检出限
荧光
硫化氢
化学
食物腐败
分析化学(期刊)
肉类腐败
RGB颜色模型
纳米团簇
氢
材料科学
色谱法
光学
有机化学
物理
操作系统
生物
硫黄
细菌
遗传学
计算机科学
作者
Xiaowei Huang,Wei Sun,Zhihua Li,Jiyong Shi,Ning Zhang,Yang Zhang,Xiaodong Zhai,Xuetao Hu,Xiaobo Zou
出处
期刊:Food Chemistry
[Elsevier BV]
日期:2022-07-09
卷期号:396: 133654-133654
被引量:95
标识
DOI:10.1016/j.foodchem.2022.133654
摘要
In this study, a fluorescence sensing platform for visual detection of hydrogen sulfide (H2S) based on ratiometric fluorescent substances was developed to real-time monitor meat spoilage. The copper nanoclusters (CuNCs) and nitrogen-doped carbon quantum dots (CNQDs) were used as dual emission fluorescence materials. The fluorescence ratio of the two wavelengths decreased in the sulphide concentration range of 0-3 μmolL(exp)-1, with a detection limit of 62.7 nmolL(exp)-1. In order to capture hydrogen sulfide gas in the air, the ratio fluorescent material is loaded on the paper base. By processing the RGB value of the photo under UV light, the detection limit of the sensor is 4.35 ppt in the range of 0 ∼ 45.2 ppt H2S gas concentration. This portable visual analysis greatly simplifies the steps of H2S gas detection while ensuring sensor stability and sensitivity. It also provides a new method for H2S detection during the meat storage process.
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