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学科主题: 分析化学
题名: Metabolic profiling based on LC-MS to evaluate unintended effects of
作者: Chang YW(常玉玮) ;  Zhao CX(赵春霞) ;  Wu ZM(吴泽明) ;  Zhou J(周佳) ;  Zhao YN(赵燕妮) ;  Lu X(路鑫) ;  Xu GW(许国旺)
会议文集: Proceeding of HPLC 2011
会议名称: 37th International Symposium on High Performance Liquid Phase Separations and Related Techniques
会议日期: 2011-10-8
出版日期: 2011
会议地点: 大连
通讯作者: 许国旺
出版者: 待补充
出版地: 待补充
合作性质: 墙报
部门归属: 1808
主办者: 中国化学会色谱专业委员会
摘要: Genetially modified (GM) plants have been widely used in agriculture and food industry recently. Safety evaluation of GM plants for humans and environment has been becoming a more important topic although there has been no direct evidence indicating deleterious effect of GM plants. More and more studies have been carried out to explore differences in GM rice and their wild counterpart to evaluate unintended effect, which is a main aspect of the safety assessment. Most of work was only focused on key nutrients and antinutrients. However, to the best of our knowledge metabolic profiling analysis of rice seed using LC-MS has not ever been reported. Here a metabolic profiling method of rice seeds was developed using rapid resolution liquid chromatography/quadrupole time-of-flight mass spectrometry. The analytical properties of the method including the linearity, reproducibility, intra-day precision and inter-day precision were investigated and results were satisfactory. The method was then applied to investigate the differences between the transgenic rice and wild counterpart, as well as the wild rice with different sowing dates or sites. Global metabolic phenotype differences were visualized and metabolites in discriminating different groups were found by a multivariate data analysis. Results indicated that environment factors play a greater role than the gene modification for most of metabolites.
英文摘要: Genetially modified (GM) plants have been widely used in agriculture and food industry recently. Safety evaluation of GM plants for humans and environment has been becoming a more important topic although there has been no direct evidence indicating deleterious effect of GM plants. More and more studies have been carried out to explore differences in GM rice and their wild counterpart to evaluate unintended effect, which is a main aspect of the safety assessment. Most of work was only focused on key nutrients and antinutrients. However, to the best of our knowledge metabolic profiling analysis of rice seed using LC-MS has not ever been reported. Here a metabolic profiling method of rice seeds was developed using rapid resolution liquid chromatography/quadrupole time-of-flight mass spectrometry. The analytical properties of the method including the linearity, reproducibility, intra-day precision and inter-day precision were investigated and results were satisfactory. The method was then applied to investigate the differences between the transgenic rice and wild counterpart, as well as the wild rice with different sowing dates or sites. Global metabolic phenotype differences were visualized and metabolites in discriminating different groups were found by a multivariate data analysis. Results indicated that environment factors play a greater role than the gene modification for most of metabolites.
内容类型: 会议论文
URI标识: http://cas-ir.dicp.ac.cn/handle/321008/116067
Appears in Collections:中国科学院大连化学物理研究所_会议论文

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Recommended Citation:
Chang YW,Zhao CX,Wu ZM,et al. Metabolic profiling based on LC-MS to evaluate unintended effects of[C]. 见:37th International Symposium on High Performance Liquid Phase Separations and Related Techniques. 大连. 2011-10-8.
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