A filtration-assisted approach to enhance optical detection of analytes and its application in food matrices
| Autor: | Lili He, Zhiyun Zhang, Jason Szuhao Yang, Siyue Gao, Zhuangsheng Lin, Yanqi Qu |
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| Rok vydání: | 2021 |
| Předmět: |
Analyte
Silver Chemical substance Materials science Potassium Compounds Metal Nanoparticles Nanoparticle Coffee 01 natural sciences Silver nanoparticle Phosphates Analytical Chemistry law.invention 0404 agricultural biotechnology law Ethylenedioxy Filtration Acrylamide Chromatography 010401 analytical chemistry Color intensity 04 agricultural and veterinary sciences General Medicine 040401 food science 0104 chemical sciences Membrane Smartphone Food Analysis Food Science |
| Zdroj: | Food Chemistry. 338:127814 |
| ISSN: | 0308-8146 |
| Popis: | Analysis of target analytes in food and environmental samples often required sophisticated instrumentation, which restrains the accessibility and portability of the analysis. Herein, we developed an instrument-free approach for rapid quantification of target analytes. The reported filtration-assisted approach enables image analysis of aggregates formed via interaction between analytes and silver nanoparticles (AgNPs). Two model analytes were chosen for aggregating AgNPs, potassium phosphate for neutralizing the charges and a di-thiol molecule (2,2′-(ethylenedioxy) diethanethiol (EDT)) for cross-linking. The mixtures of AgNPs and analytes were filtered onto filter membranes and analyzed using grey color intensity analysis. Based on the AgNPs-EDT platform, we demonstrated the detection of 1 µg/mL acrylamide in instant coffee and biscuit matrices was achievable. The filtration-assisted method provides a simple, fast and inexpensive approach for optical detection and quantification of analytes in food matrices. |
| Databáze: | OpenAIRE |
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