4.8 Article

Using p-type PbS Quantum Dots to Quench Photocurrent of Fullerene-Au NP@MoS2 Composite Structure for Ultrasensitive Photoelectrochemical Detection of ATP

Journal

ACS APPLIED MATERIALS & INTERFACES
Volume 9, Issue 48, Pages 42111-42120

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsami.7b13894

Keywords

adenosine triphosphate; photoelectrochemical biosensor; fullerene decorated Au nanoparticle@MoS2; signal indicator; p-type PbS quantum dots; signal quencher

Funding

  1. NNSF of China [21675129, 51473136, 21575116]
  2. Fundamental Research Funds for the Central Universities, China [XDJK2015A002]

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Ultrasensitive and rapid quantification of the universal energy currency adenosine triphosphate (ATP) is an extremely critical mission in clinical applications. In this work, a signal-off photoelectrochemical (PEC) biosensor was designed for ultrasensitive ATP detection based on a fullerene (C-60)-decorated Au nanoparticle@MoS2 (C-60-Au NP@MoS2) composite material as a signal indicator and a p-type PbS quantum dot (QD) as an efficient signal quencher. Modification of wide band gap C-60 with narrow band gap MoS2 to form an ideal PEC signal indicator was proposed, which could significantly improve photocurrent conversion efficiency, leading to a desirable PEC signal. In the presence of p-type PbS QDs, the PEC signal of n-type C-60-Au NP@MoS2 was effectively quenched because p-type PbS QDs could compete with C-60-Au NP@MoS2 to consume light energy and electron donor. Besides, the conversion of a limited amount of target ATP into an amplified output PbS QD-labeled short DNA sequence (output S-1) was achieved via target-mediated aptazyme cycling amplification strategy, facilitating ultrasensitive ATP detection. The proposed signal-off PEC strategy exhibited a wide linear range from 1.00 x 10(-2) pM to 100 nM with a low detection limit of 3.30 fM. Importantly, this proposed strategy provides a promising platform to detect ATP at ultralow levels and has potential applications, including diagnosis of ATP-related diseases, monitoring of diseases progression and evaluation of prognosis.

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