Analytical Figures of Merit for Multisensor Arrays

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Analytical Figures of Merit for Multisensor Arrays. / Parastar, Hadi; Kirsanov, Dmitry.

In: ACS Sensors, Vol. 5, No. 2, 28.02.2020, p. 580-587.

Research output: Contribution to journal › Article › peer-review

Author

Parastar, Hadi ; Kirsanov, Dmitry. / Analytical Figures of Merit for Multisensor Arrays. In: ACS Sensors. 2020 ; Vol. 5, No. 2. pp. 580-587.

BibTeX

@article{2dfb48682b6943c2927e823fa2c8d379,

title = "Analytical Figures of Merit for Multisensor Arrays",

abstract = "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.",

keywords = "analytical figures of merit, chemometrics, multisensor arrays, selectivity, sensitivity, CALIBRATION, ELECTRONIC TONGUE, SENSITIVITY, LIMIT, SENSOR ARRAY, ADVANTAGES, PLS-REGRESSION, UNCERTAINTY, TOOL",

author = "Hadi Parastar and Dmitry Kirsanov",

year = "2020",

month = feb,

day = "28",

doi = "10.1021/acssensors.9b02531",

language = "English",

volume = "5",

pages = "580--587",

journal = "Nature Human Behaviour",

issn = "2397-3374",

publisher = "American Chemical Society",

number = "2",

}

RIS

TY - JOUR

T1 - Analytical Figures of Merit for Multisensor Arrays

AU - Parastar, Hadi

AU - Kirsanov, Dmitry

PY - 2020/2/28

Y1 - 2020/2/28

N2 - 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.

AB - 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.

KW - analytical figures of merit

KW - chemometrics

KW - multisensor arrays

KW - selectivity

KW - sensitivity

KW - CALIBRATION

KW - ELECTRONIC TONGUE

KW - SENSITIVITY

KW - LIMIT

KW - SENSOR ARRAY

KW - ADVANTAGES

KW - PLS-REGRESSION

KW - UNCERTAINTY

KW - TOOL

UR - http://www.scopus.com/inward/record.url?scp=85080823802&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/ef7212e3-632c-3565-9655-6c9301bdb77c/

U2 - 10.1021/acssensors.9b02531

DO - 10.1021/acssensors.9b02531

M3 - Article

C2 - 32020792

AN - SCOPUS:85080823802

VL - 5

SP - 580

EP - 587

JO - Nature Human Behaviour

JF - Nature Human Behaviour

SN - 2397-3374

IS - 2

ER -

ID: 52378151