Quantum Dot-Based Visible Light Communication System for Microalgal Density Analysis

This research presents a visible light communication (VLC) system integrated with quantum dots (QDs), which utilizes light emissions across the blue, green, yellow, and red spectra to assess microalgal density under various conditions. The bit error rate (BER) of the VLC system serves as an intermediary metric to determine microalgal density by analyzing the linear and nonlinear trends of BERs under different data rates and light colors. The maximum average accuracies achieved for <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">E. marina</i> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I. galbana</i> samples are 0.97 and 0.98, respectively, when using blue and yellow light. The proposed method offers high feasibility and flexible color options for microalgal density assessment, with potential applications in smart microalgae cultivation and marine environmental monitoring.

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Publication Details

Journal
IEEE Photonics Technology Letters
Published
2025-06-11
DOI
https://doi.org/10.1109/lpt.2025.3578611
Primary Topic
Molecular Communication and Nanonetworks
Type
article
Field-Weighted Citation Impact
0.00

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article

Quantum Dot-Based Visible Light Communication System for Microalgal Density Analysis

Mingxin Liu, Hua Xiao, Caiming Sun, Kishwar Khan et al.
IEEE Photonics Technology Letters
Molecular Communication and Nanonetworks
article

Quantum Dot-Based Visible Light Communication System for Microalgal Density Analysis

Mingxin Liu, Hua Xiao, Caiming Sun, Kishwar Khan, Wensong Wang
article en

Abstract

This research presents a visible light communication (VLC) system integrated with quantum dots (QDs), which utilizes light emissions across the blue, green, yellow, and red spectra to assess microalgal density under various conditions. The bit error rate (BER) of the VLC system serves as an intermediary metric to determine microalgal density by analyzing the linear and nonlinear trends of BERs under different data rates and light colors. The maximum average accuracies achieved for <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">E. marina</i> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I. galbana</i> samples are 0.97 and 0.98, respectively, when using blue and yellow light. The proposed method offers high feasibility and flexible color options for microalgal density assessment, with potential applications in smart microalgae cultivation and marine environmental monitoring.

IEEE Photonics Technology LettersVol. 37(17)
City University of Hong Kong (HK), 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 88%
Molecular Communication and Nanonetworks
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Quantum Dot-Based Visible Light Communication System for Microalgal Density Analysis — Mingxin Liu, Hua Xiao, et al. · IEEE Photonics Technology Letters (2025) | TGRS Research Map | TGRS