Literature DB >> 33260320

A Review of Low-Cost Particulate Matter Sensors from the Developers' Perspectives.

Brigida Alfano1, Luigi Barretta2,3, Antonio Del Giudice1, Saverio De Vito1, Girolamo Di Francia1, Elena Esposito1, Fabrizio Formisano1, Ettore Massera1, Maria Lucia Miglietta1, Tiziana Polichetti1.   

Abstract

The concerns related to particulate matter's health effects alongside the increasing demands from citizens for more participatory, timely, and diffused air quality monitoring actions have resulted in increasing scientific and industrial interest in low-cost particulate matter sensors (LCPMS). In the present paper, we discuss 50 LCPMS models, a number that is particularly meaningful when compared to the much smaller number of models described in other recent reviews on the same topic. After illustrating the basic definitions related to particulate matter (PM) and its measurements according to international regulations, the device's operating principle is presented, focusing on a discussion of the several characterization methodologies proposed by various research groups, both in the lab and in the field, along with their possible limitations. We present an extensive review of the LCPMS currently available on the market, their electronic characteristics, and their applications in published literature and from specific tests. Most of the reviewed LCPMS can accurately monitor PM changes in the environment and exhibit good performances with accuracy that, in some conditions, can reach R2 values up to 0.99. However, such results strongly depend on whether the device is calibrated or not (using a reference method) in the operative environment; if not, R2 values lower than 0.5 are observed.

Entities:  

Keywords:  IoT AQ nodes; air quality; air quality monitoring; calibration; characterization; low cost particulate matter sensors; particulate matter; performances

Year:  2020        PMID: 33260320      PMCID: PMC7730878          DOI: 10.3390/s20236819

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  42 in total

Review 1.  A review on the human health impact of airborne particulate matter.

Authors:  Ki-Hyun Kim; Ehsanul Kabir; Shamin Kabir
Journal:  Environ Int       Date:  2014-10-24       Impact factor: 9.621

2.  A distributed network of low-cost continuous reading sensors to measure spatiotemporal variations of PM2.5 in Xi'an, China.

Authors:  Meiling Gao; Junji Cao; Edmund Seto
Journal:  Environ Pollut       Date:  2015-01-23       Impact factor: 8.071

3.  Spatial-Temporal Dispersion of Aerosolized Nanoparticles During the Use of Consumer Spray Products and Estimates of Inhalation Exposure.

Authors:  Jihoon Park; Seunghon Ham; Miyeon Jang; Jinho Lee; Sunju Kim; Sungkyoon Kim; Kiyoung Lee; Donguk Park; Jungtaek Kwon; Hyunmi Kim; Pilje Kim; Kyunghee Choi; Chungsik Yoon
Journal:  Environ Sci Technol       Date:  2017-05-24       Impact factor: 9.028

4.  Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates?

Authors:  Nuria Castell; Franck R Dauge; Philipp Schneider; Matthias Vogt; Uri Lerner; Barak Fishbain; David Broday; Alena Bartonova
Journal:  Environ Int       Date:  2016-12-28       Impact factor: 9.621

5.  Fine particulate matter in the indoor air of barbeque restaurants: elemental compositions, sources and health risks.

Authors:  Simge Taner; Beyhan Pekey; Hakan Pekey
Journal:  Sci Total Environ       Date:  2013-03-28       Impact factor: 7.963

6.  Evaluating the feasibility of a personal particle exposure monitor in outdoor and indoor microenvironments in Shanghai, China.

Authors:  Kan Wang; Fei-Er Chen; William Au; Zhuohui Zhao; Zhao-Lin Xia
Journal:  Int J Environ Health Res       Date:  2018-10-12       Impact factor: 3.411

7.  Temperature and Humidity Calibration of a Low-Cost Wireless Dust Sensor for Real-Time Monitoring.

Authors:  Hannaneh Hojaiji; Haik Kalantarian; Alex A T Bui; Christine E King; Majid Sarrafzadeh
Journal:  2017 IEEE Sens Appl Symp (SAS) (2017)       Date:  2017-04-12

8.  Development of Low-Cost Air Quality Stations for Next Generation Monitoring Networks: Calibration and Validation of PM2.5 and PM10 Sensors.

Authors:  Alice Cavaliere; Federico Carotenuto; Filippo Di Gennaro; Beniamino Gioli; Giovanni Gualtieri; Francesca Martelli; Alessandro Matese; Piero Toscano; Carolina Vagnoli; Alessandro Zaldei
Journal:  Sensors (Basel)       Date:  2018-08-28       Impact factor: 3.576

9.  City Scale Particulate Matter Monitoring Using LoRaWAN Based Air Quality IoT Devices.

Authors:  Steven J Johnston; Philip J Basford; Florentin M J Bulot; Mihaela Apetroaie-Cristea; Natasha H C Easton; Charlie Davenport; Gavin L Foster; Matthew Loxham; Andrew K R Morris; Simon J Cox
Journal:  Sensors (Basel)       Date:  2019-01-08       Impact factor: 3.576

10.  Association between short-term exposure to air pollution and COVID-19 infection: Evidence from China.

Authors:  Yongjian Zhu; Jingui Xie; Fengming Huang; Liqing Cao
Journal:  Sci Total Environ       Date:  2020-04-15       Impact factor: 7.963

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  4 in total

1.  Correction: Alfano et al. A Review of Low-Cost Particulate Matter Sensors from the Developers' Perspectives. Sensors 2020, 20, 6819.

Authors:  Brigida Alfano; Luigi Barretta; Antonio Del Giudice; Saverio De Vito; Girolamo Di Francia; Elena Esposito; Fabrizio Formisano; Ettore Massera; Maria Lucia Miglietta; Tiziana Polichetti
Journal:  Sensors (Basel)       Date:  2021-04-28       Impact factor: 3.576

Review 2.  Establishing A Sustainable Low-Cost Air Quality Monitoring Setup: A Survey of the State-of-the-Art.

Authors:  Mannam Veera Narayana; Devendra Jalihal; S M Shiva Nagendra
Journal:  Sensors (Basel)       Date:  2022-01-05       Impact factor: 3.576

3.  Automatically Controlled Dust Generation System Using Arduino.

Authors:  Dan Hofstetter; Eileen Fabian; Dorian Dominguez; A Gino Lorenzoni
Journal:  Sensors (Basel)       Date:  2022-06-17       Impact factor: 3.847

4.  Feasibility of low-cost particle sensor types in long-term indoor air pollution health studies after repeated calibration, 2019-2021.

Authors:  Elle Anastasiou; M J Ruzmyn Vilcassim; John Adragna; Emily Gill; Albert Tovar; Lorna E Thorpe; Terry Gordon
Journal:  Sci Rep       Date:  2022-08-26       Impact factor: 4.996

  4 in total

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