Citation: Li Wentao, Sun Xiaomei, Zhao Xuan, Wang Wei, Xu Shenghao, Luo Xiliang. Rapid pattern recognition of different types of sulphur-containing species as well as serum and bacteria discrimination using Au NCs-Cu²⁺ complexes[J]. Chinese Chemical Letters, ;2020, 31(9): 2473-2477. doi: 10.1016/j.cclet.2020.04.027 shu

Rapid pattern recognition of different types of sulphur-containing species as well as serum and bacteria discrimination using Au NCs-Cu²⁺ complexes

Li Wentao ^a ,
Sun Xiaomei ^b ,
Zhao Xuan ^a ,
Wang Wei ^a ,
Xu Shenghao ^a,*, ,
Luo Xiliang ^a,*,

a.
Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, China
b.
The Affiliated Hospital of Qingdao University, Qingdao 266003, China

xushenghao@qust.edu.cn

xiliangluo@qust.edu.cn

Received Date: 3 March 2020
Revised Date: 9 April 2020
Accepted Date: 15 April 2020
Available Online: 21 April 2020

Figures(6)

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 sulfur-containing 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 sulfur-containing 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.
- Sulfur-containing species,
- Gold nanoclusters,
- Sensor array,
- Fluorescence,
- Bacteria discrimination,
- Serum discrimination
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Rapid pattern recognition of different types of sulphur-containing species as well as serum and bacteria discrimination using Au NCs-Cu2+ complexes

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通讯作者: 陈斌, bchen63@163.com

Rapid pattern recognition of different types of sulphur-containing species as well as serum and bacteria discrimination using Au NCs-Cu²⁺ complexes