Beijing Key Laboratory of Materials Utilisation of Nonmetallic Minerals and Solid Wastes, National Laboratory of Mineral Materials, School of Materials Science and Technology, China University of Geosciences, Beijing 100083, China; Qilu University of Technology (Shandong Academy of Sciences), Shandong Analysis and Test Center, Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Jinan 250014, China.
Univ. Lille, CNRS, Centrale Lille, Univ. Polytechnique Hauts-de-France, UMR 8520, IEMN, F-59000 Lille, France.
Food Chem. 2023 Aug 30;418:135935. doi: 10.1016/j.foodchem.2023.135935. Epub 2023 Mar 16.
Gold nanoparticles (AuNPs) represent an attractive inorganic matrix for laser desorption/ionization mass spectrometry (LDI-MS) detection of low-molecular-weight analytes; however, their direct use is hindered by severe aggregation. To limit AuNPs aggregation, hexagonal boron nitride nanosheets (h-BNNs) were employed as supports to improve their desorption/ionization efficiency. Thus, Au@BN was synthesized and systematically characterized. It showed low background noise and high sensitivity for LDI-MS of fipronil and its metabolites. Au@BN-assisted LDI-MS was validated using complex samples including blueberry juice, green tea beverage, and fish muscle, achieving low detection limits (0.05-0.20 µg·L for liquid media, 0.82-1.25 ng·g for fish muscle), wide linear ranges (0.2-100 µg·L for liquid media, 3.00-1000 ng·g for fish muscle), high reproducibility (7.55%-13.7%), and satisfactory recoveries (82.62%-109.1%). Furthermore, spatial distributions of analytes in strawberries and zebrafish were successfully imaged. This strategy allows for the quantitative analysis of other small molecules in complex substrates.
金纳米颗粒（AuNPs）作为一种有吸引力的无机基质，可用于激光解吸/电离质谱（LDI-MS）检测低分子量分析物；然而，其直接应用受到严重聚集的阻碍。为了限制 AuNPs 的聚集，六方氮化硼纳米片（h-BNNs）被用作支撑物，以提高其解吸/电离效率。因此，合成并系统地表征了 Au@BN。它表现出低背景噪声和高灵敏度，可用于氟虫腈及其代谢物的 LDI-MS。使用包括蓝莓汁、绿茶饮料和鱼肉在内的复杂样品对 Au@BN 辅助的 LDI-MS 进行了验证，实现了低检测限（液体介质为 0.05-0.20 µg·L，鱼肉为 0.82-1.25 ng·g）、宽线性范围（液体介质为 0.2-100 µg·L，鱼肉为 3.00-1000 ng·g）、高重现性（7.55%-13.7%）和令人满意的回收率（82.62%-109.1%）。此外，成功地对草莓和斑马鱼中的分析物进行了空间分布成像。该策略允许对复杂基质中的其他小分子进行定量分析。
