کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7608744 | 1493387 | 2018 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Surface fitting for calculating the second dimension retention index in comprehensive two-dimensional gas chromatography mass spectrometry
ترجمه فارسی عنوان
اتصالات سطح برای محاسبه شاخص نگهداری ابعاد دوم در طیف سنجی جرمی کروماتوگرافی جامع دو بعدی
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
چکیده انگلیسی
Comprehensive two-dimensional gas chromatography mass spectrometry (GCâ¯Ãâ¯GC-MS) has been widely used for analysis of volatile compounds. However, the second dimension retention index (I) of each compound is not widely used to aid compound identification owing to the limited accuracy of I calculation. We report a surface fitting approach to the calculation of I using n-alkanes (C7-C30) as references, where the second dimension retention time (2tR) and the second dimension column temperature (2Te) formed the X-Y plane and the I was the Z-axis to form the I surface. Compared to the conventional approach for calculating I using isovolatility curves, the surface fitting approach eliminated the construction of isovolatility curves for the reference compounds and gives better reproducibility. The goodness of the proposed surface fitting achieved R2â¯=â¯0.9999 and RMSEâ¯=â¯6.1 retention index units (iu). Ten-fold cross validation demonstrated the surface fitting approach had a good predictability with average R2â¯=â¯0.9999 and RMSEâ¯=â¯6.6 iu. The developed method was also applied to calculate the second dimension retention indices of compound standards in two commercial mixtures MegaMix A and MegaMix B. The mean standard deviation of the calculated I was only 1.6 iu for compounds in MegaMix A and 3.4 iu for compounds in MegaMix B. Compared with the literature results, the small value of standard deviation in the calculated retention index using surface fitting method shows that the surface fitting method has less measurement variability than the conventional isovolatility curve approach.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Chromatography A - Volume 1539, 2 March 2018, Pages 62-70
Journal: Journal of Chromatography A - Volume 1539, 2 March 2018, Pages 62-70
نویسندگان
Md Aminul Islam Prodhan, Xinmin Yin, Seongho Kim, Craig McClain, Xiang Zhang,