Development and Application of Miniaturized Multispectral Detection System for Water Reflection Detection

Spectroscopic technology offers the advantage of rapid online monitoring and has attracted significant attention in molecular detection. However, the complex optical spectroscopic structure results in a relatively complex structure for spectral detection systems, limiting their widespread application. In water spectral detection, in addition to ensuring the stability of the optical system, waterproofing is also crucial. Therefore, developing miniaturized spectral detection modules in water spectral detection can improve system stability and reduce the complexity of developing and maintaining underwater hardware. This work develops a compact multispectral detection system centered on a miniature multispectral sensor. The system, controlled by a microcontroller, detects eight spectral channels within the 400-700 nm range and transmits data via the I<sup>2</sup>C bus. The sensitivity and stability of the detection are sufficient for water reflectance spectral detection. Based on the reflectance spectrum obtained by the above module, this work develops a regression algorithm to estimate the chlorophyll concentration in water. By comparing with standard chlorophyll concentration detection instruments, the results demonstrate the effectiveness of the proposed system in accurately estimating chlorophyll concentration.

Authors

Institutions

Publication Details

Journal
Sensors
Published
2025-12-18
DOI
https://doi.org/10.3390/s25247675
Primary Topic
Water Quality Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and Application of Miniaturized Multispectral Detection System for Water Reflection Detection

Fuhong Cai, Chao Li, Feng Luo, Yuze Song et al.
Sensors
Water Quality Monitoring and Analysis
article

Development and Application of Miniaturized Multispectral Detection System for Water Reflection Detection

Fuhong Cai, Chao Li, Feng Luo, Yuze Song, Yunfei Li
article en

Abstract

Spectroscopic technology offers the advantage of rapid online monitoring and has attracted significant attention in molecular detection. However, the complex optical spectroscopic structure results in a relatively complex structure for spectral detection systems, limiting their widespread application. In water spectral detection, in addition to ensuring the stability of the optical system, waterproofing is also crucial. Therefore, developing miniaturized spectral detection modules in water spectral detection can improve system stability and reduce the complexity of developing and maintaining underwater hardware. This work develops a compact multispectral detection system centered on a miniature multispectral sensor. The system, controlled by a microcontroller, detects eight spectral channels within the 400-700 nm range and transmits data via the I<sup>2</sup>C bus. The sensitivity and stability of the detection are sufficient for water reflectance spectral detection. Based on the reflectance spectrum obtained by the above module, this work develops a regression algorithm to estimate the chlorophyll concentration in water. By comparing with standard chlorophyll concentration detection instruments, the results demonstrate the effectiveness of the proposed system in accurately estimating chlorophyll concentration.

SensorsVol. 25(24)
Tianjin University (CN), Tianjin Foreign Studies University (CN), Hainan University (CN), Ministry of Natural Resources (RW), Sanya University (CN), National Center of Ocean Standards and Metrology (CN), Hebei University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 52%
Water Quality Monitoring and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Development and Application of Miniaturized Multispectral Detection System for Water Reflection Detection — Fuhong Cai, Chao Li, et al. · Sensors (2025) | TGRS Research Map | TGRS