The Effect of Fiber Content on the Post-cracking Tensile Stiffness Capacity of R-UHPFRC

Author(s):  
M. Khorami ◽  
Juan Navarro-Gregori ◽  
Pedro Serna
2017 ◽  
Vol 19 (2) ◽  
pp. 140
Author(s):  
Setyowati Setyowati

Background: The nutritional therapy management of diabetes mellitus patient lies in the proper diet and food selection arrangement. There is an eating recomendation (3 times for main food and 3 times of snackfood) that needed to be noted. One of the snack food that been allowed is brownie, as baked product and cake category. Modification on brownie recipe are needed to improve quality of the food. Objective: To understand a brownie recipe as snack food for diabetes mellitus patient based on physical quality, organoleptic quality, nutritional value and fiber content. Methods: The type of this research is an artificial experiment. The variables were modified brownie recipes; physical quality; organoleptic quality to colour, flavor, aroma, and texture; nutritional value, and fiber content. The subject of the study are 36 people with diabetes and 17 expert panelists. The object of this research is 3 kinds of brownie (red bean brownie, green bean brownie and peanut brownie). This research is conducted at Poltekkes Kemenkes Yogyakarta and Prolanis Organization in Puskemas Gamping 1 area, Sleman, Yogyakarta on February-September 2016. The data analysis of this research is done descriptively and analytically. Results: There is 3 brownie as modification results (green bean brownie, red bean brownie and peanut brownie). Those brownie have physical traits such as darker brown in colour, little bit sweet, have nutty flour aroma and little bit soft as a texture. Based on organoleptic quality, peanut brownie is the most preferred brownie. Based on analysis of chemical nutrition and fiber. Brownies tahat qualify the diet of people with diabetes mellitus is peanut brownie. Peanut brownie also been accepted by diabetes mellitus patient. Conclusion: Peanut brownie as modification results choosen as snack food alternatives for diabetes mellitus patient.


2018 ◽  
Vol 16 (2) ◽  
pp. 219-226
Author(s):  
Sri Rizqi Annisa ◽  
Dewi Larasati ◽  
Endang Bekti K

The aim of this study was to determine the characterization of shredded mureel fish with kluwih substitution on water content, protein content, fiber content and organoleptic (preference for crispness and taste). This study uses a simple Randomized Complete Design (RCD) with the substitution treatment of kluwih and mureel fish, with the following ratio: S1 (240g: 60g), S2 (210g: 90g), S3 (180g: 120g), S4 (150g: 150g), S5 (120g: 180g). Data were analyzed statistically by analysis of variance and if there was a significant effect, further testing was done with BNJ at the level of 5%. The results showed that kluwih substitution in the manufacture of mureel fish shredded had an average: water content of 8.33-10.62%, protein :16.83-22.00%, fiber : 6.79-6.99%, score crispness 2-6.12, taste score 2.6-6.6. Based on the results of the analysis of the variety of kluwih substitutes and mureel fish have a significant effect on water content, protein content and crisp organoleptic test, taste on mureel fish fillet, and no significant effect on fiber content. The best kluwih substitution in S3 treatment with 120 grams of substitute kluwih and 180 grams of mureel fish.


2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Xuyang Pan ◽  
Laijun Sun ◽  
Guobing Sun ◽  
Panxiang Rong ◽  
Yuncai Lu ◽  
...  

AbstractNeutral detergent fiber (NDF) content was the critical indicator of fiber in corn stover. This study aimed to develop a prediction model to precisely measure NDF content in corn stover using near-infrared spectroscopy (NIRS) technique. Here, spectral data ranging from 400 to 2500 nm were obtained by scanning 530 samples, and Monte Carlo Cross Validation and the pretreatment were used to preprocess the original spectra. Moreover, the interval partial least square (iPLS) was employed to extract feature wavebands to reduce data computation. The PLSR model was built using two spectral regions, and it was evaluated with the coefficient of determination (R2) and root mean square error of cross validation (RMSECV) obtaining 0.97 and 0.65%, respectively. The overall results proved that the developed prediction model coupled with spectral data analysis provides a set of theoretical foundations for NIRS techniques application on measuring fiber content in corn stover.


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