TY - JOUR
T1 - Sensitive and Specific Colorimetric Detection of Cancer Cells Based on Folate-Conjugated Gold–Iron-Oxide Composite Nanoparticles
AU - Teng, Yun
AU - Shi, Jue
AU - Pong, Philip W. T.
N1 - Funding Information:
This research was supported by the Seed Funding Program for Basic Research, Seed Funding Program for Applied Research and Small Project Funding Program from University of Hong Kong, ITF Tier 3 funding (ITS-104/13, ITS-214/14), and University Grants Committee of Hong Kong (AoE/P-04/08). J.S. (HKBU) acknowledges the support by the Research Grant Council of Hong Kong (C2006-17E and T12-710/16-R). Helen Leung (HKU) is thanked for confocal microscope measurements.
Publisher copyright:
© 2019 American Chemical Society
PY - 2019/11/22
Y1 - 2019/11/22
N2 - A sensitive and specific colorimetric analytical strategy for cancer-cell detection based on folate-conjugated gold-iron-oxide composite nanoparticles (Au-Fe2O3 CNPs) has been developed. The synthesized Au-Fe2O3 CNPs demonstrated peroxidase-like activity and could catalyze the oxidation of 3,3′,5,5′-tetramethylbenzidine in the presence of the hydrogen peroxide. In this method, the Au-Fe2O3 CNPs were used as the signal transducer, and the conjugated folic acid acted as the cancer-cell recognition tool. The generated colorimetric signals could be detected by the naked eye or via a UV-vis spectrophotometer at an absorbance of 450 nm from the final yellow product. This folate-conjugated Au-Fe2O3 CNP-based colorimetric method allows the detection of cancer cells in the linear range from 50 to 500 cells/mL with a limit of detection of 5 cells/mL for the HeLa cells, which is much lower than that of other colorimetric detection methods for cancer cells. The specificity of this colorimetric detection method was indicated by both fluorescence microscopy images and UV-vis absorbance spectra. Moreover, the colorimetric detection of cancer cells in serum was performed to verify the feasibility of this colorimetric detection method in a complex biological environment. The folate-conjugated Au-Fe2O3 CNPs enabled the formation of a colorimetric-responsive multifunctional analysis platform with target recognition for cancer cell detection.
AB - A sensitive and specific colorimetric analytical strategy for cancer-cell detection based on folate-conjugated gold-iron-oxide composite nanoparticles (Au-Fe2O3 CNPs) has been developed. The synthesized Au-Fe2O3 CNPs demonstrated peroxidase-like activity and could catalyze the oxidation of 3,3′,5,5′-tetramethylbenzidine in the presence of the hydrogen peroxide. In this method, the Au-Fe2O3 CNPs were used as the signal transducer, and the conjugated folic acid acted as the cancer-cell recognition tool. The generated colorimetric signals could be detected by the naked eye or via a UV-vis spectrophotometer at an absorbance of 450 nm from the final yellow product. This folate-conjugated Au-Fe2O3 CNP-based colorimetric method allows the detection of cancer cells in the linear range from 50 to 500 cells/mL with a limit of detection of 5 cells/mL for the HeLa cells, which is much lower than that of other colorimetric detection methods for cancer cells. The specificity of this colorimetric detection method was indicated by both fluorescence microscopy images and UV-vis absorbance spectra. Moreover, the colorimetric detection of cancer cells in serum was performed to verify the feasibility of this colorimetric detection method in a complex biological environment. The folate-conjugated Au-Fe2O3 CNPs enabled the formation of a colorimetric-responsive multifunctional analysis platform with target recognition for cancer cell detection.
KW - cancer cells
KW - colorimetric detection
KW - folate and folate receptor
KW - gold-iron-oxide CNPs
KW - peroxidase-like activity
UR - http://www.scopus.com/inward/record.url?scp=85075547008&partnerID=8YFLogxK
U2 - 10.1021/acsanm.9b01947
DO - 10.1021/acsanm.9b01947
M3 - Journal article
AN - SCOPUS:85075547008
SN - 2574-0970
VL - 2
SP - 7421
EP - 7431
JO - ACS Applied Nano Materials
JF - ACS Applied Nano Materials
IS - 11
ER -