A novel strategy that combines the chemometrics method with high performance liquid chromatography with fluorescence detector (HPLC–FLD) was developed for the simultaneous determination of seven phenolic antioxidants in six kinds of oil samples. After a simple dilution step, oil samples can be directly injected into the detecting system and the data were measured in a short time with a chromatographic system operating in the gradient elution mode. Since the chromatographic and spectral peaks among interesting analytes and interferences were heavily overlapped, second-order calibration method based on alternating trilinear decomposition (ATLD) algorithm which fully exploiting the second-order advantage was adopted. Successful resolution was obtained in the presence of different matrix interferences in different oil samples, and the developed approach allows the quantification of the antioxidants at levels found in edible vegetable oils, without the necessity of applying either preconcentration or extraction steps, moreover, a column washing is also not required. Meanwhile, the effectiveness and reproducibility of the proposed method were also validated by some statistical parameters like root mean squared error of prediction (RMSEP), limits of detection (LOD) and relative standard deviation (RSD). Then the proposed method was compared with several commonly selected methods in sample preparation, elution time and LOD.
Xiao-Hua Zhang,Qian Zhou,Zhi Liu,Xiang-Dong Qing,Jing-Jing Zheng,Shu-Ting Mu,Pan-Hua Liu
Retention time shifts in second-order calibration-assisted chromatographic analysis seriously impact the modeling and quantitative accuracies in complex systems. In this work, three second-order methods, i.e. alternating trilinear decomposition (ATLD) algorithm, multivariate curve resolution-alternating least squares (MCR-ALS), alternating trilinear decomposition-assisted multivariate curve resolution (ATLD-MCR), were compared their performance to process liquid chromatographic data in the presence of retention time shifts and overlapped peaks. Firstly, the validation samples contain five tea polyphenols at three concentrate levels within the calibration ranges, helped to understand, visualize and interpret these features of three second-order multivariate methods. Secondly, experimental data were studied concerning the determination of polyphenols in Chinese tea samples by HPLC-DAD. The results showed that all three second-order multivariate methods realized satisfactory quantification for five targeted analytes in Pu-Er ripe tea samples and Green tea samples even with the interference of slight retention time shifts, average recoveries were 91.23% –113.16% for ATLD, 89.96%–115.96% for ATLD-MCR, 90.64%–117.60% for MCR-ALS, respectively. However, ATLD was disappointing in the case of larger time shifts (approx. 4.00 s and 6.40 s) occurring for the quantitative analysis of Black tea and Clinacanthus nutans tea, the average recoveries were just 67.33–84.05%. Relatively, MCR-ALS and ATLD-MCR were more significantly excellent, satisfactory results still can be obtained, the average recoveries for MCR-ALS and ATLD-MCR were in the range of 86.04–117.60% and 89.96–115.96%, respectively.
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