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Ratiometric Fluorescence Capillary Sensor-Integrated Molecular Imprinting for Simultaneous Detection of Two Biological Indicators of Parkinson’s Disease

Sisi Tang, Xiaodan Wu, Pengfei Zhao, Kangling Tang, Yu Chen, Jinli Fu, Huibin Lei, Zhaoxia Yang, Zhaohui Zhang

2022Analytical Chemistry62 citationsDOI

Abstract

This work proposed ratiometric fluorescence capillary sensing system-integrated molecular imprinting with highly sensitive and selective detection for two biological indicators of Parkinson’s disease (homovanillic acid (HVA) and Al3+). In this research, the silicon carbon quantum dot and the near-infrared CdTe quantum dot as luminescence sources were doped to an imprinted layer, which was attached to the inner surface wall of an amino-functionalized capillary. The fluorescence emissions of the ratiometric fluorescence capillary-imprinted sensor at 434 and 707 nm were quenched by HVA, and only the fluorescence emission at 434 nm was quenched by Al3+. Ratiometric fluorescence capillary sensing system-integrated molecular imprinting was used to detect simultaneously HVA and Al3+ with linearity over 1.0 × 10–9–2.5 × 10–7 and 1.0 × 10–9–1.1 × 10–7 M, respectively. The sensor showcased detection limitations of 8.7 × 10–10 and 9.8 × 10–10 M, indicating that the ratiometric fluorescence capillary sensing system-integrated molecular imprinting had great potential application for detecting HVA and Al3+ in serum and urine samples. The ratiometric fluorescence capillary sensing system-integrated molecular imprinting achieved highly sensitive and selective detection of HVA and Al3+ with a microvolume test dosage of 18 μL, which provided a new way for early diagnosis and disease monitoring of Parkinson’s disease.

Topics & Concepts

ChemistryFluorescenceMolecular imprintingCapillary actionAnalytical Chemistry (journal)Detection limitChromatographySelectivityBiochemistryMaterials scienceComposite materialCatalysisPhysicsQuantum mechanicsAdvanced biosensing and bioanalysis techniquesCarbon and Quantum Dots ApplicationsBiosensors and Analytical Detection