Logarithmic Data Processing Can Be Used Justifiably in the Plotting of a Calibration Curve
Abstract
The article is a response to a recent opinion piece that log concentration values should not be applied in analytical chemistry. An essential aim in the development of analytical chemistry methods is to obtain more sensitive and accurate detection values. For the application of chemical analysis methods, the obtained experiment data need to fit with the mathematical functions in the first place. As influenced by different detection principles and analytical methods, data can be displayed in a coordinate system with two linear axes for linear function fitting, or the data can first be taken through a logarithmic transformation and then for function fitting. Using raw data or data after logarithmic transformation primarily depends on analytical principles, without special rules of data formats. For example, ultraviolet-visible spectrophotometric data are more suitable for direct linear fitting. However, enzyme-catalyzed reaction or electrochemical data in logarithmic form are more appropriate for function fitting. This transformation of data form will not affect the soundness of fit statistics; rather, it simplifies the complexity of function analysis and calculation, which are the essence of analytical chemistry. In this brief article, we provide justification and legitimacy of the application of logarithmic processing in various fields of quantitative analytical chemistry.
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The limit of detection of H2O2 is 0.14 nM.
“The limit of detection of H2O2 is determined as 0.14 nM by the ratio of signal intensity to the 3.3 δ , [33] and the detailed calculation is shown in the Supporting Information.”
From Multiplex Cellular Microenvironment Detection Based on Surface-Enhanced Raman Scattering Patch (2025) · cites this paper as [33]
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Self-citation
- Authors
- Kong, D., Zhao, J., Tang, S., Shen, W., & Lee, H. K.
- Affiliations
- Jiangsu University of Science and Technology (CN)
- National University of Singapore (SG)
- Corresponding author
- Tang, Sheng
- Lee, Hian Kee
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2021-08-30
- Volume
- 93
- Issue
- 36
- Pages
- 12156-12161
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W3196989348
- Cited by
- 119
- References
- 33
- Citations by year
- 2026: 15 · 2025: 24 · 2024: 35 · 2023: 29 · 2022: 13 · 2021: 3
- FWCI
- 10.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Analytical Chemistry (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Natural Science Foundation of Jiangsu Province (BK20170570, BK20180979)
- National Natural Science Foundation of China (21605105, 21705060, 32001804)
- Emerging science and technology innovation team funding of JUST (1182921902)
- Topics
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Scientific Measurement and Uncertainty Evaluation
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Keywords
- logarithmic transformation, function fitting, data transformation, UV-Vis spectroscopy, enzymatic reactions, electrochemical data, detection sensitivity, quantitative analysis
- MeSH terms
- Calibration
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