College of Food Science, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China; Key Laboratory of Postharvest Biology of Subtropical Special Agricultural Products (Fujian Agriculture and Forestry University), Fujian Province University, Fuzhou, Fujian 350002, China.
College of Food Science, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China; Key Laboratory of Postharvest Biology of Subtropical Special Agricultural Products (Fujian Agriculture and Forestry University), Fujian Province University, Fuzhou, Fujian 350002, China.
Food Chem. 2020 Jun 15;315:126276. doi: 10.1016/j.foodchem.2020.126276. Epub 2020 Jan 23.
Cellulose nanofibers (CNF) coated with inorganic nanoparticles are novel hybrid nanocomposites that have great potential in various areas including agriculture and food science. The objectives of this study were to synthesize nanocomposites consisted of CNF coated with silver nanoparticles (AgNPs), which can be used as a surface-enhanced Raman spectroscopy (SERS) platform for measuring pesticides in Oolong tea. CNF were coated with AgNPs to form uniform CNF-AgNP nanocomposites that were investigated by transmission electron microscopy. Three-dimensional and porous CNF structures were loaded with AgNPs with an average size of 41 nm. CNF-AgNP substrates were applied in characterization and measurement of flusilazole in Oolong tea samples by SERS. A detection limit of 0.5 mg/kg for flusilazole was obtained based on partial least squares (PLS) regression analysis. These results indicate that CNF-AgNP nanocomposites combined with SERS is an accurate, sensitive, and efficient technique for identification and quantification of pesticide residues in Oolong tea.
纤维素纳米纤维(CNF)涂覆无机纳米颗粒是新型的杂化纳米复合材料,在农业和食品科学等各个领域都具有巨大的应用潜力。本研究的目的是合成由纤维素纳米纤维涂覆银纳米颗粒(AgNPs)组成的纳米复合材料,可作为表面增强拉曼光谱(SERS)平台用于测量乌龙茶中的农药。通过透射电子显微镜研究了涂覆有 AgNPs 的均匀 CNF-AgNP 纳米复合材料。三维多孔 CNF 结构负载了平均尺寸为 41nm 的 AgNPs。通过 SERS 对 CNF-AgNP 基底进行了氟硅唑在乌龙茶样品中的表征和测量。基于偏最小二乘(PLS)回归分析,获得了氟硅唑的检测限为 0.5mg/kg。这些结果表明,CNF-AgNP 纳米复合材料与 SERS 相结合,是一种用于识别和定量乌龙茶中农药残留的准确、灵敏、高效的技术。