Literature DB >> 30270936

DESIGN AND OPTIMIZATION OF A COMPACT LOW-COST OPTICAL PARTICLE SIZER.

Tomas Njalsson1, Igor Novosselov1.   

Abstract

Direct measurements of time- and size-resolved particulate matter (PM) concentrations are of major importance in air quality studies and pollution monitoring. Low-cost, compact optical particle counters (OPCs), which provide accurate PM measurements independent of the particle complex index of refraction (CRI), can be useful in personal exposure monitoring and distributed sensor network studies applications. A methodology is presented for the optimization of the sensor design and operation parameter space aimed at reducing the effect of the CRI on particle sizing errors. The Monte Carlo numerical simulation, which utilizes Mie scattering calculations, is used to determine the optimal detector angle for the specific set of constraints described by the weighting coefficients. The optimized detector position (θ = 48°) has the lowest dependency on CRI over the entire particle size range of 0.5-10 microns. The near-forward, optimized, and perpendicular detector angles are compared experimentally using monodisperse 2 μm and 4 μm particles of silica, PSL, and alumina; the light collection cone angle is set at α = 20° in all experiments. The data agree well with the numerical results for all tested scenarios. Overall, the perpendicular detector location has the best precision and worst accuracy related to the CRI variations. The optimized detector position has the best accuracy for both silica and alumina particles. The use of low-cost components, such as laser diodes, photodiodes, miniaturized integrated electronics, and simple component layouts allows for the development of compact OPCs capable of accurately sizing PM. The number of sizing bins, sizing accuracy and precision, and other parameters of interest can be used as an input to an optimization algorithm.

Entities:  

Year:  2018        PMID: 30270936      PMCID: PMC6159267          DOI: 10.1016/j.jaerosci.2018.01.003

Source DB:  PubMed          Journal:  J Aerosol Sci        ISSN: 0021-8502            Impact factor:   3.433


  16 in total

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Journal:  Appl Opt       Date:  1980-02-01       Impact factor: 1.980

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Authors:  James S Brown; Kirby L Zeman; William D Bennett
Journal:  Am J Respir Crit Care Med       Date:  2002-11-01       Impact factor: 21.405

6.  Particulate air pollution as a predictor of mortality in a prospective study of U.S. adults.

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Journal:  Am J Respir Crit Care Med       Date:  1995-03       Impact factor: 21.405

7.  Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution.

Authors:  C Arden Pope; Richard T Burnett; Michael J Thun; Eugenia E Calle; Daniel Krewski; Kazuhiko Ito; George D Thurston
Journal:  JAMA       Date:  2002-03-06       Impact factor: 56.272

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Authors:  Daniel Krewski; Michael Jerrett; Richard T Burnett; Renjun Ma; Edward Hughes; Yuanli Shi; Michelle C Turner; C Arden Pope; George Thurston; Eugenia E Calle; Michael J Thun; Bernie Beckerman; Pat DeLuca; Norm Finkelstein; Kaz Ito; D K Moore; K Bruce Newbold; Tim Ramsay; Zev Ross; Hwashin Shin; Barbara Tempalski
Journal:  Res Rep Health Eff Inst       Date:  2009-05

9.  Long-term effects of traffic-related air pollution on mortality in a Dutch cohort (NLCS-AIR study).

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Journal:  Environ Health Perspect       Date:  2008-02       Impact factor: 9.031

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Authors:  Elena Austin; Igor Novosselov; Edmund Seto; Michael G Yost
Journal:  PLoS One       Date:  2015-09-14       Impact factor: 3.240

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  2 in total

Review 1.  Review of the Newly Developed, Mobile Optical Sensors for Real-Time Measurement of the Atmospheric Particulate Matter Concentration.

Authors:  Sama Molaie; Paolo Lino
Journal:  Micromachines (Basel)       Date:  2021-04-09       Impact factor: 2.891

2.  Assessing the value of complex refractive index and particle density for calibration of low-cost particle matter sensor for size-resolved particle count and PM2.5 measurements.

Authors:  Ching-Hsuan Huang; Jiayang He; Elena Austin; Edmund Seto; Igor Novosselov
Journal:  PLoS One       Date:  2021-11-11       Impact factor: 3.240

  2 in total

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