Sample presentation, sources of error and future perspectives on the application of vibrational spectroscopy in the wine industry
Vibrational spectroscopy encompasses a number of techniques and methods including ultra‐violet, visible, Fourier transform infrared or mid infrared, near infrared and Raman spectroscopy. The use and application of spectroscopy generates spectra containing hundreds of variables (absorbances at each w...
Ausführliche Beschreibung
Autor*in: |
Cozzolino, Daniel [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
Erschienen: |
2015 |
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Rechteinformationen: |
Nutzungsrecht: © 2014 Society of Chemical Industry © 2014 Society of Chemical Industry. |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Journal of the science of food and agriculture - Chichester : Wiley, 1950, 95(2015), 5, Seite 861-868 |
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Übergeordnetes Werk: |
volume:95 ; year:2015 ; number:5 ; pages:861-868 |
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DOI / URN: |
10.1002/jsfa.6733 |
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520 | |a Vibrational spectroscopy encompasses a number of techniques and methods including ultra‐violet, visible, Fourier transform infrared or mid infrared, near infrared and Raman spectroscopy. The use and application of spectroscopy generates spectra containing hundreds of variables (absorbances at each wavenumbers or wavelengths), resulting in the production of large data sets representing the chemical and biochemical wine fingerprint. Multivariate data analysis techniques are then required to handle the large amount of data generated in order to interpret the spectra in a meaningful way in order to develop a specific application. This paper focuses on the developments of sample presentation and main sources of error when vibrational spectroscopy methods are applied in wine analysis. Recent and novel applications will be discussed as examples of these developments. © 2014 Society of Chemical Industry | ||
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10.1002/jsfa.6733 doi PQ20160617 (DE-627)OLC1965870899 (DE-599)GBVOLC1965870899 (PRQ)c2603-e3719ae2feb9c35754c36f19ba506cae5fd16e9a56a205d6aa2e605df67c56663 (KEY)0050515320150000095000500861samplepresentationsourcesoferrorandfutureperspecti DE-627 ger DE-627 rakwb eng 630 640 DNB 58.34 bkl 48.00 bkl Cozzolino, Daniel verfasserin aut Sample presentation, sources of error and future perspectives on the application of vibrational spectroscopy in the wine industry 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Vibrational spectroscopy encompasses a number of techniques and methods including ultra‐violet, visible, Fourier transform infrared or mid infrared, near infrared and Raman spectroscopy. The use and application of spectroscopy generates spectra containing hundreds of variables (absorbances at each wavenumbers or wavelengths), resulting in the production of large data sets representing the chemical and biochemical wine fingerprint. Multivariate data analysis techniques are then required to handle the large amount of data generated in order to interpret the spectra in a meaningful way in order to develop a specific application. This paper focuses on the developments of sample presentation and main sources of error when vibrational spectroscopy methods are applied in wine analysis. Recent and novel applications will be discussed as examples of these developments. © 2014 Society of Chemical Industry Nutzungsrecht: © 2014 Society of Chemical Industry © 2014 Society of Chemical Industry. wine vibrational spectroscopy infrared Fourier transforms Food science Spectrum analysis Wines Enthalten in Journal of the science of food and agriculture Chichester : Wiley, 1950 95(2015), 5, Seite 861-868 (DE-627)129386669 (DE-600)184116-6 (DE-576)014773287 0022-5142 nnns volume:95 year:2015 number:5 pages:861-868 http://dx.doi.org/10.1002/jsfa.6733 Volltext http://onlinelibrary.wiley.com/doi/10.1002/jsfa.6733/abstract http://www.ncbi.nlm.nih.gov/pubmed/24816857 http://search.proquest.com/docview/1664478694 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE GBV_ILN_4012 GBV_ILN_4219 58.34 AVZ 48.00 AVZ AR 95 2015 5 861-868 |
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10.1002/jsfa.6733 doi PQ20160617 (DE-627)OLC1965870899 (DE-599)GBVOLC1965870899 (PRQ)c2603-e3719ae2feb9c35754c36f19ba506cae5fd16e9a56a205d6aa2e605df67c56663 (KEY)0050515320150000095000500861samplepresentationsourcesoferrorandfutureperspecti DE-627 ger DE-627 rakwb eng 630 640 DNB 58.34 bkl 48.00 bkl Cozzolino, Daniel verfasserin aut Sample presentation, sources of error and future perspectives on the application of vibrational spectroscopy in the wine industry 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Vibrational spectroscopy encompasses a number of techniques and methods including ultra‐violet, visible, Fourier transform infrared or mid infrared, near infrared and Raman spectroscopy. The use and application of spectroscopy generates spectra containing hundreds of variables (absorbances at each wavenumbers or wavelengths), resulting in the production of large data sets representing the chemical and biochemical wine fingerprint. Multivariate data analysis techniques are then required to handle the large amount of data generated in order to interpret the spectra in a meaningful way in order to develop a specific application. This paper focuses on the developments of sample presentation and main sources of error when vibrational spectroscopy methods are applied in wine analysis. Recent and novel applications will be discussed as examples of these developments. © 2014 Society of Chemical Industry Nutzungsrecht: © 2014 Society of Chemical Industry © 2014 Society of Chemical Industry. wine vibrational spectroscopy infrared Fourier transforms Food science Spectrum analysis Wines Enthalten in Journal of the science of food and agriculture Chichester : Wiley, 1950 95(2015), 5, Seite 861-868 (DE-627)129386669 (DE-600)184116-6 (DE-576)014773287 0022-5142 nnns volume:95 year:2015 number:5 pages:861-868 http://dx.doi.org/10.1002/jsfa.6733 Volltext http://onlinelibrary.wiley.com/doi/10.1002/jsfa.6733/abstract http://www.ncbi.nlm.nih.gov/pubmed/24816857 http://search.proquest.com/docview/1664478694 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE GBV_ILN_4012 GBV_ILN_4219 58.34 AVZ 48.00 AVZ AR 95 2015 5 861-868 |
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10.1002/jsfa.6733 doi PQ20160617 (DE-627)OLC1965870899 (DE-599)GBVOLC1965870899 (PRQ)c2603-e3719ae2feb9c35754c36f19ba506cae5fd16e9a56a205d6aa2e605df67c56663 (KEY)0050515320150000095000500861samplepresentationsourcesoferrorandfutureperspecti DE-627 ger DE-627 rakwb eng 630 640 DNB 58.34 bkl 48.00 bkl Cozzolino, Daniel verfasserin aut Sample presentation, sources of error and future perspectives on the application of vibrational spectroscopy in the wine industry 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Vibrational spectroscopy encompasses a number of techniques and methods including ultra‐violet, visible, Fourier transform infrared or mid infrared, near infrared and Raman spectroscopy. The use and application of spectroscopy generates spectra containing hundreds of variables (absorbances at each wavenumbers or wavelengths), resulting in the production of large data sets representing the chemical and biochemical wine fingerprint. Multivariate data analysis techniques are then required to handle the large amount of data generated in order to interpret the spectra in a meaningful way in order to develop a specific application. This paper focuses on the developments of sample presentation and main sources of error when vibrational spectroscopy methods are applied in wine analysis. Recent and novel applications will be discussed as examples of these developments. © 2014 Society of Chemical Industry Nutzungsrecht: © 2014 Society of Chemical Industry © 2014 Society of Chemical Industry. wine vibrational spectroscopy infrared Fourier transforms Food science Spectrum analysis Wines Enthalten in Journal of the science of food and agriculture Chichester : Wiley, 1950 95(2015), 5, Seite 861-868 (DE-627)129386669 (DE-600)184116-6 (DE-576)014773287 0022-5142 nnns volume:95 year:2015 number:5 pages:861-868 http://dx.doi.org/10.1002/jsfa.6733 Volltext http://onlinelibrary.wiley.com/doi/10.1002/jsfa.6733/abstract http://www.ncbi.nlm.nih.gov/pubmed/24816857 http://search.proquest.com/docview/1664478694 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE GBV_ILN_4012 GBV_ILN_4219 58.34 AVZ 48.00 AVZ AR 95 2015 5 861-868 |
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author-letter |
Cozzolino, Daniel |
doi_str_mv |
10.1002/jsfa.6733 |
dewey-full |
630 640 |
title_sort |
sample presentation, sources of error and future perspectives on the application of vibrational spectroscopy in the wine industry |
title_auth |
Sample presentation, sources of error and future perspectives on the application of vibrational spectroscopy in the wine industry |
abstract |
Vibrational spectroscopy encompasses a number of techniques and methods including ultra‐violet, visible, Fourier transform infrared or mid infrared, near infrared and Raman spectroscopy. The use and application of spectroscopy generates spectra containing hundreds of variables (absorbances at each wavenumbers or wavelengths), resulting in the production of large data sets representing the chemical and biochemical wine fingerprint. Multivariate data analysis techniques are then required to handle the large amount of data generated in order to interpret the spectra in a meaningful way in order to develop a specific application. This paper focuses on the developments of sample presentation and main sources of error when vibrational spectroscopy methods are applied in wine analysis. Recent and novel applications will be discussed as examples of these developments. © 2014 Society of Chemical Industry |
abstractGer |
Vibrational spectroscopy encompasses a number of techniques and methods including ultra‐violet, visible, Fourier transform infrared or mid infrared, near infrared and Raman spectroscopy. The use and application of spectroscopy generates spectra containing hundreds of variables (absorbances at each wavenumbers or wavelengths), resulting in the production of large data sets representing the chemical and biochemical wine fingerprint. Multivariate data analysis techniques are then required to handle the large amount of data generated in order to interpret the spectra in a meaningful way in order to develop a specific application. This paper focuses on the developments of sample presentation and main sources of error when vibrational spectroscopy methods are applied in wine analysis. Recent and novel applications will be discussed as examples of these developments. © 2014 Society of Chemical Industry |
abstract_unstemmed |
Vibrational spectroscopy encompasses a number of techniques and methods including ultra‐violet, visible, Fourier transform infrared or mid infrared, near infrared and Raman spectroscopy. The use and application of spectroscopy generates spectra containing hundreds of variables (absorbances at each wavenumbers or wavelengths), resulting in the production of large data sets representing the chemical and biochemical wine fingerprint. Multivariate data analysis techniques are then required to handle the large amount of data generated in order to interpret the spectra in a meaningful way in order to develop a specific application. This paper focuses on the developments of sample presentation and main sources of error when vibrational spectroscopy methods are applied in wine analysis. Recent and novel applications will be discussed as examples of these developments. © 2014 Society of Chemical Industry |
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container_issue |
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title_short |
Sample presentation, sources of error and future perspectives on the application of vibrational spectroscopy in the wine industry |
url |
http://dx.doi.org/10.1002/jsfa.6733 http://onlinelibrary.wiley.com/doi/10.1002/jsfa.6733/abstract http://www.ncbi.nlm.nih.gov/pubmed/24816857 http://search.proquest.com/docview/1664478694 |
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doi_str |
10.1002/jsfa.6733 |
up_date |
2024-07-03T19:28:08.292Z |
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