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SENSORS AND ACTUATORS B-CHEMICAL · 2017 · IF 5.401

Gold nanoclusters immobilized paper for visual detection of zinc in whole blood and cells by coupling hydride generation with headspace solid phase extraction

Ke Huang,Rui Dai,Wenqing Deng,Shengjie Guo,Han Deng,Yao Wei,Fuling Zhou,Ying Long,Jun Li,Xin Yuan,Xiaoli Xiong

A novel visual detection method was developed for the determination of zinc (Zn) in whole blood and cells using gold nanoclusters (AuNCs) immobilized paper. The detection of Zn was based on a headspace-solid phase extraction (HS-SPE), visible fluorescence from the AuNCs coated paper was quenched by ZnH 2 generated from hydride generation (HG). The potential mechanism was investigated by using X-ray photoelectron spectroscopy (XPS) and Density Functional Theory (DFT). The selectivity was significantly increased because the zinc hydride was effectively separated from sample matrices by hydride generation. A limit of detection (LOD) of 3   μg   L −1 Zn 2+ and a relative standard deviation (RSD, n   =   7) of 2% at a concentration of 50   μg   L −1 of Zn 2+ were obtained when using a commercial fluorescence spectrophotometer as the detector. In visual detection, as low as 20   μg   L −1 of Zn 2+ in biological samples can be easily discriminated from the blank with the naked eye. The proposed method retains several unique advantages, including straightforward, rapid, affordable and equipment-free for visual detection.

CAS / MDL: 98-10-2 13453-07-1
研究领域: 分析化学 · 生物医学工程
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FOOD CHEMISTRY · 2024 · IF 8.5

A portable europium complex-loaded fluorescent test paper combined with smartphone analysis for the on-site and visual detection of mancozeb in food samples

Zheng Cheng,Xinfang Liu,Beibei Zhao,Xu Liu,Xiaorui Yang,Xiaoyu Zhang,Xun Feng

The on-site detection of mancozeb in food samples holds immense value for food safety. A red-fluorescent europium complex ( Eu-PYDC-Phen ) has been prepared and employed as a fluorescence probe for mancozeb detection. The optimized probe suspension exhibits excellent detection performances, including a wide linear range (0–0.24 mM), low detection limit (65 nM), rapid response (2 mins) and high selectivity . Moreover, a portable detection platform was carefully designed, integrating the Eu-PYDC-Phen -based fluorescent test strips with smartphone color recognition software. This innovative platform enables visual and on-site detection of mancozeb in tomato, apple, and lettuce, achieving satisfactory recovery rates (90.34 to 106.50%). Furthermore, the integration of machine learning techniques based on hierarchical clustering algorithm has the potential to further improve the prediction and decision-making efficiency in mancozeb detection. This work provides an economical, convenient, and reliable strategy for on-site detection of pesticide in agricultural products, thereby making a meaningful contribution to food safety.

CAS / MDL: 10031-53-5 108-95-2
研究领域: 食品科学 · 分析化学
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