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利用基于固态气体传感器的多传感器阵列记录 MYPGP 基质上的菌落存在情况。

Recording the Presence of Colonies on MYPGP Substrates Using a Multi-Sensor Array Based on Solid-State Gas Sensors.

机构信息

Department of Poultry Science and Apiculture, Faculty of Animal Bioengineering, University of Warmia and Mazury in Olsztyn, Sloneczna 48, 10-957 Olsztyn, Poland.

Faculty of Mathematics and Computer Science, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland.

出版信息

Sensors (Basel). 2021 Jul 19;21(14):4917. doi: 10.3390/s21144917.

DOI:10.3390/s21144917
PMID:34300655
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8309915/
Abstract

American foulbrood is a dangerous disease of bee broods found worldwide, caused by the L. bacterium. In an experiment, the possibility of detecting colonies of this bacterium on MYPGP substrates (which contains yeast extract, Mueller-Hinton broth, glucose, K2HPO4, sodium pyruvate, and agar) was tested using a prototype of a multi-sensor recorder of the MCA-8 sensor signal with a matrix of six semiconductors: TGS 823, TGS 826, TGS 832, TGS 2600, TGS 2602, and TGS 2603 from Figaro. Two twin prototypes of the MCA-8 measurement device, M1 and M2, were used in the study. Each prototype was attached to two laboratory test chambers: a wooden one and a polystyrene one. For the experiment, the strain used was ATCC 9545, ERIC I. On MYPGP medium, often used for laboratory diagnosis of American foulbrood, this bacterium produces small, transparent, smooth, and shiny colonies. Gas samples from over culture media of one- and two-day-old foulbrood (with no colonies visible to the naked eye) and from over culture media older than 2 days (with visible bacterial colonies) were examined. In addition, the air from empty chambers was tested. The measurement time was 20 min, including a 10-min testing exposure phase and a 10-min sensor regeneration phase. The results were analyzed in two variants: without baseline correction and with baseline correction. We tested 14 classifiers and found that a prototype of a multi-sensor recorder of the MCA-8 sensor signal was capable of detecting colonies of on MYPGP substrate with a 97% efficiency and could distinguish between MYPGP substrates with 1-2 days of culture, and substrates with older cultures. The efficacy of copies of the prototypes M1 and M2 was shown to differ slightly. The weighted method with Canberra metrics (Canberra.811) and kNN with Canberra and Manhattan metrics (Canberra. 1nn and manhattan.1nn) proved to be the most effective classifiers.

摘要

美洲幼虫腐臭病是一种世界性的蜜蜂幼虫疾病,由 L. 细菌引起。在一项实验中,使用来自 Figaro 的六半导体矩阵的 MCA-8 传感器信号多传感器记录器原型测试了在 MYPGP 基质(含有酵母提取物、Mueller-Hinton 肉汤、葡萄糖、K2HPO4、丙酮酸钠和琼脂)上检测这种细菌菌落的可能性。研究中使用了两个 MCA-8 测量设备的双胞胎原型 M1 和 M2。每个原型都连接到两个实验室测试室:一个木制的和一个聚苯乙烯的。实验中使用的菌株是 ATCC 9545,ERIC I。在常用于实验室诊断美洲幼虫腐臭病的 MYPGP 培养基上,这种细菌产生小而透明、光滑和有光泽的菌落。检查了 1 天和 2 天龄腐臭病(肉眼看不见任何菌落)和 2 天以上的培养物(可见细菌菌落)的培养基上方的气体样本,以及空室的空气样本。测量时间为 20 分钟,包括 10 分钟的测试暴露阶段和 10 分钟的传感器再生阶段。结果分析了两种变体:无基线校正和基线校正。我们测试了 14 种分类器,发现 MCA-8 传感器信号的多传感器记录器原型能够以 97%的效率检测 MYPGP 基质上的菌落,并且能够区分 1-2 天培养的 MYPGP 基质和较老培养物的基质。原型 M1 和 M2 的副本的功效显示出略有差异。带坎伯拉度量的加权方法(坎伯拉.811)和带坎伯拉和曼哈顿度量的 kNN(坎伯拉.1nn 和曼哈顿.1nn)被证明是最有效的分类器。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144b/8309915/2fbde0df5d65/sensors-21-04917-g008.jpg
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