Methodology Discussion and Accuracy Analysis of the Working Curve Measurement Based Calculation
CHE Zi-Liang1,2, WANG Zhipeng A3,4*, JIANG Zhen-Xiong5, WANG Peng6, YIN Sheng7, MA Xin-Yu4, XU Bing8
1. Department of Mathematics, Harvard University; 1 Oxford St. Cambridge MA 02138, USA;
2. Citadel Securities, LLC; 131 South Dearborn St. Chicago Illinois 60603, USA;
3. Division of Genetics, Department of Medicine, Brigham and Women's Hospital; Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA;
4. Department of Chemistry, Texas A&M University, College Station, TX 77840, USA;
5. Department of Biology, Texas A&M University, College Station, TX 77840, USA;
6. Department of Burn Surgery, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China;
7. Nutrition/Metabolism Laboratory, Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02138, USA;
8. Department of Plant and Pathology and Microbiology, Texas A&M University, College Station, TX 77840, USA
Abstract Working curve has an important role in scientific quantitative analysis. However, the question about how to utilize existing data for the most accurate result remains unsolved and debatable. Especially when we use the data from the working curve for further calculation, different methods can lead to different errors. Thispaper introduced and contrasted the accuracy of four calculation methods: direct average, weighed average, quadratic regression, and co-regression, through theoretical analysis and experiments. Futhermore, their advantages and disadvantages were summarized as well as the range of application, in order to bring some inspiration to the lecturing and research by scientific workers.
CHE Zi-Liang, WANG Zhipeng A, JIANG Zhen-Xiong, WANG Peng, YIN Sheng, MA Xin-Yu, XU Bing. Methodology Discussion and Accuracy Analysis of the Working Curve Measurement Based Calculation[J]. Chinese Journal of Chemical Education, 2020, 41(16): 101-106.
