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Development of Electronic Nose Method for Evaluation of HDPE Flavour Characteristics, Correlated with Organoleptic Testing

机译:电子鼻方法的发展,以评估HDPE风味特性,与感官测试相关

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A method for analysing food-grade high-density polyethylene (HDPE) resins was developed using the electronic nose (E-nose) system. Eight different HDPE resin grades were analysed using the E-nose. The E-nose system with principal component analysis was found to be capable of discriminating between the resin grades. The resin samples were soaked in ultra-pure water at 40 ± 2℃ for 1 week. Water samples stored in contact with the resins were organoleptically evaluated at different concentrations by untrained discrimination sensory panels and the resins were ranked based on the degree of off-flavour perceived. The E-nose was used to correlate the sensory data and the sensor responses for the various resin grades, using multivariate statistical techniques. A good correlation was obtained between the E-nose sensor responses and the human sensory analysis data, when the resins were analysed using standardized experimental run conditions. The method is capable of predicting the quality of an unknown food-grade HDPE resin sample, in terms of its possibility of producing an off-flavour in drinking water, which could be a result of migration of low molecular weight compounds from the polymer.
机译:使用电子鼻(E-nose)系统开发了一种分析食品级高密度聚乙烯(HDPE)树脂的方法。使用E-nose分析了八种不同等级的HDPE树脂。发现具有主要成分分析的E型鼻系统能够区分树脂等级。将树脂样品在40±2℃的超纯水中浸泡1周。通过未经培训的辨别感官小组以不同的浓度感官评估与树脂接触存储的水样品,并根据感知到的异味程度对树脂进行排名。使用多元统计技术,使用E型鼻将各种树脂等级的感官数据和传感器响应相关联。当使用标准的实验运行条件对树脂进行分析时,电子鼻传感器的响应与人类的感觉分析数据之间获得了良好的相关性。就其在饮用水中产生异味的可能性而言,该方法能够预测未知食品级HDPE树脂样品的质量,这可能是低分子量化合物从聚合物中迁移出来的结果。

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