College of Food Science and Engineering, Jilin University, Changchun 130025, PR China.
College of Food Science and Engineering, Jilin University, Changchun 130025, PR China; State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, PR China.
Food Chem. 2021 May 1;343:128492. doi: 10.1016/j.foodchem.2020.128492. Epub 2020 Oct 28.
A novel fluorescence sensor array based on cationic polymer induced self-assembly of a perylene probe is developed. Cationic polymer induced aggregation of the carboxyl modified negatively charged perylene probe, and resulted in large quenching of monomer emission and generation of excimer emission. Upon the addition of negatively charged protein, monomer fluorescence restored with a decrease in excimer fluorescence. Based on these observations, we developed a six-channel sensor array to discriminate five main proteins in milk. In addition, we successfully identified pure milk out of different drinks using the developed sensor array since different drinks contained distinct species and contents of proteins. Furthermore, the sensor array exhibited excellent performance to discriminate milk adulterated by different concentrations of adulterants with 100% accuracy of cross validation. The analysis results also presented excellent linear correlation of adulterants contents and thus the developed sensor array shows great potential for quantitative detection of milk adulteration.
研究开发了一种基于阳离子聚合物诱导芘探针自组装的新型荧光传感器阵列。阳离子聚合物诱导带负电荷的芘探针聚集,导致单体发射的强烈猝灭和激基复合物发射的产生。当加入带负电荷的蛋白质时,单体荧光恢复,而激基复合物荧光降低。基于这些观察结果,我们开发了一个六通道传感器阵列来区分牛奶中的五种主要蛋白质。此外,我们还成功地使用开发的传感器阵列识别了不同饮料中的纯牛奶,因为不同的饮料中含有不同种类和含量的蛋白质。此外,该传感器阵列在区分不同浓度掺杂物的牛奶方面表现出优异的性能,交叉验证的准确率达到 100%。分析结果还呈现出掺杂物含量的良好线性相关性,因此所开发的传感器阵列在牛奶掺假的定量检测方面具有很大的潜力。