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Ma Z, Zhu Y, Wang Z, Chen X, Cao J, Liu G, Li G, Wei H, Zhang H. Effect of starch and protein on eating quality of japonica rice in Yangtze River Delta. Int J Biol Macromol 2024; 261:129918. [PMID: 38309388 DOI: 10.1016/j.ijbiomac.2024.129918] [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: 10/06/2023] [Revised: 01/16/2024] [Accepted: 01/31/2024] [Indexed: 02/05/2024]
Abstract
This study examined four types of japonica rice from Yangtze River Delta, categorized based on amylose content (AC) and protein content (PC): high AC with high PC, high AC with low PC, low AC with high PC, and low AC with low PC. It systematically explored the effect of starch, protein and their interactions on eating quality of japonica rice. Rheological analysis revealed that increased amylose, long chains amylopectin or protein levels during cooking strengthen starch-protein interactions (hydrogen bonding), forming a firm gel network. Scanning electron microscopy showed that increased amylose, long chains amylopectin or protein levels made protein and starch more stable in combination during cooking, limiting starch structure cleavage. Therefore, the eating quality of high AC in similar PC japonica rice and high PC in similar AC japonica rice were poor. Further, correlation and random-forest analysis (RFA) identified amylose as the most influential factor in starch-protein interactions affecting rice eating quality, followed by amylopectin and protein. RFA also revealed that in high AC japonica rice, the interactions of Fb3 and albumin with amylose were more conducive to forming good eating quality. In low AC japonica rice, the interactions of Fb2 and prolamin with amylose were more beneficial.
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Affiliation(s)
- Zhongtao Ma
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China; Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China; Research Institute of Rice Industrial Engineering Technology of Yangzhou University, Yangzhou 225009, China
| | - Ying Zhu
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China; Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China; Research Institute of Rice Industrial Engineering Technology of Yangzhou University, Yangzhou 225009, China
| | - Zhijie Wang
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China; Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China; Research Institute of Rice Industrial Engineering Technology of Yangzhou University, Yangzhou 225009, China
| | - Xi Chen
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China; Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China; Research Institute of Rice Industrial Engineering Technology of Yangzhou University, Yangzhou 225009, China
| | - Jiale Cao
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China; Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China; Research Institute of Rice Industrial Engineering Technology of Yangzhou University, Yangzhou 225009, China
| | - Guodong Liu
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China; Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China; Research Institute of Rice Industrial Engineering Technology of Yangzhou University, Yangzhou 225009, China
| | - Guangyan Li
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China; Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China; Research Institute of Rice Industrial Engineering Technology of Yangzhou University, Yangzhou 225009, China
| | - Haiyan Wei
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China; Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China; Research Institute of Rice Industrial Engineering Technology of Yangzhou University, Yangzhou 225009, China.
| | - Hongcheng Zhang
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College of Yangzhou University, Yangzhou 225009, China; Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China; Research Institute of Rice Industrial Engineering Technology of Yangzhou University, Yangzhou 225009, China
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Yin X, Chen X, Hu J, Zhu L, Zhang H, Hong Y. Effects of distribution, structure and interactions of starch, protein and cell walls on textural formation of cooked rice: A review. Int J Biol Macromol 2023; 253:127403. [PMID: 37832614 DOI: 10.1016/j.ijbiomac.2023.127403] [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: 07/17/2023] [Revised: 10/07/2023] [Accepted: 10/10/2023] [Indexed: 10/15/2023]
Abstract
The constitution and forms of rice determine its processing and cooking properties and further control the cooked rice quality. As the two main components, starch and protein content correlations and their characteristics have been extensively explored. However, rice is mainly consumed as polished kernels, components distribution, cytoplasmic matrix, and cell walls work together, and the properties of extracted components or flour are difficult to reflect the quality of cooked rice accurately. Thus, this review summarizes the multi-scale structure changes of main components during real rice cooking conditions. The dynamic thermal changes and leaching behaviors in rice kernels are compared with pure starch or rice flour. The in situ changes and interactions of starch granules, protein bodies, and cell walls during cooking are reviewed. Based on this, different textural evaluation methods are compared, and the advantages and disadvantages are pointed out. The oral chewing perception and bionic chewing simulation for textual evaluation have gradually become hot. Both rice quality controllers and eating quality evaluators attempt to establish an accurate quality evaluation system with the increased demand for high-quality rice.
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Affiliation(s)
- Xianting Yin
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China; National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, China; State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China
| | - Xiaoyu Chen
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China; National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, China; State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China
| | - Jiali Hu
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China; National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, China; State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China
| | - Ling Zhu
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China; National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, China; State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China.
| | - Hui Zhang
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China; National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, China; State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China
| | - Yan Hong
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China; National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, China; State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China
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Liu G, Wang R, Liu S, Xu M, Guo L, Zhang H, Wei H. Relationship between starch fine structure and simulated oral processing of cooked japonica rice. Front Nutr 2022; 9:1046061. [DOI: 10.3389/fnut.2022.1046061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 10/17/2022] [Indexed: 11/05/2022] Open
Abstract
BackgroundSimulated oral processing can be used to evaluate the palatability of cooked rice. Previously, we established a simulated oral processing method using a texture analyzer equipped with a multiple extrusion cell probe (TA/MEC). However, the relationship between oral processing and starch fine structure remains unknown.MethodsIn this study, we analyzed the oral processing properties using TA/MEC and characterized the starch fine structure of japonica rice by size-exclusion chromatography (SEC) and fluorophore-assisted capillary electrophoresis (FACE). The relationship between starch fine structure and oral processing of cooked japonica rice was further investigated.ResultsCooked rice structure contains fast-breakdown (Type I structure), slow-breakdown (Type II structure) and unbreakable structures (Type III structure). Fast-breakdown and slow-breakdown structure were positively correlated with the content of amylose and shorter amylopectin branches. The content of longer amylopectin branches was positively correlated with the contribution of unbreakable structure.ConclusionThe results indicated that cooked japonica rice varieties with more amylose and shorter amylopectin branches tend to form a harder texture and need more work to break down the fast and slow breakdown structures related to rice kernel fragmentation. Meanwhile, cooked japonica rice varieties possess stronger molecular entanglements due to their longer amylopectin branches and contribute more to the breakdown of unbreakable structures. These results can guide breeders to select rice varieties with desirable eating qualities for cultivation.
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