Rapid and highly sensitive visual detection of oxalate for metabolic assessment of urolithiasis via selective recognition reaction of CdTe quantum dots.
机构：[1]Department of Laboratory Medicine, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center for Biotherapy, Chengdu, Sichuan, 610041, China.四川大学华西医院[2]Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China四川大学华西医院
Urolithiasis is a common disease that affects 5% to 8.8% of the world population with high recurring frequency. Therefore, there is an urgent need for the rapid and efficient diagnostics of urolithiasis. In this study, we developed a quantum dots (QDs)-based sensor for detecting urolithiasis oxalate. Urolithiasis oxalate was quantified by reducing Cu2+ to Cu+, which can be selectively recognized by CdTe QDs. The homogeneous sensing system shows high sensitivity for oxalate detection in the range of 0.1 μM to 10 mM within 6 min; moreover, the visual detection of 10 μM oxalate could be achieved by the naked eye. Our method was tested on 53 clinical samples; it showed 100% specificity and sensitivity for calcium oxalate urolithiasis compared with clinical diagnosis, even for hematuria samples. Furthermore, this method can be expanded to other wide range of biochemistry applications for medical diagnosis and point-of-care testing.
基金：
This work was supported by the
National Key Research and Development Program of China
(Grant No. 2016YFA0201400, and Grant No. 2016YFC1200300), the
China Postdoctoral Science Foundation (2019M653391), and PostDoctor Research Project of Sichuan University (2020SCU12051
and 2020SCU12039).
语种：
外文
PubmedID：
第一作者：
第一作者机构：[1]Department of Laboratory Medicine, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center for Biotherapy, Chengdu, Sichuan, 610041, China.
共同第一作者：
通讯作者：
推荐引用方式(GB/T 7714)：
Chen Piaopiao,Bai Yunjin,Tang Yin,et al.Rapid and highly sensitive visual detection of oxalate for metabolic assessment of urolithiasis via selective recognition reaction of CdTe quantum dots.[J].Journal of materials chemistry. B.2020,doi:10.1039/d0tb01108h.
APA：
Chen Piaopiao,Bai Yunjin,Tang Yin,Yan Shixin,Wang Xinyi...&Geng Jia.(2020).Rapid and highly sensitive visual detection of oxalate for metabolic assessment of urolithiasis via selective recognition reaction of CdTe quantum dots..Journal of materials chemistry. B,,
MLA：
Chen Piaopiao,et al."Rapid and highly sensitive visual detection of oxalate for metabolic assessment of urolithiasis via selective recognition reaction of CdTe quantum dots.".Journal of materials chemistry. B .(2020)
