The Experts below are selected from a list of 321 Experts worldwide ranked by ideXlab platform
Naoya Hiruma - One of the best experts on this subject based on the ideXlab platform.
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non destructive estimation of atp contents and Plate Count on pork meat surface by uv vis reflectance spectrum analysis
Journal of Food Engineering, 2012Co-Authors: N Oto, Seiichi Oshita, S Kawagishi, Yoshio Makino, Yoshinori Kawagoe, Muhammad Imran Alhaq, Satoshi Shinozaki, Naoya HirumaAbstract:Abstract To develop a real-time and non-destructive sanitation monitoring at a meat processing plant, UV–Vis reflectance spectrum analysis was applied. The sample was the lean part of a pork loin. The UV–Vis reflectance spectra and the factors of microbial contamination (i.e. Plate Count and ATP content) on the pork meat surface were measured for 3 or 4 days. The 2nd derivative of reflectance at 318 and 578 nm gave a high correlation with log 10 (Plate Count) or log 10 (ATP content), because the reflectance spectrum at 318 nm is probably related to ATP absorption and that at 578 nm is related to myoglobin pigments. Moreover, Partial least squares regression (PLSR) was developed and log 10 (Plate Count) and log 10 (ATP content) were predicted from the 2nd derivative of reflectance. The determination coefficients ( R 2 ) for calibration were 0.95–0.99. These results indicate the potential of utilizing UV–Vis reflectance spectrum analysis for cleanness assessment.
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monitoring of atp and viable cells on meat surface by uv vis reflectance spectrum analysis
Journal of Food Engineering, 2011Co-Authors: Seiichi Oshita, S Kawagishi, Yoshio Makino, Yoshinori Kawagoe, Muhammad Imran Alhaq, Satoshi Shinozaki, Naoya HirumaAbstract:Abstract Cleanliness monitoring at slaughterhouses depend on traditional methods, e.g., visual inspection or swabbing. The visual inspection is not always accurate. Swabbing requires skilled workers and further Plate Count or ATP bioluminescence technique. To solve these problems, a rapid technique based on non-destructive UV–Vis reflectance was developed to monitor the ATP and viable cells. Samples were lean part of pork loin. The samples stored at 15 °C were analyzed at 0, 24, 48, 72, 84 and 96 h for ATP, Plate Count and UV–Vis reflectance. The reflectance spectra were measured from 240 to 540 nm at 20 °C, and then the area of 40 × 40 mm2 of the sample surface was swabbed for the determination of Plate Count and ATP amount. The Plate Count on the sample surface increased from the initial Count of 29 to 3.2 × 107 CFU/cm2 after 84 h. The ATP amount also increased with time from the initial amount of 9.2 × 10−15 to 2.8 × 10−10 mol/cm2 after 84 h. The linear relationship was observed between the ATP amount and Plate Count with the determination coefficient of 0.95. The 2nd derivative of raw spectra gave a high correlation for the first 48 h with both ATP amount and viable cell Count showing the determination coefficient of 0.89 and 0.83, respectively at 318 nm. The results strongly suggested that the UV–Vis reflectance spectrum analysis could be used as the real-time monitoring of ATP and/or Plate Count on meat surface with the optimal wavelength.
Seiichi Oshita - One of the best experts on this subject based on the ideXlab platform.
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prediction of aerobic Plate Count on beef surface using fluorescence fingerprint
Food and Bioprocess Technology, 2014Co-Authors: Masatoshi Yoshimura, Seiichi Oshita, Junichi Sugiyama, Mizuki Tsuta, Kaori Fujita, Mario Shibata, Mito Kokawa, N OtoAbstract:The potential of fluorescence fingerprint (FF) spectroscopy was investigated to develop a nondestructive prediction method of aerobic Plate Count on a beef surface. Sixty samples (e.g., 30 lean meat slices each of Australian cattle and Japanese cattle) stored aerobically at 15 °C were analyzed by front-face fluorescence spectrophotometry. FF and aerobic Plate Count (APC) were measured after 0, 12, 24, 36, and 48 h of storage. FFs were collected in both excitation and emission wavelength ranges of 200–900 nm. Partial least-squares regression (PLSR) performed on an FF dataset predicted an APC in the bacterial contamination load range from 1.7 to 7.8 log colony-forming units (cfu)/cm2 with a prediction error of 0.752 log cfu/cm2. The regions where the regression coefficient of the PLSR model was relatively high were consistent with those of the FF peaks of five intrinsic fluorophores: tryptophan, NAD(P)H, vitamin A, porphyrins, and flavins. This suggests that changes in the autofluorescence of these intrinsic fluorophores due to the metabolism of bacterial flora on meat are reflected in the PLSR model for predicting APC from the FF dataset. FF spectroscopy coupled with multivariate analysis appeared to be applicable to the nondestructive determination of APC on the surface of lean beef.
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non destructive evaluation of atp content and Plate Count on pork meat surface by fluorescence spectroscopy
Meat Science, 2013Co-Authors: Seiichi Oshita, Yoshio Makino, Yoshinori Kawagoe, Junichi Sugiyama, Masatoshi YoshimuraAbstract:Abstract The potential of fluorescence spectroscopy was investigated for the non-destructive evaluation of ATP content and Plate Count on pork meat surface stored aerobically at 15 °C during three days. Excitation (Ex) Emission (Em) Matrix of fluorescence intensity was obtained and fluorescence from tryptophan (Ex = 295 nm and Em = 335 nm) and NADPH (Ex = 335 nm and Em = 450 nm) was detected. Because tryptophan and NADPH fluorescence changed along with the growth of microorganisms, microbial spoilage on meat could be detected from fluorescence. By applying PLSR (Partial Least Squares Regression) analysis, ATP content and Plate Count were predicted with good determination coefficient (0.94–0.97 in calibration and 0.84–0.88 in validation).
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non destructive estimation of atp contents and Plate Count on pork meat surface by uv vis reflectance spectrum analysis
Journal of Food Engineering, 2012Co-Authors: N Oto, Seiichi Oshita, S Kawagishi, Yoshio Makino, Yoshinori Kawagoe, Muhammad Imran Alhaq, Satoshi Shinozaki, Naoya HirumaAbstract:Abstract To develop a real-time and non-destructive sanitation monitoring at a meat processing plant, UV–Vis reflectance spectrum analysis was applied. The sample was the lean part of a pork loin. The UV–Vis reflectance spectra and the factors of microbial contamination (i.e. Plate Count and ATP content) on the pork meat surface were measured for 3 or 4 days. The 2nd derivative of reflectance at 318 and 578 nm gave a high correlation with log 10 (Plate Count) or log 10 (ATP content), because the reflectance spectrum at 318 nm is probably related to ATP absorption and that at 578 nm is related to myoglobin pigments. Moreover, Partial least squares regression (PLSR) was developed and log 10 (Plate Count) and log 10 (ATP content) were predicted from the 2nd derivative of reflectance. The determination coefficients ( R 2 ) for calibration were 0.95–0.99. These results indicate the potential of utilizing UV–Vis reflectance spectrum analysis for cleanness assessment.
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monitoring of atp and viable cells on meat surface by uv vis reflectance spectrum analysis
Journal of Food Engineering, 2011Co-Authors: Seiichi Oshita, S Kawagishi, Yoshio Makino, Yoshinori Kawagoe, Muhammad Imran Alhaq, Satoshi Shinozaki, Naoya HirumaAbstract:Abstract Cleanliness monitoring at slaughterhouses depend on traditional methods, e.g., visual inspection or swabbing. The visual inspection is not always accurate. Swabbing requires skilled workers and further Plate Count or ATP bioluminescence technique. To solve these problems, a rapid technique based on non-destructive UV–Vis reflectance was developed to monitor the ATP and viable cells. Samples were lean part of pork loin. The samples stored at 15 °C were analyzed at 0, 24, 48, 72, 84 and 96 h for ATP, Plate Count and UV–Vis reflectance. The reflectance spectra were measured from 240 to 540 nm at 20 °C, and then the area of 40 × 40 mm2 of the sample surface was swabbed for the determination of Plate Count and ATP amount. The Plate Count on the sample surface increased from the initial Count of 29 to 3.2 × 107 CFU/cm2 after 84 h. The ATP amount also increased with time from the initial amount of 9.2 × 10−15 to 2.8 × 10−10 mol/cm2 after 84 h. The linear relationship was observed between the ATP amount and Plate Count with the determination coefficient of 0.95. The 2nd derivative of raw spectra gave a high correlation for the first 48 h with both ATP amount and viable cell Count showing the determination coefficient of 0.89 and 0.83, respectively at 318 nm. The results strongly suggested that the UV–Vis reflectance spectrum analysis could be used as the real-time monitoring of ATP and/or Plate Count on meat surface with the optimal wavelength.
Yoshinori Kawagoe - One of the best experts on this subject based on the ideXlab platform.
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non destructive evaluation of atp content and Plate Count on pork meat surface by fluorescence spectroscopy
Meat Science, 2013Co-Authors: Seiichi Oshita, Yoshio Makino, Yoshinori Kawagoe, Junichi Sugiyama, Masatoshi YoshimuraAbstract:Abstract The potential of fluorescence spectroscopy was investigated for the non-destructive evaluation of ATP content and Plate Count on pork meat surface stored aerobically at 15 °C during three days. Excitation (Ex) Emission (Em) Matrix of fluorescence intensity was obtained and fluorescence from tryptophan (Ex = 295 nm and Em = 335 nm) and NADPH (Ex = 335 nm and Em = 450 nm) was detected. Because tryptophan and NADPH fluorescence changed along with the growth of microorganisms, microbial spoilage on meat could be detected from fluorescence. By applying PLSR (Partial Least Squares Regression) analysis, ATP content and Plate Count were predicted with good determination coefficient (0.94–0.97 in calibration and 0.84–0.88 in validation).
-
non destructive estimation of atp contents and Plate Count on pork meat surface by uv vis reflectance spectrum analysis
Journal of Food Engineering, 2012Co-Authors: N Oto, Seiichi Oshita, S Kawagishi, Yoshio Makino, Yoshinori Kawagoe, Muhammad Imran Alhaq, Satoshi Shinozaki, Naoya HirumaAbstract:Abstract To develop a real-time and non-destructive sanitation monitoring at a meat processing plant, UV–Vis reflectance spectrum analysis was applied. The sample was the lean part of a pork loin. The UV–Vis reflectance spectra and the factors of microbial contamination (i.e. Plate Count and ATP content) on the pork meat surface were measured for 3 or 4 days. The 2nd derivative of reflectance at 318 and 578 nm gave a high correlation with log 10 (Plate Count) or log 10 (ATP content), because the reflectance spectrum at 318 nm is probably related to ATP absorption and that at 578 nm is related to myoglobin pigments. Moreover, Partial least squares regression (PLSR) was developed and log 10 (Plate Count) and log 10 (ATP content) were predicted from the 2nd derivative of reflectance. The determination coefficients ( R 2 ) for calibration were 0.95–0.99. These results indicate the potential of utilizing UV–Vis reflectance spectrum analysis for cleanness assessment.
-
monitoring of atp and viable cells on meat surface by uv vis reflectance spectrum analysis
Journal of Food Engineering, 2011Co-Authors: Seiichi Oshita, S Kawagishi, Yoshio Makino, Yoshinori Kawagoe, Muhammad Imran Alhaq, Satoshi Shinozaki, Naoya HirumaAbstract:Abstract Cleanliness monitoring at slaughterhouses depend on traditional methods, e.g., visual inspection or swabbing. The visual inspection is not always accurate. Swabbing requires skilled workers and further Plate Count or ATP bioluminescence technique. To solve these problems, a rapid technique based on non-destructive UV–Vis reflectance was developed to monitor the ATP and viable cells. Samples were lean part of pork loin. The samples stored at 15 °C were analyzed at 0, 24, 48, 72, 84 and 96 h for ATP, Plate Count and UV–Vis reflectance. The reflectance spectra were measured from 240 to 540 nm at 20 °C, and then the area of 40 × 40 mm2 of the sample surface was swabbed for the determination of Plate Count and ATP amount. The Plate Count on the sample surface increased from the initial Count of 29 to 3.2 × 107 CFU/cm2 after 84 h. The ATP amount also increased with time from the initial amount of 9.2 × 10−15 to 2.8 × 10−10 mol/cm2 after 84 h. The linear relationship was observed between the ATP amount and Plate Count with the determination coefficient of 0.95. The 2nd derivative of raw spectra gave a high correlation for the first 48 h with both ATP amount and viable cell Count showing the determination coefficient of 0.89 and 0.83, respectively at 318 nm. The results strongly suggested that the UV–Vis reflectance spectrum analysis could be used as the real-time monitoring of ATP and/or Plate Count on meat surface with the optimal wavelength.
Yoshio Makino - One of the best experts on this subject based on the ideXlab platform.
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non destructive evaluation of atp content and Plate Count on pork meat surface by fluorescence spectroscopy
Meat Science, 2013Co-Authors: Seiichi Oshita, Yoshio Makino, Yoshinori Kawagoe, Junichi Sugiyama, Masatoshi YoshimuraAbstract:Abstract The potential of fluorescence spectroscopy was investigated for the non-destructive evaluation of ATP content and Plate Count on pork meat surface stored aerobically at 15 °C during three days. Excitation (Ex) Emission (Em) Matrix of fluorescence intensity was obtained and fluorescence from tryptophan (Ex = 295 nm and Em = 335 nm) and NADPH (Ex = 335 nm and Em = 450 nm) was detected. Because tryptophan and NADPH fluorescence changed along with the growth of microorganisms, microbial spoilage on meat could be detected from fluorescence. By applying PLSR (Partial Least Squares Regression) analysis, ATP content and Plate Count were predicted with good determination coefficient (0.94–0.97 in calibration and 0.84–0.88 in validation).
-
non destructive estimation of atp contents and Plate Count on pork meat surface by uv vis reflectance spectrum analysis
Journal of Food Engineering, 2012Co-Authors: N Oto, Seiichi Oshita, S Kawagishi, Yoshio Makino, Yoshinori Kawagoe, Muhammad Imran Alhaq, Satoshi Shinozaki, Naoya HirumaAbstract:Abstract To develop a real-time and non-destructive sanitation monitoring at a meat processing plant, UV–Vis reflectance spectrum analysis was applied. The sample was the lean part of a pork loin. The UV–Vis reflectance spectra and the factors of microbial contamination (i.e. Plate Count and ATP content) on the pork meat surface were measured for 3 or 4 days. The 2nd derivative of reflectance at 318 and 578 nm gave a high correlation with log 10 (Plate Count) or log 10 (ATP content), because the reflectance spectrum at 318 nm is probably related to ATP absorption and that at 578 nm is related to myoglobin pigments. Moreover, Partial least squares regression (PLSR) was developed and log 10 (Plate Count) and log 10 (ATP content) were predicted from the 2nd derivative of reflectance. The determination coefficients ( R 2 ) for calibration were 0.95–0.99. These results indicate the potential of utilizing UV–Vis reflectance spectrum analysis for cleanness assessment.
-
monitoring of atp and viable cells on meat surface by uv vis reflectance spectrum analysis
Journal of Food Engineering, 2011Co-Authors: Seiichi Oshita, S Kawagishi, Yoshio Makino, Yoshinori Kawagoe, Muhammad Imran Alhaq, Satoshi Shinozaki, Naoya HirumaAbstract:Abstract Cleanliness monitoring at slaughterhouses depend on traditional methods, e.g., visual inspection or swabbing. The visual inspection is not always accurate. Swabbing requires skilled workers and further Plate Count or ATP bioluminescence technique. To solve these problems, a rapid technique based on non-destructive UV–Vis reflectance was developed to monitor the ATP and viable cells. Samples were lean part of pork loin. The samples stored at 15 °C were analyzed at 0, 24, 48, 72, 84 and 96 h for ATP, Plate Count and UV–Vis reflectance. The reflectance spectra were measured from 240 to 540 nm at 20 °C, and then the area of 40 × 40 mm2 of the sample surface was swabbed for the determination of Plate Count and ATP amount. The Plate Count on the sample surface increased from the initial Count of 29 to 3.2 × 107 CFU/cm2 after 84 h. The ATP amount also increased with time from the initial amount of 9.2 × 10−15 to 2.8 × 10−10 mol/cm2 after 84 h. The linear relationship was observed between the ATP amount and Plate Count with the determination coefficient of 0.95. The 2nd derivative of raw spectra gave a high correlation for the first 48 h with both ATP amount and viable cell Count showing the determination coefficient of 0.89 and 0.83, respectively at 318 nm. The results strongly suggested that the UV–Vis reflectance spectrum analysis could be used as the real-time monitoring of ATP and/or Plate Count on meat surface with the optimal wavelength.
N Oto - One of the best experts on this subject based on the ideXlab platform.
-
prediction of aerobic Plate Count on beef surface using fluorescence fingerprint
Food and Bioprocess Technology, 2014Co-Authors: Masatoshi Yoshimura, Seiichi Oshita, Junichi Sugiyama, Mizuki Tsuta, Kaori Fujita, Mario Shibata, Mito Kokawa, N OtoAbstract:The potential of fluorescence fingerprint (FF) spectroscopy was investigated to develop a nondestructive prediction method of aerobic Plate Count on a beef surface. Sixty samples (e.g., 30 lean meat slices each of Australian cattle and Japanese cattle) stored aerobically at 15 °C were analyzed by front-face fluorescence spectrophotometry. FF and aerobic Plate Count (APC) were measured after 0, 12, 24, 36, and 48 h of storage. FFs were collected in both excitation and emission wavelength ranges of 200–900 nm. Partial least-squares regression (PLSR) performed on an FF dataset predicted an APC in the bacterial contamination load range from 1.7 to 7.8 log colony-forming units (cfu)/cm2 with a prediction error of 0.752 log cfu/cm2. The regions where the regression coefficient of the PLSR model was relatively high were consistent with those of the FF peaks of five intrinsic fluorophores: tryptophan, NAD(P)H, vitamin A, porphyrins, and flavins. This suggests that changes in the autofluorescence of these intrinsic fluorophores due to the metabolism of bacterial flora on meat are reflected in the PLSR model for predicting APC from the FF dataset. FF spectroscopy coupled with multivariate analysis appeared to be applicable to the nondestructive determination of APC on the surface of lean beef.
-
non destructive estimation of atp contents and Plate Count on pork meat surface by uv vis reflectance spectrum analysis
Journal of Food Engineering, 2012Co-Authors: N Oto, Seiichi Oshita, S Kawagishi, Yoshio Makino, Yoshinori Kawagoe, Muhammad Imran Alhaq, Satoshi Shinozaki, Naoya HirumaAbstract:Abstract To develop a real-time and non-destructive sanitation monitoring at a meat processing plant, UV–Vis reflectance spectrum analysis was applied. The sample was the lean part of a pork loin. The UV–Vis reflectance spectra and the factors of microbial contamination (i.e. Plate Count and ATP content) on the pork meat surface were measured for 3 or 4 days. The 2nd derivative of reflectance at 318 and 578 nm gave a high correlation with log 10 (Plate Count) or log 10 (ATP content), because the reflectance spectrum at 318 nm is probably related to ATP absorption and that at 578 nm is related to myoglobin pigments. Moreover, Partial least squares regression (PLSR) was developed and log 10 (Plate Count) and log 10 (ATP content) were predicted from the 2nd derivative of reflectance. The determination coefficients ( R 2 ) for calibration were 0.95–0.99. These results indicate the potential of utilizing UV–Vis reflectance spectrum analysis for cleanness assessment.
