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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.<br> <br>
| | With version 1.04 of the mat2dcorr toolbox, besides hyperspectral imaging data in the CytoSpec data format and Matlab trace files, spectra data from MS Excel spreadsheets can now be loaded. MS Excel spreadsheets should contain spectra series in a 2D data format where the spectra must be arranged as columns and the wavenumber vectors as rows. It is also important that the first row contains the vector with the data entries of the perturbing variable (temperature, pressure, etc.). The first column should contain the y-vector (wavenumber, frequencies, Raman shift vector) starting from row no. 2. <br> |
| The 2D-COS analysis technique has been initially developed by [https://en.wikipedia.org/wiki/Isao_Noda Isao Noda] in the 1980s. | |
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| | In order to use own data by means of the MS Excel import function, it is recommended to analyze the structure of the example file ''linescandata.xlsx'' and to replace the spectral data contained therein with own data. <br> |
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| | Wikipedia link: [https://en.wikipedia.org/wiki/Two-dimensional_correlation_analysis Two-dimensional correlation analysis]
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| </ul></ul>
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| __FORCETOC__
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| == Relevant Publications ==
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| '''Main concepts of two-dimensional correlation analysis'''<br>
| | To load MS Excel trace files select Load Data → Excel data format → x-data, or y-data from the Load Data menu bar. <br> <br> |
| Basic principles of generalized 2D correlation spectroscopy are outlined in the following series of scientific publications: <br>
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| <ul>
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| <li>Noda, I..<br>
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| [https://doi.org/10.1366/0003702904087398 Two-Dimensional Infrared (2D IR) Spectroscopy: Theory and Applications],<br>
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| '''1990''' ''Appl Spectrosc''. 44(4): 550-561.</li>
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| <li>Noda, I.<br>
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| [https://doi.org/10.1366/0003702934067694 Generalized Two-Dimensional Correlation Method Applicable to Infrared, Raman, and other Types of Spectroscopy],<br>
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| '''1993''' ''Appl Spectrosc''. 47(9): 1329-1336.</li>
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| <li>Noda, I.<br>
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| [https://doi.org/10.1366/0003702001950472 Determination of Two-Dimensional Correlation Spectra Using the Hilbert Transform],<br>
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| '''2000''' ''Appl Spectrosc''. 54(7): 994-999.</li>
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| </ul>
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| <br>
| | [[File:trace-file-format.jpg|400px|thumb|Variables present in a Matlab trace file]] |
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| == Publications in which the mat2dcorr toolbox has been used or mentioned == | | == Download test file == |
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| <ol>
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| <li>Lasch, P. and I. Noda '''2017'''<br>
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| [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>
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| ''Anal Chem''. 89(9): 5008-5016.</li>
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| <li>Lasch, P. and I. Noda '''2019''' <br>
| | Download MS Excel test file ''linescandata.xlsx'': [http://www.peter-lasch.de/2dcorr/linescandata.xlsx https://wiki2dcos.microbe-ms.com/linescandata.xlsx]<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>
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| <li>Sun, Y., Wang, X., Xia, S., & Zhao, J. '''2021'''<br>
| | == Related links == |
| [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>
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| C''hemical Engineering Journal'', 416, 129085.<br>
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| </li>
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| <li>Singh, R., Yadav, V., & Siddhanta, S. '''2023'''<br>
| | * [[Matlab_Imaging_Format|Import data in the CytoSpec imaging format (CytoSpec/Matlab)]] |
| [https://doi.org/10.1039/D2CP05705K Probing plasmon-induced surface reactions using two-dimensional correlation vibrational spectroscopy].<br> | | * [[Matlab_Trace_Format|Import data in the trace format (Matlab)]] |
| ''Physical Chemistry Chemical Physics'', 25(8), 6032-6043.</li>
| | * [[Format_of_a_2D-COS_Result_File|Format of a 2D-COS result file (Matlab)]] |
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| <li>Amato, J., Iaccarino, N., D'Aria, F., D'Amico, F., Randazzo, A., Giancola, C., ... & Pagano, B. '''2022'''.<br>
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| [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>
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| <li>Pin, J. M., Anstey, A., Park, C. B., & Lee, P. C. '''2020'''<br>
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| [https://pubs.acs.org/doi/10.1021/acs.macromol.0c01819 Exploration of Polymer Calorimetric Glass Transition Phenomenology by Two-Dimensional Correlation Analysis].<br>
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| ''Macromolecules'', 54(1), 473-487.</li>
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| <li>Lan, Z., Zhang, Y., Chen, X., Li, S., Cao, H., Wang, S., & Meng, J. '''2022'''<br>
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| [https://doi.org/10.1007/s12161-022-02245-y Efficient Detection of Limonoid From Citrus Seeds by Handheld NIR: Compared with Benchtop NIR].<br>
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| ''Food Analytical Methods'', 15(7), 1909-1921.</li>
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| <li>Chavez-Angel, E., Puertas, B., Kreuzer, M., Soliva Fortuny, R., Ng, R. C., Castro-Alvarez, A., & Sotomayor Torres, C. M. '''2022'''<br>
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| [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>
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| <li>Park, Y., Jin, S., Noda, I., & Jung, Y. M. '''2022'''<br>
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| [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>
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| <li>Park, Y., Jin, S., Noda, I., & Jung, Y. M. '''2020'''<br>
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| [https://doi.org/10.1016/j.molstruc.2020.128405 Emerging developments in two-dimensional correlation spectroscopy (2D-COS)].<br>
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| ''Journal of Molecular Structure'', 1217, 128405.</li>
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| </ol>
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| == Acknowledgement ==
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| 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]).
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| In addition, I kindly ask to acknowledge utilization of the mat2dcorr toolbox by citing the following paper: <br> <br>
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| <ul><ul>
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| {| class="wikitable" width=800
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| | [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
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| |}
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| <br>
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| </ul></ul>
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| Bug reports are welcome! ([mailto:lasch@peter-lasch.de e-mail])
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