Ultra-sensitive detection of leukemia by graphene

被引:120
作者
Akhavan, Omid [1 ,2 ]
Ghaderi, Elham [3 ]
Hashemi, Ehsan [4 ,5 ]
Rahighi, Reza [1 ]
机构
[1] Sharif Univ Technol, Dept Phys, Tehran, Iran
[2] Sharif Univ Technol, Inst Nanosci & Nanotechnol, Tehran, Iran
[3] Div Adv Mat, Nanobiotechnol Res Lab, Tehran, Iran
[4] Natl Inst Genet Engn & Biotechnol, Natl Res Ctr Transgen Mouse, Tehran, Iran
[5] Natl Inst Genet Engn & Biotechnol, Anim Biotechnol Div, Tehran, Iran
基金
美国国家科学基金会;
关键词
NEURAL STEM-CELLS; PHOTOTHERMAL THERAPY; CANCER-CELLS; OXIDE SHEETS; DIFFERENTIATION; NANOPARTICLES; NANOSHEETS; BACTERIA; IMMOBILIZATION; GENOTOXICITY;
D O I
10.1039/c4nr04589k
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Graphene oxide nanoplatelets (GONPs) with extremely sharp edges (lateral dimensions similar to 20-200 nm and thicknesses <2 nm) were applied in extraction of the overexpressed guanine synthesized in the cytoplasm of leukemia cells. The blood serums containing the extracted guanine were used in differential pulse voltammetry (DPV) with reduced graphene oxide nanowall (rGONW) electrodes to develop fast and ultra-sensitive electrochemical detection of leukemia cells at leukemia fractions (LFs) of similar to 10(-11) (as the lower detection limit). The stability of the DPV signals obtained by oxidation of the extracted guanine on the rGONWs was studied after 20 cycles. Without the guanine extraction, the DPV peaks relating to guanine oxidation of normal and abnormal cells overlapped at LFs <10(-9), and consequently, the performance of rGONWs alone was limited at this level. As a benchmark, the DPV using glassy carbon electrodes was able to detect only LFs similar to 10(-2). The ultra-sensitivity obtained by this combination method (guanine extraction by GONPs and then guanine oxidation by rGONWs) is five orders of magnitude better than the sensitivity of the best current technologies (e.g., specific mutations by polymerase chain reaction) which not only are expensive, but also require a few days for diagnosis.
引用
收藏
页码:14810 / 14819
页数:10
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