1
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Gawat M, Boland M, Chen J, Singh J, Kaur L. Effects of microwave processing in comparison to sous vide cooking on meat quality, protein structural changes, and in vitro digestibility. Food Chem 2024; 434:137442. [PMID: 37713757 DOI: 10.1016/j.foodchem.2023.137442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 08/06/2023] [Accepted: 09/07/2023] [Indexed: 09/17/2023]
Abstract
This study investigated the effect of industrial microwave (MW) processing, and sous vide (SV) on goat and lamb biceps femoris, where samples were cooked to the same tenderness. The cooked meat quality and ultrastructure were analyzed along with determining the protein surface hydrophobicity, particle size distribution, secondary structure, and protein digestibility. MW-processing resulted in higher cooking loss and more ultrastructural damage than SV and also induced higher myofibrillar protein surface hydrophobicity. Both processes caused a significant increase (p < 0.05) in the β-sheet and an increase in the random coils with a reduction (p < 0.05) in α-helix and β-turns. Both processes led to different protein hydrolysis patterns (observed through SDS-PAGE), but overall free amino N release after digestion was not significantly different among them. The results suggest that MW and SV modify meat protein structure differently, but with the same meat tenderness level, these processes can lead to similar overall protein digestibility.
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Affiliation(s)
- Mariero Gawat
- School of Food and Advanced Technology, Massey University, 4442 Palmerston North, New Zealand; Riddet Institute, Massey University, 4442 Palmerston North, New Zealand
| | - Mike Boland
- Riddet Institute, Massey University, 4442 Palmerston North, New Zealand
| | - Jim Chen
- School of Food and Advanced Technology, Massey University, 4442 Palmerston North, New Zealand
| | - Jaspreet Singh
- School of Food and Advanced Technology, Massey University, 4442 Palmerston North, New Zealand; Riddet Institute, Massey University, 4442 Palmerston North, New Zealand
| | - Lovedeep Kaur
- School of Food and Advanced Technology, Massey University, 4442 Palmerston North, New Zealand; Riddet Institute, Massey University, 4442 Palmerston North, New Zealand.
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2
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Gao Z, Zhou Y, Zhang D, Wu R, Ma J, He J, Wang Z. Improving the Edible and Nutritional Quality of Roasted Duck Breasts through Variable Pressure Salting: Implications for Protein Anabolism and Digestion in Rats. Foods 2024; 13:402. [PMID: 38338538 PMCID: PMC10855416 DOI: 10.3390/foods13030402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 01/23/2024] [Accepted: 01/24/2024] [Indexed: 02/12/2024] Open
Abstract
Variable pressure salting (VPS) is considered a novel salting approach to improve meat quality. This study aimed to investigate the effects of roasted duck's edible and nutritional quality after VPS through serum biochemical indicators and in vivo digestion properties in rats. The results show that roasted duck after VPS led to an increase in the total protein content (57.24 g/L) and blood glucose levels (6.87 mmol/L), as well as a decrease in the blood urea nitrogen content (11.81 mmol/L), in rats. Compared to rats fed base diets and roasted duck after static wet salting (SWS), those ingesting roasted duck after VPS exhibited higher values of apparent protein digestibility (51.24%), pepsin activity (2.40 U/mg), and trypsin activity (389.80 U/mg). Furthermore, VPS treatment improved the textural properties and microstructure of duck breasts shown by a higher immobilized water relaxation area and more ordered protein structures (α-helixes and β-sheets). These improvements enhanced the protein anabolism capacity and in vivo digestion properties in rats. Therefore, VPS represents a beneficial salting method for promoting effective digestion and absorption in rats.
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Affiliation(s)
- Ziwu Gao
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Z.G.); (Y.Z.); (R.W.); (J.M.); (J.H.); (Z.W.)
- Integrated Laboratory of Processing Technology for Chinese Meat and Dish Products, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Yinna Zhou
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Z.G.); (Y.Z.); (R.W.); (J.M.); (J.H.); (Z.W.)
- Integrated Laboratory of Processing Technology for Chinese Meat and Dish Products, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Dequan Zhang
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Z.G.); (Y.Z.); (R.W.); (J.M.); (J.H.); (Z.W.)
- Integrated Laboratory of Processing Technology for Chinese Meat and Dish Products, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Ruiyun Wu
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Z.G.); (Y.Z.); (R.W.); (J.M.); (J.H.); (Z.W.)
- Integrated Laboratory of Processing Technology for Chinese Meat and Dish Products, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Jiale Ma
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Z.G.); (Y.Z.); (R.W.); (J.M.); (J.H.); (Z.W.)
- Integrated Laboratory of Processing Technology for Chinese Meat and Dish Products, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Jinhua He
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Z.G.); (Y.Z.); (R.W.); (J.M.); (J.H.); (Z.W.)
- Integrated Laboratory of Processing Technology for Chinese Meat and Dish Products, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Zhenyu Wang
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Z.G.); (Y.Z.); (R.W.); (J.M.); (J.H.); (Z.W.)
- Integrated Laboratory of Processing Technology for Chinese Meat and Dish Products, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
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3
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Coria MS, Ledesma MSC, Rojas JRG, Grigioni G, Palma GA, Borsarelli CD. Prediction of tenderness in bovine longissimus thoracis et lumborum muscles using Raman spectroscopy. Anim Biosci 2023; 36:1435-1444. [PMID: 36915932 PMCID: PMC10472156 DOI: 10.5713/ab.22.0451] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 12/29/2022] [Accepted: 01/30/2023] [Indexed: 02/27/2023] Open
Abstract
OBJECTIVE This study was conducted to evaluate Raman spectroscopy technique as a noninvasive tool to predict meat quality traits on Braford longissimus thoracis et lumborum muscle. METHODS Thirty samples of muscle from Braford steers were analyzed by classical meat quality techniques and by Raman spectroscopy with 785 nm laser excitation. Water holding capacity (WHC), intramuscular fat content (IMF), cooking loss (CL), and texture profile analysis recording hardness, cohesiveness, and chewiness were determined, along with fiber diameter and sarcomere length by scanning electron microscopy. Warner-Bratzler shear force (WBSF) analysis was used to differentiate tender and tough meat groups. RESULTS Higher values of cohesiveness and CL, together with lower values of WHC, IMF, and shorter sarcomere were obtained for tender meat samples than for the tougher ones. Raman spectra analysis allows tender and tough sample differentiation. The correlation between the quality attributes predicted by Raman and the physical measurements resulted in values of R2 = 0.69 for hardness and 0,58 for WBSF. Pearson's correlation coefficient of hardness (r = 0.84) and WBSF (r = 0.79) parameters with the phenylalanine Raman signal at 1,003 cm-1, suggests that the content of this amino acid could explain the differences between samples. CONCLUSION Raman spectroscopy with 785 nm laser excitation is a suitable and accurate technique to identify beef with different quality attributes.
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Affiliation(s)
- María Sumampa Coria
- Instituto de Bionanotecnología del NOA (INBIONATEC), CONICET, Universidad Nacional de Santiago del Estero, G4206XCP, Santiago del Estero,
Argentina
- Universidad Nacional de Santiago del Estero. Facultad de Agronomía y Agroindustrias. Instituto para el desarrollo agropecuario del semiárido (INDEAS), G4200ABT, Santiago del Estero,
Argentina
| | - María Sofía Castaño Ledesma
- Instituto de Bionanotecnología del NOA (INBIONATEC), CONICET, Universidad Nacional de Santiago del Estero, G4206XCP, Santiago del Estero,
Argentina
| | - Jorge Raúl Gómez Rojas
- Instituto de Bionanotecnología del NOA (INBIONATEC), CONICET, Universidad Nacional de Santiago del Estero, G4206XCP, Santiago del Estero,
Argentina
| | - Gabriela Grigioni
- Universidad de Morón. Facultad de Agronomía y Ciencias Agroalimentarias, Buenos Aires, B1708JPD,
Argentina
- Instituto Tecnología de Alimentos - Instituto de Ciencia y Tecnología de Sistemas Alimentarios Sustentables, UEDD INTA CONICET, CP 1712 Castelar, Buenos Aires,
Argentina
| | - Gustavo Adolfo Palma
- Instituto de Bionanotecnología del NOA (INBIONATEC), CONICET, Universidad Nacional de Santiago del Estero, G4206XCP, Santiago del Estero,
Argentina
- Universidad Nacional de Santiago del Estero. Facultad de Agronomía y Agroindustrias. Instituto para el desarrollo agropecuario del semiárido (INDEAS), G4200ABT, Santiago del Estero,
Argentina
| | - Claudio Darío Borsarelli
- Instituto de Bionanotecnología del NOA (INBIONATEC), CONICET, Universidad Nacional de Santiago del Estero, G4206XCP, Santiago del Estero,
Argentina
- Universidad Nacional de Santiago del Estero. Facultad de Agronomía y Agroindustrias. Instituto de Ciencias Químicas (ICQ), G4200ABT, Santiago del Estero,
Argentina
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4
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Chotigavin N, Kerr WL, Klaypradit W, Kerdpiboon S. Novel sous-vide pressure technique affecting properties of local beef muscle. Lebensm Wiss Technol 2023. [DOI: 10.1016/j.lwt.2023.114439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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5
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Warner RD, Wheeler TL, Ha M, Li X, Bekhit AED, Morton J, Vaskoska R, Dunshea FR, Liu R, Purslow P, Zhang W. Meat tenderness: advances in biology, biochemistry, molecular mechanisms and new technologies. Meat Sci 2021; 185:108657. [PMID: 34998162 DOI: 10.1016/j.meatsci.2021.108657] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 08/09/2021] [Accepted: 08/10/2021] [Indexed: 12/17/2022]
Abstract
Meat tenderness is an important quality trait critical to consumer acceptance, and determines satisfaction, repeat purchase and willingness-to-pay premium prices. Recent advances in tenderness research from a variety of perspectives are presented. Our understanding of molecular factors influencing tenderization are discussed in relation to glycolysis, calcium release, protease activation, apoptosis and heat shock proteins, the use of proteomic analysis for monitoring changes, proteomic biomarkers and oxidative/nitrosative stress. Each of these structural, metabolic and molecular determinants of meat tenderness are then discussed in greater detail in relation to animal variation, postmortem influences, and changes during cooking, with a focus on recent advances. Innovations in postmortem technologies and enzymes for meat tenderization are discussed including their potential commercial application. Continued success of the meat industry relies on ongoing advances in our understanding, and in industry innovation. The recent advances in fundamental and applied research on meat tenderness in relation to the various sectors of the supply chain will enable such innovation.
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Affiliation(s)
- Robyn D Warner
- School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, Melbourne University, Parkville 3010, Australia.
| | - Tommy L Wheeler
- U.S. Department of Agriculture, Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, Nebraska 68933, USA
| | - Minh Ha
- School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, Melbourne University, Parkville 3010, Australia
| | - Xin Li
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | | | - James Morton
- Department of Wine Food and Molecular Biosciences, Faculty of Agriculture and Life Sciences, Lincoln University, Lincoln 7647, Christchurch, New Zealand
| | - Rozita Vaskoska
- School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, Melbourne University, Parkville 3010, Australia
| | - Frank R Dunshea
- School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, Melbourne University, Parkville 3010, Australia; Faculty of Biological Sciences, University of Leeds, Leeds LS2 9JT, United Kingdom
| | - Rui Liu
- School of Food Science and Technology, Yangzhou University, Yangzhou, Jiangsu 225127, PR China
| | - Peter Purslow
- Tandil Centre for Veterinary Investigation (CIVETAN), National University of Central Buenos Aires Province, Tandil B7001BBO, Argentina
| | - Wangang Zhang
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
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6
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Portable Raman Spectrometer as a Screening Tool for Characterization of Iberian Dry-Cured Ham. Foods 2021; 10:foods10061177. [PMID: 34073727 PMCID: PMC8225093 DOI: 10.3390/foods10061177] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 05/15/2021] [Accepted: 05/20/2021] [Indexed: 12/15/2022] Open
Abstract
Dry-cured Iberian ham is officially classified into different commercial categories according to the pig’s breed and feeding regime. These reach very different prices, thus promoting labelling fraud and causing great damage to the food sector. In this work, a method based on Raman spectroscopy was explored as a rapid in situ screening tool for Iberian ham samples. A total of 110 samples were analyzed to assess the potential of this technique to differentiate purebred, crossbred, acorn-fed and feed-fed dry-cured Iberian ham. A continuous signal probably due to sample fluorescence was obtained, which hid the Raman scattering signal. Therefore, chemometric treatment was applied in order to extract non-apparent information. High validated classification rates were obtained for feeding regime (83.3%) and breed (86.7%). In addition, an interlaboratory study was carried out to confirm the applicability of the method with 52 samples, obtaining a validated rate above 80%.
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7
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Dominguez-Hernandez E, Ertbjerg P. Effect of LTLT heat treatment on cathepsin B and L activities and denaturation of myofibrillar proteins of pork. Meat Sci 2021; 175:108454. [PMID: 33548841 DOI: 10.1016/j.meatsci.2021.108454] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Revised: 01/23/2021] [Accepted: 01/25/2021] [Indexed: 11/28/2022]
Abstract
The aim was to study biophysical and chemical changes during low-temperature long-time (LTLT) heat treatment of pork by measuring cathepsin B+L activity, surface hydrophobicity of myofibrils, particle size of myofibrils and effect on meat toughness as indicated by Allo-Kramer shear force. Longissimus thoracis et lumborum muscles were divided into large pieces, vacuum packaged and cooked in water baths at 53, 58, 63, 68 and 73 °C for 1, 8 and 24 h. The results showed that the meat toughness was markedly lower at temperatures of 53 °C and 58 °C and decreased with increasing holding time. Myofibrillar surface hydrophobicity increased with temperature, but not with time, indicating aggregation and/or gelation phenomena took place. Treatments with the lowest shear force values generally had smaller particles and were associated with high cathepsin B+L activity. A mechanism by which these cathepsins might affect the aggregation dynamics and change the mechanical properties of meat is proposed.
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Affiliation(s)
| | - Per Ertbjerg
- Department of Food and Nutrition, University of Helsinki, 00014 Helsinki, Finland.
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8
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Daoust F, Nguyen T, Orsini P, Bismuth J, de Denus-Baillargeon MM, Veilleux I, Wetter A, Mckoy P, Dicaire I, Massabki M, Petrecca K, Leblond F. Handheld macroscopic Raman spectroscopy imaging instrument for machine-learning-based molecular tissue margins characterization. JOURNAL OF BIOMEDICAL OPTICS 2021; 26:JBO-200306SSR. [PMID: 33580641 PMCID: PMC7880244 DOI: 10.1117/1.jbo.26.2.022911] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 01/19/2021] [Indexed: 05/08/2023]
Abstract
SIGNIFICANCE Raman spectroscopy has been developed for surgical guidance applications interrogating live tissue during tumor resection procedures to detect molecular contrast consistent with cancer pathophysiological changes. To date, the vibrational spectroscopy systems developed for medical applications include single-point measurement probes and intraoperative microscopes. There is a need to develop systems with larger fields of view (FOVs) for rapid intraoperative cancer margin detection during surgery. AIM We design a handheld macroscopic Raman imaging system for in vivo tissue margin characterization and test its performance in a model system. APPROACH The system is made of a sterilizable line scanner employing a coherent fiber bundle for relaying excitation light from a 785-nm laser to the tissue. A second coherent fiber bundle is used for hyperspectral detection of the fingerprint Raman signal over an area of 1 cm2. Machine learning classifiers were trained and validated on porcine adipose and muscle tissue. RESULTS Porcine adipose versus muscle margin detection was validated ex vivo with an accuracy of 99% over the FOV of 95 mm2 in ∼3 min using a support vector machine. CONCLUSIONS This system is the first large FOV Raman imaging system designed to be integrated in the workflow of surgical cancer resection. It will be further improved with the aim of discriminating brain cancer in a clinically acceptable timeframe during glioma surgery.
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Affiliation(s)
- François Daoust
- Polytechnique Montreal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre Hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | - Tien Nguyen
- Polytechnique Montreal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre Hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | | | | | | | - Israel Veilleux
- Polytechnique Montreal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre Hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | | | | | | | | | - Kevin Petrecca
- McGill University, Montreal Neurological Institute-Hospital, Department of Neurology and Neurosurgery, Montreal, Quebec, Canada
| | - Frédéric Leblond
- Polytechnique Montreal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre Hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Address all correspondence to Frédéric Leblond,
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9
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Katemala S, Molee A, Thumanu K, Yongsawatdigul J. Meat quality and Raman spectroscopic characterization of Korat hybrid chicken obtained from various rearing periods. Poult Sci 2020; 100:1248-1261. [PMID: 33518082 PMCID: PMC7858038 DOI: 10.1016/j.psj.2020.10.027] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Revised: 10/17/2020] [Accepted: 10/27/2020] [Indexed: 11/27/2022] Open
Abstract
Meat quality attributes vary with chicken age. Understanding the relationship between poultry age and the quality of the meat would be beneficial for efficient poultry farming to meet market needs. The Korat hybrid chicken (KC) is a new crossbred chicken whose meat quality is distinct from that of commercial broiler (CB) chickens and has not been well characterized. In this study, we characterized the physico-chemical properties of KC meat and correlate the findings with Raman spectral data. The protein content of KC breast and thigh meat increased with age. The pH of thigh meat decreased, while the water-holding capacity of breast meat increased as the age of the chickens increased. The amount of cholesterol in breast meat decreased as the rearing period was extended. Inosine 5′-monophosphate and guanosine 5′-monophosphate of breast meat decreased as KC grew older. The shear force values of meat from older birds increased concomitantly with an increase in total collagen. Principle component analysis revealed that the meat quality of CB was greatly different from that of KC meat. High shear force values of KC meat at 20 wk of age were well correlated with an increase in the β-sheet structure (amide I) and amide III of collagen. Raman spectra at 3,207 cm−1 and relative α-helical content were negatively correlated with shear force values of KC breast meat. These could be used as markers to evaluate KC meat quality.
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Affiliation(s)
- Sasikan Katemala
- School of Food Technology, Institute of Agricultural Technology, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand
| | - Amonrat Molee
- School of Animal Technology and Innovation, Institute of Agricultural Technology, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand
| | - Kanjana Thumanu
- Research and Facility Department, Beamline Operation Division, Synchrotron Light Research Institute (Plublic Organization), Nakhon Ratchasima 30000, Thailand
| | - Jirawat Yongsawatdigul
- School of Food Technology, Institute of Agricultural Technology, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand.
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10
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Wang T, Li J, Shao Y, Yao W, Xia J, He Q, Huang F. The effect of dietary garcinol supplementation on oxidative stability, muscle postmortem glycolysis and meat quality in pigs. Meat Sci 2019; 161:107998. [PMID: 31707156 DOI: 10.1016/j.meatsci.2019.107998] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Revised: 10/29/2019] [Accepted: 10/30/2019] [Indexed: 01/19/2023]
Abstract
The objective of this study was to evaluate the effects of dietary garcinol (0, 200, 400 and 600 mg/kg) on the growth performance, meat quality, postmortem glycolysis and antioxidative capacity of finishing pigs. Dietary garcinol increased pigs' average daily gain, pH 24h, a* and myoglobin content of longissimus dorsi (LM) (P < 0.05), and decreased feed/gain ratio, the L*24h, glycolytic potential, drip loss, shear force, and backfat depth (P < 0.05). The glutathione peroxidase (GPx), catalase (CAT) and total antioxidative capacity (T-AOC) were significantly increased by garcinol (P < 0.05), while the activity of lactate dehydrogenase (LDH) and malonaldehyde (MDA) content were decreased (P < 0.05). Moreover, garcinol decreased the p300/CBP-associated factor (PCAF) activity, the acetylation level and activities of glycolysis enzymes phosphoglycerate kinase 1 (PGK1), glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and 6-phosphofructo-2-kinase/fructose-2, 6-bisphosphatase-3 (PFKFB3) (P < 0.05). The results of this study showed that garcinol decreased postmortem glycolysis, and this may be due to the mechanism of decreasing glycolytic enzyme acetylation induced by PCAF. The present study indicates that garcinol can facilitate the growth performance of pigs and improve pork quality by changing postmortem glycolysis and antioxidative capacity.
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Affiliation(s)
- Tongxin Wang
- Department of Animal Nutrition and Feed Science, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Juan Li
- Department of Animal Nutrition and Feed Science, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Yafei Shao
- Department of Animal Nutrition and Feed Science, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Weilei Yao
- Department of Animal Nutrition and Feed Science, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Jun Xia
- Department of Animal Nutrition and Feed Science, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Qiongyu He
- Department of Animal Nutrition and Feed Science, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Feiruo Huang
- Department of Animal Nutrition and Feed Science, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
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11
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Zhou CY, Cao JX, Zhuang XB, Bai Y, Li CB, Xu XL, Zhou GH. Evaluation of the secondary structure and digestibility of myofibrillar proteins in cooked ham. CYTA - JOURNAL OF FOOD 2019. [DOI: 10.1080/19476337.2018.1554704] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Chang-Yu Zhou
- Key Laboratory of Meat Processing and Quality Control, MOE; Key Laboratory of Meat Processing, MOA; Jiangsu Synergetic Innovation Center of Meat Processing and Quality Control, Nanjing Agricultural University, Nanjing, P.R. China
- Key Laboratory of Animal Protein Food Processing Technology of Zhejiang Province, Ningbo University, Ningbo, P.R. China
| | - Jin-Xuan Cao
- Key Laboratory of Animal Protein Food Processing Technology of Zhejiang Province, Ningbo University, Ningbo, P.R. China
| | - Xin-Bo Zhuang
- Key Laboratory of Meat Processing and Quality Control, MOE; Key Laboratory of Meat Processing, MOA; Jiangsu Synergetic Innovation Center of Meat Processing and Quality Control, Nanjing Agricultural University, Nanjing, P.R. China
| | - Yun Bai
- Key Laboratory of Meat Processing and Quality Control, MOE; Key Laboratory of Meat Processing, MOA; Jiangsu Synergetic Innovation Center of Meat Processing and Quality Control, Nanjing Agricultural University, Nanjing, P.R. China
| | - Chun-Bao Li
- Key Laboratory of Meat Processing and Quality Control, MOE; Key Laboratory of Meat Processing, MOA; Jiangsu Synergetic Innovation Center of Meat Processing and Quality Control, Nanjing Agricultural University, Nanjing, P.R. China
| | - Xing-Lian Xu
- Key Laboratory of Meat Processing and Quality Control, MOE; Key Laboratory of Meat Processing, MOA; Jiangsu Synergetic Innovation Center of Meat Processing and Quality Control, Nanjing Agricultural University, Nanjing, P.R. China
| | - Guang-Hong Zhou
- Key Laboratory of Meat Processing and Quality Control, MOE; Key Laboratory of Meat Processing, MOA; Jiangsu Synergetic Innovation Center of Meat Processing and Quality Control, Nanjing Agricultural University, Nanjing, P.R. China
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12
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Santos CC, Zhao J, Dong X, Lonergan SM, Huff-Lonergan E, Outhouse A, Carlson KB, Prusa KJ, Fedler CA, Yu C, Shackelford SD, King DA, Wheeler TL. Predicting aged pork quality using a portable Raman device. Meat Sci 2018; 145:79-85. [PMID: 29908446 DOI: 10.1016/j.meatsci.2018.05.021] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2018] [Revised: 04/19/2018] [Accepted: 05/28/2018] [Indexed: 11/29/2022]
Abstract
The utility of Raman spectroscopic signatures of fresh pork loin (1 d & 15 d postmortem) in predicting fresh pork tenderness and slice shear force (SSF) was determined. Partial least square models showed that sensory tenderness and SSF are weakly correlated (R2 = 0.2). Raman spectral data were collected in 6 s using a portable Raman spectrometer (RS). A PLS regression model was developed to predict quantitatively the tenderness scores and SSF values from Raman spectral data, with very limited success. It was discovered that the prediction accuracies for day 15 post mortem samples are significantly greater than that for day 1 postmortem samples. Classification models were developed to predict tenderness at two ends of sensory quality as "poor" vs. "good". The accuracies of classification into different quality categories (1st to 4th percentile) are also greater for the day 15 postmortem samples for sensory tenderness (93.5% vs 76.3%) and SSF (92.8% vs 76.1%). RS has the potential to become a rapid on-line screening tool for the pork producers to quickly select meats with superior quality and/or cull poor quality to meet market demand/expectations.
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Affiliation(s)
- C C Santos
- Department of Animal Science, Iowa State University, Ames, IA 50010, United States
| | - J Zhao
- Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, IA 50010, United States; School of Engineering, Jiangxi Agricultural University, Nanchang, China
| | - X Dong
- Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, IA 50010, United States; School of Food Sciences and Technology, Dalian Polytechnic University, Dalian, China
| | - S M Lonergan
- Department of Animal Science, Iowa State University, Ames, IA 50010, United States
| | - E Huff-Lonergan
- Department of Animal Science, Iowa State University, Ames, IA 50010, United States
| | - A Outhouse
- Department of Animal Science, Iowa State University, Ames, IA 50010, United States
| | - K B Carlson
- Department of Animal Science, Iowa State University, Ames, IA 50010, United States
| | - K J Prusa
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA 50010, United States
| | - C A Fedler
- Department of Food Science and Human Nutrition, Iowa State University, Ames, IA 50010, United States
| | - C Yu
- Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, IA 50010, United States.
| | | | - D A King
- USDA-ARS, Clay Center, NE 68933, United States
| | - T L Wheeler
- USDA-ARS, Clay Center, NE 68933, United States
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13
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Spectral Detection Techniques for Non-Destructively Monitoring the Quality, Safety, and Classification of Fresh Red Meat. FOOD ANAL METHOD 2018. [DOI: 10.1007/s12161-018-1256-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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14
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Andersen PV, Wold JP, Veiseth-Kent E. Analyzing μ-Calpain induced proteolysis in a myofibril model system with vibrational and fluorescence spectroscopy. Meat Sci 2018; 139:239-246. [PMID: 29475101 DOI: 10.1016/j.meatsci.2018.02.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2017] [Revised: 01/10/2018] [Accepted: 02/09/2018] [Indexed: 10/18/2022]
Abstract
Degree of post-mortem proteolysis influences overall meat quality (e.g. tenderness and water holding capacity). Degradation of isolated pork myofibril proteins by μ-Calpain for 0, 15 or 45 min was analyzed using four spectroscopic techniques; Raman, Fourier transform infrared (FT-IR), near infrared (NIR) and fluorescence spectroscopy. Sodium dodecyl sulfate polyacrylamide gel electrophoresis was used to determine degree of proteolysis. The main changes detected by FT-IR and Raman spectroscopy were degradation of protein backbones manifested in the spectra as an increase in terminal carboxylic acid vibrations, a decrease in CN vibration, as well as an increase in skeletal vibrations. A reduction in β-sheet secondary structures was also detected, while α-helix secondary structure seemed to stay relatively unchanged. NIR and fluorescence were not suited to analyze degree of proteolysis in this model system.
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15
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Wang X, Esquerre C, Downey G, Henihan L, O’Callaghan D, O’Donnell C. Feasibility of Discriminating Dried Dairy Ingredients and Preheat Treatments Using Mid-Infrared and Raman Spectroscopy. FOOD ANAL METHOD 2017. [DOI: 10.1007/s12161-017-1114-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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16
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St-Arnaud K, Aubertin K, Strupler M, Madore WJ, Grosset AA, Petrecca K, Trudel D, Leblond F. Development and characterization of a handheld hyperspectral Raman imaging probe system for molecular characterization of tissue on mesoscopic scales. Med Phys 2017; 45:328-339. [PMID: 29106741 DOI: 10.1002/mp.12657] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Revised: 09/27/2017] [Accepted: 10/11/2017] [Indexed: 12/20/2022] Open
Abstract
PURPOSE Raman spectroscopy is a promising cancer detection technique for surgical guidance applications. It can provide quantitative information relating to global tissue properties associated with structural, metabolic, immunological, and genetic biochemical phenomena in terms of molecular species including amino acids, lipids, proteins, and nucleic acid (DNA). To date in vivo Raman spectroscopy systems mostly included probes and biopsy needles typically limited to single-point tissue interrogation over a scale between 100 and 500 microns. The development of wider field handheld systems could improve tumor localization for a range of open surgery applications including brain, ovarian, and skin cancers. METHODS Here we present a novel Raman spectroscopy implementation using a coherent imaging bundle of fibers to create a probe capable of reconstructing molecular images over mesoscopic fields of view. Detection is performed using linear scanning with a rotation mirror and an imaging spectrometer. Different slits widths were tested at the entrance of the spectrometer to optimize spatial and spectral resolution while preserving sufficient signal-to-noise ratios to detect the principal Raman tissue features. The nonbiological samples, calcite and polytetrafluoroethylene (PTFE), were used to characterize the performance of the system. The new wide-field probe was tested on ex vivo samples of calf brain and swine tissue. Raman spectral content of both tissue types were validated with data from the literature and compared with data acquired with a single-point Raman spectroscopy probe. The single-point probe was used as the gold standard against which the new instrument was benchmarked as it has already been thoroughly validated for biological tissue characterization. RESULT We have developed and characterized a practical noncontact handheld Raman imager providing tissue information at a spatial resolution of 115 microns over a field of view >14 mm2 and a spectral resolution of 6 cm-1 over the whole fingerprint region. Typical integration time to acquire an entire Raman image over swine tissue was set to approximately 100 s. Spectra acquired with both probes (single-point and wide-field) showed good agreement, with a Pearson correlation factor >0.85 over different tissue categories. Protein and lipid content of imaged tissue were manifested into the measured spectra which correlated well with previous findings in the literature. An example of quantitative molecular map is presented for swine tissue and calf brain based on the ratio of protein-to-lipid content showing clear delineations between white and gray matter as well as between adipose and muscle tissue. CONCLUSION We presented the development of a Raman imaging probe with a field of view of a few millimeters and a spatial resolution consistent with standard surgical imaging methods using an imaging bundle. Spectra acquired with the newly developed system on swine tissue and calf brain correlated well with an establish single-point probe and observed spectral features agreed with previous finding in the literature. The imaging probe has demonstrated its ability to reconstruct molecular images of soft tissues. The approach presented here has a lot of potential for the development of surgical Raman imaging probe to guide the surgeon during cancer surgery.
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Affiliation(s)
- Karl St-Arnaud
- Dept. of Engineering Physics, Polytechnique Montreal, CP 6079, Succ. Centre-Ville, Montreal, QC, H3C 3A7, Canada.,Imaging & Engineering, Centre Hospitalier Universitaire de Montréal Research Center (CRCHUM), 900 Rue Saint-Denis, Montréal, QC, H2X 0A9, Canada
| | - Kelly Aubertin
- Imaging & Engineering, Centre Hospitalier Universitaire de Montréal Research Center (CRCHUM), 900 Rue Saint-Denis, Montréal, QC, H2X 0A9, Canada.,CRCHUM/Montreal Cancer Institute, 900 Rue Saint-Denis, Montréal, QC, H2X 0A9, Canada
| | - Mathias Strupler
- Dept. of Engineering Physics, Polytechnique Montreal, CP 6079, Succ. Centre-Ville, Montreal, QC, H3C 3A7, Canada
| | - Wendy-Julie Madore
- Dept. of Engineering Physics, Polytechnique Montreal, CP 6079, Succ. Centre-Ville, Montreal, QC, H3C 3A7, Canada.,Imaging & Engineering, Centre Hospitalier Universitaire de Montréal Research Center (CRCHUM), 900 Rue Saint-Denis, Montréal, QC, H2X 0A9, Canada
| | - Andrée-Anne Grosset
- CRCHUM/Montreal Cancer Institute, 900 Rue Saint-Denis, Montréal, QC, H2X 0A9, Canada.,Dept. of Pathology and Cellular Biology, University of Montreal, Montreal, QC, H3T 1J4, Canada
| | - Kevin Petrecca
- Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, 3801 University St., Montreal, QC, H3A 2B4, Canada
| | - Dominique Trudel
- Dept. of Pathology, Centre Hospitalier Universitaire de Montréal (CHUM), Montreal, QC, H2X 3J4, Canada.,CRCHUM/Montreal Cancer Institute, 900 Rue Saint-Denis, Montréal, QC, H2X 0A9, Canada.,Dept. of Pathology and Cellular Biology, University of Montreal, Montreal, QC, H3T 1J4, Canada
| | - Frédéric Leblond
- Dept. of Engineering Physics, Polytechnique Montreal, CP 6079, Succ. Centre-Ville, Montreal, QC, H3C 3A7, Canada.,Imaging & Engineering, Centre Hospitalier Universitaire de Montréal Research Center (CRCHUM), 900 Rue Saint-Denis, Montréal, QC, H2X 0A9, Canada
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17
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Nian Y, Zhao M, O'Donnell CP, Downey G, Kerry JP, Allen P. Assessment of physico-chemical traits related to eating quality of young dairy bull beef at different ageing times using Raman spectroscopy and chemometrics. Food Res Int 2017; 99:778-789. [DOI: 10.1016/j.foodres.2017.06.056] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2017] [Revised: 06/07/2017] [Accepted: 06/25/2017] [Indexed: 12/29/2022]
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18
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St-Arnaud K, Aubertin K, Strupler M, Jermyn M, Petrecca K, Trudel D, Leblond F. Wide-field spontaneous Raman spectroscopy imaging system for biological tissue interrogation. OPTICS LETTERS 2016; 41:4692-4695. [PMID: 28005869 DOI: 10.1364/ol.41.004692] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Raman spectroscopy has shown great promise as a method to discriminate between cancerous and normal tissue/cells for a range of oncology applications using microscopy and tissue interrogation instruments such as handheld probes and needles. Here we are presenting preliminary steps toward the development of a practical handheld macroscopic Raman spectroscopy instrument, demonstrating its capabilities to discriminate between different biological tissue types during ex vivo porcine experiments. The novel probe design can image a field of view of 25 mm2 with a spatial resolution <100 μm and an average spectral resolution of 95 cm-1, covering the fingerprint region between 450 to 1750 cm-1. The ability of the system to produce tissue maps based on molecular characteristics is demonstrated using a neural network machine learning technique.
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19
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Bauer A, Scheier R, Eberle T, Schmidt H. Assessment of tenderness of aged bovine gluteus medius muscles using Raman spectroscopy. Meat Sci 2016; 115:27-33. [DOI: 10.1016/j.meatsci.2015.12.020] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2015] [Revised: 12/22/2015] [Accepted: 12/28/2015] [Indexed: 11/16/2022]
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20
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21
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Sørensen KM, Westley C, Goodacre R, Engelsen SB. Simultaneous quantification of the boar-taint compounds skatole and androstenone by surface-enhanced Raman scattering (SERS) and multivariate data analysis. Anal Bioanal Chem 2015; 407:7787-95. [DOI: 10.1007/s00216-015-8945-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2015] [Revised: 07/14/2015] [Accepted: 07/28/2015] [Indexed: 10/23/2022]
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22
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Accurate determination of endpoint temperature of cooked meat after storage by Raman spectroscopy and chemometrics. Food Control 2015. [DOI: 10.1016/j.foodcont.2014.12.011] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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23
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24
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Fowler SM, Schmidt H, van de Ven R, Wynn P, Hopkins DL. Raman spectroscopy compared against traditional predictors of shear force in lamb m. longissimus lumborum. Meat Sci 2014; 98:652-6. [DOI: 10.1016/j.meatsci.2014.06.042] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2014] [Revised: 06/27/2014] [Accepted: 06/29/2014] [Indexed: 12/01/2022]
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25
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Raman spectroscopy to assess water holding capacity in muscle from fast and slow growing broilers. Lebensm Wiss Technol 2014. [DOI: 10.1016/j.lwt.2014.01.028] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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26
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Fowler SM, Schmidt H, van de Ven R, Wynn P, Hopkins DL. Predicting tenderness of fresh ovine semimembranosus using Raman spectroscopy. Meat Sci 2014; 97:597-601. [PMID: 24785653 DOI: 10.1016/j.meatsci.2014.02.018] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2013] [Revised: 01/21/2014] [Accepted: 02/20/2014] [Indexed: 11/29/2022]
Abstract
A hand held Raman probe was used to predict shear force (SF) of fresh lamb m. semimembranosus (topside). Eighty muscles were measured at 1 day PM and after a further 4 days ageing (5 days PM). At 1 day PM sarcomere length (SL) and particle size (PS) were measured and at 5 days PM, SF, PS, cooking loss (CL) and pH were also measured. SF values were regressed against Raman spectra using partial least squares regression and against traditional predictors (e.g. SL) using linear regression. The best prediction of SF used spectra at 1 day PM which gave a root mean square error of prediction (RMSEP) of 11.5 N (Null = 13.2) and the squared correlation between observed and cross validated predicted values (R(2)cv) was 0.27. Prediction of SF based on the traditional predictors had smaller R(2) values than using Raman spectra justifying further study on Raman spectroscopy.
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Affiliation(s)
- Stephanie M Fowler
- School of Animal and Veterinary Sciences, Charles Sturt University, Wagga Wagga, Australia; Graham Centre for Agricultural Innovation, NSW Department of Primary Industries and Charles Sturt University, Wagga Wagga, Australia.
| | - Heinar Schmidt
- Research Centre of Food Quality, University of Bayreuth, Kulmbach, Germany
| | - Remy van de Ven
- Orange Institute of Agriculture, NSW Department of Primary Industries, Orange, Australia
| | - Peter Wynn
- School of Animal and Veterinary Sciences, Charles Sturt University, Wagga Wagga, Australia; Graham Centre for Agricultural Innovation, NSW Department of Primary Industries and Charles Sturt University, Wagga Wagga, Australia
| | - David L Hopkins
- Graham Centre for Agricultural Innovation, NSW Department of Primary Industries and Charles Sturt University, Wagga Wagga, Australia; Centre for Sheep and Red Meat Development, NSW Department of Primary Industries, Cowra, Australia
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27
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Scheier R, Bauer A, Schmidt H. Early Postmortem Prediction of Meat Quality Traits of Porcine Semimembranosus Muscles Using a Portable Raman System. FOOD BIOPROCESS TECH 2014. [DOI: 10.1007/s11947-013-1240-3] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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28
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Schmidt H, Scheier R, Hopkins DL. Preliminary investigation on the relationship of Raman spectra of sheep meat with shear force and cooking loss. Meat Sci 2013; 93:138-43. [DOI: 10.1016/j.meatsci.2012.08.019] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2011] [Revised: 05/03/2012] [Accepted: 08/23/2012] [Indexed: 10/28/2022]
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29
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Comparing GC–MS, HPLC and 1H NMR analysis of beef longissimus dorsi tissue extracts to determine the effect of suspension technique and ageing. Food Chem 2012; 134:1633-9. [DOI: 10.1016/j.foodchem.2012.03.047] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2011] [Revised: 11/21/2011] [Accepted: 03/11/2012] [Indexed: 11/22/2022]
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30
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Wang Q, Lonergan SM, Yu C. Rapid determination of pork sensory quality using Raman spectroscopy. Meat Sci 2012; 91:232-9. [DOI: 10.1016/j.meatsci.2012.01.017] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2010] [Revised: 01/19/2012] [Accepted: 01/20/2012] [Indexed: 10/14/2022]
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31
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Valous NA, Mendoza F, Sun DW. Emerging non-contact imaging, spectroscopic and colorimetric technologies for quality evaluation and control of hams: a review. Trends Food Sci Technol 2010. [DOI: 10.1016/j.tifs.2009.09.003] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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