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Updated: May 6, 2026

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
Published on: September 2, 2020
Comprehensive two-dimensional gas chromatography combined to multivariate data analysis for detection of
Leandro Wang Hantao1, Bruna Regina Toledo, Fabiana Alves de Lima Ribeiro
1Institute of Chemistry, University of Campinas (Unicamp) and Instituto Nacional de Ciência e Tecnologia em Bioanalítica (INCTBio), IQ, Unicamp, CP 6154, 13084-971 Campinas, São Paulo, Brazil.
Abstract:
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×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×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.
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