Practical retention index models of OV-101, DB-1, DB-5, and DB-Wax for flavor and fragrance compounds

Practical retention index models of OV-101, DB-1, DB-5, and DB-Wax for flavor and fragrance compounds
复制标题

DOI:
10.1016/j.lwt.2007.07.007
复制
发表时间:
2008-01-01
影响因子:
6
通讯作者:
Goodner, K. L.
Goodner, K. L.
中科院分区:
农林科学1区
文献类型:
--
作者:
Goodner, K. L.

文献摘要

被引文献

相似文献

分别使用91、57、94和102种化合物生成OV-101(R = 0.997)、DB-1(R = 0.998)、DB-5(R = 0.997)和DB-Wax(R = 0.982)的气相色谱保留指数的高质量回归模型。使用二阶方程生成模型,该方程包括利用两个容易获得的变量(沸点和辛醇-水系数的对数)的叉积。此外,提出了一种确定离群值数据的方法(GOodner离群值确定(GOOD)方法),该方法是几种离群值测试的组合,并且不太容易丢弃合法数据。由Elsevier Ltd.代表瑞士食品科学与技术协会出版。
High-quality regression models of gas chromatographic retention indices were generated for OV-101 (R = 0.997), DB-1 (R = 0.998), DB-5 (R = 0.997), and DB-Wax (R = 0.982) using 91, 57, 94, and 102 compounds, respectively. The models were generated using a second-order equation including the cross product utilizing two easily obtained variables, boiling point and the log octanol-water coefficient. Additionally, a method for determining outlier data (the GOodner Outlier Determination (GOOD) method) is presented, which is a combination of several outlier tests and is less prone to discarding legitimate data. Published by Elsevier Ltd. on behalf of Swiss Society of Food Science and Technology.