Literature DB >> 31892000

A novel ratiometric fluorescent sensing method based on MnO2 nanosheet for sensitive detection of alkaline phosphatase in serum.

Qi Zuo1, Yao Chen2, Zeng-Ping Chen3, Ru-Qin Yu1.   

Abstract

Alkaline phosphatase (ALP) is an important biomarker for clinical diagnosis. Abnormal levels of ALP are closely related to many diseases. In this contribution, a ratiometric fluorescent sensing method based on the competition between two oxidation-reduction reactions related to MnO2 nanosheets was developed for ALP detection. Moreover, an advanced model was derived for the quantitative analysis of the fluorescence measurements obtained by the proposed ratiometric fluorescent sensing method. With the aid of the advanced model, the proposed method achieved satisfactory quantitative results for ALP in real-world serum samples, with accuracy comparable to the corresponding results obtained by an automatic biochemical analyzer. Its recovery rates for the spiked serum samples were in the range of 98.4-115.0%, which were quite satisfactory considering the complexity of the matrices of the samples. The limit of detection and limit of quantification were estimated to be 0.09 and 0.30 U L-1, respectively. Therefore, it is reasonable to expect that the proposed ratiometric fluorescent sensing method can be further developed to be a competitive alternative for ALP detection.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Alkaline phosphatase; MnO(2) nanosheets; Ratiometric fluorescent sensing method; Spectral shape deformation quantitative theory

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Year:  2019        PMID: 31892000     DOI: 10.1016/j.talanta.2019.120528

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  1 in total

1.  A ratiometric fluorescence sensor based on enzymatically activatable micellization of TPE derivatives for quantitative detection of alkaline phosphatase activity in serum.

Authors:  Jeongmoo Lee; Seoyun Kim; Tae Hoon Kim; Seoung Ho Lee
Journal:  RSC Adv       Date:  2020-07-20       Impact factor: 4.036

  1 in total

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