Mat2dcorr - Relevant Publications: Difference between revisions

From 2D-COS Wiki
Jump to navigation Jump to search
No edit summary
 
(20 intermediate revisions by the same user not shown)
Line 1: Line 1:
[[File:GraphAbstr.gif|400px|thumb|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.<br> &nbsp;<br>
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.<br> &nbsp;<br>
The 2D-COS analysis technique has been initially developed by [https://en.wikipedia.org/wiki/Isao_Noda Isao Noda] in the 1980s.  
The 2D-COS analysis technique has been initially developed by [https://en.wikipedia.org/wiki/Isao_Noda Isao Noda] in the 1980s.  


<ul><ul>
    Wikipedia link: [https://en.wikipedia.org/wiki/Two-dimensional_correlation_analysis Two-dimensional correlation analysis]
{| class="wikitable" width=800
 
|-
| Wikipedia link to 2D-COS: [https://en.wikipedia.org/wiki/Two-dimensional_correlation_analysis Two-dimensional correlation analysis]
|}
&nbsp; <br>
</ul></ul>
__FORCETOC__
__FORCETOC__
== Relevant Publications ==
== Relevant Publications ==
Line 26: Line 23:
</ul>
</ul>


&nbsp;<br>
== Publications in which the mat2dcorr toolbox has been used or mentioned ==
<br>
<ol>
 
<li>Sonoiki, D.S., K. Kwarkye, K.M. Sorensen, S.B. Engelsen, et al., <b>2024</b><br>
[https://www.ncbi.nlm.nih.gov/pubmed/39686592 Single-Path Supercontinuum Near- to Mid-Infrared Correlation Spectroscopy of Aqueous Samples.] <br>
''Applied Spectroscopy'',  p. 37028241302352.</li>
 
<li>Dabrowska, A., A. Schwaighofer, and B. Lendl. '''2024'''<br>
[https://www.ncbi.nlm.nih.gov/pubmed/38881172 Mid-Infrared Dispersion Spectroscopy as a Tool for Monitoring Time-Resolved Chemical Reactions on the Examples of Enzyme Kinetics and Mutarotation of Sugars]<br>
''Applied Spectroscopy''. 37028241258109.</li>
 
<li> Parpal, M., El Sachat, A., Sotomayor Torres, C.M., et al., '''2024'''<br>
[https://doi.org/10.1016/j.diamond.2023.110541 In situ Raman analysis of reduced-graphene oxide-based electroactive nanofluids.] <br>
''Diamond and Related Materials'',. 141: p. 110541.</li>
 
<li>Mite-Guzmán, N., M. Lazo, J. Triguero, A. Damián, et al., '''2023'''<br>
[https://doi.org/10.1016/j.cscee.2023.100359 Two-dimensional infrared for monitoring the structural variations of UV-aged recycled polypropylene straps used in the Ecuadorian banana industry.] <br>
''Case Studies in Chemical and Environmental Engineering'',. 7: p. 100359.</li>


'''Publications with application of the mat2dcorr toolbox'''<br>  
<li>Chavez-Angel, E., R.C. Ng, S. Sandell, J. He, et al.,'''2023'''<br>
(application of heterospectral 2D-COS to spatially resolved hyperspectral imaging data sets) <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>
<ul>
''Polymers (Basel)'', . 15(3).</li>
<li>Lasch, P. and I. Noda <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>
<li>Singh, R., V. Yadav, and S. Siddhanta,'''2023'''<br>
'''2017''' ''Anal Chem''. 89(9): 5008-5016.</li>
[https://www.ncbi.nlm.nih.gov/pubmed/36779479 Probing plasmon-induced surface reactions using two-dimensional correlation vibrational spectroscopy.] <br>
<li>Lasch, P. and I. Noda <br>
''Phys Chem Chem Phys'', . 25(8): p. 6032-6043.</li>
[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>
<li>Peng, S., F. Wang, D. Wei, C. Wang, et al.,'''2023'''<br>
</ul>
[https://dx.doi.org/10.1016/j.jes.2023.10.004 Application of FTIR two-dimensional correlation spectroscopy (2D-COS) analysis in characterizing environmental behaviors of microplastics: A systematic review.] <br>
''Journal of Environmental Sciences''</li>
 
<li>Singh, R., Yadav, V., & Siddhanta, S. '''2023'''<br>
[https://doi.org/10.1039/D2CP05705K Probing plasmon-induced surface reactions using two-dimensional correlation vibrational spectroscopy].<br>
''Physical Chemistry Chemical Physics'', 25(8), 6032-6043.</li>
 
<li>Park, Y., Jin, S., Noda, I., & Jung, Y. M. '''2022'''<br>
[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].<br>
''Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy'', 121750.</li>
 
<li>Chavez-Angel, E., Puertas, B., Kreuzer, M., Soliva Fortuny, R., Ng, R. C., Castro-Alvarez, A., & Sotomayor Torres, C. M. '''2022'''<br>
[https://doi.org/10.3390/foods11091304 Spectroscopic and thermal characterization of extra virgin olive oil adulterated with edible oils].<br>
''Foods'', 11(9), 1304.</li>
 
<li>Lan, Z., Zhang, Y., Chen, X., Li, S., Cao, H., Wang, S., & Meng, J. '''2022'''<br>
[https://doi.org/10.1007/s12161-022-02245-y Efficient Detection of Limonoid From Citrus Seeds by Handheld NIR: Compared with Benchtop NIR].<br>
''Food Analytical Methods'', 15(7), 1909-1921.</li>
 
<li>Amato, J., Iaccarino, N., D'Aria, F., D'Amico, F., Randazzo, A., Giancola, C., ... & Pagano, B. '''2022'''.<br>
[https://doi.org/10.1039/D2CP00058J Conformational plasticity of DNA secondary structures: Probing the conversion between i-motif and hairpin species by circular dichroism and ultraviolet resonance Raman spectroscopies].<br>
''Physical Chemistry Chemical Physics'', 24(11), 7028-7044.</li>
 
<li>Sun, Y., Wang, X., Xia, S., & Zhao, J. '''2021'''<br>
[https://doi.org/10.1016/j.cej.2021.129085 New insights into oxytetracycline (OTC) adsorption behavior on polylactic acid microplastics undergoing microbial adhesion and degradation]<br>  
C''hemical Engineering Journal'', 416, 129085.<br>
</li>
 
<li>Park, Y., Jin, S., Noda, I., & Jung, Y. M. '''2020'''<br>
[https://doi.org/10.1016/j.molstruc.2020.128405 Emerging developments in two-dimensional correlation spectroscopy (2D-COS)].<br>
''Journal of Molecular Structure'', 1217, 128405.</li>
 
<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>
''Macromolecules'', 54(1), 473-487.</li>
<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>
''Appl Spectrosc''. 73(4): 359-379.</li>
 
<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>
''Anal Chem''. 89(9): 5008-5016.</li>
</ol>


== Acknowledgement ==
== 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 [http://www.rki.de/EN/Content/Institute/DepartmentsUnits/CenterBioSafety/zbs6/zbs6_node.html ''Proteomics and Spectroscopy''] unit at the [http://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]).  
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>
In addition, I kindly ask to acknowledge utilization of the mat2dcorr toolbox by citing the following paper: <br> &nbsp; <br>

Latest revision as of 15:04, 9 April 2025

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


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. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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).
  6. 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.
  7. 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
  8. 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.
  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. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.

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)

Retrieved from "https://wiki2dcos.microbe-ms.com/index.php?title=Mat2dcorr_-_Relevant_Publications&oldid=152"