Towards optimization of plant cell detection in suspensions using impedance-based analyses and the unified equivalent circuit model
Abstract An improved approach for comparative study of plant cells for long term and continuous monitoring using electrical impedance spectroscopy is demonstrated for tomato and tobacco plant cells (MSK8 and BY2) in suspensions. This approach is based on the locations and magnitudes of defining feat...
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2021
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oai:doaj.org-article:b062c0c9583540b795d26d69fd68ff5b2021-12-02T18:51:35ZTowards optimization of plant cell detection in suspensions using impedance-based analyses and the unified equivalent circuit model10.1038/s41598-021-98901-02045-2322https://doaj.org/article/b062c0c9583540b795d26d69fd68ff5b2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98901-0https://doaj.org/toc/2045-2322Abstract An improved approach for comparative study of plant cells for long term and continuous monitoring using electrical impedance spectroscopy is demonstrated for tomato and tobacco plant cells (MSK8 and BY2) in suspensions. This approach is based on the locations and magnitudes of defining features in the impedance spectra of the recently reported unified equivalent circuit model. The ultra-wide range (4 Hz to 20 GHz) impedance spectra of the cell lines were measured using custom probes, and were analyzed using the unified equivalent circuit model, highlighting significant negative phase peaks in the ~ 1 kHz to ~ 10 MHz range. These peaks differ between the tomato and tobacco cells, and since they can be easily defined, they can potentially be used as the signal for differentiating between different cell cultures or monitoring them over time. These findings were further analysed, showing that ratios relating the resistances of the media and the resistance of the cells define the sensitivity of the method, thus affecting its selectivity. It was further shown that cell agglomeration is also an important factor in the impedance modeling in addition to the overall cell concentration. These results can be used for optimizing and calibrating electrical impedance spectroscopy-based sensors for long term monitoring of cell lines in suspension for a given specific cell and media types.Kian Kadan-JamalAakash JogMarios SophocleousJulius GeorgiouAdi AvniYosi Shacham-DiamandNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-7 (2021) |
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Medicine R Science Q Kian Kadan-Jamal Aakash Jog Marios Sophocleous Julius Georgiou Adi Avni Yosi Shacham-Diamand Towards optimization of plant cell detection in suspensions using impedance-based analyses and the unified equivalent circuit model |
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Abstract An improved approach for comparative study of plant cells for long term and continuous monitoring using electrical impedance spectroscopy is demonstrated for tomato and tobacco plant cells (MSK8 and BY2) in suspensions. This approach is based on the locations and magnitudes of defining features in the impedance spectra of the recently reported unified equivalent circuit model. The ultra-wide range (4 Hz to 20 GHz) impedance spectra of the cell lines were measured using custom probes, and were analyzed using the unified equivalent circuit model, highlighting significant negative phase peaks in the ~ 1 kHz to ~ 10 MHz range. These peaks differ between the tomato and tobacco cells, and since they can be easily defined, they can potentially be used as the signal for differentiating between different cell cultures or monitoring them over time. These findings were further analysed, showing that ratios relating the resistances of the media and the resistance of the cells define the sensitivity of the method, thus affecting its selectivity. It was further shown that cell agglomeration is also an important factor in the impedance modeling in addition to the overall cell concentration. These results can be used for optimizing and calibrating electrical impedance spectroscopy-based sensors for long term monitoring of cell lines in suspension for a given specific cell and media types. |
format |
article |
author |
Kian Kadan-Jamal Aakash Jog Marios Sophocleous Julius Georgiou Adi Avni Yosi Shacham-Diamand |
author_facet |
Kian Kadan-Jamal Aakash Jog Marios Sophocleous Julius Georgiou Adi Avni Yosi Shacham-Diamand |
author_sort |
Kian Kadan-Jamal |
title |
Towards optimization of plant cell detection in suspensions using impedance-based analyses and the unified equivalent circuit model |
title_short |
Towards optimization of plant cell detection in suspensions using impedance-based analyses and the unified equivalent circuit model |
title_full |
Towards optimization of plant cell detection in suspensions using impedance-based analyses and the unified equivalent circuit model |
title_fullStr |
Towards optimization of plant cell detection in suspensions using impedance-based analyses and the unified equivalent circuit model |
title_full_unstemmed |
Towards optimization of plant cell detection in suspensions using impedance-based analyses and the unified equivalent circuit model |
title_sort |
towards optimization of plant cell detection in suspensions using impedance-based analyses and the unified equivalent circuit model |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/b062c0c9583540b795d26d69fd68ff5b |
work_keys_str_mv |
AT kiankadanjamal towardsoptimizationofplantcelldetectioninsuspensionsusingimpedancebasedanalysesandtheunifiedequivalentcircuitmodel AT aakashjog towardsoptimizationofplantcelldetectioninsuspensionsusingimpedancebasedanalysesandtheunifiedequivalentcircuitmodel AT mariossophocleous towardsoptimizationofplantcelldetectioninsuspensionsusingimpedancebasedanalysesandtheunifiedequivalentcircuitmodel AT juliusgeorgiou towardsoptimizationofplantcelldetectioninsuspensionsusingimpedancebasedanalysesandtheunifiedequivalentcircuitmodel AT adiavni towardsoptimizationofplantcelldetectioninsuspensionsusingimpedancebasedanalysesandtheunifiedequivalentcircuitmodel AT yosishachamdiamand towardsoptimizationofplantcelldetectioninsuspensionsusingimpedancebasedanalysesandtheunifiedequivalentcircuitmodel |
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1718377405818601472 |