A Rapid Approach to Measure Extracted Chlorophyll-a from Lettuce Leaves using Electrical Impedance Spectroscopy

Chlorophyll-a is a highly measured metric in water quality and plant health monitoring. Current laboratory-based methods exploit spectroscopic techniques and require expensive instrumentation like spectrophotometer or fluorometer. In this work, a rapid approach has been proposed using electrical imp...

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Bibliographic Details
Published in:Water, air, and soil pollution air, and soil pollution, 2021-02, Vol.232 (2), Article 73
Main Authors: Chowdhury, Rakibul Islam, Basak, Rinku, Wahid, Khan Arif, Nugent, Katy, Baulch, Helen
Format: Article
Language:English
Subjects:
Analysis
Analytical methods
Atmospheric Protection/Air Quality Control/Air Pollution
Chlorophyll
Chlorophyll a
Climate Change/Climate Change Impacts
Earth and Environmental Science
Electrical impedance
Environment
Environmental monitoring
Ethanol
Fluorometers
Hydrogeology
Impedance
Impedance spectroscopy
Inflation (Finance)
Instrumentation
Leaves
Methods
Regression models
Root-mean-square errors
Soil Science & Conservation
Spectrophotometers
Spectroscopic analysis
Spectroscopic techniques
Spectroscopy
Spectrum analysis
Water quality
Water quality measurements
Water Quality/Water Pollution
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Summary:Chlorophyll-a is a highly measured metric in water quality and plant health monitoring. Current laboratory-based methods exploit spectroscopic techniques and require expensive instrumentation like spectrophotometer or fluorometer. In this work, a rapid approach has been proposed using electrical impedance spectroscopy (EIS) to measure chlorophyll-a that is extracted from lettuce leaves into 95% (v/v) ethanol. Multiple readings of 70 differently concentrated samples were taken, and the corresponding impedances were measured using the proposed EIS system by varying frequency from 1.5 to 7.5 kHz. Pearson coefficient, variance inflation factor (VIF), and backward elimination were used to identify the significant component of the frequency. Finally, a multiple linear regression model with 11 features in the range of 2.3 kHz to 4.7 kHz was chosen based on the lowest root mean square error (RMSE) and mean absolute error (MAE). The results show high index of positive determination of chlorophyll-a with the coefficient of determination being 0.932, RMSE of 1.05 μgL -1 , and MAE of 0.904 μgL -1 .
ISSN:0049-6979
1573-2932
DOI:10.1007/s11270-021-05036-z