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Ajani CK, Zhu Z, Sun DW. In situ investigation of cellular water transport and morphological changes during vacuum cooling of steamed breads. Food Chem 2022; 381:132211. [PMID: 35121313 DOI: 10.1016/j.foodchem.2022.132211] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 12/16/2021] [Accepted: 01/18/2022] [Indexed: 12/22/2022]
Abstract
Dynamic investigation of the effects of vacuum cooling on cellular water transport and structural changes of steamed bread was carried out using transverse relaxation times (T2) and proton density-weighted images in a nuclear magnetic resonance (NMR)/magnetic resonance imaging (MRI) analyser, respectively. Initially, both steamed bread at room temperature of 25 °C and freshly steamed bread at 85 °C had three peaks of T21, T22, and T23, respectively representing the tightly bound water, loosely bound water, and free water, while an additional peak T24, was observed in freshly steamed bread at 85 °C. After vacuum cooling, freshly steamed bread at 85 °C had a higher mass loss of 10.29% due to its high initial temperature, and both samples were clearly discriminated with PCA of 88.2%, indicating that the initial food condition affected the vacuum cooling process. Lastly, the NMR/MRI technique and correlations were accurate (R2> 0.98), thus suitable for model validation at microscale and macroscale.
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Affiliation(s)
- Clement Kehinde Ajani
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China; Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China; Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, & Guangdong Province Engineering Laboratory for Intelligent Cold Chain Logistics Equipment for Agricultural Products, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China
| | - Zhiwei Zhu
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China; Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China; Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, & Guangdong Province Engineering Laboratory for Intelligent Cold Chain Logistics Equipment for Agricultural Products, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China
| | - Da-Wen Sun
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China; Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China; Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, & Guangdong Province Engineering Laboratory for Intelligent Cold Chain Logistics Equipment for Agricultural Products, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China; Food Refrigeration and Computerized Food Technology (FRCFT), Agriculture and Food Science Centre, University College Dublin, National University of Ireland, Belfield, Dublin 4, Ireland.
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Gopalakrishnan K, Sharma A, Emanuel N, Prabhakar PK, Kumar R. Sensors for Non‐Destructive Quality Evaluation of Food. Food Chem 2021. [DOI: 10.1002/9781119792130.ch13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Leal-Gutiérrez JD, Mateescu RG. Genetic basis of improving the palatability of beef cattle: current insights. FOOD BIOTECHNOL 2019. [DOI: 10.1080/08905436.2019.1616299] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Ebrahimnejad H, Ebrahimnejad H, Salajegheh A, Barghi H. Use of Magnetic Resonance Imaging in Food Quality Control: A Review. J Biomed Phys Eng 2018; 8:127-132. [PMID: 29732347 PMCID: PMC5928302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2016] [Accepted: 10/08/2016] [Indexed: 11/11/2022]
Abstract
Modern challenges of food science require a new understanding of the determinants of food quality and safety. Application of advanced imaging modalities such as magnetic resonance imaging (MRI) has seen impressive successes and fast growth over the past decade. Since MRI does not have any harmful ionizing radiation, it can be considered as a magnificent tool for the quality control of food products. MRI allows the structure of foods to be imaged noninvasively and nondestructively. Magnetic resonance images can present information about several processes and material properties in foods. This review will provide an overview of the most prominent applications of MRI in food research.
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Affiliation(s)
- Hamed Ebrahimnejad
- DDS, MSc, Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Kerman University of Medical Sciences, Kerman, Iran
| | - Hadi Ebrahimnejad
- DVM, Ph.D., Assistant Professor, Department of Food Hygiene and Public Health, Faculty of Veterinary Medicine, Shahid Bahonar University of Kerman, Kerman, Iran
| | - A Salajegheh
- MSc, Department of Radiology, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - H Barghi
- DDS, MSc, Assistant Professor, Department of Pediatric Dentistry, Faculty of Dentistry, Shiraz University of Medical Sciences, Shiraz, Iran
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Leal-Gutiérrez JD, Elzo MA, Johnson DD, Scheffler TL, Scheffler JM, Mateescu RG. Association of μ-Calpain and Calpastatin Polymorphisms with Meat Tenderness in a Brahman-Angus Population. Front Genet 2018. [PMID: 29520298 PMCID: PMC5827160 DOI: 10.3389/fgene.2018.00056] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Autogenous proteolytic enzymes of the calpain family are implicated in myofibrillar protein degradation. As a result, the μ-calpain gene and its specific inhibitor, calpastatin, have been repeatedly investigated for their association with meat quality traits in cattle; however, no functional mutation has been identified for these two genes. The objectives of this study were: (1) to assess breed composition effect on tenderness; (2) to perform a linkage disequilibrium (LD) analysis in μ-calpain and calpastatin genes as well as an association analyses with tenderness; and (3) to analyze putative functional SNPs inside the significant LD block for an effect on tenderness. Tenderness measurements and genotypes for 16 SNPs in μ-calpain gene and 28 SNPs in calpastatin gene from 673 steers were analyzed. A bioinformatic analysis identified “putative functional SNPs” inside the associated LD block – polymorphisms able to produce a physical and/or chemical change in the DNA, mRNA, or translated protein in silico. Breed composition had a significant (P < 0.0001) effect on tenderness where animals with more than 80% Angus composition had the most tender meat. One 11-kb LD-block and three LD-blocks of 37, 17, and 14 kb in length were identified in the μ-calpain and calpastatin genes, respectively. Out of these, the LD-block 3 in calpastatin, tagged by SNPs located at 7-98566391 and 7-98581038, had a significant effect on tenderness with the TG-CG diplotype being approximately 1 kg more tender than the toughest diplotype, TG-CG. A total of 768 SNPs in the LD-block 3 of calpastatin were included in the bioinformatic analysis, and 28 markers were selected as putative functional SNPs inside the LD-block 3 of calpastatin; however, none of them were polymorphic in this population. Out of 15 initial polymorphisms segregating inside the LD-block 3 of calpastatin in this population, markers ARSUSMARC116, Cast5, rs730723459, and rs210861835 were found to be significantly associated with tenderness.
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Affiliation(s)
- Joel D Leal-Gutiérrez
- Department of Animal Sciences, University of Florida, Gainesville, FL, United States
| | - Mauricio A Elzo
- Department of Animal Sciences, University of Florida, Gainesville, FL, United States
| | - Dwain D Johnson
- Department of Animal Sciences, University of Florida, Gainesville, FL, United States
| | - Tracy L Scheffler
- Department of Animal Sciences, University of Florida, Gainesville, FL, United States
| | - Jason M Scheffler
- Department of Animal Sciences, University of Florida, Gainesville, FL, United States
| | - Raluca G Mateescu
- Department of Animal Sciences, University of Florida, Gainesville, FL, United States
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Xiong Z, Sun DW, Pu H, Gao W, Dai Q. Applications of emerging imaging techniques for meat quality and safety detection and evaluation: A review. Crit Rev Food Sci Nutr 2017; 57:755-768. [PMID: 25975703 DOI: 10.1080/10408398.2014.954282] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
With improvement in people's living standards, many people nowadays pay more attention to quality and safety of meat. However, traditional methods for meat quality and safety detection and evaluation, such as manual inspection, mechanical methods, and chemical methods, are tedious, time-consuming, and destructive, which cannot meet the requirements of modern meat industry. Therefore, seeking out rapid, non-destructive, and accurate inspection techniques is important for the meat industry. In recent years, a number of novel and noninvasive imaging techniques, such as optical imaging, ultrasound imaging, tomographic imaging, thermal imaging, and odor imaging, have emerged and shown great potential in quality and safety assessment. In this paper, a detailed overview of advanced applications of these emerging imaging techniques for quality and safety assessment of different types of meat (pork, beef, lamb, chicken, and fish) is presented. In addition, advantages and disadvantages of each imaging technique are also summarized. Finally, future trends for these emerging imaging techniques are discussed, including integration of multiple imaging techniques, cost reduction, and developing powerful image-processing algorithms.
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Affiliation(s)
- Zhenjie Xiong
- a School of Food Science and Engineering , South China University of Technology , Guangzhou , China.,b Academy of Contemporary Food Engineering, South China University of Technology , Guangzhou Higher Education Mega Center , Guangzhou , China
| | - Da-Wen Sun
- a School of Food Science and Engineering , South China University of Technology , Guangzhou , China.,b Academy of Contemporary Food Engineering, South China University of Technology , Guangzhou Higher Education Mega Center , Guangzhou , China.,c Food Refrigeration and Computerised Food Technology , Agriculture and Food Science Centre, University College Dublin, National University of Ireland , Belfield , Dublin , Ireland
| | - Hongbin Pu
- a School of Food Science and Engineering , South China University of Technology , Guangzhou , China.,b Academy of Contemporary Food Engineering, South China University of Technology , Guangzhou Higher Education Mega Center , Guangzhou , China
| | - Wenhong Gao
- a School of Food Science and Engineering , South China University of Technology , Guangzhou , China.,b Academy of Contemporary Food Engineering, South China University of Technology , Guangzhou Higher Education Mega Center , Guangzhou , China
| | - Qiong Dai
- a School of Food Science and Engineering , South China University of Technology , Guangzhou , China.,b Academy of Contemporary Food Engineering, South China University of Technology , Guangzhou Higher Education Mega Center , Guangzhou , China
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Rondeau-Mouro C, Kovrlija R, Gambarota G, Saint-Jalmes H. μ-ViP: Customized virtual phantom for quantitative magnetic resonance micro-imaging at high magnetic field. JOURNAL OF MAGNETIC RESONANCE (SAN DIEGO, CALIF. : 1997) 2017; 275:73-79. [PMID: 28024256 DOI: 10.1016/j.jmr.2016.12.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2016] [Revised: 12/08/2016] [Accepted: 12/09/2016] [Indexed: 06/06/2023]
Abstract
The applications of Magnetic Resonance micro-Imaging (MRμI) cover nowadays a wide range of fields. However few of them present quantitative measurements when the sample of interest changes over time or in case of a long acquisition time. In this domain, two challenges have to be overcome: the introduction of a phantom as a reference signal and the guarantee that this signal is stable over the experiment duration while some conditions such as temperature and/or the moisture are varied. The aim of the present study was to implement a dedicated experimental set-up to generate a virtual phantom (ViP) signal in a vertical-bore 11.7 T NMR spectrometer, equipped with a micro-imaging probe. This study shows that the generation of a micro-imaging-dedicated ViP (μ-ViP) signal is of great benefit for on-line quality control of the spectrometer performance during acquisition in the case of real-time experiments. Thus, μViP represents a step towards improvement of the magnetic resonance signal quantification in small samples.
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Affiliation(s)
- C Rondeau-Mouro
- Irstea, UR OPAALE, 17 avenue de Cucillé, CS 64427, F-35044 Rennes, France; Université Bretagne Loire, France.
| | - R Kovrlija
- Irstea, UR OPAALE, 17 avenue de Cucillé, CS 64427, F-35044 Rennes, France; Université Bretagne Loire, France
| | - G Gambarota
- INSERM, UMR 1099, Rennes, France; LTSI, Université de Rennes 1, 35000 Rennes, France
| | - H Saint-Jalmes
- INSERM, UMR 1099, Rennes, France; LTSI, Université de Rennes 1, 35000 Rennes, France; CRLCC, Centre Eugène Marquis, Rennes, France
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1H Nuclear Magnetic Resonance Relaxometry and Magnetic Resonance Imaging and Applications in Food Science and Processing. FOOD ENGINEERING REVIEWS 2015. [DOI: 10.1007/s12393-015-9118-y] [Citation(s) in RCA: 130] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Kondjoyan A, Kohler A, Realini CE, Portanguen S, Kowalski R, Clerjon S, Gatellier P, Chevolleau S, Bonny JM, Debrauwer L. Towards models for the prediction of beef meat quality during cooking. Meat Sci 2014; 97:323-31. [DOI: 10.1016/j.meatsci.2013.07.032] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2013] [Revised: 07/19/2013] [Accepted: 07/25/2013] [Indexed: 10/26/2022]
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Damez JL, Clerjon S. Quantifying and predicting meat and meat products quality attributes using electromagnetic waves: An overview. Meat Sci 2013; 95:879-96. [DOI: 10.1016/j.meatsci.2013.04.037] [Citation(s) in RCA: 62] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2013] [Revised: 04/11/2013] [Accepted: 04/12/2013] [Indexed: 10/26/2022]
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Bouhrara M, Clerjon S, Damez JL, Kondjoyan A, Bonny JM. In situ imaging highlights local structural changes during heating: the case of meat. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2012; 60:4678-4687. [PMID: 22462532 DOI: 10.1021/jf2046569] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Understanding and monitoring deformation and water content changes in meat during cooking is of prime importance. We show the possibilities offered by nuclear magnetic resonance imaging (MRI) for the in situ dynamic measurement of deformation fields and water content mapping during beef heating from 20 to 75 °C. MRIs were acquired during heating, and image registration was used to calculate the deformation field. The temperature distribution in the sample was simulated numerically to link structural modifications and water transfer to temperature values. During heating, proton density decreases because of a magnetic susceptibility drop with temperature and water expulsion due to muscle contraction. A positive relationship was found between local cumulative deformation and water content. This new approach makes it possible to identify the deformation field and water transfer simultaneously and to trace thermal history to build heuristic models linking these parameters.
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Affiliation(s)
- Mustapha Bouhrara
- INRA, UR370 Qualité des Produits Animaux F-63122 Saint-Genès-Champanelle, France
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Jin X, van Boxtel AJB, Gerkema E, Vergeldt FJ, Van As H, van Straten G, Boom RM, van der Sman RGM. Anomalies in moisture transport during broccoli drying monitored by MRI? Faraday Discuss 2012; 158:65-75; discussion 105-24. [DOI: 10.1039/c2fd20049j] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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