High sensitivity and wide range chlorophyll-a determination by simultaneous measurement of absorbance and fluorescence using a linear CCD

Li, Wanxiang; Fu, Yuchao; Huang, Meizhen

doi:10.1016/j.saa.2021.120831

Cited by 8 publications

(2 citation statements)

References 21 publications

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“…Additionally, the impact of turbidity in real-world water samples on the performance of the sensor was not explored. It is well documented that fluorescence measurements in water can be attenuated by turbidity and several studies have addressed this challenge by developing algorithms to compensate for the impact of suspended particles on fluorescence measurements. , This approach or others, such as filtration of large particles from the water samples or incorporation of a colorimetric reporter into the sensor circuitry, could potentially improve the performance of the sensor in complex samples and is worth further investigation.…”

Section: Discussionmentioning

confidence: 99%

Detection of Bile Acids in Complex Matrices Using a Transcription Factor-Based Biosensor

Beabout

Breedon

Blum

et al. 2022

ACS Biomater. Sci. Eng.

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Bile acids play an important role in digestion and human health, are found throughout the gastrointestinal tract, and are excreted in feces. Therefore, bile acids are promising biomarkers for monitoring health and detecting fecal contamination in water sources.Here, we engineered a bile acid sensor by expressing the transcription factor BreR, a TetR-like repressor from Vibrio cholorae, in Escherichia coli. The sensor was further optimized by screening a promoter library. To further characterize the BreR sensor and increase its utility, we moved expression to a cell-free expression (CFE) system, resulting in an approximately 3 orders of magnitude increase in deoxycholic acid sensitivity. We next optimized this sensor to detect bile acids in fecal water, wastewater, and serum and transferred the CFE sensor to a paper-based assay to enhance fieldability.

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Section: Discussionmentioning

confidence: 99%

Detection of Bile Acids in Complex Matrices Using a Transcription Factor-Based Biosensor

Beabout

Breedon

Blum

et al. 2022

ACS Biomater. Sci. Eng.

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“…By integrating three-dimensional fluorescence spectra with non-negative weighted least squares linear regression analysis, they established a rapid and precise technique for calculating phytoplankton concentrations, even amid CDOM interference. Li et al [24] utilized a linear CCD as the detector and incorporated optical information from fluorescence and absorbance. They presented a turbidity compensation algorithm that relies on a CCD integration time conversion method, thereby mitigating measurement errors related to the concentration of chlorophyll-a.…”

Section: Introductionmentioning

confidence: 99%

Rapid Correction of Turbidity and CDOM Interference on Three-Dimensional Fluorescence Spectra of Live Algae Based on Deep Learning

2023

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In natural aquatic environments, the existence of colored dissolved organic matter (CDOM), suspended particles, and colloids can cause scattering and reflection of light and even emit fluorescence itself. Such interference negatively impacts algal fluorescence, further making it unreliable to measure the algal concentration using three-dimensional excitation–emission matrix (3D-EEM) fluorescence spectroscopy. In this study, we proposed a novel algal fluorescence anti-interference network (AFAI-Net) based on a convolutional neural network. The main procedure of this model can be divided into two parts: (1) to quickly determine if there is an interference of CDOM or turbidity in the detected algal samples; (2) to correct the interfered samples and output the fluorescent components of the algae. We trained the model using the 3D-EEMs of pure algal samples (non-interfered) and mixed samples of algae and CDOM or turbidity (interfered); as a result, the well-trained model achieved a total classification accuracy of 96.82%, and the RMSE of CDOM and turbidity removal fitting effects were 0.2274 and 0.3423, respectively. Compared with the non-negative weighted least squares (NNLS) regression analysis method, using the CNN model for CDOM correction resulted in 13.11%, 0.65%, and 5.69% reductions in the average deviation rate for PD, PG, and CM, respectively. Furthermore, the spectra corrected by the model predicted algal densities that were closer to the true algal densities. This study provides a new way to remove non-algal factors that affect algal fluorescence spectra in water bodies, which is beneficial to monitoring eutrophication and red tide in aquatic systems.

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A novel turbidity compensation method for water measurements by UV/Vis and fluorescence spectroscopy

Penzel,

Mayer,

Goblirsch

et al. 2025

Measurement

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High sensitivity and wide range chlorophyll-a determination by simultaneous measurement of absorbance and fluorescence using a linear CCD

Cited by 8 publications

References 21 publications

Detection of Bile Acids in Complex Matrices Using a Transcription Factor-Based Biosensor

Detection of Bile Acids in Complex Matrices Using a Transcription Factor-Based Biosensor

Rapid Correction of Turbidity and CDOM Interference on Three-Dimensional Fluorescence Spectra of Live Algae Based on Deep Learning

A novel turbidity compensation method for water measurements by UV/Vis and fluorescence spectroscopy

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