康振辉教授课题组与北京中医药大学共同在Carbon上发表文章

发布时间:2021-05-24


康振辉教授课题组与北京中医药大学共同在Carbon上发表文章

题目:

Fluorescent carbon dots with tunable negative charges for bio-imaging in bacterial viability asses**ent

作者:

Fang Lu a, 1, Yuxiang Song b, 1, Hui Huang b, Yang Liu b, Yijun Fu b, Jian Huang c, Hao Li b, **, Huihua Qu a, ***, Zhenhui Kang b, *

单位:

a School of Basic Medical Sciences, Beijing University of Chinese Medicine, Beijing 100029, China

b Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, 199 Ren'ai Road, Suzhou, 215123, Jiangsu, PR China

c School of Biology & Basic Medical Sciences, Soochow University, 199 Ren'ai Road, Suzhou, 215123, Jiangsu, PR China

摘要:

Applying bio-imaging in bacterial viability asses**ent is vital to human health. Nitrogen, phosphorus codoped carbon dots (NPCDs) with high visible fluorescence and tunable negative charges were synthesized by a feasible hydrothermal reaction. The as-prepared NPCDs possess abundant surface functional groups, excellent photostability and bio-compatibility. Especially, the surface negative charges of NPCDs can be adjusted by changing the kind of the precursors. The obtained NPCDs as a fluorescent dye could selectively stain dead bacteria instead of live ones due to electrostatic repulsion since the cell walls of bacteria possess negative charges. The NPCDs with less negative charges provides a low accurate mortality rate due to a weaker repulsion, while NPCDs with the most negative charges give a comparable mortality rate with traditional plate counting method but consumes shorter time. Our study suggests that NPCDs with highly negative charges could serve as a precise and efficient fluorescent probe to determine the living state of bacteria, widening the path for bio-imaging application in bacterial viability asses**ent.

影响因子:

6.337

分区情况:

一区

链接:

http://ac.els-cdn.com/S0008622317304852/1-s2.0-S0008622317304852-main.pdf?_tid=7445d108-80c1-11e7-93a5-00000aacb35d&acdnat=1502695582_5ae1e69d1ed48bd030b0e9421d01a6fe