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The Scientific World Journal
Volume 2013, Article ID 241585, 11 pages
Research Article

A Statistical Estimation Approach for Quantitative Concentrations of Compounds Lacking Authentic Standards/Surrogates Based on Linear Correlations between Directly Measured Detector Responses and Carbon Number of Different Functional Groups

Atmospheric Environment Laboratory, Department of Environment & Energy, Sejong University, Seoul 143-747, Republic of Korea

Received 8 March 2013; Accepted 10 April 2013

Academic Editors: H. Filik and J. Jia

Copyright © 2013 Yong-Hyun Kim and Ki-Hyun Kim. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Table 1S: Preparation of liquid phase standard of 19 VOC for the analysis by the TD-GC-MS based analysis in this study.

Table 2S: List of the 54 VOCs investigated in previous study (Exp-DI and -SPME) by Ahn et al. [4].

Table 3S: Results of the projected RF values derived by simplification of projected grouping.

Table 4S: Operational conditions of GC-MS system for the analysis of reference VOCs in previous study of Ahn et al. [4].

Table 5S: Comparison of percent difference (PD) between actual and predicted response factor (RF) values for all (n=49) or two chemical groups (n=41) in relation to three major variables of reference VOCs used for prediction: (1) carbon number, (2) molecular weight, and (3) boiling point (Ahn et al. [4]).

Table 6S: Assessment of the least PD values between the actual and projected RF values for arbitrarily divided chemical groups based on linear regression analysis using Exp-DI and-SPME data (Ahn et al. [4]).

Table 7S: Results of the minimum percent difference (PD) values between the best projected and actual RF in the study of Ahn et al. [4].

Fig. 1S: The correlations between RF values and key variables (A. carbon number, B. molecular weight, and C. boiling point) in Ahn et al. [4].

  1. Supplementary Materials