Array-based sensing and discrimination of segmented Baijiu using organic molecules-regulated PEI@Ag NPs@Ln as fluorescent probes
•PEI@Ag NPs@Ln fluorescence sensor array for detecting segmented Baijiu.•The fluorescence properties of PEI@Ag NPs@Ln are regulated by organic molecules.•Acids, esters, and aldehydes are effectively discriminated.•The segmented Baijiu are well discriminated by PCA, HCA, LDA. Quickly discriminating d...
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Published in | Food chemistry Vol. 417; p. 135888 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
15.08.2023
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Subjects | |
Online Access | Get full text |
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Summary: | •PEI@Ag NPs@Ln fluorescence sensor array for detecting segmented Baijiu.•The fluorescence properties of PEI@Ag NPs@Ln are regulated by organic molecules.•Acids, esters, and aldehydes are effectively discriminated.•The segmented Baijiu are well discriminated by PCA, HCA, LDA.
Quickly discriminating different segmented Baijiu can directly control its grade and indirectly affect the quality of the finished Baijiu. A fluorescence sensor array was constructed based on PEI-terminated silver nanoparticles and lanthanide metal ions (PEI@Ag NPs@Ln). Ag NPs were stably dispersed in the PEI-woven network, initially accompanied by excellent fluorescence signals. Organic molecules disrupted the PEI structure and dragged the Ag NPs out. The free Ag NPs sintered or aggregated with the diffusion, resulting in fluorescence quenching. The three lanthanide ions speed up the process, allowing different organic molecules to exhibit more distinct signals. Thus, this sensor was used to map 11 organic molecules’ fingerprints and to discriminate segmented Baijiu. The whole process takes only 2 min. With the assistance of pattern recognition, segmented Baijiu from three cellars were successfully discriminated. Fast, effective and simple are highlights, which opens up its practical application potential in the detection field. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0308-8146 1873-7072 |
DOI: | 10.1016/j.foodchem.2023.135888 |