Mat2dcorr - Relevant Publications: Difference between revisions

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[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>
'''2019''' ''Appl Spectrosc''. 73(4): 359-379.</li>
'''2019''' ''Appl Spectrosc''. 73(4): 359-379.</li>
<li>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.</li>
<li>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.</li>
<li>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.</li>
<li>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.</li>
<li>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.</li>
<li>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.</li>
<li>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.</li>
<li>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.</li>
</ul>
</ul>



Revision as of 16:35, 2 April 2023

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 with application of the mat2dcorr toolbox
(application of heterospectral 2D-COS to spatially resolved hyperspectral imaging data sets)

  • Lasch, P. and I. Noda
    Two-Dimensional Correlation Spectroscopy for Multimodal Analysis of FT-IR, Raman, and MALDI-TOF MS Hyperspectral Images with Hamster Brain Tissue,
    2017 Anal Chem. 89(9): 5008-5016.
  • Lasch, P. and I. Noda
    Two-Dimensional Correlation Spectroscopy (2D-COS) for Analysis of Spatially Resolved Vibrational Spectra,
    2019 Appl Spectrosc. 73(4): 359-379.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Acknowledgement

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)