Block copolymer nanoparticles-based fluorescent sensor for ultrasensitive detection of tyrosinase activity and inhibitor
Block copolymer nanoparticles-based fluorescent sensor for ultrasensitive detection of tyrosinase activity and inhibitor
复制标题
基于嵌段共聚物纳米颗粒的荧光传感器,用于超灵敏检测酪氨酸酶活性和抑制剂
DOI:
10.1016/j.snb.2019.126935
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发表时间:
2019-11
期刊:
影响因子:
--
通讯作者:
Chen Jian
中科院分区:
文献类型:
--
作者:
Liu Ying;Zhang Chong-Hua;Zhang Peisheng;Wang Hong;Liu Jin-Wen;Wang Shenglan;Zeng Rongjin;Chen Shu;Chen Jian
It is of great value to develop a simple, rapid, label-free and sensitive strategy for tyrosinase activity detection and corresponding inhibitor screening in both biomedical diagnosis and cosmetic industry. However, many recently reported fluorescent assays may suffer from instability to light irradiation, poor water solubility, and complex modification. Herein, a novel fluorescent biosensor strategy has been developed capable of sensitive, label-free and rapid screening of tyrosinase activity as well as corresponding inhibitors based on fluorescent block copolymer nanoparticles (BCNs). The reported BCNs were prepared by coprecipitation assay using the mixture of amphiphilic block copolymer and fluorescent conjugated polymer, which show many advantages including high brightness, excellent photostability and biocompatibility, enabling the biosensor with high sensitivity and good reproducibility in a single-step operation. The reported assay exhibited high sensitivity and selectivity with a detection limit of 1.5 ng/mL for tyrosinase (TRY) activity detection and hold potential in its inhibitor screening. The satisfying recoveries offered great potential for complicated sample analysis. Hence, this reported assay may provide a novel platform for biosensor development.
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DOI:
10.1002/anie.201710688
发表时间:
2017-12-22
期刊:
Angewandte Chemie (International ed. in English)
影响因子:
--
作者:
Chen W;Xu S;Day JJ;Wang D;Xian M
通讯作者:
Xian M
影响因子:
4.8
作者:
Isabella Tessari;M. Bisaglia;F. Valle;B. Samorì;E. Bergantino;S. Mammi;L. Bubacco
通讯作者:
Isabella Tessari;M. Bisaglia;F. Valle;B. Samorì;E. Bergantino;S. Mammi;L. Bubacco
影响因子:
4.9
作者:
Xiaohua Li;Wen Shi;Suming Chen;J. Jia;Huimin Ma;O. Wolfbeis
通讯作者:
Xiaohua Li;Wen Shi;Suming Chen;J. Jia;Huimin Ma;O. Wolfbeis
影响因子:
7.4
作者:
Teng, Ye;Jia, Xiaofang;Wang, Erkang
通讯作者:
Wang, Erkang
影响因子:
4.9
作者:
Qingling Xu;Juyoung Yoon
通讯作者:
Qingling Xu;Juyoung Yoon