Gluten-free bread: multiple time-intensity analysis, physical characterisation and acceptance test

2013 ◽  
pp. n/a-n/a ◽  
Author(s):  
Elisa Carvalho de Morais ◽  
Adriano Gomez Cruz ◽  
Helena Maria Andre Bolini
Keyword(s):  
Multiple Time ◽  
Acceptance Test ◽  
Gluten Free ◽  
Intensity Analysis

Time–intensity analysis and acceptance test for traditional and light vanilla ice cream

2011 ◽  
Vol 44 (3) ◽  
pp. 677-683 ◽  
Author(s):  
Rafael Silva Cadena ◽  
Helena Maria André Bolini
Keyword(s):  
Ice Cream ◽  
Acceptance Test ◽  
Intensity Analysis

scholarly journals Investigation of Alcohol Factor Influence in Quantitative Descriptive Analysis and in the Time-Intensity Profile of Alcoholic and Non-Alcoholic Commercial Pilsen Beers Samples

Beverages ◽  
2020 ◽  
Vol 6 (4) ◽  
pp. 73
Author(s):  
Juliana A. Paixão ◽  
Elson Tavares Filho ◽  
Helena Maria André Bolini
Keyword(s):  
Product Quality ◽  
Bitter Taste ◽  
Descriptive Analysis ◽  
Sensory Profile ◽  
Acceptance Test ◽  
Intensity Analysis ◽  
Brewing Industry ◽  
Quantitative Descriptive Analysis ◽  
Quantitative Descriptive ◽  
Dynamic Profile

In recent years, non-alcoholic beers have presented a growth considered satisfactory and exciting for the brewing industry. Such growth is allied to a change in the consumer profile, in addition to changes in traffic laws. However, the consumer seeks a product considered healthier, but as tasty as the original. Thus, this study aimed to identify the influence of the alcoholic factor in sensory profile, through quantitative descriptive analysis and time intensity analysis of Pilsen beer samples. An acceptance test with 120 consumers of beer was performed. A quantitative descriptive analysis was carried out by 11 trained assessors to determine the sensory profile of beers. For identification of influences of alcohol factor in the dynamic profile of alcoholic flavor and bitter taste the time-intensity analysis were realized. The results demonstrate that alcohol factor influences both the quantitative descriptive profile and dynamic profile, in addition the correlations between the quantitative descriptive analysis (QDA®) and hedonic data show that the alcoholic flavor and the alcoholic aroma are attributes that contribute positively to acceptance of samples. In view of the results, studies such as the present are of great importance for the improvement of product quality, directly reflecting a greater acceptance of beer consumers.

MULTIPLE TIME-INTENSITY ANALYSIS AND ACCEPTANCE OF RASPBERRY-FLAVORED GELATIN

2009 ◽  
Vol 24 (5) ◽  
pp. 648-663 ◽  
Author(s):  
ALESSANDRA B. PALAZZO ◽  
HELENA M.A. BOLINI
Keyword(s):  
Multiple Time ◽  
Intensity Analysis

Analysis of various sweeteners in low-sugar mixed fruit jam: equivalent sweetness, time-intensity analysis and acceptance test

2013 ◽  
Vol 48 (7) ◽  
pp. 1541-1548 ◽  
Author(s):  
Vanessa R. de Souza ◽  
Patrícia A. P. Pereira ◽  
Ana Carla M. Pinheiro ◽  
Helena M. A. Bolini ◽  
Soraia V. Borges ◽  
...  
Keyword(s):  
Acceptance Test ◽  
Intensity Analysis

scholarly journals Exploring Spatio-temporal change in global land cover using categorical intensity analysis

2021 ◽  
Author(s):  
M Lamchin ◽  
Thomas Bilintoh ◽  
Woo-Kyun Lee ◽  
Altansukh Ochir ◽  
Chul-Hee Lim
Keyword(s):  
South America ◽  
Land Cover ◽  
Land Degradation ◽  
Urban Areas ◽  
Multiple Time ◽  
Intensity Analysis ◽  
Tropical Regions ◽  
Global Land Cover ◽  
Global Land ◽  
Spatio Temporal

Global land degradation and urbanization are rapidly progressing during the 21st century. Herein, we assessed Spatio-temporal changes in global land cover using categorical intensity analyses from 1992 to 2018 to evaluate global land degradation and urbanization. Specifically, we evaluated the decrease, increase, and expansion processes and observed temporal differences. These evaluations were performed on a global scale across continents and climates at a category level for six-term intervals. Intensity analysis is a means of characterizing differences between sets at multiple time points using mathematics. In this study, inputs were gridded land cover from 1992, 1997, 2002, 2007, 2012, 2015, and 2018 and for six land categories: “Cropland,” “Forest,” “Shrubland,” “Built,” “Bare areas,” and “Other” The analysis of change for the 26 years shows that the cropland area increased globally by 786,656 km2 between 1992 and 2018. The areas occupied by forests continuously decreased by 936,960 km2, especially in South America which experienced the highest decline. Urban areas increased by 436,084 km2, with the highest increase observed in temperate regions. This paper concludes that for the last 26 years, land has been converted and degraded attributable to urbanization in temperate regions. Additionally, in South America and tropical regions, the expansion of cropland is the biggest contributor to the decline in “Forests” and “Shrubland”. The largest component of change was observed for the “Built” category. while, “Forest” and “Cropland” experienced significant losses and gains in the first, second, and third intervals.

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