KMS Of Academy of mathematics and systems sciences, CAS
| An optimized industry processing technology of peanut tofu and the novel prediction model for suitable peanut varieties | |
Chen Bing-yu1; Li Qi-zhai2 ; Hu Hui1; Meng Shi1; Shah, Faisal1; Wang Qiang1; Liu Hong-zhi1
| |
| 2020-09-01 | |
| Source Publication | JOURNAL OF INTEGRATIVE AGRICULTURE
 |
| ISSN | 2095-3119 |
| Volume | 19Issue:9Pages:2340-2351 |
| Abstract | Peanut protein is easily digested and absorbed by the human body, and peanut tofu does not contain flatulence factors and beany flour. However, at present, there is no industrial preparation process of peanut tofu, whereas the quality of tofu prepared by different peanut varieties is quite different. This study established an industrial feasible production process of peanut tofu and optimized the key process that regulates its quality. Compared with the existing method, the production time is reduced by 53.80%, therefore the daily production output is increased by 183.33%. The chemical properties of 26 peanut varieties and the quality characteristics of tofu prepared from these 26 varieties were determined. The peanut varieties were classified based on the quality characteristics of tofu using the hierarchical cluster analysis (HCA) method, out of which 7 varieties were screened out which were suitable for preparing peanut tofu. An evaluation standard was founded based on peanut tofu qualities. Six chemical trait indexes were correlated with peanut tofu qualities (P<0.05). A logistic regressive model was developed to predict suitable peanut varieties and this prediction model was verified. This study may help broaden the peanut protein utilization, and provide guidance for breeding experts to select certain varieties for product specific cultivation of peanut. |
| Keyword | peanut tofu process quality peanut variety selection evaluation standard prediction model |
| DOI | 10.1016/S2095-3119(20)63249-X |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | earmarked fund for China Agriculture Research System[CARS-13-03A] ; Corps Science and Technology Development Special Promotion Achievement Transformation Guidance Plan, Xinjiang, China[2018BC012] ; TaiShan Industrial Experts Programme, China[LJNY201711] |
| WOS Research Area | Agriculture |
| WOS Subject | Agriculture, Multidisciplinary |
| WOS ID | WOS:000557421300019 |
| Publisher | ELSEVIER SCI LTD |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/51956 |
| Collection | 系统科学研究所 |
| Corresponding Author | Liu Hong-zhi |
| Affiliation | 1.Chinese Acad Agr Sci, Inst Food Sci & Technol, Beijing 100193, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China |
| Recommended Citation GB/T 7714 | Chen Bing-yu,Li Qi-zhai,Hu Hui,et al. An optimized industry processing technology of peanut tofu and the novel prediction model for suitable peanut varieties[J]. JOURNAL OF INTEGRATIVE AGRICULTURE,2020,19(9):2340-2351. |
| APA | Chen Bing-yu.,Li Qi-zhai.,Hu Hui.,Meng Shi.,Shah, Faisal.,...&Liu Hong-zhi.(2020).An optimized industry processing technology of peanut tofu and the novel prediction model for suitable peanut varieties.JOURNAL OF INTEGRATIVE AGRICULTURE,19(9),2340-2351. |
| MLA | Chen Bing-yu,et al."An optimized industry processing technology of peanut tofu and the novel prediction model for suitable peanut varieties".JOURNAL OF INTEGRATIVE AGRICULTURE 19.9(2020):2340-2351. |
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