吞咽困难
傅里叶变换红外光谱
扫描电子显微镜
材料科学
食品科学
3d打印
吞咽
流变学
复合材料
生物医学工程
化学
化学工程
医学
牙科
外科
工程类
作者
Zhenbin Liu,Xi Chen,Quanyu Dai,Dan Xu,Liangbin Hu,Hongbo Li,Subrota Hati,Bimal Chitrakar,Lishan Yao,Haizhen Mo
标识
DOI:10.1016/j.foodhyd.2023.108497
摘要
With a rapid ageing population, there is an increasing need for the dysphagia diet because of the chewing/swallowing difficulty suffered by the elderly. 3D printing is able to create appetitive and attractive dysphagia diet. We investigated the potential to develop appealing pea protein isolate (PPI) based dysphagia diet using 3D printing by incorporating xanthan gum (XG) at rates of 0.05, 0.1, 0.3, 0.5, 0.7 and 1% (w/w). Their interaction was investigated by scanning electron microscope (SEM), confocal laser scanning microscope (CLSM), Fourier transform infrared (FTIR), and low-field nuclear magnetic resonance (LF-NMR). Rheological properties and 3D printing behavior were also correlated. The 3D printed product was evaluated through International Dysphagia Diet Standardization Initiative (IDDSI) and chewing/swallowing sensory test. Results indicated that, at a relatively small amount of XG addition (0.05, 0.1 and 0.3%), a relatively uniform microstructure was formed with improved mechanical strength (Yield stress, elastic modulus (G′), and viscosity). Further increase in XG addition (0.7 and 1.0%) resulted in an increase in thermodynamic incompatibility between PPI and XG, causing a phase separation and polymer aggregation, which ultimately decreased the mechanical strength of inks. FTIR indicated that the addition of XG increased PPI β-pleated sheet and β-turn, and decreased the contents of random coil and antiparallel β-sheet. XG-0.3% samples demonstrated high printing precision with great self-supporting capability, smooth surface texture and great sensory evaluation, which could be classified as level 4-pureed/extremely thick dysphagia diet. This work provides insights for the development of visually appealing dysphagia diet using 3D printing.
科研通智能强力驱动
Strongly Powered by AbleSci AI