Non-destructive Visible/NIR Spectroscopy for Differentiation of Fresh and Frozen-thawed Fish
Nondestructive visible/near-infrared (NIR) spectroscopy was evaluated to investigate whether fish has been frozen-thawed. Fresh or frozen-thawed red sea bream Pagrus major (n= 108) were scanned using a NIRSystems 6500 spectrophotometer equipped with a surface interactance fiber-optic accessory then...
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| Autor*in: |
Uddin, Musleh [verfasserIn] Okazaki, Emiko [verfasserIn] Turza, Sandor [verfasserIn] |
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| Format: |
E-Artikel |
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| Erschienen: |
Oxford, UK: Blackwell Publishing Ltd ; 2005 |
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| Umfang: |
Online-Ressource |
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| Reproduktion: |
2006 ; Blackwell Publishing Journal Backfiles 1879-2005 |
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In: Journal of food science - Chicago, Ill. : Inst., 1990, 70(2005), 8, Seite 0 |
| Übergeordnetes Werk: |
volume:70 ; year:2005 ; number:8 ; pages:0 |
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| DOI / URN: |
10.1111/j.1365-2621.2005.tb11509.x |
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| 520 | |a Nondestructive visible/near-infrared (NIR) spectroscopy was evaluated to investigate whether fish has been frozen-thawed. Fresh or frozen-thawed red sea bream Pagrus major (n= 108) were scanned using a NIRSystems 6500 spectrophotometer equipped with a surface interactance fiber-optic accessory then discriminated by soft independent modeling of class analogy (SIMCA) and linear discriminant analysis (LDA) based on principal component analysis (PCA) scores. The major effect of freeze-thawing treatment involves a gross change in total reflectance after freezing and thawing; this arises from changes in light scatter presumably arising from alterations in the physical structure of at least the surface layer of fish. Untreated original absorbance spectra achieved much better (100%) classification accuracy for the prediction samples while the same figures for multiplicative scatter correction (MSC) treated spectra are considerably worse, indicating that scattering is the major information that makes classification work. No incorrect type of classification at all and also there are no samples classified to both groups either. This faster technique has the potential to differentiate fresh and frozen-thawed fish and could be applied for online or at-line processing control. | ||
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10.1111/j.1365-2621.2005.tb11509.x doi (DE-627)NLEJ243200099 DE-627 ger DE-627 rakwb Uddin, Musleh verfasserin aut Non-destructive Visible/NIR Spectroscopy for Differentiation of Fresh and Frozen-thawed Fish Oxford, UK Blackwell Publishing Ltd 2005 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Nondestructive visible/near-infrared (NIR) spectroscopy was evaluated to investigate whether fish has been frozen-thawed. Fresh or frozen-thawed red sea bream Pagrus major (n= 108) were scanned using a NIRSystems 6500 spectrophotometer equipped with a surface interactance fiber-optic accessory then discriminated by soft independent modeling of class analogy (SIMCA) and linear discriminant analysis (LDA) based on principal component analysis (PCA) scores. The major effect of freeze-thawing treatment involves a gross change in total reflectance after freezing and thawing; this arises from changes in light scatter presumably arising from alterations in the physical structure of at least the surface layer of fish. Untreated original absorbance spectra achieved much better (100%) classification accuracy for the prediction samples while the same figures for multiplicative scatter correction (MSC) treated spectra are considerably worse, indicating that scattering is the major information that makes classification work. No incorrect type of classification at all and also there are no samples classified to both groups either. This faster technique has the potential to differentiate fresh and frozen-thawed fish and could be applied for online or at-line processing control. 2006 Blackwell Publishing Journal Backfiles 1879-2005 |2006|||||||||| visible/NIR Okazaki, Emiko verfasserin aut Turza, Sandor verfasserin aut Yumiko, Yamashita oth Tanaka, Munehiko oth Fukuda, Yutaka oth In Journal of food science Chicago, Ill. : Inst., 1990 70(2005), 8, Seite 0 (DE-627)NLEJ243926316 (DE-600)2006705-7 1750-3841 nnns volume:70 year:2005 number:8 pages:0 http://dx.doi.org/10.1111/j.1365-2621.2005.tb11509.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 70 2005 8 0 |
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10.1111/j.1365-2621.2005.tb11509.x doi (DE-627)NLEJ243200099 DE-627 ger DE-627 rakwb Uddin, Musleh verfasserin aut Non-destructive Visible/NIR Spectroscopy for Differentiation of Fresh and Frozen-thawed Fish Oxford, UK Blackwell Publishing Ltd 2005 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Nondestructive visible/near-infrared (NIR) spectroscopy was evaluated to investigate whether fish has been frozen-thawed. Fresh or frozen-thawed red sea bream Pagrus major (n= 108) were scanned using a NIRSystems 6500 spectrophotometer equipped with a surface interactance fiber-optic accessory then discriminated by soft independent modeling of class analogy (SIMCA) and linear discriminant analysis (LDA) based on principal component analysis (PCA) scores. The major effect of freeze-thawing treatment involves a gross change in total reflectance after freezing and thawing; this arises from changes in light scatter presumably arising from alterations in the physical structure of at least the surface layer of fish. Untreated original absorbance spectra achieved much better (100%) classification accuracy for the prediction samples while the same figures for multiplicative scatter correction (MSC) treated spectra are considerably worse, indicating that scattering is the major information that makes classification work. No incorrect type of classification at all and also there are no samples classified to both groups either. This faster technique has the potential to differentiate fresh and frozen-thawed fish and could be applied for online or at-line processing control. 2006 Blackwell Publishing Journal Backfiles 1879-2005 |2006|||||||||| visible/NIR Okazaki, Emiko verfasserin aut Turza, Sandor verfasserin aut Yumiko, Yamashita oth Tanaka, Munehiko oth Fukuda, Yutaka oth In Journal of food science Chicago, Ill. : Inst., 1990 70(2005), 8, Seite 0 (DE-627)NLEJ243926316 (DE-600)2006705-7 1750-3841 nnns volume:70 year:2005 number:8 pages:0 http://dx.doi.org/10.1111/j.1365-2621.2005.tb11509.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 70 2005 8 0 |
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10.1111/j.1365-2621.2005.tb11509.x doi (DE-627)NLEJ243200099 DE-627 ger DE-627 rakwb Uddin, Musleh verfasserin aut Non-destructive Visible/NIR Spectroscopy for Differentiation of Fresh and Frozen-thawed Fish Oxford, UK Blackwell Publishing Ltd 2005 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Nondestructive visible/near-infrared (NIR) spectroscopy was evaluated to investigate whether fish has been frozen-thawed. Fresh or frozen-thawed red sea bream Pagrus major (n= 108) were scanned using a NIRSystems 6500 spectrophotometer equipped with a surface interactance fiber-optic accessory then discriminated by soft independent modeling of class analogy (SIMCA) and linear discriminant analysis (LDA) based on principal component analysis (PCA) scores. The major effect of freeze-thawing treatment involves a gross change in total reflectance after freezing and thawing; this arises from changes in light scatter presumably arising from alterations in the physical structure of at least the surface layer of fish. Untreated original absorbance spectra achieved much better (100%) classification accuracy for the prediction samples while the same figures for multiplicative scatter correction (MSC) treated spectra are considerably worse, indicating that scattering is the major information that makes classification work. No incorrect type of classification at all and also there are no samples classified to both groups either. This faster technique has the potential to differentiate fresh and frozen-thawed fish and could be applied for online or at-line processing control. 2006 Blackwell Publishing Journal Backfiles 1879-2005 |2006|||||||||| visible/NIR Okazaki, Emiko verfasserin aut Turza, Sandor verfasserin aut Yumiko, Yamashita oth Tanaka, Munehiko oth Fukuda, Yutaka oth In Journal of food science Chicago, Ill. : Inst., 1990 70(2005), 8, Seite 0 (DE-627)NLEJ243926316 (DE-600)2006705-7 1750-3841 nnns volume:70 year:2005 number:8 pages:0 http://dx.doi.org/10.1111/j.1365-2621.2005.tb11509.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 70 2005 8 0 |
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10.1111/j.1365-2621.2005.tb11509.x doi (DE-627)NLEJ243200099 DE-627 ger DE-627 rakwb Uddin, Musleh verfasserin aut Non-destructive Visible/NIR Spectroscopy for Differentiation of Fresh and Frozen-thawed Fish Oxford, UK Blackwell Publishing Ltd 2005 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Nondestructive visible/near-infrared (NIR) spectroscopy was evaluated to investigate whether fish has been frozen-thawed. Fresh or frozen-thawed red sea bream Pagrus major (n= 108) were scanned using a NIRSystems 6500 spectrophotometer equipped with a surface interactance fiber-optic accessory then discriminated by soft independent modeling of class analogy (SIMCA) and linear discriminant analysis (LDA) based on principal component analysis (PCA) scores. The major effect of freeze-thawing treatment involves a gross change in total reflectance after freezing and thawing; this arises from changes in light scatter presumably arising from alterations in the physical structure of at least the surface layer of fish. Untreated original absorbance spectra achieved much better (100%) classification accuracy for the prediction samples while the same figures for multiplicative scatter correction (MSC) treated spectra are considerably worse, indicating that scattering is the major information that makes classification work. No incorrect type of classification at all and also there are no samples classified to both groups either. This faster technique has the potential to differentiate fresh and frozen-thawed fish and could be applied for online or at-line processing control. 2006 Blackwell Publishing Journal Backfiles 1879-2005 |2006|||||||||| visible/NIR Okazaki, Emiko verfasserin aut Turza, Sandor verfasserin aut Yumiko, Yamashita oth Tanaka, Munehiko oth Fukuda, Yutaka oth In Journal of food science Chicago, Ill. : Inst., 1990 70(2005), 8, Seite 0 (DE-627)NLEJ243926316 (DE-600)2006705-7 1750-3841 nnns volume:70 year:2005 number:8 pages:0 http://dx.doi.org/10.1111/j.1365-2621.2005.tb11509.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 70 2005 8 0 |
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10.1111/j.1365-2621.2005.tb11509.x doi (DE-627)NLEJ243200099 DE-627 ger DE-627 rakwb Uddin, Musleh verfasserin aut Non-destructive Visible/NIR Spectroscopy for Differentiation of Fresh and Frozen-thawed Fish Oxford, UK Blackwell Publishing Ltd 2005 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Nondestructive visible/near-infrared (NIR) spectroscopy was evaluated to investigate whether fish has been frozen-thawed. Fresh or frozen-thawed red sea bream Pagrus major (n= 108) were scanned using a NIRSystems 6500 spectrophotometer equipped with a surface interactance fiber-optic accessory then discriminated by soft independent modeling of class analogy (SIMCA) and linear discriminant analysis (LDA) based on principal component analysis (PCA) scores. The major effect of freeze-thawing treatment involves a gross change in total reflectance after freezing and thawing; this arises from changes in light scatter presumably arising from alterations in the physical structure of at least the surface layer of fish. Untreated original absorbance spectra achieved much better (100%) classification accuracy for the prediction samples while the same figures for multiplicative scatter correction (MSC) treated spectra are considerably worse, indicating that scattering is the major information that makes classification work. No incorrect type of classification at all and also there are no samples classified to both groups either. This faster technique has the potential to differentiate fresh and frozen-thawed fish and could be applied for online or at-line processing control. 2006 Blackwell Publishing Journal Backfiles 1879-2005 |2006|||||||||| visible/NIR Okazaki, Emiko verfasserin aut Turza, Sandor verfasserin aut Yumiko, Yamashita oth Tanaka, Munehiko oth Fukuda, Yutaka oth In Journal of food science Chicago, Ill. : Inst., 1990 70(2005), 8, Seite 0 (DE-627)NLEJ243926316 (DE-600)2006705-7 1750-3841 nnns volume:70 year:2005 number:8 pages:0 http://dx.doi.org/10.1111/j.1365-2621.2005.tb11509.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 70 2005 8 0 |
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Non-destructive Visible/NIR Spectroscopy for Differentiation of Fresh and Frozen-thawed Fish |
| abstract |
Nondestructive visible/near-infrared (NIR) spectroscopy was evaluated to investigate whether fish has been frozen-thawed. Fresh or frozen-thawed red sea bream Pagrus major (n= 108) were scanned using a NIRSystems 6500 spectrophotometer equipped with a surface interactance fiber-optic accessory then discriminated by soft independent modeling of class analogy (SIMCA) and linear discriminant analysis (LDA) based on principal component analysis (PCA) scores. The major effect of freeze-thawing treatment involves a gross change in total reflectance after freezing and thawing; this arises from changes in light scatter presumably arising from alterations in the physical structure of at least the surface layer of fish. Untreated original absorbance spectra achieved much better (100%) classification accuracy for the prediction samples while the same figures for multiplicative scatter correction (MSC) treated spectra are considerably worse, indicating that scattering is the major information that makes classification work. No incorrect type of classification at all and also there are no samples classified to both groups either. This faster technique has the potential to differentiate fresh and frozen-thawed fish and could be applied for online or at-line processing control. |
| abstractGer |
Nondestructive visible/near-infrared (NIR) spectroscopy was evaluated to investigate whether fish has been frozen-thawed. Fresh or frozen-thawed red sea bream Pagrus major (n= 108) were scanned using a NIRSystems 6500 spectrophotometer equipped with a surface interactance fiber-optic accessory then discriminated by soft independent modeling of class analogy (SIMCA) and linear discriminant analysis (LDA) based on principal component analysis (PCA) scores. The major effect of freeze-thawing treatment involves a gross change in total reflectance after freezing and thawing; this arises from changes in light scatter presumably arising from alterations in the physical structure of at least the surface layer of fish. Untreated original absorbance spectra achieved much better (100%) classification accuracy for the prediction samples while the same figures for multiplicative scatter correction (MSC) treated spectra are considerably worse, indicating that scattering is the major information that makes classification work. No incorrect type of classification at all and also there are no samples classified to both groups either. This faster technique has the potential to differentiate fresh and frozen-thawed fish and could be applied for online or at-line processing control. |
| abstract_unstemmed |
Nondestructive visible/near-infrared (NIR) spectroscopy was evaluated to investigate whether fish has been frozen-thawed. Fresh or frozen-thawed red sea bream Pagrus major (n= 108) were scanned using a NIRSystems 6500 spectrophotometer equipped with a surface interactance fiber-optic accessory then discriminated by soft independent modeling of class analogy (SIMCA) and linear discriminant analysis (LDA) based on principal component analysis (PCA) scores. The major effect of freeze-thawing treatment involves a gross change in total reflectance after freezing and thawing; this arises from changes in light scatter presumably arising from alterations in the physical structure of at least the surface layer of fish. Untreated original absorbance spectra achieved much better (100%) classification accuracy for the prediction samples while the same figures for multiplicative scatter correction (MSC) treated spectra are considerably worse, indicating that scattering is the major information that makes classification work. No incorrect type of classification at all and also there are no samples classified to both groups either. This faster technique has the potential to differentiate fresh and frozen-thawed fish and could be applied for online or at-line processing control. |
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Non-destructive Visible/NIR Spectroscopy for Differentiation of Fresh and Frozen-thawed Fish |
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Okazaki, Emiko Turza, Sandor Yumiko, Yamashita Tanaka, Munehiko Fukuda, Yutaka |
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