Analytica chimica acta · 2026
Mussel-inspired molecular strategy for ultrasensitive detection of multiple chiral molecules.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Liu Yanhong, Li Yang, Suo Chengcheng, Li Wei, Luo Sha, Ma Chunhui, Liu Shouxin
Аннотация
Chiral recognition in racemic mixtures remains a critical challenge in life and environmental sciences, while the practical development of chiral electrochemical sensors is often restricted by complicated fabrication processes and insufficient signal transduction. Herein, a chiral electrochemical recognizer was developed by integrating molecular imprinting with mussel-inspired dopamine chemistry, using biomass-derived porous carbon as a conductive scaffold to achieve both high enantioselectivity and enhanced electrochemical response. Benefiting from the strong interfacial adhesion of dopamine, the imprinted layer was stably immobilized on the electrode surface without additional binders, generating stereospecific cavities complementary to target enantiomers. Meanwhile, the porous carbon framework, featuring a high specific surface area and abundant microporous structure, facilitated rapid electron and mass transfer and thus markedly enhances signal output. The fabricated sensor delivered reliable enantioselective recognition in both aqueous and ethanolic media. Specifically, for l-tryptophan (L-Trp), the platform exhibited a linear range of 0.1-10000 μg L-1 with a LOD of 25.32 μg L-1. For other amino acids, such as d-ascorbic acid, L-ascorbic acid, R-limonene, and S-limonene, the platform demonstrated a linear range of 0.1-1000 μg L-1 (R2 > 0.982), with LODs of 73.36 μg L-1, 40.31 μg L-1, 71.97 μg L-1, and 99.13 μg L-1, respectively. Furthermore, when applied to real food samples, including soybean flour and milk powder, the platform achieved satisfactory recoveries ranging from 83.8% to 112.0%. These results highlight the broad applicability of the platform for detecting chiral molecules in both model compounds and real-world food samples.