Microalgae Density Measurement Using Quantum-Dot-Integrated Sensing and Communication System

Assessing microalgae density is essential for microalgae cultivation and marine environmental surveillance. This study introduces a quantum dot (QD)-based visible light sensing and communication (VLSC) system that employs emissions spanning the blue, green, yellow, orange, and red spectra to evaluate the density of microalgae across different species and varying densities. The bit error rate (BER) of the VLSC system serves as an intermediate to calculate microalgae density under various data rates and light colors by fitting the linear area of BERs. Orange light demonstrates superior linearity, high optical power, rapid response, and high accuracy in assessing microalgae species of Euchlorocystis marina and Isochrysis galbana. The highest accuracy attained for I. galbana samples is 0.98, averaging at 0.79, when utilizing orange light. These values surpass those obtained through direct measurement of optical power. The proposed method offers high feasibility and adjustable color options for assessing microalgae density, showing potential for integration into smart illumination–sensor–communication systems aimed at microalgae cultivation and marine environmental monitoring.

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Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2025-01-01
DOI
https://doi.org/10.1109/tim.2025.3595231
Primary Topic
Water Quality Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Microalgae Density Measurement Using Quantum-Dot-Integrated Sensing and Communication System

Feng Li, Hua Xiao, Caiming Sun, Kuokuo Zhang et al.
IEEE Transactions on Instrumentation and Measurement
Water Quality Monitoring and Analysis
article

Microalgae Density Measurement Using Quantum-Dot-Integrated Sensing and Communication System

Feng Li, Hua Xiao, Caiming Sun, Kuokuo Zhang, Wensong Wang
article en

Abstract

Assessing microalgae density is essential for microalgae cultivation and marine environmental surveillance. This study introduces a quantum dot (QD)-based visible light sensing and communication (VLSC) system that employs emissions spanning the blue, green, yellow, orange, and red spectra to evaluate the density of microalgae across different species and varying densities. The bit error rate (BER) of the VLSC system serves as an intermediate to calculate microalgae density under various data rates and light colors by fitting the linear area of BERs. Orange light demonstrates superior linearity, high optical power, rapid response, and high accuracy in assessing microalgae species of Euchlorocystis marina and Isochrysis galbana. The highest accuracy attained for I. galbana samples is 0.98, averaging at 0.79, when utilizing orange light. These values surpass those obtained through direct measurement of optical power. The proposed method offers high feasibility and adjustable color options for assessing microalgae density, showing potential for integration into smart illumination–sensor–communication systems aimed at microalgae cultivation and marine environmental monitoring.

IEEE Transactions on Instrumentation and MeasurementVol. 74
Chinese Academy of Sciences (CN), Chinese University of Hong Kong, Shenzhen (CN), Aerospace Information Research Institute (CN), Guangdong Ocean University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 75%
Water Quality Monitoring and Analysis
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Microalgae Density Measurement Using Quantum-Dot-Integrated Sensing and Communication System — Feng Li, Hua Xiao, et al. · IEEE Transactions on Instrumentation and Measurement (2025) | TGRS Research Map | TGRS