To explore the feasibility of substituting waxy rice with waxy or sweet-waxy corn, eight varieties of waxy and sweet-waxy corns were selected, including three self-cultivated varieties (Feng nuo 168, Feng nuo 211, and Feng nuo 10). Their starches were isolated and used as research objects, and commercially available waxy rice starch (CAWR) and waxy corn starch (CAWC) were used as controls. X-ray diffraction, scanning electron microscopy, differential scanning calorimetry, rapid viscosity analyzer, and rotational rheometer were used to analyze their physicochemical and structural characteristics. The morphologies of all corn starch granules were generally oval or round, with significant differences in particle size distributions. All ten starches exhibited a typical A-type crystal structure; however, their relative crystallinity varied from 20.08% to 31.43%. Chain length distribution analysis showed that the A/B ratio of Jing cai tian nuo 18 and Feng nuo 168 was similar to that of CAWR. Peak viscosities of corn starches were higher than that of CAWR, except for Feng nuo 10, while their setback values were lower than that of CAWR. Except for Feng nuo 10, the paste transparency of corn starches was higher than that of CAWR (10.77%), especially for Jing cai tian nuo 18 (up to 24%). In summary, Jing cai tian nuo 18 and Feng nuo 168 are promising candidates to replace CAWR in developing various rice-based products.
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http://dx.doi.org/10.1016/j.foodres.2024.114178 | DOI Listing |
Int J Biol Macromol
December 2024
Associated Discipline Key Laboratory of Whole Grain Nutrition and High-Value Utilization, School of Food Engineering, Anhui Science and Technology University, 9 Donghua Road, Fengyang 233100, China. Electronic address:
In this study, the chain length distribution (CLD) of amylopectin in eight varieties of corn, the properties of corn flour, and the quality of the corresponding sweet dumplings were analyzed, with commercially available waxy corn (CAWC) and waxy rice (CAWR) as controls. Three test samples (Feng nuo 168, Feng nuo 211, and Feng nuo 10) exhibited significant differences (P < 0.05) in the pasting properties of the whole flours from the other samples, with Feng nuo 10 exhibiting lower viscosity, breakdown, and setback, while Feng nuo 211 exhibited the highest viscosity and breakdown.
View Article and Find Full Text PDFFood Res Int
April 2024
School of Food Engineering, Anhui Science and Technology University, 9 Donghua Road, Fengyang 233100, China. Electronic address:
Eur Respir J
June 2020
China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
Background: During the outbreak of coronavirus disease 2019 (COVID-19), consistent and considerable differences in disease severity and mortality rate of patients treated in Hubei province compared to those in other parts of China have been observed. We sought to compare the clinical characteristics and outcomes of patients being treated inside and outside Hubei province, and explore the factors underlying these differences.
Methods: Collaborating with the National Health Commission, we established a retrospective cohort to study hospitalised COVID-19 cases in China.
Eur Respir J
May 2020
Dept of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
Background: The coronavirus disease 2019 (COVID-19) outbreak is evolving rapidly worldwide.
Objective: To evaluate the risk of serious adverse outcomes in patients with COVID-19 by stratifying the comorbidity status.
Methods: We analysed data from 1590 laboratory confirmed hospitalised patients from 575 hospitals in 31 provinces/autonomous regions/provincial municipalities across mainland China between 11 December 2019 and 31 January 2020.
Phys Chem Chem Phys
December 2019
State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, P. R. China. and School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, P. R. China.
The application of low-dimensional materials for heat dissipation requires a comprehensive understanding of thermal transport at cross-interfaces, which widely exist in various composite materials and electronic devices. In this work, an analytical model is proposed, named as the cross-interface model (CIM), to accurately reveal the essential mechanism of the two-dimensional thermal transport at cross-interfaces. The applicability of CIM is validated through a comparison of the analytical results with molecular dynamics simulations for a typical cross-interface between two overlapped boron nitride nanoribbons.
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