Identification of proteins and bacteria based on a metal ion–gold nanocluster sensor array

2018 ◽  
Vol 10 (32) ◽  
pp. 3939-3944 ◽  
Author(s):  
Yayan Wu ◽  
Bing Wang ◽  
Kai Wang ◽  
Peng Yan
Keyword(s):  
Metal Ions ◽  
Metal Ion ◽  
Sensor Array ◽  
Gold Nanoclusters ◽  
Fluorescence Sensor ◽  
Gold Nanocluster

We report a simple fluorescence sensor array based on metal ions–gold nanoclusters (AuNCs) for the identification of proteins. The proposed method can also be used for bacteria sensing.

scholarly journals pH-Regulated Carbon Dots Fluorescence Sensor Array Detection of Multiple Heavy Metal Ions Under Stepwise Prediction

2022 ◽  
Author(s):  
Zijun Xu ◽  
Yuying Liu ◽  
Jiao Chen ◽  
Xiyuan Wang ◽  
Hao Liu ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Ions ◽  
Metal Ion ◽  
Heavy Metal Ions ◽  
Sensor Array ◽  
Chelating Agent ◽  
Fluorescence Sensor ◽  
Array Detection ◽  
Multiple Heavy Metals

Abstract As a large amount of heavy metals leaches into water sources from industrial effluents, heavy metal pollution has become an important factor affecting water quality. To enable the detection of multiple heavy metals, we constructed a pH-regulation fluorescence sensor array. Firstly, by adding a metal chelating agent as receptor, metal ions and carbon quantum dots (CDs) were connected to distinguish between Cr6+, Fe3+, Fe2+, and Hg2+ ions. Thus, the lack of affinity between the indicator functional groups and the analyte was solved. Secondly, by adjusting the pH environment of the solution system, an economical and simple array sensing platform is established, which effectively simplified the array construction. In this study, the SX-model was used in the field of fluorescence sensor array detection for metal ion recognition. Based on the strategy of stepwise prediction, combined with the classification and concentration models, the bottleneck of the unified model in previous studies was broken. This sensor array demonstrated sensitive detection of four heavy metal ions within a concentration range from 1 to 50 µM, with an accuracy of 95.45%. Moreover, it displayed the ability to efficiently identify binary mixed samples with an accuracy of 95.45%. Furthermore, metal ions in 15 real samples (lake water) were effectively discriminated with 100% accuracy. A chelating agent was used to improve the sensitivity of heavy metal ion detection and eventually led to high-precision prediction using the SX-model.

Heavy metal ion discrimination based on distinct interaction between single-stranded DNA and methylene blue

2019 ◽  
Vol 11 (1) ◽  
pp. 17-20 ◽  
Author(s):  
Li Li ◽  
Bing Liu ◽  
Zhengbo Chen
Keyword(s):  
Heavy Metal ◽  
Methylene Blue ◽  
Metal Ions ◽  
Metal Ion ◽  
Heavy Metal Ions ◽  
Sensor Array ◽  
Colorimetric Sensor ◽  
Heavy Metal Ion ◽  
Single Stranded Dna ◽  
Colorimetric Sensor Array

In this work, we developed a facile and extensible colorimetric sensor array based on different interactions between methylene blue (MB) and single-stranded DNA (ssDNA) for the discrimination of heavy metal ions.

Single gold nanocluster probe-based fluorescent sensor array for heavy metal ion discrimination

2020 ◽  
pp. 124259
Author(s):  
Xiang-Ping Zhang ◽  
Kai-Yuan Huang ◽  
Shao-Bin He ◽  
Hua-Ping Peng ◽  
Xing-Hua Xia ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Metal Ion ◽  
Sensor Array ◽  
Fluorescent Sensor ◽  
Heavy Metal Ion ◽  
Gold Nanocluster

A metal ion-regulated colorimetric sensor array: discriminating Chinese Baijiu from other beverages

2019 ◽  
Vol 11 (41) ◽  
pp. 5274-5281 ◽  
Author(s):  
Jiawei Li ◽  
Ping Yang ◽  
Jing Zhang ◽  
Zhengfan Shui ◽  
Danqun Huo ◽  
...  
Keyword(s):  
Metal Ions ◽  
Metal Ion ◽  
Sensor Array ◽  
Colorimetric Sensor ◽  
Correct Classification ◽  
Au Nps ◽  
Colorimetric Sensor Array

We provide a Baijiu colorimetric sensor array based on metal ions regulated Au NPs aggregation, which can do a correct classification of 16 Baijius with different flavor types.

scholarly journals A Turn-On Fluorescent Sensor for Glutathione Based on Bovine Serum Albumin-Stabilized Gold Nanoclusters

2018 ◽  
Vol 2018 ◽  
pp. 1-5 ◽  
Author(s):  
Yan Qiu ◽  
Jianlin Huang ◽  
Li Jia
Keyword(s):  
Bovine Serum Albumin ◽  
Serum Albumin ◽  
Bovine Serum ◽  
Fluorescent Sensor ◽  
Gold Nanoclusters ◽  
Copper Ion ◽  
Fluorescence Sensor ◽  
Gold Nanocluster ◽  
Experimental Conditions ◽  
Bovine Serum Albumin Molecule

A fluorescence sensor for the detection of glutathione based on the fluorescence recovering of the bovine serum albumin-stabilized gold nanoclusters is reported. This study indicates that glutathione restores the copper-ion-quenched fluorescence by coordinating the bound copper ion in the bovine serum albumin molecule used for stabilizing the gold nanocluster through its sulfydryl. Under the experimental conditions, the fluorescence response showed a linear relationship with the concentration of glutathione over the range from 10 µM to 400 µM. The fluorescence sensor successfully detected glutathione in commercial drug products.

Development of a fluorescence sensor array for the discrimination of metal ions and brands of packaged water based on gallate-modified polymer dots

2019 ◽  
Vol 11 (25) ◽  
pp. 3168-3174 ◽  
Author(s):  
Jiao Li ◽  
Hui Huang ◽  
Xue Sun ◽  
Donghui Song ◽  
Jingqi Zhao ◽  
...  
Keyword(s):  
Metal Ions ◽  
Efficient Method ◽  
Sensor Array ◽  
Fluorescence Sensor ◽  
Water Market ◽  
Modified Polymer ◽  
Polymer Dots ◽  
Water Based ◽  
Counterfeit Products

An efficient method has been found to discriminate different brands of packaged water which achieves to detect counterfeit products in the packaged water market.

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