Quoc-Thinh Dinh , Pei-Yun Yu , Srishti Sen , Wen-Chien Chuang , Wei-Yu Chen , Cheng-Yang Liu
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引用次数: 0
Abstract
Cholesterol levels serve as a critical biomarker for the diagnosis of cardiovascular diseases. However, conventional detection methods are often time-consuming and reliant on specialized laboratory equipment. In this study, we present a novel microfluidic lab-on-a-chip platform designed for the rapid and accurate detection of cholesterol, employing an enzyme-doped agarose hydrogel combined with colorimetric analysis. The chip incorporates sensing zones of varying lengths (4 mm, 5 mm, and 6 mm), enabling multiple optical measurements from a single sample. By integrating optical absorbance with RGB imaging, the system achieves high sensitivity and specificity, with a detection limit as low as 0.0065 mM and a sensitivity of 0.411 absorbance/mM. The chip design features microlenses and optical fibers to enhance light transmission and promote smooth fluid flow. Requiring only 10 μL of sample, the platform is both minimally invasive and highly efficient. Validation experiments using serum and whole blood samples demonstrate excellent recovery rates (95.8 %–110.6 %) and high precision (relative standard deviation, RSD <3.54 %). This portable, cost-effective device offers a reliable solution for routine cholesterol monitoring and early cardiovascular risk assessment.
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.