Simple and rapid detection of DNase I for diagnosing myocardial infarction using a microbead dielectrophoresis-based DNA detection approach

被引:0
|
作者
Nakano, Michihiko [1 ]
Asahi, Kohki [2 ]
Inaba, Masafumi [1 ]
Suehiro, Junya [1 ]
机构
[1] Kyushu Univ, Fac Informat Sci & Elect Engn, Fukuoka 8190395, Japan
[2] Kyushu Univ, Grad Sch Informat Sci & Elect Engn, Fukuoka 8190395, Japan
基金
日本学术振兴会;
关键词
acute myocardial infarction; DNase I; dielectrophoresis; biomarkers; DNA-based biosensor; GOLD NANOPARTICLES; ASSAY; SENSITIVITY; BIOSENSOR;
D O I
10.35848/1347-4065/adad80
中图分类号
O59 [应用物理学];
学科分类号
摘要
Rapid diagnosis of acute myocardial infarction (AMI) is crucial for initiating timely medical treatment in the early stages following symptom onset, thereby improving patient outcomes. This study introduces a novel method for the swift detection of DNase I activity, a recognized biomarker for AMI diagnosis. Employing a microbead dielectrophoresis (DEP)-based DNA detection technique, DNase I activity was quantified through changes in the DEP properties of DNA-labeled microbeads. The measurements were performed using a dielectrophoretic impedance measurement. The proposed method exhibited high sensitivity, detecting DNase I activity as low as 10-4 and 10(-)5 U within reaction times of 10 and 30 min, respectively. Compared to conventional methods such as enzyme-linked immunosorbent assay and single radial enzyme diffusion, this approach is faster and more straightforward. A proof-of-concept demonstration further highlights the potential of this method for rapid and accurate AMI diagnosis.
引用
收藏
页数:5
相关论文
共 50 条
  • [21] DNase I treated DNA-PCR based detection of food pathogens immobilized by metal hydroxides
    Huong Thi Thu Do
    Alfredo J. Anceno
    Sudip K. Rakshit
    World Journal of Microbiology and Biotechnology, 2009, 25 (8) : 1497 - 1497
  • [22] DNase I treated DNA-PCR based detection of food pathogens immobilized by metal hydroxides
    Huong Thi Thu Do
    Alfredo J. Anceno
    Sudip K. Rakshit
    World Journal of Microbiology and Biotechnology, 2009, 25 : 1491 - 1495
  • [23] Simple detection of point mutations in DNA oligonucleotides using SYBR Green I
    Tatsuo Maruyama
    Tomoaki Takata
    Hirofumi Ichinose
    Lian-Chun Park
    Noriho Kamaiya
    Masahiro Goto
    Biotechnology Letters, 2003, 25 : 1637 - 1641
  • [24] Simple detection of point mutations in DNA oligonucleotides using SYBR Green I
    Maruyama, T
    Takata, T
    Ichinose, H
    Park, LC
    Kamaiya, N
    Goto, M
    BIOTECHNOLOGY LETTERS, 2003, 25 (19) : 1637 - 1641
  • [25] Rapid Detection of Fusarium oxysporum Using Insulated Isothermal PCR and a Rapid, Simple DNA Preparation Protocol
    Chang, Tsai-De
    Huang, Li-Nian
    Lin, Yi-Jia
    Wu, Zhong-Bin
    Tsai, Shang-Han
    Lin, Ying-Hong
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (21)
  • [26] Potential for rapid detection of acute myocardial infarction using an intracardiac (right-ventricular) electrode-based system
    Fischell, TA
    Fischell, DR
    Lauer, MA
    Mirza, RA
    Baskerville, S
    Hendrick, S
    Moshier, C
    Harwood, JP
    AMERICAN JOURNAL OF CARDIOLOGY, 2003, 92 (6A): : 110L - 111L
  • [27] Rapid and sensitive DNA target detection using enzyme amplified electrochemical detection based on microchip
    Cao, Wei
    Su, Mingming
    Zhang, Shusheng
    ELECTROPHORESIS, 2010, 31 (04) : 659 - 665
  • [28] Inferior myocardial infarction detection using stationary wavelet transform and machine learning approach
    Sharma, Lakhan Dev
    Sunkaria, Ramesh Kumar
    SIGNAL IMAGE AND VIDEO PROCESSING, 2018, 12 (02) : 199 - 206
  • [29] Inferior myocardial infarction detection using stationary wavelet transform and machine learning approach
    Lakhan Dev Sharma
    Ramesh Kumar Sunkaria
    Signal, Image and Video Processing, 2018, 12 : 199 - 206
  • [30] Minimum Skewness based Myocardial Infarction Detection Model using Classification Algorithms
    Tewalker, Satish Kumar
    Shukla, Ragini
    INTERNATIONAL JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING SYSTEMS, 2024, 15 (09) : 783 - 793