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Related Experiment Video

Updated: Jul 29, 2026

$Synthesis and Operation of Fluorescent-core Microcavities for Refractometric Sensing$

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Published on: March 13, 2013

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

Yuze Song^1,2,3, Yunfei Li^4,5, Chao Li^1,2

¹National Ocean Technology Center, Tianjin 300112, China.

Sensors (Basel, Switzerland)

|December 31, 2025

Summary

This study introduces a compact multispectral sensor for underwater molecular detection. The system accurately estimates chlorophyll concentration in water using a novel regression algorithm.

Keywords:

chlorophyll concentration calculation multispectral detection water reflection detection

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Diffuse Reflectance Spectroscopy: Getting the Capillary Refill Test Under One's Thumb

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Published on: December 2, 2017

Area of Science:

Optics and Photonics
Environmental Science
Sensor Technology

Background:

Spectroscopic technology enables rapid molecular detection but often involves complex systems.
Underwater spectral detection requires robust waterproofing and system stability.
Miniaturized modules can enhance stability and simplify hardware for aquatic monitoring.

Purpose of the Study:

To develop a compact multispectral detection system for underwater applications.
To enable accurate estimation of water chlorophyll concentration using spectral data.

Main Methods:

Developed a miniaturized multispectral detection system using a miniature sensor and microcontroller.
The system captures data across eight spectral channels (400-700 nm) via the I2C bus.
A regression algorithm was developed to estimate chlorophyll concentration from reflectance spectra.

Main Results:

The system demonstrated sufficient sensitivity and stability for water reflectance spectral detection.
The developed regression algorithm accurately estimated chlorophyll concentration.
Results were validated against standard chlorophyll detection instruments.

Conclusions:

The compact multispectral detection system is effective for underwater spectral analysis.
The system offers a stable and simplified solution for aquatic monitoring.
Accurate chlorophyll concentration estimation is achievable with the proposed method.