Chinese Journal of Chromatography ›› 2020, Vol. 38 ›› Issue (5): 600-605.DOI: 10.3724/SP.J.1123.2019.07033

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Three-dimensional quantitative structure-activity relationship study on gas chromatographic retention index of the fragrance compounds of Liliumspp

JIAO Long1,*(), WANG Yuan1, TAI Wenliang2, LIU Huanhuan1, XUE Zhiwei2, WANG Yanzhao1   

  1. 1 College of Chemistry and Chemical Engineering, Xi'an Shiyou University, Xi'an 710065, China
    2 No. 203 Research Institute of Nuclear Industry, Xianyang 712000, China
  • Received:2019-07-31 Online:2020-05-08 Published:2020-12-10
  • Contact: JIAO Long
  • Supported by:
    National Natural Science Foundation of China(21775118);Shaanxi Natural Science Basic Research Project(2018JM2018);Youth Innovation Team of Shaanxi Universityies(2019.21);Young Out- standing Talent Support Program of Shaanxi Universities;Xi’ an Shiyou University Youth Research and Innovation Team Construction Plan(2019QNKYCXTD17);Xi ’an Petroleum University Graduate Inno- vation and Practice Ability Training Project(YCS19111008);Xi ’an Petroleum University Graduate Inno- vation and Practice Ability Training Project(YCS19111006)

Abstract:

Quantitative structure-activity relationship models on the gas chromatographic retention index of the 38 volatile fragrance compounds of Liliumspp were investigated and established by comparative molecular field analysis (CoMFA) and comparative molecular similarity index (CoMSIA) methods. The robustness and predictive performance of the developed models were assessed using external test set validation and leave-one-out cross validation. Further, the effects of the molecular structure on the gas chromatographic retention indices of these compounds were intuitively studied in light of the three-dimensional contour maps of molecular fields provided by the developed CoMSIA and CoMFA models. The validation results demonstrated that both the models could accurately predict the retention indices of the investigated components. The influence of the molecular structure on the retention indices could be reasonably explained by these models. Moreover, the prediction accuracy of the CoMSIA model was slightly higher than that of the CoMFA model. Obviously, the proposed CoMSIA model is more promising for the analysis of the volatile fragrance compounds of Lilium spp.

Key words: gas chromatographic retention index, comparative molecular field analysis (CoMFA), comparative molecular similarity index (CoMSIA), fragrance compounds, liliumspp