（20、50、60、80,100、110，和170°C），以通过近红外光谱（NIR）模拟和研究热处理对已知分析参数的影响。开发了能够计算热处理可能性的对数回归模型。这种新方法既可以检测软质除臭橄榄油，也可以检测EVOO与较便宜的全精制植物油的混合物。在额外的VOO中只能检测到全精炼油的10％。
更新日期：2020-05-04
中文翻译：
使用近红外光谱和传统分析参数检测初榨橄榄油中的软脱臭橄榄油和精制植物油
欧洲议会将初榨橄榄油（VOO）确定为经常遭受欺诈活动的食物之一。掺假的可能性是对特级初榨橄榄油（EVOO）进行非法的软脱臭，或将EVOO与软脱臭的EVOO或精制植物油的混合物商业化。尽管正在寻找证明EVOO非法软除臭或在EVOO中添加便宜的植物油的可能性，但仍缺少合适的方法。因此，本研究的目的是开发一种新的分析和统计方法，以解决轻度除臭或添加精制外国油的检测。为此，在不同温度下（20、50、60、80,100、110，和170°C），以通过近红外光谱（NIR）模拟和研究热处理对已知分析参数的影响。开发了能够计算热处理可能性的对数回归模型。这种新方法既可以检测软质除臭橄榄油，也可以检测EVOO与较便宜的全精制植物油的混合物。在额外的VOO中只能检测到全精炼油的10％。
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