期刊
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
卷 121, 期 -, 页码 -出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jfca.2023.105373
关键词
Cobalt nanoleaves; Lead; Blue butterfly tea; Tap water; Preconcentration method; Flame atomic absorption spectrophotometry
Cobalt nanoleaves (Co-NL) were synthesized by microwave-assisted synthesis and used as an adsorbent in a preconcentration method (CNL-PM) to concentrate trace levels of lead in blue butterfly tea extract and tap water. The adsorbent was characterized using XRD, SEM, and FTIR. Measurements were performed using SQT-FAAS. Under optimum conditions, the LOD and LOQ for the CNL-PM-SQT-FAAS system were 2.4 and 7.9 μg/kg, respectively. Recovery experiments were conducted for tap water samples and the developed method was applied to butterfly tea extract samples, resulting in lead concentrations of 0.26 ± 0.01 and 0.36 ± 0.01 μg/g for A and B tea samples, respectively.
Herein, cobalt nanoleaves (Co-NL) were synthesized by microwave assisted synthesis strategy and utilized as an adsorbent in cobalt nanoleaves based preconcentration method (CNL-PM) to preconcentrate lead at trace levels in blue butterfly tea extract and tap water. The adsorbent was characterized by X-ray diffraction (XRD), scanning electron microscope (SEM) and Fourier transform infrared spectrometer (FTIR). Instrumental measurements were performed by slotted quartz tube-flame atomic absorption spectrometer (SQT-FAAS). Under the optimum conditions, limit of detection (LOD) and limit of quantification (LOQ) for the CNL-PM-SQT-FAAS system were 2.4 and 7.9 mu g/kg, respectively. Hence, FAAS enrichment factor was improved by 104.3-fold under optimum conditions. Recovery experiments for environmental application were conducted for two tap water samples to assess the method's applicability and accuracy. Further, developed method was applied to butterfly tea extract samples and lead concentration was found as 0.26 +/- 0.01 and 0.36 +/- 0.01 mu g/g for A and B tea samples, respectively.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据