Suppr超能文献

用于检测、跟踪和追踪牛奶样本中发育情况的纳米结构 MOS 传感器。

Nanostructured MOS Sensor for the Detection, Follow up, and Threshold Pursuing of Development in Milk Samples.

机构信息

Institute of Bioscience and Bioresources, CNR-IBBR, 50019 Sesto Fiorentino (FI), Italy.

Department of Information Engineering, University of Brescia, 25123 Brescia (BS), Italy.

出版信息

Sensors (Basel). 2020 Apr 3;20(7):2009. doi: 10.3390/s20072009.

Abstract

Food poisoning is still the first cause of hospitalization worldwide and the most common microbial agent, , is the most commonly reported gastrointestinal disease in humans in the EU (European Union) as is reported by the European Union One Health 2018 Zoonoses Report styled by the EFSA (European Food Safety Authority) and ECDC (European Center for Disease Prevention and Control). One of the vehicles of transmission of this disease is milk. Nanostructured MOS (Metal Oxide Semiconductor) sensors have extensively demonstrated their ability to reveal the presence and follow the development of microbial species. The main objective of this work was to find a set up for the detection and development follow up of in milk samples. The work was structured in two different studies, the first one was a feasibility survey and the second one was to follow up the development of the bacteria inside milk samples. The obtained results of the first study demonstrate the ability of the sensor array to differentiate the contaminated samples from the control ones. Thanks to the second study, it has been possible to find the limit of microbial safety of the contaminated milk samples.

摘要

食物中毒仍然是全球住院的首要原因,而最常见的微生物病原体是 ,正如欧盟食品安全局(EFSA)和欧洲疾病预防控制中心(ECDC)所报告的那样,在欧盟(欧盟),是人类最常报告的胃肠道疾病。这种疾病的传播媒介之一是牛奶。纳米结构 MOS(金属氧化物半导体)传感器已广泛证明其能够揭示微生物的存在并跟踪其发展。这项工作的主要目标是找到一种用于检测和跟踪牛奶样品中 的方法。这项工作分为两项不同的研究,第一项是可行性调查,第二项是跟踪细菌在牛奶样品中的发展。第一项研究的结果表明,传感器阵列有能力区分污染样本和对照样本。由于第二项研究,已经可以找到污染牛奶样品的微生物安全极限。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/561d/7180930/ea10a8e8e63d/sensors-20-02009-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验