当前位置: X-MOL 学术Arab. J. Chem. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Development of a methodology based on Headspace-Gas Chromatography-Ion Mobility Spectrometry for the rapid detection and determination of Patin Fish Oil adulterated with Palm oil
Arabian Journal of Chemistry ( IF 6 ) Pub Date : 2020-10-01 , DOI: 10.1016/j.arabjc.2020.08.026
Anggita Rosiana Putri , Maria José Aliaño-González , Marta Ferreiro , Widiastuti Setyaningsih , Abdul Rohman , Sugeng Riyanto , Miguel Palma

Abstract The present research intends to develop a new method based on headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS) for the detection and determination of patin fish oil adulterated with different percentages of palm oil, because it is a cheaper vegetable oil. Five variables that affect headspace generation (incubation time and temperature, amount of sample, injection volume, and pre-heating time) have been optimized by means of a Box Behnken design in combination with Response Surface Methodology. Then, repeatability and intermediate precision have been studied where coefficients of variation lower than 10% were obtained. This new method has been applied to several samples of patin fish oil adulterated with palm oil at 20 different levels (5 to 50% palm oil content). The results have confirmed the suitability of the HS-GC-IMS for a rapid, easy, and reliable detection and discrimination of adulterated oil samples since a characteristic fingerprint that allows 100% successful discrimination between adulterated and unadulterated patin oil samples was achieved. Finally, a regression model has been developed to determine each sample’s adulteration level with an error lower than 10% and a coefficient of determination greater than 0.95.

中文翻译:

开发一种基于顶空-气相色谱-离子迁移谱的方法,用于快速检测和测定掺有棕榈油的 Patin 鱼油

摘要 本研究旨在开发一种基于顶空-气相色谱-离子迁移谱 (HS-GC-IMS) 的新方法,用于检测和测定掺有不同百分比棕榈油的巴丁鱼油,因为它是一种廉价的植物油。油。影响顶空生成的五个变量(孵育时间和温度、样品量、进样量和预热时间)已通过 Box Behnken 设计结合响应面方法进行了优化。然后,研究了重复性和中间精密度,其中获得了低于 10% 的变异系数。这种新方法已应用于几种掺有 20 种不同水平(棕榈油含量为 5% 至 50%)的棕榈油的巴丁鱼油样品。结果证实了 HS-GC-IMS 适用于快速、简单、可靠地检测和鉴别掺假油样品,因为实现了一个特征指纹,可以 100% 成功区分掺假和未掺假的铜油样品。最后,开发了回归模型来确定每个样品的掺假水平,误差小于 10%,确定系数大于 0.95。
更新日期:2020-10-01
down
wechat
bug