Comprehensive two-dimensional gas chromatography (GC×GC) retention time shift correction and modeling using bilinear peak alignment, correlation optimized shifting and multivariate curve resolution

• Published in: Chemometrics and intelligent laboratory systems Vol. 117; pp. 80 - 91
• Main Authors: Parastar, Hadi, Jalali-Heravi, Mehdi, Tauler, Roma
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.08.2012
• Subjects: Bilinear peak alignment; Comprehensive two-dimensional gas chromatography; Multivariate curve resolution-alternating least squares; Peak alignment; Retention time shift; Retention time shift; Multivariate curve resolution-alternating least squares; Bilinear peak alignment; Comprehensive two-dimensional gas chromatography; Peak alignment
• ISSN: 0169-7439; 1873-3239
• DOI: 10.1016/j.chemolab.2012.02.003

A combination of peak alignment methods and multivariate curve resolution (MCR) is proposed for handling retention time shifts and modeling of comprehensive two-dimensional gas chromatographic (GC×GC) data in the case of univariate detection systems such as in flame ionization detection (FID) or in total ion current mass spectrometry (TIC-MS) detection. A new bilinear peak alignment (BPA) method, based on MCR, is first proposed to correct for progressive within run retention time shifts in GC×GC due to temperature programming effects on second chromatographic dimension. The performance of the proposed peak alignment method is compared to that of the correlation optimized warping (COW) method. In addition, Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) method, under proper constraints, is also proposed to analyze the augmented GC×GC data matrix for the resolution and quantification of target compounds in complex samples when incomplete separation and co-elution problems exist. For those difficult cases in which large between GC×GC run retention time shifts exist in both dimensions, a preliminary between runs first dimension peak alignment method by Correlation Optimized Shifting (COShift) is used to preserve the bilinearity model assumption needed for MCR-ALS application. The results showed the successful application of the proposed strategy for resolution and quantification of some target compounds in GC×GC analysis of simulated and of real samples. ► A new bilinear peak alignment (BPA) method is proposed to correct retention time shifts within GC×GC runs. ► Correlation optimized shifting (COShift) is used to correct retention time shifts between GC×GC runs. ► The GC×GC data for different samples is column-wise augmented with common first column retention times. ► MCR-ALS is proposed for resolution and quantification of GC×GC data of multiple samples. ► The GC×GC-FID and GC×GC-TIC data of real samples are analyzed successfully using proposed strategy.