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Development of quantitative detection methods for four Alzheimer's disease specific biomarker panels using electrochemical immunosensors based on enzyme immunoassay.
Park, Il Kyu; Choi, Young Sun; Jo, Seo Yun.
Affiliation
  • Park IK; JHK Medical Science Inc., Yuseong-gu, Daejeon, 34013, Republic of Korea.
  • Choi YS; JHK Medical Science Inc., Yuseong-gu, Daejeon, 34013, Republic of Korea.
  • Jo SY; JHK Medical Science Inc., Yuseong-gu, Daejeon, 34013, Republic of Korea. ceo@jhkms.co.kr.
Anal Sci ; 2024 Jun 17.
Article in En | MEDLINE | ID: mdl-38884905
ABSTRACT
Accurate and timely diagnosis of Alzheimer's disease (AD) is necessary to maximize the effectiveness of treatment and using biomarkers for diagnosis is attracting attention as a minimally invasive method with few side effects. Electrochemical immunosensor (EI) is a method that is in the spotlight in the medical and bioanalytical fields due to its portability and field usability. Here, we quantified four AD specific biomarkers using EIs based on enzyme immunoassay. We selected and developed quantitative methods for the biomarkers using screen-printed gold electrodes. For three biomarkers, quantification was performed using competition immunoassays in which antigen-antibody premix mixtures were applied to antigen-immobilized electrodes and the limit of detection (LOD) values were secured, 1.20 ng/ml, 1.30 ng/ml, and 1.74 ng/ml, respectively. For the other, a sandwich immunoassay using antibody pair was selected for quantification and LOD was also achieved as 0.077 ng/ml. All four biomarkers in buffer samples were successfully quantified and reliable R2 values were obtained, and reliable calibration curves were secured for three biomarkers in spiked human serum samples. The immunosensors developed and will be optimized are expected to be used in various fields, including detection of biomarkers for not only AD but also related diseases.
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Full text: 1 Database: MEDLINE Language: En Year: 2024 Type: Article

Full text: 1 Database: MEDLINE Language: En Year: 2024 Type: Article