A Portable Optical Sensor for Microplastic Detection: Development and Calibration

Microplastics are ubiquitous in the environment and represent a serious risk to ecosystems and human health. This study describes a prototype sensor designed to detect microplastics by analyzing samples with multiple wavelengths of light. The system uses samples of commercially available microplastics and includes passive low-pass filters to reduce noise for accurate readings. The prototype measures light attenuation and produces color spectra that helps identify microplastics. Its design focuses on precision, electronic control, and optical sensing, making it an affordable option for environmental monitoring. Early experiments demonstrate that the prototype is sensitive and reliable under a variety of conditions. Future improvements may add machine learning and fuzzy logic to increase accuracy and expand its use.

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Publication Details

Journal
Applied Sciences
Published
2025-04-25
DOI
https://doi.org/10.3390/app15094757
Citations
3
Primary Topic
Microplastics and Plastic Pollution
Type
article
Field-Weighted Citation Impact
1.51
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article

A Portable Optical Sensor for Microplastic Detection: Development and Calibration

Ricardo Aguilar-Garay, Vicente Garibay-Feblés, Jorge A. Mendoza-Pérez, Maximiliano Campos-López et al.
3 citations
Applied Sciences
Microplastics and Plastic Pollution
1.51
article

A Portable Optical Sensor for Microplastic Detection: Development and Calibration

Ricardo Aguilar-Garay, Vicente Garibay-Feblés, Jorge A. Mendoza-Pérez, Maximiliano Campos-López, Marco A. Reyes-Guzmán, Margoth M. Gamboa-Lugo, Dafne E. González-Rodriguez, Verónica Itzel Mejía-López, Álvaro Gordillo-Sol
article en
3 citations

Abstract

Microplastics are ubiquitous in the environment and represent a serious risk to ecosystems and human health. This study describes a prototype sensor designed to detect microplastics by analyzing samples with multiple wavelengths of light. The system uses samples of commercially available microplastics and includes passive low-pass filters to reduce noise for accurate readings. The prototype measures light attenuation and produces color spectra that helps identify microplastics. Its design focuses on precision, electronic control, and optical sensing, making it an affordable option for environmental monitoring. Early experiments demonstrate that the prototype is sensitive and reliable under a variety of conditions. Future improvements may add machine learning and fuzzy logic to increase accuracy and expand its use.

Applied SciencesVol. 15(9)
Universidad Autónoma de Sinaloa (MX), Mexican Institute of Petroleum (MX), Instituto Politécnico Nacional (MX)
Openalex Percentile: Top 19%
Microplastics and Plastic Pollution
1.51
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