期刊
LWT-FOOD SCIENCE AND TECHNOLOGY
卷 41, 期 6, 页码 951-958出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.lwt.2007.07.007
关键词
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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.
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