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Akademický článek

Robust statistical calibration and characterization of portable low-cost air quality monitoring sensors to quantify real-time O3 and NO2 concentrations in diverse environments

Autor: R. Sahu, A. Nagal, K. K. Dixit, H. Unnibhavi, S. Mantravadi, S. Nair, Y. Simmhan, B. Mishra, R. Zele, R. Sutaria, V. M. Motghare, P. Kar, S. N. Tripathi

Publikováno v: Atmospheric Measurement Techniques, Vol 14, Pp 37-52 (2021)

Low-cost sensors offer an attractive solution to the challenge of establishing affordable and dense spatio-temporal air quality monitoring networks with greater mobility and lower maintenance costs. These low-cost sensors offer reasonably consistent

Externí odkaz: https://doaj.org/article/8848c84eda3646fdb4ece1d6ff16d77b

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Akademický článek

Gaussian process regression model for dynamically calibrating and surveilling a wireless low-cost particulate matter sensor network in Delhi

Autor: T. Zheng, M. H. Bergin, R. Sutaria, S. N. Tripathi, R. Caldow, D. E. Carlson

Publikováno v: Atmospheric Measurement Techniques, Vol 12, Pp 5161-5181 (2019)

Wireless low-cost particulate matter sensor networks (WLPMSNs) are transforming air quality monitoring by providing particulate matter (PM) information at finer spatial and temporal resolutions. However, large-scale WLPMSN calibration and maintenance

Externí odkaz: https://doaj.org/article/49f2c171971b434aa24fb1af8ab13591

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Akademický článek

Field evaluation of low-cost particulate matter sensors in high- and low-concentration environments

Autor: T. Zheng, M. H. Bergin, K. K. Johnson, S. N. Tripathi, S. Shirodkar, M. S. Landis, R. Sutaria, D. E. Carlson

Publikováno v: Atmospheric Measurement Techniques, Vol 11, Pp 4823-4846 (2018)

Low-cost particulate matter (PM) sensors are promising tools for supplementing existing air quality monitoring networks. However, the performance of the new generation of low-cost PM sensors under field conditions is not well understood. In this s

Externí odkaz: https://doaj.org/article/6adf7baf883c4897a487eab6ab28152f

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Akademický článek

Detection of COVID-19 by quantitative analysis of carbonyl compounds in exhaled breath

Autor: Zhenzhen Xie, James D. Morris, Jianmin Pan, Elizabeth A. Cooke, Saurin R. Sutaria, Dawn Balcom, Subathra Marimuthu, Leslie W. Parrish, Holly Aliesky, Justin J. Huang, Shesh N. Rai, Forest W. Arnold, Jiapeng Huang, Michael H. Nantz, Xiao-An Fu

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)

Abstract COVID-19 has caused a worldwide pandemic, creating an urgent need for early detection methods. Breath analysis has shown great potential as a non-invasive and rapid means for COVID-19 detection. The objective of this study is to detect patie

Externí odkaz: https://doaj.org/article/5dcc2bc18c644b838fddf60dc2ea9cea

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