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A smartphone-based multichannel magnetoelastic immunosensor for acute aortic dissection supplementary diagnosis

Authors
Cao, YunmeiWang, QiannanHan, MengshuZhang, YunxuanYuan, ZhongyunZhuo, KaiZhang, HongpengXing, ZhijinJin, HuZhao, Chun
Issue Date
Jan-2025
Publisher
Elsevier B.V.
Keywords
CRP; D-D; Multichannel ME immunosensor; Smartphone-based; SmMHC; Supplementary diagnosis
Citation
Talanta, v.281, pp 1 - 10
Pages
10
Indexed
SCIE
SCOPUS
Journal Title
Talanta
Volume
281
Start Page
1
End Page
10
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/120647
DOI
10.1016/j.talanta.2024.126915
ISSN
0039-9140
1873-3573
Abstract
Some biomarkers of acute aortic dissection (AAD) can be used for the potential supplementary diagnosis of AAD, such as C-reactive protein (CRP), smooth muscle myosin heavy chain (SmMHC), and D-dimer (D-D). However, the current measurement methods for common markers primarily rely on sophisticated instruments. The operation process is complicated, and the reagents used are expensive. To provide chronic disease monitoring and home self-examination services for potential AAD patients in real time, we developed a smartphone-based multichannel magnetoelastic (ME) immunosensing device to detect protein levels. Our immunosensor reduced the aforementioned restrictions and demonstrated excellent performance for the supplementary diagnosis of AAD. In this paper, we successfully combined the intelligent terminal with the hardware system to sample the resonance frequency shift (RFS) on the multichannel ME immunosensor. According to the target detection objects with their respective antibodies in the immune binding response, multiple experiments were conducted to detect multiple groups of samples, and we found that a CRP concentration, a SmMHC concentration, and a D-D concentration in the range of 0.1−100 μg/mL, 1−4 ng/mL, and 0.25−5 μg/mL were linearly proportional to the RFS of the ME immunosensor, respectively. For CRP, SmMHC, and D-D, the sensitivities were 13.37 Hz/μg∙mL‐1, 155.19 Hz/ng∙mL‐1, and 332.72 Hz/μg∙mL‐1, respectively, and the detection limits were 2.634×10‐3 μg/mL, 1.155×10‐2 ng/mL, and 3.687×10‐3 μg/mL, respectively. The experiments demonstrated that the accuracy and stability of our device were comparable to those of the vector network analyzer (VNA, Calibration instrument). © 2024 Elsevier B.V.
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