Mat2dcorr - Relevant Publications: Difference between revisions
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<li>Pin, J. M., Anstey, A., Park, C. B., & Lee, P. C. '''2020'''<br> | <li>Pin, J. M., Anstey, A., Park, C. B., & Lee, P. C. '''2020'''<br> | ||
[ https://pubs.acs.org/doi/10.1021/acs.macromol.0c01819 Exploration of Polymer Calorimetric Glass Transition Phenomenology by Two-Dimensional Correlation Analysis].<br> | [https://pubs.acs.org/doi/10.1021/acs.macromol.0c01819 Exploration of Polymer Calorimetric Glass Transition Phenomenology by Two-Dimensional Correlation Analysis].<br> | ||
''Macromolecules'', 54(1), 473-487.</li> | ''Macromolecules'', 54(1), 473-487.</li> | ||
Revision as of 17:51, 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.
Wikipedia link to 2D-COS: Two-dimensional correlation analysis |
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:
- Noda, I..
Two-Dimensional Infrared (2D IR) Spectroscopy: Theory and Applications,
1990 Appl Spectrosc. 44(4): 550-561. - Noda, I.
Generalized Two-Dimensional Correlation Method Applicable to Infrared, Raman, and other Types of Spectroscopy,
1993 Appl Spectrosc. 47(9): 1329-1336. - Noda, I.
Determination of Two-Dimensional Correlation Spectra Using the Hilbert Transform,
2000 Appl Spectrosc. 54(7): 994-999.
Publications in which the mat2dcorr toolbox has been used or mentioned
(application of heterospectral 2D-COS to spatially resolved hyperspectral imaging data sets)
- 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. - 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. - 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. - 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. - 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
[https://doi.org/10.1016/j.saa.2022.121750 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:
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 |
Bug reports are welcome! (e-mail)