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Light-addressable sandwich photoelectrochemical immunosensor array and lateral flow immunoassays with self-calibration using quantum dots-sensitized and porphyrin-engineered MOFs for accurate detection of amyloid β-proteins.

PubMed
Authors: Wang L, Niu J, Chen X, Zhu Y, Hou X

Year

2026

Paper ID

4587

Status

Peer-reviewed

Abstract Read

~2 min

Abstract Words

237

Citations

1

Abstract

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by the accumulation of amyloid-beta (Aβ) plaques, making Aβ a crucial biomarker for early diagnosis. In this study, we developed a novel light-addressable sandwich photoelectrochemical (PEC) immunosensor array for the detection of Aβ42, aiming to enhance diagnostic methods for AD. The array utilized cadmium telluride quantum dot-sensitized UiO-66 (U@C) as the sensing matrix and PCN-224@ZnInS nanoflower heterojunctions (P@Z) as immunoprobes, enabling multiplexed detection through laser pen activation on a single FTO electrode with a self-calibration method to minimize background noise and baseline drift. The assay required 60 min for incubation steps before detection; however, with 11 simultaneous detection points, it significantly reduced batch processing time and enhanced practicality. For point-of-care applications, we also developed a PEC-lateral flow immunoassay (PEC-LFIA) test strip that allowed for real-time, quantitative detection of Aβ42 with only 15 min of incubation required for testing. Both platforms effectively detected Aβ42 in PBS, artificial cerebrospinal fluid (CSF), and human plasma at concentrations ranging from fg/mL to ng/mL. Notably, sensitivity in human plasma was five times greater than that in artificial CSF. The PEC array achieved detection limits of 19.5 fg/mL in CSF and 3.1 fg/mL in plasma, while the PEC-LFIA strip demonstrated limits of 17.8 fg/mL in CSF and 3.1 fg/mL in human plasma. These advancements significantly reduced patient burden and brought us closer to utilizing a single drop of blood for monitoring brain aging.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2026 reference point for readers tracking recent quantum research.
  • Alzheimer's disease (AD) is a neurodegenerative disorder characterized by the accumulation of amyloid-beta (Aβ) plaques, making Aβ a crucial biomarker for early diagnosis.

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