Mingyuan Zou , Gulinaizhaer Abudushalamu , Chuankun Yang , Guoqiu Wu
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引用次数: 0
Abstract
This study introduces a high-sensitivity single-molecule signal amplification approach for detecting high-risk HPV mRNA, utilizing a fluorescent microarray platform (FMP) based on modified entropy-driven chain substitution (EDC). Tailored for the high-throughput detection of 13 high-risk HPV types, the FMP enables concurrent identification of both single and multiple infections, including critical targets HPV16 and HPV18. Clinical validation revealed that the platform achieved over 90 % sensitivity and specificity, with detection sensitivity for HPV16 and HPV18 E6/E7 mRNA surpassing 95 % and specificity nearing 100 %. In samples with multiple HPV infections, the FMP accurately distinguished coexisting types without cross-reactivity, demonstrating its robustness for complex infection profiles. This fluorescence-based platform presents a scalable, precise solution for large-scale HPV screening and diagnostics, especially in resource-constrained environments.
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.