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Arufe S, Ayetigbo O, Domingo R, Adinsi L, Djibril Moussa MI, Honfozo L, Akissoé NH, Bouniol A, Mestres C. Instrumental procedures to assess the extensibility of pounded yam and relationship with sensory stretchability and consumer preferences. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2024; 104:4738-4745. [PMID: 37012492 DOI: 10.1002/jsfa.12598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 03/17/2023] [Accepted: 04/04/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND Stretchability is the most important sensory textural attribute considered by consumers of pounded yam. It is important both for the processor during pounding and for the consumer during consumption to measure this attribute while screening large populations of yam genotypes intended for advanced breeding and eventual adoption. Texture determined by sensory evaluation and consumer perception is time consuming and expensive. It can be instrumentally mimicked by texture analyzer, thereby providing an efficient alternative screening tool. RESULTS Two instrumental methods (uniaxial extensibility and lubricated squeezing flow) were applied to assess the extensional properties of pounded yam. In order to evaluate the accuracy, repeatability and discrimination of the methods, six yam genotypes with contrasting extensional properties, previously evaluated by 13 panellists in terms of stretchability and moldability and by 99 participants randomly selected in terms of overall liking, were used. Both methods allowed the discrimination of different genotypes as a function of extensional properties. Principal components showed that the genotypes were grouped within separate components associated with specific sensory attributes and their related instrumental texture parameters. Moreover, significant correlations were found between uniaxial extensibility textural attributes, bi-extensional viscosity and consumer overall liking. However, the sensory attributes were not significantly correlated with instrumental data and consumer overall liking. CONCLUSION Bi-extensional viscosity and uniaxial extensibility attributes can be used to discriminate and screen yam genotypes for their stretchability characteristics. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
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Affiliation(s)
- Santiago Arufe
- CIRAD, UMR QualiSud, Montpellier, France
- QualiSud, Univ Montpellier, Avignon Université, CIRAD, Institut Agro, IRD, Université de La Réunion, Montpellier, France
| | - Oluwatoyin Ayetigbo
- CIRAD, UMR QualiSud, Montpellier, France
- QualiSud, Univ Montpellier, Avignon Université, CIRAD, Institut Agro, IRD, Université de La Réunion, Montpellier, France
| | - Romain Domingo
- CIRAD, UMR QualiSud, Montpellier, France
- QualiSud, Univ Montpellier, Avignon Université, CIRAD, Institut Agro, IRD, Université de La Réunion, Montpellier, France
| | - Laurent Adinsi
- Faculté des Sciences Agronomiques, Université d'Abomey-Calavi, Cotonou, Benin
- Ecole des Sciences et Techniques de Conservation et de Transformation des Produits Agricoles, Université Nationale d'Agriculture, Sakété, Benin
| | | | - Laurenda Honfozo
- Faculté des Sciences Agronomiques, Université d'Abomey-Calavi, Cotonou, Benin
| | - Noël H Akissoé
- Faculté des Sciences Agronomiques, Université d'Abomey-Calavi, Cotonou, Benin
| | - Alexandre Bouniol
- QualiSud, Univ Montpellier, Avignon Université, CIRAD, Institut Agro, IRD, Université de La Réunion, Montpellier, France
- CIRAD, UMR QualiSud, Cotonou, Benin
| | - Christian Mestres
- CIRAD, UMR QualiSud, Montpellier, France
- QualiSud, Univ Montpellier, Avignon Université, CIRAD, Institut Agro, IRD, Université de La Réunion, Montpellier, France
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Zhang Y, Wang D, Zhang Z, Guan H, Zhang Y, Xu D, Xu X, Li D. Improvement on wheat bread quality by in situ produced dextran-A comprehensive review from the viewpoint of starch and gluten. Compr Rev Food Sci Food Saf 2024; 23:e13353. [PMID: 38660747 DOI: 10.1111/1541-4337.13353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 03/12/2024] [Accepted: 04/03/2024] [Indexed: 04/26/2024]
Abstract
Deterioration of bread quality, characterized by the staling of bread crumb, the softening of bread crust and the loss of aroma, has caused a huge food waste and economic loss, which is a bottleneck restriction to the development of the breadmaking industry. Various bread improvers have been widely used to alleviate the issue. However, it is noteworthy that the sourdough technology has emerged as a pivotal factor in this regard. In sourdough, the metabolic breakdown of carbohydrates, proteins, and lipids leads to the production of exopolysaccharides, organic acids, aroma compounds, or prebiotics, which contributes to the preeminent ability of sourdough to enhance bread attributes. Moreover, sourdough exhibits a "green-label" feature, which satisfies the consumers' increasing demand for additive-free food products. In the past two decades, there has been a significant focus on sourdough with in situ produced dextran due to its exceptional performance. In this review, the behaviors of bread crucial compositions (i.e., starch and gluten) during dough mixing, proofing, baking and bread storing, as well as alterations induced by the acidic environment and the presence of dextran are systemically summarized. From the viewpoint of starch and gluten, results obtained confirm the synergistic amelioration on bread quality by the coadministration of acidity and dextran, and also highlight the central role of acidification. This review contributes to establishing a theoretical foundation for more effectively enhancing the quality of wheat breads through the application of in situ produced dextran.
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Affiliation(s)
- Yao Zhang
- School of Grain Science and Technology, Jiangsu University of Science and Technology, Zhenjiang, China
- Postdoctoral Research Program of Materials Science and Engineering, School of Materials Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang, China
- Postdoctoral Programme of Juxiangyuan Health Food (Zhongshan) Co., Ltd., Zhongshan, China
| | - Dongxu Wang
- School of Grain Science and Technology, Jiangsu University of Science and Technology, Zhenjiang, China
| | - Zhihong Zhang
- School of Grain Science and Technology, Jiangsu University of Science and Technology, Zhenjiang, China
| | - Huanan Guan
- School of Grain Science and Technology, Jiangsu University of Science and Technology, Zhenjiang, China
| | - Yanjie Zhang
- Postdoctoral Programme of Juxiangyuan Health Food (Zhongshan) Co., Ltd., Zhongshan, China
| | - Dan Xu
- School of Food Science and Technology, Jiangnan University, Wuxi, China
| | - Xueming Xu
- School of Food Science and Technology, Jiangnan University, Wuxi, China
| | - Dandan Li
- College of Food Science and Technology, Whole Grain Food Engineering Research Center, Nanjing Agricultural University, Nanjing, China
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Wang W, Zhou X, Li W, Liang J, Huang X, Li Z, Zhang X, Zou X, Xu B, Shi J. Real-Time Monitoring of Dough Quality in a Dough Mixer Based on Current Change. Foods 2024; 13:504. [PMID: 38338639 PMCID: PMC10855332 DOI: 10.3390/foods13030504] [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: 11/29/2023] [Revised: 12/18/2023] [Accepted: 12/19/2023] [Indexed: 02/12/2024] Open
Abstract
Accurate assessment of dough kneading is pivotal in pasta processing, where both under-kneading and over-kneading can detrimentally impact dough quality. This study proposes an innovative approach utilizing a cost-effective current sensor to ascertain the optimal kneading time for dough. Throughout the kneading process, the dough's tensile resistance gradually increases, reflecting the evolution of properties such as the gluten network. This leads to a discernible ascending phase in dough quality, evident through an increase in the load current of the mixing machine, succeeded by a subsequent decline beyond a certain threshold. The identification of this peak point enables the achievement of optimal dough consistency, thereby enhancing the overall quality of both the dough and subsequent pasta products. After the final product quality assessment, this novel method promises to be a valuable tool in optimizing pasta processing and ensuring consistent product quality.
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Affiliation(s)
- Wei Wang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Xiaoling Zhou
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
- Chen Ke Ming Food Manufacturing Co., Ltd., Changsha 410000, China
| | - Wenlong Li
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Jing Liang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Xiaowei Huang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Zhihua Li
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Xinai Zhang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Xiaobo Zou
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
- International Joint Research Laboratory of Intelligent Agriculture and Agri-Products Processing, Jiangsu University, Zhenjiang 212013, China
- College of Food Science and Engineering, Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing University of Finance and Economics, Nanjing 210023, China
| | - Bin Xu
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
| | - Jiyong Shi
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
- International Joint Research Laboratory of Intelligent Agriculture and Agri-Products Processing, Jiangsu University, Zhenjiang 212013, China
- College of Food Science and Engineering, Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing University of Finance and Economics, Nanjing 210023, China
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Zhang Y, Wu H, Zhang Y, Fu L. Detoxification of Wheat Gluten by Enzymatic Transamidation under Reducing Condition and Its Application in Typical Food Model. Mol Nutr Food Res 2023; 67:e2300568. [PMID: 37867203 DOI: 10.1002/mnfr.202300568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 09/14/2023] [Indexed: 10/24/2023]
Abstract
SCOPE Gluten, the primary network builder of wheat dough, is responsible for celiac disease or wheat allergy. Transamidation of gluten under reduction conditions has been shown to reduce the potential toxicity of celiac disease, but its application in food preparation has not been extensively studied. This work investigates the use of transamidation in food preparation to address this gap in knowledge. METHODS AND RESULTS This study investigates the effects of transamidation on the toxicity of commercial wheat flour and the apparent structure, digestive level, and rheological characteristics of resultant dough and steamed bread, as a typical food model. The results show that transamidation starts at the kneading stage, as evaluated by using R5 enzyme-linked immunoassay and rat basophils. The potential toxicity of celiac disease is reduced by about 83% when 1% microbial transglutaminase (mTG), 2% l-lysine, and 1% reduced glutathione (GSH) are added, while retaining the original physical and rheological properties of wheat flour. The additional of reduced GSH also improves the in vitro protein digestibility. CONCLUSIONS Although it cannot be a celiac disease treatment directly, this study suggests that transamidation can serve as an alternative method for reducing the gluten toxicity of wheat flour-based food products.
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Affiliation(s)
- Yue Zhang
- School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, 310018, P. R. China
| | - Haoyi Wu
- School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, 310018, P. R. China
| | - Yan Zhang
- Hebei Food Inspection and Research Institute, Hebei Food Safety Key Laboratory, Key Laboratory of Special Food Supervision Technology for State Market Regulation, Hebei Engineering Research Center for Special Food Safety and Health, Shijiazhuang, 050227, P. R. China
| | - Linglin Fu
- School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, 310018, P. R. China
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Derossi A, Di Palma E, Moses JA, Santhoshkumar P, Caporizzi R, Severini C. Avenues for non-conventional robotics technology applications in the food industry. Food Res Int 2023; 173:113265. [PMID: 37803578 DOI: 10.1016/j.foodres.2023.113265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 07/06/2023] [Accepted: 07/11/2023] [Indexed: 10/08/2023]
Abstract
Robots in manufacturing alleviate hazardous environmental conditions, reduce the physical/mental stress of the workers, maintain high precision for repetitive movements, reduce errors, speed up production, and minimize production costs. Although robots have pervaded many industrial sectors and domestic environments, the experiments in the food sectors are limited to pick-and-place operations and meat processing while we are assisting new attention in gastronomy. Given the great performances of the robots, there would be many other intriguing applications to explore which could usher the transition to precision food manufacturing. This review wants open thoughts and opinions on the use of robots in different food operations. First, we reviewed the recent advances in common applications - e.g. novel sensors, end-effectors, and robotic cutting. Then, we analyzed the use of robots in other operations such as cleaning, mixing/kneading, dough manipulation, precision dosing/cooking, and additive manufacturing. Finally, the most recent improvements of robotics in gastronomy with their use in restaurants/bars and domestic environments, are examined. The comprehensive analyses and the critical discussion highlighted the needs of further scientific understanding and exploitation activities aimed to fill the gap between the laboratory-scale results and the validation in the relevant environment.
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Affiliation(s)
- A Derossi
- Department of Agriculture, Food, Natural Resources and Engineering (DAFNE), University of Foggia, Italy
| | - E Di Palma
- Department of Agriculture, Food, Natural Resources and Engineering (DAFNE), University of Foggia, Italy
| | - J A Moses
- Computational Modeling and Nanoscale Processing Unit, National Institute of Food Technology, Entrepreneurship and Management - Thanjavur, MoFPI, Govt. of India, Thanjavur, Tamil Nadu 613005, India
| | - P Santhoshkumar
- Computational Modeling and Nanoscale Processing Unit, National Institute of Food Technology, Entrepreneurship and Management - Thanjavur, MoFPI, Govt. of India, Thanjavur, Tamil Nadu 613005, India
| | - R Caporizzi
- Department of Agriculture, Food, Natural Resources and Engineering (DAFNE), University of Foggia, Italy.
| | - C Severini
- Department of Agriculture, Food, Natural Resources and Engineering (DAFNE), University of Foggia, Italy
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Yazar G. Wheat Flour Quality Assessment by Fundamental Non-Linear Rheological Methods: A Critical Review. Foods 2023; 12:3353. [PMID: 37761062 PMCID: PMC10527890 DOI: 10.3390/foods12183353] [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: 08/10/2023] [Revised: 09/01/2023] [Accepted: 09/04/2023] [Indexed: 09/29/2023] Open
Abstract
Wheat quality assessment involves physical, physicochemical, chemical, and sensory characterization of wheat kernels and the resulting wheat flour, dough, and bread. The physical tests conducted on wheat flour dough are mostly based on empirical methods. Empirical methods have been useful in industry and research to relate wheat flour quality to baking performance. However, these methods have the disadvantage of providing data in arbitrary units, which makes the fundamental interpretation of results difficult. Therefore, this review focuses on the use of fundamental rheological methods to determine wheat flour quality in terms of processing performance. During the transition from wheat flour to bread, wheat flour dough is mostly exposed to large deformations, and the quality of wheat flour determines its response to these large deformations and its baking quality. For this reason, this review only focuses on the application of fundamental rheological tests that are conducted in the non-linear viscoelastic region where wheat flour dough experiences large deformations.
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Affiliation(s)
- Gamze Yazar
- Department of Animal, Veterinary and Food Sciences, University of Idaho, Moscow, ID 83844, USA
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Dufour M, Foucat L, Hugon F, Dugué A, Chiron H, Della Valle G, Kansou K, Saulnier L. Water mobility and microstructure of gluten network during dough mixing using TD NMR. Food Chem 2023; 409:135329. [PMID: 36599290 DOI: 10.1016/j.foodchem.2022.135329] [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: 09/16/2022] [Revised: 12/22/2022] [Accepted: 12/24/2022] [Indexed: 12/27/2022]
Abstract
This work aimed to establish the relationships between flour components, dough behaviour and changes in water distribution at mixing. TD NMR was used to track water distribution in dough during mixing for different mixing times and hydration levels. Four commercial wheat flours with distinct characteristics were expressly selected to exhibit various dough behaviours at mixing. TD NMR measurements of mixed dough samples revealed four to five water mobility domains depending on the flour type and the mixing modality. A classification tree procedure was used to identify characteristic patterns of water mobility in dough, called hydration states (HS). The HS changes with experimental conditions are highly dependent on flour characteristics, and HS were assigned to physical/chemical changes in the gluten network during dough formation. This study proposes an interpretation of the water distribution in dough based on gluten network development. This will help to adapt the mixing process to the flour characteristics.
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Affiliation(s)
- Maude Dufour
- INRAE, UR BIA, F-44316 Nantes, France; La Boulangère & Co, F-85140 Essarts en Bocage, France
| | - Loïc Foucat
- INRAE, UR BIA, F-44316 Nantes, France; INRAE, PROBE Research Infrastructure, BIBS Facility, F-44316 Nantes, France
| | | | - Aurore Dugué
- La Boulangère & Co, F-85140 Essarts en Bocage, France
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Ubbink J. Editorial Food Physics & Materials Science. Curr Opin Food Sci 2022. [DOI: 10.1016/j.cofs.2022.100945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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