ECIS-based biosensors for real-time monitor and classification of the intestinal epithelial barrier damages

Shen, Huan; Duan, Muqing; Gao, Jingxia; Wu, Yiming; Jiang, Qian; Wu, Jiandong; Li, Xilong; Jiang, Shijian; Ma, Xiaokang; Wu, Miaomiao; Tan, Bin; Yin, Yulong

doi:10.1016/j.jelechem.2022.116334

Cited by 3 publications

(1 citation statement)

References 24 publications

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“…In recent years, a plethora of scholars have conducted research on monitoring the growth of a cell culture (CC) assay to develop noninvasive, cheap, and robust techniques [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 ]. Biomedical setups have included toxicology assays [ 10 , 11 ], cancer characterization experiments [ 12 , 13 , 14 ], biochemical experiments [ 15 ], immune assays [ 16 ], stem cell differentiation protocols [ 17 ], etc., and scholars have sought to use these setups to quantify the number of cells present to characterize a diversity of research objectives and techniques [ 18 , 19 , 20 ]. The modeling of a biological sample (BS) allows one to know its electrical behavior and several useful parameters.…”

Section: Introductionmentioning

confidence: 99%

Predictive Cell Culture Time Evolution Based on Electric Models

et al. 2023

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Obtaining cell concentration measurements from a culture assay by using bioimpedance is a very useful method that can be used to translate impedances to cell concentration values. The purpose of this study was to find a method to obtain the cell concentration values of a given cell culture assay in real time by using an oscillator as the measurement circuit. From a basic cell–electrode model, enhanced models of a cell culture immersed in a saline solution (culture medium) were derived. These models were used as part of a fitting routine to estimate the cell concentration in a cell culture in real time by using the oscillation frequency and amplitude delivered by the measurement circuits proposed by previous authors. Using real experimental data (the frequency and amplitude of oscillations) that were obtained by connecting the cell culture to an oscillator as the load, the fitting routine was simulated, and real-time data of the cell concentration were obtained. These results were compared to concentration data that were obtained by using traditional optical methods for counting. In addition, the error that we obtained was divided and analyzed in two parts: the first part of the experiment (when the few cells were adapting to the culture medium) and the second part of the experiment (when the cells exponentially grew until they completely covered the well). Low error values were obtained during the growth phase of the cell culture (the relevant phase); therefore, the results obtained were considered promising and show that the fitting routine is valid and that the cell concentration can be measured in real time by using an oscillator.

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Section: Introductionmentioning

confidence: 99%

Predictive Cell Culture Time Evolution Based on Electric Models

et al. 2023

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Electrical capacitance-based cancer cell viability monitoring device for accelerated drug development

Park,

Kang,

Kwon

et al. 2024

Sensors and Actuators B: Chemical

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Predictive Cell-Culture Time-Evolution Based on Electric Models

Serrano¹,

Pérez²,

Daza³

et al. 2023

Preprint

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The cell concentration measurement on a culture assay using bioimpedance is a very useful tool, but it is complex to translate impedance to cell concentration values. The purpose of this work is to find a method to obtain in real time the cell concentration values for a given cell-culture assay using an oscillator as the measurement circuit. From a basic cell-electrode model, enhanced models of the cell culture immersed in a saline solution (culture medium) can be derived. These models can be used in a fitting routine to real time estimation of the cell concentration in a cell culture, using the oscillation frequency and amplitude delivered by measurement circuits proposed by the authors. Based on real experimental data (frequency and amplitude of oscillations) obtained by connecting the cell culture to an oscillator as a load, the fitting routine is simulated, and real time data of cell concentration is achieved. These results are compared with concentration data found by traditional optical methods for counting. In addition, the error obtained is divided and analyzed in two parts: in the first part of the experiment (when the few cells are adapting to the culture medium) and the second part of the experiment (when the cells grow exponentially until they completely cover the well).Low error values are obtained in the growth phase of the cell culture (the relevant phase), therefore the results obtained are considered to be promising, proving that the fitting routine is valid, and that the cell concentration can be measured in real time using an oscillator.

show abstract

ECIS-based biosensors for real-time monitor and classification of the intestinal epithelial barrier damages

Cited by 3 publications

References 24 publications

Predictive Cell Culture Time Evolution Based on Electric Models

Predictive Cell Culture Time Evolution Based on Electric Models

Electrical capacitance-based cancer cell viability monitoring device for accelerated drug development

Predictive Cell-Culture Time-Evolution Based on Electric Models

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