Literature DB >> 33530337

Investigating a Low-Cost Dryer Designed for Low-Cost PM Sensors Measuring Ambient Air Quality.

Abdul Samad1, Freddy Ernesto Melchor Mimiaga1, Bernd Laquai1, Ulrich Vogt1.   

Abstract

Air pollution in urban areas is a huge concern that demands an efficient air quality control to ensure health quality standards. The hotspots can be located by increasing spatial distribution of ambient air quality monitoring for which the low-cost sensors can be used. However, it is well-known that many factors influence their results. For low-cost Particulate Matter (PM) sensors, high relative humidity can have a significant impact on data quality. In order to eliminate or reduce the impact of high relative humidity on the results obtained from low-cost PM sensors, a low-cost dryer was developed and its effectiveness was investigated. For this purpose, a test chamber was designed, and low-cost PM sensors as well as professional reference devices were installed. A vaporizer regulated the humid conditions in the test chamber. The low-cost dryer heated the sample air with a manually adjustable intensity depending on the voltage. Different voltages were tested to find the optimum one with least energy consumption and maximum drying efficiency. The low-cost PM sensors with and without the low-cost dryer were compared. The experimental results verified that using the low-cost dryer reduced the influence of relative humidity on the low-cost PM sensor results.

Entities:  

Keywords:  PM sensor; air pollutants; air quality monitoring; air quality sensor; humidity influence on PM; low-cost dryer; low-cost sensor

Mesh:

Substances:

Year:  2021        PMID: 33530337      PMCID: PMC7865657          DOI: 10.3390/s21030804

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


  8 in total

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Journal:  Environ Int       Date:  2016-12-28       Impact factor: 9.621

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Authors:  Malek Bentayeb; Verene Wagner; Morgane Stempfelet; Marie Zins; Marcel Goldberg; Mathilde Pascal; Sophie Larrieu; Pascal Beaudeau; Sylvie Cassadou; Daniel Eilstein; Laurent Filleul; Alain Le Tertre; Sylvia Medina; Laurence Pascal; Helene Prouvost; Philippe Quénel; Abdelkrim Zeghnoun; Agnes Lefranc
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Authors:  O Raaschou-Nielsen; R Beelen; M Wang; G Hoek; Z J Andersen; B Hoffmann; M Stafoggia; E Samoli; G Weinmayr; K Dimakopoulou; M Nieuwenhuijsen; W W Xun; P Fischer; K T Eriksen; M Sørensen; A Tjønneland; F Ricceri; K de Hoogh; T Key; M Eeftens; P H Peeters; H B Bueno-de-Mesquita; K Meliefste; B Oftedal; P E Schwarze; P Nafstad; C Galassi; E Migliore; A Ranzi; G Cesaroni; C Badaloni; F Forastiere; J Penell; U De Faire; M Korek; N Pedersen; C-G Östenson; G Pershagen; L Fratiglioni; H Concin; G Nagel; A Jaensch; A Ineichen; A Naccarati; M Katsoulis; A Trichpoulou; M Keuken; A Jedynska; I M Kooter; J Kukkonen; B Brunekreef; R S Sokhi; K Katsouyanni; P Vineis
Journal:  Environ Int       Date:  2015-11-28       Impact factor: 9.621

6.  Long-term field comparison of multiple low-cost particulate matter sensors in an outdoor urban environment.

Authors:  Florentin M J Bulot; Steven J Johnston; Philip J Basford; Natasha H C Easton; Mihaela Apetroaie-Cristea; Gavin L Foster; Andrew K R Morris; Simon J Cox; Matthew Loxham
Journal:  Sci Rep       Date:  2019-05-16       Impact factor: 4.379

7.  Field performance of a low-cost sensor in the monitoring of particulate matter in Santiago, Chile.

Authors:  Matías Tagle; Francisca Rojas; Felipe Reyes; Yeanice Vásquez; Fredrik Hallgren; Jenny Lindén; Dimitar Kolev; Ågot K Watne; Pedro Oyola
Journal:  Environ Monit Assess       Date:  2020-02-10       Impact factor: 2.513

8.  How to Get the Best from Low-Cost Particulate Matter Sensors: Guidelines and Practical Recommendations.

Authors:  Erika Brattich; Alessandro Bracci; Alessandro Zappi; Pietro Morozzi; Silvana Di Sabatino; Federico Porcù; Francesca Di Nicola; Laura Tositti
Journal:  Sensors (Basel)       Date:  2020-05-29       Impact factor: 3.576

  8 in total
  1 in total

1.  Academically Produced Air Pollution Sensors for Personal Exposure Assessment: The Canarin Project.

Authors:  Boris Dessimond; Isabella Annesi-Maesano; Jean-Louis Pepin; Salim Srairi; Giovanni Pau
Journal:  Sensors (Basel)       Date:  2021-03-08       Impact factor: 3.576

  1 in total

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