Precise wide-band electrical impedance spectroscopy measurement via an ADC operated below the Nyquist sampling rate

Measurement ◽  
2021 ◽  
Vol 174 ◽  
pp. 108995
Author(s):  
Fanghao Lu ◽  
Zhang Cao ◽  
Yixin Xie ◽  
Lijun Xu
Keyword(s):  
Impedance Spectroscopy ◽  
Electrical Impedance ◽  
Sampling Rate ◽  
Wide Band ◽  
Electrical Impedance Spectroscopy ◽  
Spectroscopy Measurement

A multichannel continuously selectable multifrequency electrical impedance spectroscopy measurement system

2000 ◽  
Vol 47 (1) ◽  
pp. 49-58 ◽  
Author(s):  
A. Hartov ◽  
R.A. Mazzarese ◽  
F.R. Reiss ◽  
T.E. Kerner ◽  
K.S. Osterman ◽  
...  
Keyword(s):  
Impedance Spectroscopy ◽  
Measurement System ◽  
Electrical Impedance ◽  
Electrical Impedance Spectroscopy ◽  
Spectroscopy Measurement

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

2021 ◽  
Vol 232 (2) ◽  
Author(s):  
Rakibul Islam Chowdhury ◽  
Rinku Basak ◽  
Khan Arif Wahid ◽  
Katy Nugent ◽  
Helen Baulch
Keyword(s):  
Impedance Spectroscopy ◽  
Chlorophyll A ◽  
Electrical Impedance ◽  
Electrical Impedance Spectroscopy

scholarly journals Study of Reduced Graphene Oxide Dispersions via Electrical Impedance Spectroscopy

2020 ◽  
Vol 28 ◽  
pp. 1679-1685
Author(s):  
Angeliki-Eirini Dimou ◽  
Ioanna Sakellariou ◽  
George M. Maistros ◽  
Nikolaos D. Alexopoulos
Keyword(s):  
Graphene Oxide ◽  
Impedance Spectroscopy ◽  
Reduced Graphene Oxide ◽  
Electrical Impedance ◽  
Electrical Impedance Spectroscopy ◽  
Reduced Graphene

scholarly journals Utilization of Electrical Impedance Spectroscopy and Image Classification for Non-Invasive Early Assessment of Meat Freshness

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 1001
Author(s):  
Sooin Huh ◽  
Hye-Jin Kim ◽  
Seungah Lee ◽  
Jinwoo Cho ◽  
Aera Jang ◽  
...  
Keyword(s):  
Impedance Spectroscopy ◽  
Prediction Accuracy ◽  
Electrical Impedance ◽  
Thiobarbituric Acid ◽  
Electrical Impedance Spectroscopy ◽  
Plate Count ◽  
Gradient Boosting ◽  
Composition Analysis ◽  
Early Assessment ◽  
Relative Standard

This study presents a system for assessing the freshness of meat with electrical impedance spectroscopy (EIS) in the frequency range of 125 Hz to 128 kHz combined with an image classifier for non-destructive and low-cost applications. The freshness standard is established by measuring the aerobic plate count (APC), 2-thiobarbituric acid reactive substances (TBARS), and composition analysis (crude fat, crude protein, and moisture) values of the microbiological detection to represent the correlation between EIS and meat freshness. The EIS and images of meat are combined to predict the freshness with the Adaboost classification and gradient boosting regression algorithms. As a result, when the elapsed time of beef storage for 48 h is classified into three classes, the time prediction accuracy is up to 85% compared to prediction accuracy of 56.7% when only images are used without EIS information. Significantly, the relative standard deviation (RSD) of APC and TBARS value predictions with EIS and images datum achieves 0.890 and 0.678, respectively.

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