scholarly journals Chemical Composition and Glycemic Index of Gluten-Free Bread Commercialized in Brazil

Nutrients ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2234
Author(s):  
Bernardo Romão ◽  
Raquel Braz Assunção Botelho ◽  
Ernandes Rodrigues Alencar ◽  
Vera Sônia Nunes da Silva ◽  
Maria Teresa Bertoldo Pacheco ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Glycemic Index ◽  
Production Control ◽  
Information Source ◽  
Analytical Data ◽  
Composition Analysis ◽  
Dietary Control ◽  
Gluten Free ◽  
Two Samples ◽  
High Glycemic Index

Nowadays, the world is experiencing an increased demand for gluten-free products associated with the high prevalence of gluten-related disorders (GRD). As this market thrives, bread stands out as the most demanded and consumed product, highlighting the need to evaluate its nutritional quality. In this sense, this cross-sectional study aimed to assess the ingredients, chemical composition, and glycemic index of gluten-free bread (GFB) commercialized nationwide in Brazil. The labels were analyzed according to their ingredients and composition. In addition, centesimal composition analysis (moisture, carbohydrates, protein, ash, lipid, and fiber) was performed using the official methods, as well as the in vivo glycemic index. Significant differences between manufacturing lots of each brand and between different gluten-free bread samples were found. There is a mismatch from what is stipulated by the Brazilian legislation between analytical data and the data described on sample labels. Samples showed predominantly refined starch and high glycemic index profile. Most samples (75%, n = 6) of the non-whole gluten-free bread (n = 8) presented high glycemic index (GI). From four whole food/multigrain gluten-free bread samples, three of them (75%) presented medium GI. However, two samples presented GI near the value to be considered high. The results suggest a lack of production control, impairing the gluten-free nutritional label as a reliable information source and tool for dietary control. Therefore, it is necessary to standardize the process of gluten-free bread production and labeling, as well as to improve the nutritional characteristics of these products, aiming the give accurate information to consumers and provide a healthier product beyond the sensory characteristics.

Gluten-Free Snacks Using Plantain-Chickpea and Maize Blend: Chemical Composition, Starch Digestibility, and Predicted Glycemic Index

2015 ◽  
Vol 80 (5) ◽  
pp. C961-C966 ◽  
Author(s):  
Pamela C. Flores-Silva ◽  
Sandra L. Rodriguez-Ambriz ◽  
Luis A. Bello-Pérez
Keyword(s):  
Chemical Composition ◽  
Glycemic Index ◽  
Starch Digestibility ◽  
Gluten Free

scholarly journals Correction: Yu, D.Q., et al. Microscopic Characteristic and Chemical Composition Analysis of Three Medicinal Plants and Surface Frosts. Molecules 2019, 24, 4548

Molecules ◽  
2021 ◽  
Vol 26 (2) ◽  
pp. 379
Author(s):  
Da Qing Yu ◽  
Xiao Jing Han ◽  
Ting Yu Shan ◽  
Rui Xu ◽  
Jin Hu ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Medicinal Plants ◽  
Composition Analysis ◽  
Microscopic Characteristic ◽  
Chemical Composition Analysis

The authors would like to correct an error in the title paper [...]

scholarly journals Glycemic Index of Gluten-Free Bread and Their Main Ingredients: A Systematic Review and Meta-Analysis

Foods ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 506
Author(s):  
Bernardo Romão ◽  
Ana Luísa Falcomer ◽  
Gabriela Palos ◽  
Sandra Cavalcante ◽  
Raquel Braz Assunção Botelho ◽  
...  
Keyword(s):  
Systematic Review ◽  
Glycemic Index ◽  
Resistant Starch ◽  
Web Of Science ◽  
Meta Analysis ◽  
Gluten Free ◽  
Inclusion Criteria ◽  
Glycemic Profile

This study aimed to perform a systematic review and meta-analysis of the glycemic index (GI) of gluten-free bread (GFB) and its main ingredients. The systematic review followed PRISMA guidelines, using seven electronic databases (PubMed, EMBASE, Scopus, Science Direct, Web of Science, gray literature research with Google Scholar, and patents with Google Patent tool), from inception to November 2020. Eighteen studies met the inclusion criteria evaluating 132 GFB samples. Five articles tested GI in vivo, eleven in vitro; and two studies tested both methods. The analysis showed that 60.7% (95% CI: 40.2–78.1%) of the samples presented high glycemic indexes, evidencing a high glycemic profile for GFB. Only 18.2% (95% CI: 11.7–27.2%) of the bread samples presented in the studies were classified as a low GI. Meta-analysis presented moderate/low heterogenicity between studies (I2 = 61% and <1% for both high and low GIs) and reinforced the proportion of high GIs. Lower GIs were found in formulations based on Colocasia esculenta flour or enriched with fiber, yogurt and curd cheese, sourdough, psyllium, hydrocolloids, enzymes, fructans, and resistant starch, highlighting the efficacy of these ingredients to lower GFBs’ GI. GFB tends to present high GI, impacting the development of chronic diseases when consumed.

Chemical composition analysis of carbohydrate fragmentation products

2021 ◽  
Vol 156 ◽  
pp. 105112
Author(s):  
Samin Fathalinejad ◽  
Esben Taarning ◽  
Peter Christensen ◽  
Jan H. Christensen
Keyword(s):  
Chemical Composition ◽  
Composition Analysis ◽  
Chemical Composition Analysis

scholarly journals MEASURING BANK EFFICIENCY: DEA APPLICATION

2014 ◽  
Vol 20 (4) ◽  
pp. 739-757 ◽  
Author(s):  
Jelena Titko ◽  
Jelena Stankevičienė ◽  
Nataļja Lāce
Keyword(s):  
Banking Sector ◽  
Linear Regression Analysis ◽  
Analytical Data ◽  
Returns To Scale ◽  
Mean Values ◽  
Dea Model ◽  
Two Samples ◽  
Variables Selection ◽  
Measuring Efficiency ◽  
Selection For

The paper aims to improve the methodology of measuring efficiency of Latvian banks. Efficiency scores were calculated with application of non-parametric frontier technique Data Envelopment Analysis (DEA). Input-oriented DEA model under Variable Returns to Scale (VRS) assumption was used. Potential model variables were selected based on the intermediation and profitability approach. Fourteen alternative models with different inputs-outputs combinations were developed for the research purposes. To substantiate the variables selection for DEA model the received data was processed, using such methods, as correlation analysis, linear regression analysis, analysis of mean values, and two-samples Kolmogorov-Smirnov test. The research results assisted the authors in providing general recommendations about the variables selection for DEA application in the Latvian banking sector. The present research contributes to the existing analytical data on bank performance in Latvia. The empirical findings provide a background for further studies, in particular, the efficiency of Latvian banks could be analysed in the extended time period.

Chemical Composition of Two Samples of Essential Oil ofSatureja boliviana(Benth.) Briq. from Peru and Bolivia

1996 ◽  
Vol 8 (3) ◽  
pp. 307-309 ◽  
Author(s):  
Roser Vila ◽  
Begoña Milo ◽  
Cecilia Labbé ◽  
Orlando Muñoz ◽  
Emma Urrunaga Soria ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Essential Oil ◽  
Two Samples

Research on Process Mineralogy of Potassium-Rich Shale

2010 ◽  
Vol 158 ◽  
pp. 197-203 ◽  
Author(s):  
Jie Liu ◽  
Yue Xin Han ◽  
Wan Zhong Yin
Keyword(s):  
Chemical Composition ◽  
Mineral Composition ◽  
Potassium Feldspar ◽  
Composition Analysis ◽  
Research Results ◽  
Dsc Analyses ◽  
Process Mineralogy ◽  
Mineral Compositions ◽  
Chemical Composition Analysis

The process mineralogy of potassium-rich shale from Chaoyang of Liaoning, China, was studied. Research results showed there are much less variety and smaller quantities in mineral compositions. Calculated mineral composition by means of chemical composition analysis combined with XRD, MLA, IR and TG-DSC analyses showed that main minerals with were Potassium-feldspar, muscovite, biotite and illite, and gangue minerals were quartz and small amounts of hematite. Potassium-rich minerals such as potassium-feldspar and muscovite contact smoothly with quartz respectively, and there was the direction arrangement among potassium-feldspar, quartz and muscovite in the shale. And quartz and hematite were main cement in the shale. The influences of the research results on the potassium extraction from potassium-rich shale were distinct.

Analysis of Physical Structure and Chemical Composition of Oil-Water Transition Layer in Oil Gathering and Transportation System

2013 ◽  
Vol 652-654 ◽  
pp. 2566-2569
Author(s):  
Dan Dan Yuan ◽  
Hong Jun Wu ◽  
Hai Xia Sheng ◽  
Bao Hui Wang ◽  
Xin Sui
Keyword(s):  
Chemical Composition ◽  
Transition Layer ◽  
Suspended Solids ◽  
Solid Phase ◽  
Freezing Point ◽  
Analytical Data ◽  
Transportation System ◽  
Physical Structure ◽  
Efficient Treatment ◽  
Oil Water

he existence of oil-water transition layer brings a great trouble to the dehydration of oil gathering and transportation system. It leads to raising the electric current of dehydrator and becoming worse of the deoiling and dehydrating properties of the treatment equipment, resulting in the serious influences on oil recovery. For the efficient treatment of the transition layer, it is necessary clearly to understand the structure and composition of the layer. In this paper, the physical structure and chemical composition of the layer were systematically, layer by layer and phase by phase, analyzed by modern instrumental methods The results show that (1）the layer is an emulsion which is composed of oil, water and suspended solids. The water phase has characteristics of weak alkaline，high salinity and viscous polymer. The oil phase contains many natural emulsifiers such as colloid, asphaltene and so on. The solid phase mainly concludes FeS particle which plays a decisive role in suspended solids; (2) the typical transition layer is composed of water and oil which accounts for above 90%, the content of solid impurity, which controls the emulsion of the layer, is less than 10%. Compared with oil phase, the water content of typical transition layer is larger with the density of 0.9~1.0 g/L and high freezing point. The analytical data can be adopted for the treatment of oil-water transition layer and smoothly run operations for oil gathering and transportation.

Sign in / Sign up

Export Citation Format

Share Document