Mat2dcorr - Relevant Publications: Difference between revisions

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== Acknowledgements ==
mat2dcorr is an open source software project which has been initiated and is maintained by [http://www.peter-lasch.de Peter Lasch] at the [https://www.rki.de/EN/Institute/Organisation/Departments/ZBS/ZBS6/zbs6-proteomics-and-spectroscopy-node.html ''Proteomics and Spectroscopy''] unit at the [https://www.rki.de ''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 ([mailto:lasch@peter-lasch.de e-mail]).
In addition, I kindly ask to acknowledge utilization of the mat2dcorr toolbox by citing the following paper: <br> &nbsp; <br>
<ul><ul>
{| class="wikitable" width=800
|-
| [http://doi.org/10.1177/0003702818819880 Two-Dimensional Correlation Spectroscopy (2D-COS) for Analysis of Spatially Resolved Vibrational Spectra]. Lasch, P. and Noda, I. ''Appl Spectrosc''. '''2019'''.  73(4): 359-379. doi:10.1177/0003702818819880
|}
&nbsp; <br>
</ul></ul>
Bug reports are welcome! ([mailto:lasch@peter-lasch.de e-mail])
== Relevant Publications ==
== Relevant Publications ==


Line 25: Line 41:
== Publications in which the mat2dcorr toolbox has been used or mentioned ==
== Publications in which the mat2dcorr toolbox has been used or mentioned ==
<br>
<br>
<ol start="17" reversed="reversed">
<ol start="20" reversed="reversed">
 
<li>Mirveis, Z., Patil, N., Byrne, H. J. '''2026''' <br>
[https://www.ncbi.nlm.nih.gov/pubmed/41376466 Elucidating Time-Resolved Intracellular Metabolic Dynamics Via Label-Free Raman Microspectroscopy and 2D Correlation Spectroscopy.]<br>
''Analyst''. 151(2): 577–588.</li>
 
<li>Rico, J.J., Dernbecher, A., de la Rosa, J.M., Hilfert, L., Almuina-Villar, H., Kulak, N, Lucia, S., Dieguez-Alonso, A. '''2025'''<br>
[https://dx.doi.org/10.1016/j.jaap.2025.107201 Investigation on the impact of potassium and mild transport limitations on the pyrolysis behavior of beech wood and its macrocomponents].<br>
Journal of Analytical and Applied Pyrolysis 192: 107201.</li>
 
<li>Wilbert, D., Voigt, M., Jaeger, M. '''2025''' <br>
[https://www.ncbi.nlm.nih.gov/pubmed/40478288 A Process Analyzer Assembly for Real-Time Automated Near-Infrared, Raman, and Proton Nuclear Magnetic Resonance Spectroscopic Monitoring Enhanced by Heterocovariance Spectroscopy and Chemometry Applied to a Schiff Base Formation.] <br>
''Analytical and Bioanalytical Chemistry''. 417(25): 5703–5713.</li>
 
<li>Sonoiki, D. S., '''2025'''<br>
[https://orbit.dtu.dk/en/publications/supercontinuum-laser-spectroscopy/ Supercontinuum Laser Spectroscopy.] <br>
''Technical University of Denmark'', PhD Thesis: 134.</li>


<li>Sonoiki, D.S., K. Kwarkye, K.M. Sorensen, S.B. Engelsen, et al.,'''2024'''<br>
<li>Sonoiki, D.S., K. Kwarkye, K.M. Sorensen, S.B. Engelsen, et al.,'''2024'''<br>
Line 46: Line 78:
[https://www.ncbi.nlm.nih.gov/pubmed/36771835 Application of Synchrotron Radiation-Based Fourier-Transform Infrared Microspectroscopy for Thermal Imaging of Polymer Thin Films.] <br>
[https://www.ncbi.nlm.nih.gov/pubmed/36771835 Application of Synchrotron Radiation-Based Fourier-Transform Infrared Microspectroscopy for Thermal Imaging of Polymer Thin Films.] <br>
''Polymers (Basel)'', . 15(3).</li>
''Polymers (Basel)'', . 15(3).</li>
<li>Singh, R., V. Yadav, and S. Siddhanta, '''2023'''<br>
[https://www.ncbi.nlm.nih.gov/pubmed/36779479 Probing plasmon-induced surface reactions using two-dimensional correlation vibrational spectroscopy.] <br>
''Phys Chem Chem Phys'', . 25(8): p. 6032-6043.</li>


<li>Peng, S., F. Wang, D. Wei, C. Wang, et al., '''2023'''<br>
<li>Peng, S., F. Wang, D. Wei, C. Wang, et al., '''2023'''<br>
Line 88: Line 116:


''Macromolecules'', 54(1), 473-487.</li>
''Macromolecules'', 54(1), 473-487.</li>
<li>Lasch, P. and I. Noda '''2019''' <br>
<li>Lasch, P. and I. Noda. '''2019''' <br>
[https://doi.org/10.1177/0003702818819880 Two-Dimensional Correlation Spectroscopy (2D-COS) for Analysis of Spatially Resolved Vibrational Spectra].<br>
[https://doi.org/10.1177/0003702818819880 Two-Dimensional Correlation Spectroscopy (2D-COS) for Analysis of Spatially Resolved Vibrational Spectra].<br>
''Appl Spectrosc''. 73(4): 359-379.</li>
''Appl Spectrosc''. 73(4): 359-379.</li>


<li>Lasch, P. and I. Noda '''2017'''<br>
<li>Lasch, P. and I. Noda. '''2017'''<br>
[https://doi.org/10.1021/acs.analchem.7b00332 Two-Dimensional Correlation Spectroscopy for Multimodal Analysis of FT-IR, Raman, and MALDI-TOF MS Hyperspectral Images with Hamster Brain Tissue].<br>
[https://doi.org/10.1021/acs.analchem.7b00332 Two-Dimensional Correlation Spectroscopy for Multimodal Analysis of FT-IR, Raman, and MALDI-TOF MS Hyperspectral Images with Hamster Brain Tissue].<br>
''Anal Chem''. 89(9): 5008-5016.</li>
''Anal Chem''. 89(9): 5008-5016.</li>
</ol>
</ol>
== Acknowledgements ==
mat2dcorr is an open source software project which has been initiated and is maintained by [http://www.peter-lasch.de Peter Lasch] at the [https://www.rki.de/EN/Institute/Organisation/Departments/ZBS/ZBS6/zbs6-proteomics-and-spectroscopy-node.html ''Proteomics and Spectroscopy''] unit at the [https://www.rki.de ''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 ([mailto:lasch@peter-lasch.de e-mail]).
In addition, I kindly ask to acknowledge utilization of the mat2dcorr toolbox by citing the following paper: <br> &nbsp; <br>
<ul><ul>
{| class="wikitable" width=800
|-
| [http://doi.org/10.1177/0003702818819880 Two-Dimensional Correlation Spectroscopy (2D-COS) for Analysis of Spatially Resolved Vibrational Spectra]. Lasch, P. and Noda, I. ''Appl Spectrosc''. '''2019'''.  73(4): 359-379. doi:10.1177/0003702818819880
|}
&nbsp; <br>
</ul></ul>
Bug reports are welcome! ([mailto:lasch@peter-lasch.de e-mail])

Latest revision as of 10:34, 10 June 2026

mat2dcorr: Illustration of heterospectral 2D-COS (FTIR vs. Raman)

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.

   Wikipedia link: Two-dimensional correlation analysis


Acknowledgements

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)

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. Mirveis, Z., Patil, N., Byrne, H. J. 2026
    Elucidating Time-Resolved Intracellular Metabolic Dynamics Via Label-Free Raman Microspectroscopy and 2D Correlation Spectroscopy.
    Analyst. 151(2): 577–588.
  2. Rico, J.J., Dernbecher, A., de la Rosa, J.M., Hilfert, L., Almuina-Villar, H., Kulak, N, Lucia, S., Dieguez-Alonso, A. 2025
    Investigation on the impact of potassium and mild transport limitations on the pyrolysis behavior of beech wood and its macrocomponents.
    Journal of Analytical and Applied Pyrolysis 192: 107201.
  3. Wilbert, D., Voigt, M., Jaeger, M. 2025
    A Process Analyzer Assembly for Real-Time Automated Near-Infrared, Raman, and Proton Nuclear Magnetic Resonance Spectroscopic Monitoring Enhanced by Heterocovariance Spectroscopy and Chemometry Applied to a Schiff Base Formation.
    Analytical and Bioanalytical Chemistry. 417(25): 5703–5713.
  4. Sonoiki, D. S., 2025
    Supercontinuum Laser Spectroscopy.
    Technical University of Denmark, PhD Thesis: 134.
  5. Sonoiki, D.S., K. Kwarkye, K.M. Sorensen, S.B. Engelsen, et al.,2024
    Single-Path Supercontinuum Near- to Mid-Infrared Correlation Spectroscopy of Aqueous Samples.
    Applied Spectroscopy, p. 37028241302352.
  6. Dabrowska, A., A. Schwaighofer, and B. Lendl. 2024
    Mid-Infrared Dispersion Spectroscopy as a Tool for Monitoring Time-Resolved Chemical Reactions on the Examples of Enzyme Kinetics and Mutarotation of Sugars
    Applied Spectroscopy. 37028241258109.
  7. Parpal, M., El Sachat, A., Sotomayor Torres, C.M., et al., 2024
    In situ Raman analysis of reduced-graphene oxide-based electroactive nanofluids.
    Diamond and Related Materials,. 141: p. 110541.
  8. 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.
  9. 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).
  10. 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
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.