An optimized band-target entropy minimization for mass spectral reconstruction of severely co-eluting and trace-level components

作者：Chua, Chun Kiang; Lu, Bo; Lv, Yunbo; Gu, Xiao Yu; Di Thng, Ai; Zhang, Hua Jun^*

来源：Analytical and Bioanalytical Chemistry, 2018, 410(25): 6549-6560.

DOI：10.1007/s00216-018-1260-y

• Gas chromatography
• Mass spectrometry
• Entropy minimization
• Spectral deconvolution

Gas chromatography-mass spectrometry (GC-MS) is a versatile analytical method but its data is usually complicated by the presence of severely co-eluting and trace-level components. In this work, we introduce an optimized band-target entropy minimization approach for the analysis of complex mass spectral data. This new approach enables an automated mass spectral analysis which does not require any user-dependent inputs. Moreover, the approach provides improved sensitivity and accuracy for mass spectral reconstruction of severely co-eluting and trace-level components. The accuracy of our approach is compared to the automatic mass spectral deconvolution and identification system (AMDIS) with two controlled mixtures and a sample of Eucalyptus essential oil. Our approach was able to putatively identify 130 compounds in Eucalyptus essential oil, which was 46% in excess of that identified by AMDIS. This new approach is expected to benefit GC-MS analysis of complex mixtures such as biological samples and essential oils, in which the data are often complicated by co-eluting and trace-level components.

• 出版日期2018-10
• 单位广西科学院; 广西壮族自治区药用植物园