Comprehensive two-dimensional gas chromatography combined to multivariate data analysis for detection of disease-resistant clones of Eucalyptus
详细信息 查看全文
- 作者：Le ; ro Wang Hantao ; Bruna Regina Toledo ; Fabiana Alves de Lima Ribeiro ; Marilia Pizetta ; Caroline Geraldi Pierozzi ; Edson Luiz Furtado ; Fabio Augusto
- 关键词：Comprehensive two-dimensional gas chromatography ; Mass spectrometry ; Metabolic profile ; Parallel factor analysis ; Puccinia psidii ; Resistance biomarkers
- 刊名：Talanta
- 出版年：15 November, 2013
- 年：2013
- 卷：116
- 期：Complete
- 页码：1079-1084
- 全文大小：921 K
文摘
In this paper it is reported the use of the chromatographic profiles from volatile fractions of plant clones - in this case, hybrids of Eucalyptus grandis脳Eucalyptus urophylla - to determine specimens susceptible to rust disease. The analytes were isolated by headspace solid phase microextraction (HS-SPME) and analyzed by comprehensive two-dimensional gas chromatography combined to fast quadrupole mass spectrometry (GC脳GC-qMS). Parallel Factor Analysis (PARAFAC) was employed for estimate the correlation between the chromatographic profiles and resistance against Eucalyptus rust, after preliminary variable selection performed by Fisher ratio analysis. The proposed method allowed the differentiation between susceptible and non-susceptible clones and determination of three resistance biomarkers. This approach can be a valuable alternative for the otherwise time-consuming and labor-intensive methods commonly used.