<p>In this study, a novel linear polyimide chain (PTCDA-DCH) was used as an electrochemiluminescence (ECL) emitter, employing a chiral metal-organic framework (MOF) (Zn-Dcam-dabco) as the chiral selector and ferrocene (Fc) as a quencher to construct a chiral sensor for detecting histidine (His) enantiomers. Competitive interactions between Fc and His induce partial Fc desorption from the sensor surface, leading to ECL signal recovery. Differential Fc release due to the distinct binding affinities of Zn-Dcam-dabco for His enantiomers enabled precise chiral discrimination. Notably, the sensor achieved the quantitative detection of His enantiomers with an limits of detection (LOD) of 8 µmol/L. Furthermore, the sensor demonstrated excellent recovery rates of 98.0%–104% for l-histidine (L-His) and 92.0%–95.9% for D-His in spiked milk samples, validating its reliability for real-sample analysis. This study provides a promising platform for ECL-based chiral recognition, bioanalysis, and the rapid assessment of amino acids in food products.</p>

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Metal-Organic Framework/Polyimide-Electrochemiluminescence Sensor for Enantioselective Detection of Histidine

  • Ye-Qian Ruan,
  • Xuan Kuang,
  • Rui Kuang

摘要

In this study, a novel linear polyimide chain (PTCDA-DCH) was used as an electrochemiluminescence (ECL) emitter, employing a chiral metal-organic framework (MOF) (Zn-Dcam-dabco) as the chiral selector and ferrocene (Fc) as a quencher to construct a chiral sensor for detecting histidine (His) enantiomers. Competitive interactions between Fc and His induce partial Fc desorption from the sensor surface, leading to ECL signal recovery. Differential Fc release due to the distinct binding affinities of Zn-Dcam-dabco for His enantiomers enabled precise chiral discrimination. Notably, the sensor achieved the quantitative detection of His enantiomers with an limits of detection (LOD) of 8 µmol/L. Furthermore, the sensor demonstrated excellent recovery rates of 98.0%–104% for l-histidine (L-His) and 92.0%–95.9% for D-His in spiked milk samples, validating its reliability for real-sample analysis. This study provides a promising platform for ECL-based chiral recognition, bioanalysis, and the rapid assessment of amino acids in food products.