首页> 外文期刊>Journal of Agricultural and Food Chemistry >Analysis of reducing carbohydrates by reductive tryptamine derivatization prior to micellar electrokinetic capillary chromatography.
【24h】

Analysis of reducing carbohydrates by reductive tryptamine derivatization prior to micellar electrokinetic capillary chromatography.

机译:在胶束电动毛细管色谱之前,通过还原性色胺的衍生化分析还原性碳水化合物。

获取原文
获取原文并翻译 | 示例
       

摘要

A micellar electrokinetic capillary chromatography method for determination of low molecular weight carbohydrates (dp 1-2) with an unbound carbonyl group as in aldoses or other reducing carbohydrates has been developed. Reductive amination of aldoses on the carbonyl group using tryptamine introduced a chromophor system to the carbohydrates enabling their sensitive UV detection at 220 nm and identification based on the indole group using diode array detection. Twelve carbohydrates including pentoses (d-ribose, l-arabinose, and d-xylose), hexoses (d-glucose, d-mannose, and d-galactose), deoxy sugars (l-rhamnose and l-fucose), uronic acids (d-glucuronic acid and d-galacturonic acid), and disaccharides (cellobiose and melibiose) are included in the study, using d-thyminose (2-deoxy-d-ribose) as the internal standard. Detection of all 12 carbohydrates is performed within 30 min. Linearity with correlation coefficients from 0.9864 to 0.9992 was found in the concentration range of 25-2500 micromol/L for all carbohydrates; the relative standard deviation on the migration times was between 0.27 and 0.80 min, and limits of quantification and limits of determination were in the picomole range.
机译:已经开发出一种胶束电动毛细管色谱法,用于测定醛糖或其他还原性碳水化合物中具有未结合羰基的低分子量碳水化合物(dp 1-2)。使用色胺将羰基上的醛糖还原胺化反应,将生色团系统引入碳水化合物中,从而使其能够在220 nm处进行敏感的紫外线检测,并使用二极管阵列检测基于吲哚基进行鉴定。十二种碳水化合物,包括戊糖(d-核糖,l-阿拉伯糖和d-木糖),己糖(d-葡萄糖,d-甘露糖和d-半乳糖),脱氧糖(l-鼠李糖和l-岩藻糖),糖醛酸( d-葡萄糖醛酸和d-半乳糖醛酸,以及二糖(纤维二糖和半乳糖)都包含在研究中,以d-胸腺糖(2-脱氧-d-核糖)为内标。在30分钟内检测所有12种碳水化合物。所有碳水化合物的浓度范围为25-2500 micromol / L时,线性相关系数为0.9864至0.9992。迁移时间的相对标准偏差在0.27至0.80分钟之间,定量限和测定限在picomole范围内。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号