Mahdis Alichi, Mohammadhosein Movassaghghazani, Mohammad Reza Afshar Mogaddam
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引用次数: 0
Abstract
A covalent organic framework based dispersive solid phase extraction was developed for extraction of several antibiotics from raw cow's milk samples. For this purpose, first, the milk proteins were precipitated by zinc sulfate and after centrifugation, the analytes were extracted by the sorbent. Then, the analytes were desorbed by a proper eluent and were more concentrated by a microextraction procedure. The extractant was used for the analysis of the analytes by high-performance liquid chromatography-diode array detector. Based on the results, acceptable extraction recoveries (62–71 %) and sensitive limits of detection and quantification in the ranges of 0.11–0.19 and 0.37–0.63 ng mL, respectively, were obtained. The method can analyze the analytes in broad concentration range. The introduced approach was used in the analysis of fifteen raw cow's milk samples. The obtained data showed that all samples were free of the analytes. According to these results, the method can be considered an efficient procedure for extracting the analytes from raw milk samples.
本研究开发了一种基于共价有机框架的分散固相萃取技术,用于从生牛乳样品中萃取多种抗生素。为此,首先用硫酸锌沉淀牛奶蛋白质,离心后用吸附剂萃取分析物。然后,用适当的洗脱剂对分析物进行解吸,并通过微萃取程序进行浓缩。萃取液用于通过高效液相色谱-二极管阵列检测器对分析物进行分析。结果表明,萃取回收率在 62%-71% 之间,检出限和定量限分别为 0.11-0.19 ng mL 和 0.37-0.63 ng mL。该方法可在较宽的浓度范围内分析分析物。所引入的方法被用于分析 15 份生牛乳样品。所得数据表明,所有样品中都不含分析物。根据这些结果,可以认为该方法是一种从生牛乳样品中提取分析物的有效方法。
期刊介绍:
The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects.
The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.