{"title":"Drug Resistance Testing Using Electrical Impedance Counting Method","authors":"Jindai Huang, Dianchen Zhang","doi":"10.1109/ISBP57705.2023.10061299","DOIUrl":null,"url":null,"abstract":"Traditional methods for testing drug sensitivity values include broth dilution methods including micro broth dilution and macro broth dilution methods, agar dilution methods, E-test methods and paper diffusion methods[1]. These traditional methods have a common shortcoming, that is, the test often takes a long time to obtain drug sensitivity results, which can lead to missed diagnosis, misdiagnosis and delayed treatment.This paper describes how the electrical impedance counting method was used for the study of drug sensitivity testing and what advantages it has over traditional drug sensitivity testing. The impedance counting method still uses the broth dilution method and the existing parameter MIC (minimum inhibitory concentration)[1], which is the most relied upon parameter to guide the use of antibiotics, as an indicator, with the Coulter principle[2] technique as the underlying principle, and the IT system to collect, process and analyze the data. The MIC values were obtained by calculating the number of bacteria at different doses of antibiotics, analyzing the graphical changes such as growth indices, using software algorithms and referring to the CLSI M100[3] standard to discriminate the drug susceptibility of bacteria. The results show that the electrical impedance counting method will provide us with a more rapid and effective method for drug sensitivity analysis, and can be used in medical institutions and related medical industries for drug sensitivity analysis, which is of great significance for rapid and accurate clinical drug use and new antibiotic research.","PeriodicalId":309634,"journal":{"name":"2023 International Conference on Intelligent Supercomputing and BioPharma (ISBP)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Intelligent Supercomputing and BioPharma (ISBP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISBP57705.2023.10061299","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Traditional methods for testing drug sensitivity values include broth dilution methods including micro broth dilution and macro broth dilution methods, agar dilution methods, E-test methods and paper diffusion methods[1]. These traditional methods have a common shortcoming, that is, the test often takes a long time to obtain drug sensitivity results, which can lead to missed diagnosis, misdiagnosis and delayed treatment.This paper describes how the electrical impedance counting method was used for the study of drug sensitivity testing and what advantages it has over traditional drug sensitivity testing. The impedance counting method still uses the broth dilution method and the existing parameter MIC (minimum inhibitory concentration)[1], which is the most relied upon parameter to guide the use of antibiotics, as an indicator, with the Coulter principle[2] technique as the underlying principle, and the IT system to collect, process and analyze the data. The MIC values were obtained by calculating the number of bacteria at different doses of antibiotics, analyzing the graphical changes such as growth indices, using software algorithms and referring to the CLSI M100[3] standard to discriminate the drug susceptibility of bacteria. The results show that the electrical impedance counting method will provide us with a more rapid and effective method for drug sensitivity analysis, and can be used in medical institutions and related medical industries for drug sensitivity analysis, which is of great significance for rapid and accurate clinical drug use and new antibiotic research.