Citation: LI Ping, DONG Yu-Ming, WANG Guang-Li. An Enzyme Cascade Strategy for Sensitive Detection of Acid Phosphatase[J]. Chinese Journal of Analytical Chemistry, ;2018, 46(7): 1129-1136. doi: 10.11895/j.issn.0253-3820.181038 shu

An Enzyme Cascade Strategy for Sensitive Detection of Acid Phosphatase

Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, Wuxi 214122, China

Received Date: 17 January 2018
Revised Date: 20 April 2018

Fund Project: This work was supported by the National Natural Science Foundation of China (Nos. 21275065, 21676123, 21575052).

An enzyme cascade strategy was introduced for sensitive detection of acid phosphatase (ACP). Pyrophosphate ions (PPi) can strongly bound Fe³⁺ and thus hinders the production of Prussian blue nanoparticles (PBNPs). ACP can hydrolyze PPi to form phosphate ions, and the released Fe³⁺ reacts with potassium ferrocyanide (K₄[Fe(CN)₆]) to form PBNPs. The formed PBNPs have high peroxidase-like activity, which can decompose hydrogen peroxide (H₂O₂) to produce hydroxyl radical (·OH) for oxidizing the typical substrate of 3,3',5,5'-tetramethylbenzidine (TMB). Therefore, a novel sensing strategy for detecting ACP based on the high signal amplification of enzyme cascade was constructed. The results showed that there was a good linear relationship between the absorbance of oxidized TMB (oxTMB) and the concentration of ACP in the range of 3-20 U/L, with a detection limit of 0.8 U/L. Different from the conventional enzyme cascades in which the product of one enzyme is the substrate of the other, this study opens up a new way to construct novel enzyme cascade system.
- Enzyme cascade,
- Prussian blue nanoparticles,
- Peroxidase mimics,
- Acid phosphatase
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