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Ultrasensitive alkaline phosphatase activity assay based on controllable signal probe production coupled with the cathodic photoelectrochemical analysis
•A perovskite based PEC sensor was developed for ALP activity detection.•The split-type assay mode guarantees selectivity and high-throughput analysis.•This method doesn’t need complicated amplification strategies. A highly sensitive and selective split-type perovskite-based photoelectrochemical (PE...
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Published in: | Food chemistry 2023-09, Vol.421, p.136177-136177, Article 136177 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •A perovskite based PEC sensor was developed for ALP activity detection.•The split-type assay mode guarantees selectivity and high-throughput analysis.•This method doesn’t need complicated amplification strategies.
A highly sensitive and selective split-type perovskite-based photoelectrochemical (PEC) platform was developed for measuring alkaline phosphatase (ALP) activity in milk and serum samples. ALP in the test sample hydrolyzed 2-phosphate sesquimagnesium salt hydrate (AAPS) in a 96-microwell plate to produce ascorbic acid (AA), a PEC electron donor. The resulting AA, which could preferentially annihilate the photogenerated holes, indirectly reflects ALP activity. The PEC used a cetyltrimethylammonium bromide (CTAB)-functionalized CH3NH3PbI3 (CTAB@CH3NH3PbI3) film as the cathode to monitor the controlled AA production. Due to the excellent photoelectric characteristics of the CH3NH3PbI3 perovskite and the split-type assay, excellent sensitivity and selectivity for ALP detection were obtained. Under the optimum experimental conditions, ALP activity with a limit of detection (LOD) of 2.6 × 10−4 U/L in a linear dynamic range of 10−3 ∼ 102 U/L was obtained. With its sensitive, rapid, and high-throughput detection capabilities, this split-type and label-free PEC platform has great potential for use in food and biomedical analysis. |
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ISSN: | 0308-8146 1873-7072 |
DOI: | 10.1016/j.foodchem.2023.136177 |