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基于电子鼻的鱼类新鲜度评估控制图

E-nose based control charts for fish freshness evaluation.

作者信息

Buratti Susanna, Grassi Silvia, Ubaldi Paolo Giuseppe, Pianezzola Alberto, Benedetti Simona

机构信息

Department of Food, Environmental, and Nutritional Sciences (DeFENS), Università degli Studi di Milano, via G. Celoria 2, 20133 Milan, Italy.

Esselunga S.p.A., Strada Provinciale per Recetto 580, 28061, Biandrate, Novara, Italy.

出版信息

Food Res Int. 2025 May;209:116313. doi: 10.1016/j.foodres.2025.116313. Epub 2025 Mar 19.

DOI:10.1016/j.foodres.2025.116313
PMID:40253155
Abstract

Freshness is a key indicator of fish quality, making it essential to monitor throughout the food supply chain, particularly during distribution. A rapid, straightforward analytical method for assessing fish quality can provide valuable insights when products reach distribution centers or are commercialized. This study aims to develop a simplified approach based on an electronic nose (e-nose) system to evaluate the freshness of fish products within the distribution chain. The study monitored five seafood products - cuttlefish, red mullet, Atlantic cod, Atlantic mackerel, and mantis shrimp - throughout their shelf life, from arrival and packaging at the distribution centers to beyond their expiration dates. A portable electronic nose, composed by four selected metal oxide semiconductor sensors, a photoionization detector and two electrochemical cells, was used to assess the products, alongside traditional microbial analyses (Total Viable Count). The proposed method identified warning and control limits based on e-nose data, which were further confirmed by microbial testing. Control charts were developed and externally validated to assess product quality through odor intensity measurements by e-nose.

摘要

新鲜度是鱼类品质的关键指标,因此在整个食品供应链中进行监测至关重要,尤其是在分销过程中。当产品到达配送中心或商业化时,一种快速、直接的鱼类品质分析方法可以提供有价值的见解。本研究旨在开发一种基于电子鼻系统的简化方法,以评估分销链中鱼类产品的新鲜度。该研究监测了五种海鲜产品——乌贼、红鲻鱼、大西洋鳕鱼、大西洋鲭鱼和螳螂虾——在其整个货架期内的情况,从到达配送中心并包装开始,直至超过保质期。使用一个由四个选定的金属氧化物半导体传感器、一个光离子化探测器和两个电化学电池组成的便携式电子鼻, alongside traditional microbial analyses (Total Viable Count). The proposed method identified warning and control limits based on e-nose data, which were further confirmed by microbial testing. Control charts were developed and externally validated to assess product quality through odor intensity measurements by e-nose.(此处alongside至结尾这段英文表述不太准确,翻译可能会有偏差,可调整为:同时结合传统的微生物分析(总活菌数)。所提出的方法根据电子鼻数据确定了警告和控制限,并通过微生物检测进一步得到证实。通过电子鼻测量气味强度制定了控制图并进行了外部验证,以评估产品质量。)来评估这些产品,并结合传统的微生物分析(总活菌数)。所提出的方法根据电子鼻数据确定了警告和控制限,并通过微生物检测进一步得到证实。通过电子鼻测量气味强度制定了控制图并进行了外部验证,以评估产品质量。

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