Simulated oral processing of cooked rice using texture analyzer equipped with multiple extrusion cell probe (TA/MEC)

LWT ◽  
2021 ◽  
Vol 138 ◽  
pp. 110731
Author(s):  
Guodong Liu ◽  
Chao Zhang ◽  
Sihan Zhang ◽  
Xingxun Liu ◽  
Junfei Luo ◽  
...  
2018 ◽  
Vol 22 (4) ◽  
pp. 381-385 ◽  
Author(s):  
Heesu Kim ◽  
Im Kyung Oh ◽  
Seonkyeong Yang ◽  
Suyong Lee

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Priyanka Sethupathy ◽  
S. K. Sivakamasundari ◽  
Jeyan. A. Moses ◽  
Chinnaswamy Anandharamakrishnan

AbstractThis research explored the impact of in-vivo oral processing on the bolus properties of three rice varieties [white ponni (WP), mappillai samba (MS), and basmati (B)] that were selected based on variations in the amylose content. The amylose and dry matter content of the WP, MS, and B were 4.67, 7.48, and 13.8(%) and 69.57, 60.09, and 70.47(%), respectively. Mastication features (bite-size, chewing time, and chew cycles), bolus properties (particle size distribution, bolus moisture content, rheology, and starch hydrolysis), time-dependent bolus features (rate of incorporation of saliva and saliva content) and, temporal dominance of sensation (TDS) of cooked rice were studied. Results confirmed the significance of oral processing on various bolus characteristics. Moreover, a pronounced correlation between the morphology of rice varieties and mastication features was observed. The structure and textural characteristics of the different rice varieties (MS, WP, B) showed considerable effects on the consumption time (25.7 s, 22.2 s, 17.8 s) and chewing cycles (34, 31, 23). Rate of saliva incorporation was relatively lesser for MS as compared with WP and B. Solid loss followed the trends WP > MS > B. The total starch content of cooked rice boluseswas WP (82.69 ± 0.01%), MS (79.49 ± 0.01%), and B (71.74 ± 0.01%). Further, texture – TDS and flavor – TDS of all varieties were found to be strongly dependent on textural attributes, composition, and oro-sensory perception. This study provides a significant understanding of the oral processing behavior of rice and its bolus, considering the effect of variations in amylose content, texture, and morphology.


2013 ◽  
Vol 21 (5) ◽  
pp. 566-571 ◽  
Author(s):  
Qi-Ling SONG ◽  
Yi-Tao QI ◽  
Yi-Peng ZHAO ◽  
Yun-Xia WANG ◽  
Pan-Lin LI ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kazunori Matsuda ◽  
Takuya Akiyama ◽  
Satoshi Tsujibe ◽  
Kaihei Oki ◽  
Agata Gawad ◽  
...  

AbstractStool consistency is evaluated mainly in reference to indirect indicators such as water content or the appearance of stool forms using Bristol Stool Form Scale (BSFS). Methods of measurement are limited. We thus aimed to develop a simple protocol for direct measurement of stool consistency using the TA.XTExpress Texture Analyser (Stable Micro Systems Ltd.). We developed a protocol which enables mechanical quantification of the gram-force against a cylindrical probe (ø 6 mm) pushed into the stool surface at 2.0 mm/s to 5 mm depth. The consistency of 252 stools collected from 40 healthy Belgians was evaluated by the direct method and by the indirect indicators (water content and BSFS) for comparison. The log-transformed stool consistency values measured by the texture analyzer had a negative linear correlation with the stool water contents (rrm = − 0.781) with homoscedastic variance, suggesting the appropriateness of the new protocol. They showed a similar correlation with the BSFS, but with a large variance in the consistency values of normal stool forms. This correlation was much smaller for BSFS scored by subjects (rrm = − 0.587) than by experts (rrm = − 0.789), collectively indicating BSFS as a rough indicator of stool consistency susceptible to subjective bias despite its effectiveness in clinical use. The optimized direct method using the texture analyzer enables the accurate quantification of stool consistency, which facilitates understanding of the intestinal environment and function and thus may enhance the value of the stool as a predictor of human health.


Biologia ◽  
2021 ◽  
Author(s):  
Md. Sojiur Rahman ◽  
Md. Sohel Rana ◽  
Md. Biplob Hosen ◽  
Md. Ahsan Habib ◽  
Asaduzzaman Nur ◽  
...  

LWT ◽  
2021 ◽  
Vol 138 ◽  
pp. 110641
Author(s):  
Dandan Pu ◽  
Yuyu Zhang ◽  
Baoguo Sun ◽  
Fazheng Ren ◽  
Huiying Zhang ◽  
...  

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