期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Rapid pattern recognition of different types of sulphur-containing species as well as serum and bacteria discrimination using Au NCs-Cu2+ complexes 被引量:2
1
作者 Wentao Li Xiaomei Sun +3 位作者 Xuan Zhao Wei Wang Shenghao Xu Xiliang Luo 《Chinese Chemical Letters》 SCIE CAS CSCD 2020年第9期2473-2477,共5页
Discrimination of different types of sulfur-containing species not only helps us to deeply understand how sulfur affects cellular signaling,but also contribute to the early diagnosis of diseases.However,the current in... Discrimination of different types of sulfur-containing species not only helps us to deeply understand how sulfur affects cellular signaling,but also contribute to the early diagnosis of diseases.However,the current investigation about sulfur-containing species discrimination is mainly concentrated in biothiols,which is relatively limited for practical application.Toward circumventing this limitation,herein,a convenient sensor array consisting of three kinds of Au NCs-Cu2+ for simultaneous and rapid identification of different types of sulfur-containing species is reported.Based on the fingerprint-like fluorescence responses generated by competitive binding between Au NCs-Cu2+ and different sulfurcontaining species,not only ten different types of sulfur-containing species separately but also their binary or ternary randomly selected mixtures can be well discriminated even in human urine and serum samples.It is worth noting that it only takes 2 min to obtain the best response signals for sulfurcontaining species discrimination.Most importantly,serums from cancer patients(such as liver cancer and breast cancer) and healthy people as well as sulfur-oxidizing bacteria(SOB) and sulfur-free bacteria can be both effectively and rapidly identified within 2 min,respectively,making it a promising approach for point-of-care disease diagnostic. 展开更多
关键词 Sulfur-containing species Gold nanoclusters Sensor array Fluorescence bacteria discrimination Serum discrimination
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部