Highly efficient colorimetric detection of cancer cells utilizing Fe-MIL-101 with intrinsic peroxidase-like catalytic activity over a broad pH range. Issue 119 (17th November 2015)

• Record Type: Journal Article
• Authors: Chen, Daomei; Li, Bin; Jiang, Liang; Duan, Deliang; Li, Yizhou; Wang, Jiaqiang; He, Jiao; Zeng, Yanbo
• Is Part Of: RSC advances. Volume 5:Issue 119(2015)
• Page Start: 97910
• Page End: 97917
• Publication Date: 2015-11-17
• Subjects: Chemistry -- Periodicals; 540.5
• DOI: 10.1039/c5ra18115a
• Languages: English
• ISSNs: 2046-2069

Abstract

Abstract : We take advantage of the folic acid conjugated iron-based metal–organic frameworks (Fe-MIL-101) without any surface modification to design a simple and sensitive colorimetric assay to detect cancer cells based on its intrinsic peroxidase-like activity over broad pH range. Abstract : Early diagnosis and the timely treatment of cancer are key to improving patient survival rates at present. Metal–organic frameworks (MOFs) consisting of infinite crystalline lattices with metal clusters and organic linkers may provide opportunities for the detection of cancer cells which have remained undiagnosed. Herein, we report that Fe-MIL-101 possesses an intrinsic enzyme mimicking activity similar to that found in natural horseradish peroxidase and shows highly catalytic activity even at neutral pH. The Michaelis constant ( K m ) of Fe-MIL-101 with H2 O2 as the substrate is about 616-fold (at pH 4.0) and 20-fold (at pH 7.0) smaller than free natural horseradish peroxidase (HRP), indicating a much higher affinity for H2 O2 than HRP and most of the peroxidase mimetics. Moreover, Fe-MIL-101 was successfully used to detect cancer cells by conjugating folic acid onto Fe-MIL-101 without any surface modification. The detection limit of the method for HeLa cells was estimated to be 50 cells and the reaction colour produced with 10 cells could also be observed by the naked eye. The proposed method holds considerable potential for simple, sensitive, universal, and specific cancer cell detection.