功勋
灵敏度(控制系统)
背景(考古学)
极限(数学)
检出限
领域(数学)
计算机科学
多元统计
生物系统
数据挖掘
机器学习
数学
统计
工程类
电子工程
地质学
数学分析
古生物学
生物
纯数学
计算机视觉
作者
Hadi Parastar,Dmitry Kirsanov
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2020-02-05
卷期号:5 (2): 580-587
被引量:22
标识
DOI:10.1021/acssensors.9b02531
摘要
Multisensor arrays employing various sensing principles are a rapidly developing field of research as they allow simple and inexpensive quantification of various parameters in complex samples. Quantitative analysis with such systems is based on multivariate regression techniques, and deriving of traditional analytical figures of merit (e.g., sensitivity, selectivity, limit of detection, and limit of quantitation) for such systems is not obvious and straightforward. Nevertheless, it is absolutely needed for further development of the multisensor research field and for introducing these instruments into the general context of analytical chemistry. Here, we report on the protocol for calculation of sensitivity, selectivity, and detection limits for multisensor arrays. The results are provided and discussed in detail for several real-world data sets.
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