In situ formation of boronic acid-based covalent organic frameworks for specific and ultra-sensitive electrochemical assay of glycosylated amyloid-beta proteins.
Yubing Lv, Yanli Zhou, Chunlan Li, Chaoran Lv, Hui Dong, Maotian Xu, Jing Zhang, Mei Yan
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引用次数: 0
Abstract
Alzheimer's disease (AD) significantly impacts the well-being of older people around the world. However, the accurate detection of glycosylated amyloid-beta (Aβ) proteins, which serve as important biomarkers for AD, remains challenging due to their extremely low levels. To address these issues, we proposed a method for fabricating a flexible and stable sensor platform based on an innovative boronic acid-based covalent organic framework COF-B(OH)2. After in situ formation on carbon cloth (CC) by facile interfacial perturbation, this CC-based COF substrate could further serve as an electrochemical platform for detecting glycosylated-Aβ16 via molecular interactions. The substrate offers abundant molecular recognition sites, a large specific surface area, and excellent electrical conductivity. Furthermore, poly(thymine)-templated copper nanoparticles (CuNPs) linked to the aptamer of glycosylated-Aβ16 were employed as electrochemical probes, providing an amplified signal. The proposed assay for the detection of glycosylated-Aβ16 proteins demonstrated a wide detection range of 5-1800 pg/mL, with an ultralow detection limit of 0.32 pg/mL and high stability. This research offers novel insights into the developing electrochemical biosensors for analyzing glycosylated protein, leveraging advanced COF-B(OH)2 materials.
期刊介绍：
Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome.
Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.
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