Sesame oil determination by solid-phase extraction and liquid chromatography-tandem mass spectrometry  被引量:1

在线阅读下载全文

作  者:Xinjing Dou Liangxiao Zhang Peiwu Li Huali Xie Huhu Lang Xiaomei Chen Li Yu Wen Zhang Qi Zhang 

机构地区:[1]Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute,Chinese Academy of Agricultural Sciences, Wuhan, China [2]Laboratory of Quality & Safety Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture, Wuhan, China [3]Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture, Wuhan, China [4]Quality Inspection and Test Center for Oilseed Products, Ministry of Agriculture, Wuhan, China [5]Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Wuhan, China

出  处:《Oil Crop Science》2017年第3期181-186,共6页中国油料作物学报(英文版)

摘  要:Authenticity of blended oil has drawn increasing attentions. In this study, sesamin was selected as marker of sesame oil to verify authentication of blended oil with sesame oil on label. A simple method based on liquid chromatography-tandem mass spectrometry (LC-MS/MS) combined with solid-phase extraction (SPE) was used to detect sesamin. It has high sensitivity with low limit of detection (LOD) and limit of quantification (LOQ) being 20 ng/mL and 70 ng/mL respectively. Recoveries from 80.16% to 102.50% in 4 different oils indicated it’s reliable to quantify sesamin in edible oil. Four blended oils were used as validation samples and results showed this method could effectively detect whether sesame oil exists. In this study, a simple method was proposed for sesamin determination by LC-MS/MS and SPE in edible oils for the first time and provided an effective guide to identify authenticity of blended oils.

关 键 词:SESAMIN AUTHENTICATION SESAME OIL BLENDED OIL LC-MS/MS SPE 

分 类 号:O657.63[理学—分析化学] TS225.11[理学—化学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象