Anal. Chim. Acta, 2017, Apr; 963:119-128. doi: 10.1016/j.aca.2017.01.032

Turn-off” fluorescent sensor for highly sensitive and specific simultaneous recognition of 29 famous green teas based on quantum dots combined with chemometrics

 

Li Liua, Yao Fana, Haiyan Fua*,b, Feng Chenb, Chuang Nia, Jinxing Wanga, Qiaobo Yina, Qingling Mua, Tianming Yanga, Yuanbin Shec* 

a The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South-Central University for Nationalities, Wuhan 430074, PR China

b Department of Food, Nutrition and Packaging Sciences, Clemson University, Clemson, SC 29634, USA

c State Key Laboratory Breeding Base of Green Chemistry-Synthesis Technology, College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310032, PR China. 

Correspondence should be addressed to Haiyan Fu and Yuanbin She. E-mail: fuhaiyan@mail.scuec.edu.cn; sheyb@zjut.edu.cn

 

Abstract

This paper is the first report on a highly sensitive and specific “Turn-off” fluorescent detection mode based on NAC-capped CdTe QDs coupled with chemometric methods for simultaneous recognition of species, geographic origins and quality grades in 29 famous green teas. It is also the first attempt to develop “Turn-off” fluorescent data sensor analysis into tackling a large-class-number classification (LCNC) problem. The NAC-capped CdTe QDs were demonstrated to be excellent probes for sensing differences in fluorescent response of different green tea. Most importantly, the authors further demonstrated the established “Turn-off” fluorescent sensor mode has several significant advantages and appealing properties including high fluorescence efficiency, classification accuracy, sensitivity and excellent specificity over the conventional fluorescent method for LCNC of different green tea. Such an approach presented in this work will hold great potential to broaden more LCNC practical applications in food, herb, pharmaceutical quality control and biological recognition to achieve higher detector response and enhance the specificity.

https://doi.org/10.1016/j.aca.2017.01.032

 

 

Figure 1: “Turn-off” fluorescent sensor based on NAC-capped CdTe QDs for highly sensitive and specific simultaneous recognition of 29 famous green with aid of chemometrics

 

Figure 2: Some authors of the paper (From right: Li Liu, Haiyan Fu, Jinxing Wang, Qingling Mu )

 

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