Mat2dcorr - Relevant Publications

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Two-dimensional correlation spectroscopy (2D-COS), or two-dimensional correlation analysis is known as a set of mathematical techniques useful to study changes in dynamic spectra. Dynamic spectra are often represented by spectra series obtained from a sample that was subjected to an external perturbation.
The 2D-COS analysis technique has been initially developed by Isao Noda in the 1980s.

Relevant Publications

Main concepts of two-dimensional correlation analysis
Basic principles of generalized 2D correlation spectroscopy are outlined in the following series of scientific publications:

Publications in which the mat2dcorr toolbox has been used or mentioned

  1. Lasch, P. and I. Noda 2017
    Two-Dimensional Correlation Spectroscopy for Multimodal Analysis of FT-IR, Raman, and MALDI-TOF MS Hyperspectral Images with Hamster Brain Tissue.
    Anal Chem. 89(9): 5008-5016.
  2. Lasch, P. and I. Noda 2019
    Two-Dimensional Correlation Spectroscopy (2D-COS) for Analysis of Spatially Resolved Vibrational Spectra.
    Appl Spectrosc. 73(4): 359-379.
  3. Pin, J. M., Anstey, A., Park, C. B., & Lee, P. C. 2020
    Exploration of Polymer Calorimetric Glass Transition Phenomenology by Two-Dimensional Correlation Analysis.
    Macromolecules, 54(1), 473-487.
  4. Park, Y., Jin, S., Noda, I., & Jung, Y. M. 2020
    Emerging developments in two-dimensional correlation spectroscopy (2D-COS).
    Journal of Molecular Structure, 1217, 128405.
  5. Sun, Y., Wang, X., Xia, S., & Zhao, J. 2021
    New insights into oxytetracycline (OTC) adsorption behavior on polylactic acid microplastics undergoing microbial adhesion and degradation
    Chemical Engineering Journal, 416, 129085.
  6. Amato, J., Iaccarino, N., D'Aria, F., D'Amico, F., Randazzo, A., Giancola, C., ... & Pagano, B. 2022.
    Conformational plasticity of DNA secondary structures: Probing the conversion between i-motif and hairpin species by circular dichroism and ultraviolet resonance Raman spectroscopies.
    Physical Chemistry Chemical Physics, 24(11), 7028-7044.
  7. Lan, Z., Zhang, Y., Chen, X., Li, S., Cao, H., Wang, S., & Meng, J. 2022
    Efficient Detection of Limonoid From Citrus Seeds by Handheld NIR: Compared with Benchtop NIR.
    Food Analytical Methods, 15(7), 1909-1921.
  8. Chavez-Angel, E., Puertas, B., Kreuzer, M., Soliva Fortuny, R., Ng, R. C., Castro-Alvarez, A., & Sotomayor Torres, C. M. 2022
    Spectroscopic and thermal characterization of extra virgin olive oil adulterated with edible oils.
    Foods, 11(9), 1304.
  9. Park, Y., Jin, S., Noda, I., & Jung, Y. M. 2022
    Continuing progress in the field of two-dimensional correlation spectroscopy (2D-COS), part II. Recent noteworthy developments.
    Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 121750.
  10. Singh, R., Yadav, V., & Siddhanta, S. 2023
    Probing plasmon-induced surface reactions using two-dimensional correlation vibrational spectroscopy.
    Physical Chemistry Chemical Physics, 25(8), 6032-6043.
  11. Peng, S., F. Wang, D. Wei, C. Wang, et al.,2023
    Application of FTIR two-dimensional correlation spectroscopy (2D-COS) analysis in characterizing environmental behaviors of microplastics: A systematic review.
    Journal of Environmental Sciences
  12. Singh, R., V. Yadav, and S. Siddhanta,2023
    Probing plasmon-induced surface reactions using two-dimensional correlation vibrational spectroscopy.
    Phys Chem Chem Phys, . 25(8): p. 6032-6043.
  13. Chavez-Angel, E., R.C. Ng, S. Sandell, J. He, et al.,2023
    Application of Synchrotron Radiation-Based Fourier-Transform Infrared Microspectroscopy for Thermal Imaging of Polymer Thin Films.
    Polymers (Basel), . 15(3).
  14. Mite-Guzmán, N., M. Lazo, J. Triguero, A. Damián, et al., 2023
    Two-dimensional infrared for monitoring the structural variations of UV-aged recycled polypropylene straps used in the Ecuadorian banana industry.
    Case Studies in Chemical and Environmental Engineering,. 7: p. 100359.


mat2dcorr is an open source software project which has been initiated and is maintained by Peter Lasch at the Proteomics and Spectroscopy unit at the Robert Koch-Institute (Berlin/Germany). The Matlab-based mat2dcorr toolbox is distributed under the Creative Commons CC BY-NC-SA 4.0 license for non-commercial use. Please send references to any publications, presentations, or successful funding applications that make use of the mat2Dcorr toolbox (e-mail).

In addition, I kindly ask to acknowledge utilization of the mat2dcorr toolbox by citing the following paper:

Bug reports are welcome! (e-mail)