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基于新型纳米线传感器阵列的食品防腐剂低功耗检测

Low-Power Detection of Food Preservatives by a Novel Nanowire-Based Sensor Array.

作者信息

Zappa Dario

机构信息

SENSOR Laboratory, DII, Università degli Studi di Brescia, Via Valotti 9, 25133 Brescia, Italy.

出版信息

Foods. 2019 Jun 25;8(6):226. doi: 10.3390/foods8060226.

DOI:10.3390/foods8060226
PMID:31242679
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6617217/
Abstract

Food preservatives are compounds that are used for the treatment of food to improve the shelf life. In the food industry, it is necessary to monitor all processes for both safety and quality of the product. An electronic nose (or e-nose) is a biomimetic olfactory system that could find numerous industrial applications, including food quality control. Commercial electronic noses are based on sensor arrays composed by a combination of different sensors, which include conductometric metal oxide devices. Metal oxide nanowires are considered among the most promising materials for the fabrication of novel sensing devices, which can enhance the overall performances of e-noses in food applications. The present work reports the fabrication of a novel sensor array based on SnO, CuO, and WO nanowires deposited on top of μHPs provided by ams Sensor Solutions Germany GmbH. The array was tested for the discrimination of four typical compounds added to food products or used for their treatment to increase the shelf life: ethanol, acetone, nitrogen dioxide, and ozone. Results are very promising; the sensors array was able to operate for a long time, consuming less than 50 mW for each single sensor, and principal component analysis (PCA) confirmed that the device was able to discriminate between different compounds.

摘要

食品防腐剂是用于处理食品以延长保质期的化合物。在食品工业中,监测产品的安全和质量的所有过程是必要的。电子鼻是一种仿生嗅觉系统,可在众多工业应用中找到用武之地,包括食品质量控制。商用电子鼻基于由不同传感器组合而成的传感器阵列,其中包括电导式金属氧化物器件。金属氧化物纳米线被认为是制造新型传感设备最有前景的材料之一,这可以提高电子鼻在食品应用中的整体性能。本工作报告了一种基于沉积在德国ams Sensor Solutions GmbH提供的μHP顶部的SnO、CuO和WO纳米线的新型传感器阵列的制造。该阵列针对添加到食品中或用于处理食品以延长保质期的四种典型化合物进行了鉴别测试:乙醇、丙酮、二氧化氮和臭氧。结果非常有前景;传感器阵列能够长时间运行,每个单个传感器的功耗低于50毫瓦,主成分分析(PCA)证实该设备能够区分不同的化合物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98a9/6617217/44d915585522/foods-08-00226-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98a9/6617217/e06391990227/foods-08-00226-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98a9/6617217/688d59a6440b/foods-08-00226-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98a9/6617217/a564b82ddc27/foods-08-00226-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98a9/6617217/bf0643befe73/foods-08-00226-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98a9/6617217/1df25f163af3/foods-08-00226-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98a9/6617217/31ec568c3c63/foods-08-00226-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98a9/6617217/249c4e14ad66/foods-08-00226-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98a9/6617217/3bf0d9262b31/foods-08-00226-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98a9/6617217/44d915585522/foods-08-00226-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98a9/6617217/e06391990227/foods-08-00226-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98a9/6617217/688d59a6440b/foods-08-00226-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98a9/6617217/a564b82ddc27/foods-08-00226-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98a9/6617217/bf0643befe73/foods-08-00226-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98a9/6617217/1df25f163af3/foods-08-00226-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98a9/6617217/31ec568c3c63/foods-08-00226-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98a9/6617217/249c4e14ad66/foods-08-00226-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98a9/6617217/3bf0d9262b31/foods-08-00226-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98a9/6617217/44d915585522/foods-08-00226-g009.jpg

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