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Ang BJ, Suardi N, Ong EBB, Khasim SNH, Gemanam SJ, Mustafa IS, Fong JH. Exploring the role of impedance spectroscopy in assessing 405 nm laser-induced inactivation of saccharomyces cerevisiae. Photochem Photobiol Sci 2024; 23:931-940. [PMID: 38592591 DOI: 10.1007/s43630-024-00564-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 03/12/2024] [Indexed: 04/10/2024]
Abstract
Impedance spectroscopy was employed to assess the electrical properties of yeast following 405 nm laser irradiation, exploring the effects of visible, non-ionizing laser-induced inactivation as a more selective and safer alternative for photoinactivation applications compared to the use of DNA targeting, ionizing UV light. Capacitance and impedance spectra were obtained for yeast suspensions irradiated for 10, 20, 30, and 40 min using 100 and 200 mW laser powers. Noticeable differences in capacitance spectra were observed at lower frequencies (40 Hz to 1 kHz), with a significant increase at 40 min for both laser powers. β-dispersion was evident in the impedance spectra in the frequency range of 10 kHz to 10 MHz. The characteristic frequency of dielectric relaxation steadily shifted to higher frequencies with increasing irradiation time, with a drastic change observed at 40 min for both laser powers. These changes signify a distinct alteration in the physical state of yeast. A yeast spot assay demonstrated a decrease in cell viability with increasing laser irradiation dose. The results indicate a correlation between changes in electrical properties, cell viability, and the efficacy of 405 nm laser-induced inactivation. Impedance spectroscopy is shown to be an efficient, non-destructive, label-free method for monitoring changes in cell viability in photobiological effect studies. The development of impedance spectroscopy-based real-time studies in photoinactivation holds promise for advancing our understanding of light-cell interactions in medical applications.
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Affiliation(s)
- Beng Jiong Ang
- School of Physics, Universiti Sains Malaysia, 11800, Penang, Malaysia
| | - Nursakinah Suardi
- School of Physics, Universiti Sains Malaysia, 11800, Penang, Malaysia.
| | - Eugene Boon Beng Ong
- Institute for Research in Molecular Medicine, Universiti Sains Malaysia, 11800, Penang, Malaysia.
| | | | | | | | - Jing Heng Fong
- Institute for Research in Molecular Medicine, Universiti Sains Malaysia, 11800, Penang, Malaysia
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Sun S, Ma Q, Sheng Q, Huang S, Wu C, Liu J, Xu J. Amyloid-β Oligomer-Induced Electrophysiological Mechanisms and Electrical Impedance Changes in Neurons. SENSORS (BASEL, SWITZERLAND) 2024; 24:1211. [PMID: 38400369 PMCID: PMC10892449 DOI: 10.3390/s24041211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 02/04/2024] [Accepted: 02/10/2024] [Indexed: 02/25/2024]
Abstract
Amyloid plays a critical role in the pathogenesis of Alzheimer's disease (AD) and can aggregate to form oligomers and fibrils in the brain. There is increasing evidence that highly toxic amyloid-β oligomers (AβOs) lead to tau protein aggregation, hyperphosphorylation, neuroinflammation, neuronal loss, synaptic loss, and dysfunction. Although the effects of AβOs on neurons have been investigated using conventional biochemical experiments, there are no established criteria for electrical evaluation. To this end, we explored electrophysiological changes in mouse hippocampal neurons (HT22) following exposure to AβOs and/or naringenin (Nar, a flavonoid compound) using electrical impedance spectroscopy (EIS). AβO-induced HT22 showed a decreased impedance amplitude and increased phase angle, and the addition of Nar reversed these changes. The characteristic frequency was markedly increased with AβO exposure, which was also reversed by Nar. The AβOs decreased intranuclear and cytoplasmic resistance and increased nucleus resistance and extracellular capacitance. Overall, the innovative construction of the eight-element CPE-equivalent circuit model further reflects that the pseudo-capacitance of the cell membrane and cell nucleus was increased in the AβO-induced group. This study conclusively revealed that AβOs induce cytotoxic effects by disrupting the resistance characteristics of unit membranes. The results further support that EIS is an effective technique for evaluating AβO-induced neuronal damage and microscopic electrical distinctions in the sub-microscopic structure of reactive cells.
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Affiliation(s)
- Shimeng Sun
- Department of Physiology and Pharmacology, Health Science Center, Ningbo University, Ningbo 315211, China; (S.S.); (Q.M.); (Q.S.); (S.H.); (C.W.)
| | - Qing Ma
- Department of Physiology and Pharmacology, Health Science Center, Ningbo University, Ningbo 315211, China; (S.S.); (Q.M.); (Q.S.); (S.H.); (C.W.)
| | - Qiyu Sheng
- Department of Physiology and Pharmacology, Health Science Center, Ningbo University, Ningbo 315211, China; (S.S.); (Q.M.); (Q.S.); (S.H.); (C.W.)
| | - Shangwei Huang
- Department of Physiology and Pharmacology, Health Science Center, Ningbo University, Ningbo 315211, China; (S.S.); (Q.M.); (Q.S.); (S.H.); (C.W.)
| | - Chenxia Wu
- Department of Physiology and Pharmacology, Health Science Center, Ningbo University, Ningbo 315211, China; (S.S.); (Q.M.); (Q.S.); (S.H.); (C.W.)
| | - Junsong Liu
- State Key Laboratory of Superhard Materials, College of Physics, Jilin University, Changchun 130012, China
| | - Jia Xu
- Department of Physiology and Pharmacology, Health Science Center, Ningbo University, Ningbo 315211, China; (S.S.); (Q.M.); (Q.S.); (S.H.); (C.W.)
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Raj M K, Priyadarshani J, Karan P, Bandyopadhyay S, Bhattacharya S, Chakraborty S. Bio-inspired microfluidics: A review. BIOMICROFLUIDICS 2023; 17:051503. [PMID: 37781135 PMCID: PMC10539033 DOI: 10.1063/5.0161809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 09/01/2023] [Indexed: 10/03/2023]
Abstract
Biomicrofluidics, a subdomain of microfluidics, has been inspired by several ideas from nature. However, while the basic inspiration for the same may be drawn from the living world, the translation of all relevant essential functionalities to an artificially engineered framework does not remain trivial. Here, we review the recent progress in bio-inspired microfluidic systems via harnessing the integration of experimental and simulation tools delving into the interface of engineering and biology. Development of "on-chip" technologies as well as their multifarious applications is subsequently discussed, accompanying the relevant advancements in materials and fabrication technology. Pointers toward new directions in research, including an amalgamated fusion of data-driven modeling (such as artificial intelligence and machine learning) and physics-based paradigm, to come up with a human physiological replica on a synthetic bio-chip with due accounting of personalized features, are suggested. These are likely to facilitate physiologically replicating disease modeling on an artificially engineered biochip as well as advance drug development and screening in an expedited route with the minimization of animal and human trials.
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Affiliation(s)
- Kiran Raj M
- Department of Applied Mechanics and Biomedical Engineering, Indian Institute of Technology Madras, Chennai, Tamil Nadu 600036, India
| | - Jyotsana Priyadarshani
- Department of Mechanical Engineering, Biomechanics Section (BMe), KU Leuven, Celestijnenlaan 300, 3001 Louvain, Belgium
| | - Pratyaksh Karan
- Géosciences Rennes Univ Rennes, CNRS, Géosciences Rennes, UMR 6118, 35000 Rennes, France
| | - Saumyadwip Bandyopadhyay
- Advanced Technology Development Centre, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India
| | - Soumya Bhattacharya
- Achira Labs Private Limited, 66b, 13th Cross Rd., Dollar Layout, 3–Phase, JP Nagar, Bangalore, Karnataka 560078, India
| | - Suman Chakraborty
- Department of Mechanical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India
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Effective Capacitance from Equivalent Electrical Circuit as a Tool for Monitoring Non-Adherent Cell Suspensions at Low Frequencies. Bioengineering (Basel) 2022; 9:bioengineering9110697. [DOI: 10.3390/bioengineering9110697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 11/02/2022] [Accepted: 11/09/2022] [Indexed: 11/19/2022] Open
Abstract
Analyzing the electrical double layer (EDL) in electrical impedance spectroscopy (EIS) measurement at low frequencies remains a challenging task for sensing purposes. In this work, we propose two approaches to deal with the EDL in measuring impedance for particles and non-adherent cells in an electrolytic suspension. The first approach is a simple procedure to compute a normalized electrical impedance spectrum named dispersed medium index (DMi). The second is the EIS modeling through an equivalent electric circuit based on the so-called effective capacitance (Cef), which unifies the EDL phenomena. Firstly, as an experiment under controlled conditions, we examine polymer particles of 6, 15, and 48 μm in diameter suspended in a 0.9% sodium chloride solution. Subsequently, we used K-562 cells and leukocytes suspended in a culture medium (RPMI-1640 supplemented) for a biological assay. As the main result, the DMi is a function of the particle concentration. In addition, it shows a tendency with the particle size; regardless, it is limited to a volume fraction of 0.03 × 10−4 to 58 × 10−4. The DMi is not significantly different between K-562 cells and leukocytes for most concentrations. On the other hand, the Cef exhibits high applicability to retrieve a function that describes the concentration for each particle size, the K-562 cells, and leukocytes. The Cef also shows a tendency with the particle size without limitation within the range tested, and it allows distinction between the K-562 and leukocytes in the 25 cells/µL to 400 cells/µL range. We achieved a simple method for determining an Cef by unifying the parameters of an equivalent electrical circuit from data obtained with a conventional potentiostat. This simple approach is affordable for characterizing the population of non-adherent cells suspended in a cell culture medium.
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A Novel Genetic Neural Network Algorithm with Link Switches and Its Application in University Professional Course Evaluation. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022; 2022:9564443. [PMID: 35655522 PMCID: PMC9155964 DOI: 10.1155/2022/9564443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 04/26/2022] [Indexed: 11/18/2022]
Abstract
This study exploits a novel enhanced genetic neural network algorithm with link switches (EGA-NNLS) to model the professional university course evaluating system. Various indices should be employed to evaluate the learning effect of a professional course comprehensively and objectively, and the traditional artificial evaluation methods cannot achieve this goal. The presented data-driven modeling method, EGA-NNLS, combines a neural network with link switches (NN-LS) with an enhanced genetic algorithm (EGA) and the Levenberg-Marquardt (LM) algorithm. It employs an optimized network structure combined with EGA and NN-LS to learn the relationships between the system's input and output from historical data and uses the network's gradient information via the LM algorithm. Compared with the traditional backpropagation neural network (BPNN), EGA-NNLS achieves a faster convergence speed and higher evaluation precision. In order to verify the efficiency of EGA-NNLS, it is applied to a collection of experimental data for modeling the professional university course evaluating system.
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