Results 31 to 40 of about 369,126 (164)

Sensory analysis of dehydrated orange juices: quantitative descriptive analysis and sensory acceptability test

Tecnociencia Chihuahua, 2023
The objective of this work was to determine the sensory profile and the degree of acceptability of samples of commercial dehydrated orange juices (A-B-C) by quantitative descriptive analysis (QDA) and sensory acceptability testing.
Marianela Ivana Capitani, María Marcela Rodríguez   +1 more
doaj   +1 more source

Quantitative Descriptive Analysis and Principal Component Analysis for Sensory Characterization of Ultrapasteurized Milk

Journal of Dairy Science, 2001
Quantitative descriptive analysis was used to describe the key attributes of nine ultrapasteurized (UP) milk products of various fat levels, including two lactose-reduced products, from two dairy plants. Principal components analysis identified four significant principal components that accounted for 87.6% of the variance in the sensory attribute data.
K W, Chapman, H T, Lawless, K J, Boor
openaire   +2 more sources

Sensory profile and contribution of major components of aroma in dry red wine quality

Vértices, 2012
This study aimed to determine the sensory profile and main volatile compounds of a set of commercial wines from two major wine regions in Brazil. A total of 28 descriptors were selected by quantitative descriptive analysis, and “red”, “violet”, “pungent ...
Luisa Costa de Oliveira, Maria Eugênia de Oliveira Mamede   +1 more
doaj   +1 more source

APPLICATION OF THE IMAGE ANALYSIS METHODS FOR QUANTITATIVE DESCRIPTION OF THE AL2O3 OXIDE LAYERS [PDF]

METAL Conference Proeedings, 2019
The article presents a method of description the Al2O3 oxide layers structure observed by scanning microscopy. Unusual geometrical features of the structure enforce the use of non-standard techniques for their description. The authors propose the use the descriptors based on skeleton analysis and compare their effectiveness with morphological methods ...
Aneta Gądek-Moszczak, Korzekwa, Joanna
openaire   +1 more source

Sensory characteristics and biochemical basis of small-leaf group varieties of Chinese Sichuan black tea

Scientific Reports
This study combined Quantitative Descriptive Analysis (QDA), PanelCheck, partial least squares regression (PLSR), partial least squares discriminant analysis (PLS-DA), and hierarchical cluster analysis to investigate the sensory quality of Sichuan small ...
Tingting Feng, Xiang Li, Xun Fu, Wenling Zhang, Chunmei Xiong, Yan Zhang   +5 more
doaj   +1 more source

Analysis of Students’ Financial Mathematics Ability: A Descriptive Quantitative Study

Desimal
In an era of increasing financial complexity, the ability to apply mathematical reasoning in financial decision making has become a critical competence for university students, yet many still struggle to translate mathematical knowledge into practical ...
Eka Pravitasari Putri, Muhammad Syahrul Kahar, Oktovianus A. Kawaitou   +2 more
doaj   +1 more source

Challenges and a response strategy for the development of nursing in China: a descriptive and quantitative analysis [PDF]

Journal of Evidence-Based Medicine, 2013
AbstractObjectiveTo assess the challenges to and provide a response strategy for the development of nursing and make suggestions for promoting the nursing discipline, platform, and talent teams based on current best available evidence.MethodsWe searched CNKI(China National Knowledge Infrastructure), VIP information(Chinese Scientific Journals database),
Yingqiang, Wang, Shiyou, Wei, Youping, Li, Shaolin, Deng, Qianqian, Luo, Yan, Li   +5 more
openaire   +2 more sources

Impact of frozen temperature and thawing methods on the Brazilian sensory profile of Nellore beef

Scientia Agricola, 2020
: We evaluated the effect of frozen storage temperature and thawing methods on acceptance and sensory profile of steaks of Nellore beef strip loin under 30 days of frozen storage.
Carolina Lugnani Gomes, Thaís Jordânia Silva, Sérgio Bertelli Pflanzer, Helena Maria Andre Bolini   +3 more
doaj   +1 more source

Quantitative Structural Description of Zeolites by Machine Learning Analysis of Infrared Spectra

Inorganic Chemistry, 2023
Application of machine learning (ML) algorithms to spectroscopic data has a great potential for obtaining hidden correlations between structural information and spectral features. Here, we apply ML algorithms to theoretically simulated infrared (IR) spectra to establish the structure-spectrum correlations in zeolites. Two hundred thirty different types
Alina A. Skorynina, Bogdan O. Protsenko, Oleg A. Usoltsev, Sergey A. Guda, Aram L. Bugaev   +4 more
openaire   +2 more sources

Analysis of the Influence of Spices on the Yu-Shiang Sauce Flavors Based on E-nose and GC-IMS Technology

Shipin gongye ke-ji
To identify the effects of spices on the flavor formation of Yu-Shiang sauce, this study conducted a previously unexplored experiment examining the impacts of ginger, scallions, garlic, and pickled chili on flavor, quantitative descriptive analysis (QDA),
Hao ZHANG, Tianlong GAO, Yuwen YI, Xuemei CAI, Jing DENG, Yingming TANG, Siyuan GU, Mingfeng QIAO   +7 more
doaj   +1 more source