• Spectroscopy and Spectral Analysis
  • Vol. 36, Issue 5, 1488 (2016)
ZHANG Yu1, WANG Dong-fang1, CAO Bing1, LUO Shi-heng2, LIU Ya-qiong1, HUANG Ning-hua1, YAN Lai-lai1, and WANG Jing-yu1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2016)05-1488-06 Cite this Article
    ZHANG Yu, WANG Dong-fang, CAO Bing, LUO Shi-heng, LIU Ya-qiong, HUANG Ning-hua, YAN Lai-lai, WANG Jing-yu. Orthogonal Experiment for Optimization of the Sample Pretreatment Conditions for the Serum Cholesterol and Markers Determination by GC-MS[J]. Spectroscopy and Spectral Analysis, 2016, 36(5): 1488 Copy Citation Text show less

    Abstract

    The objective is to use orthogonal experiment to optimize the pretreatment on the determination of serum cholesterol and its markers by GC-MS. And then the method is evaluated in a methodological perspective. The methodis to Use L16(211) orthogonal experiment design to observe the influence of three key steps, althogether seven factors of pretreatment, which are saponification (KOH ethanol solution concentration, temperature and time), extraction (dose) and derivatization (temperature , time and dose). As for the results, the conditions of optimal pretreatment are as follows: the ethanol solution is 1 mol·L-1 KOH, the saponification temperature is 70 ℃;the saponification time is 60 min;the Solvent quantity is 2 mL; the derivatization temperature is 70 ℃;the derivatization time is 60 min, and the derivatization agent is 100 μL. Through the optimization by orthogonal design and methodological evaluation, the determination of serum cholesterol and its markers by GC-MS is excellent in terms of accuracy and precision, and methodological evaluation indexes are better than those reported in other papers.
    ZHANG Yu, WANG Dong-fang, CAO Bing, LUO Shi-heng, LIU Ya-qiong, HUANG Ning-hua, YAN Lai-lai, WANG Jing-yu. Orthogonal Experiment for Optimization of the Sample Pretreatment Conditions for the Serum Cholesterol and Markers Determination by GC-MS[J]. Spectroscopy and Spectral Analysis, 2016, 36(5): 1488
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