Antioxidant Evaluation and Composition Analysis of Extracts from Fuzhuan Brick Tea and Its Comparison with Two Instant Tea Products

2017 ◽  
Vol 100 (3) ◽  
pp. 653-660 ◽  
Author(s):  
Qing-An Zhang ◽  
Xiao-Li Zhang ◽  
Yan-Ying Yan ◽  
Xue-Hui Fan
Keyword(s):  
Principal Component Analysis ◽  
Antioxidant Activity ◽  
Antioxidant Capacity ◽  
Hplc Analysis ◽  
Epigallocatechin Gallate ◽  
Principal Component ◽  
Composition Analysis ◽  
Antioxidant Evaluation ◽  
High Level

Abstract In this paper, the antioxidant capacities and compositions of two commercialized tea products and extracts from Fuzhuan brick tea (FBT) were investigated using three HPLC methods comparing the retention times of injected standards. Principal component analysis and DPPH-spiking HPLC analysis were used to analyze correlation between antioxidant capacity and the compounds detected to screen which compounds contribute to antioxidant activity. Results indicated that all samples contained high amounts of polysaccharides, phenols, and flavonoids and had good antioxidant activity and a high level of correlation among them. Furthermore, gallic acid, epigallocatechin, epicatechin, and epigallocatechin gallate were screened and found to be stronger antioxidant candidates. In summary, the quality of the FBT extracts was not inferior to that of commercialized tea products, suggesting the feasibility that extracts may directly act as instant tea products.

scholarly journals Phytochemical and Antioxidant Studies on a Rare Rheum cordatum Losinsk. Species from Kazakhstan

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Gulsim Zhumashova ◽  
Wirginia Kukula-Koch ◽  
Wojciech Koch ◽  
Tomasz Baj ◽  
Galiya Sayakova ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Phenolic Compounds ◽  
Antioxidant Capacity ◽  
Radical Scavenging ◽  
Epigallocatechin Gallate ◽  
Principal Component ◽  
Epicatechin Gallate ◽  
Chemical Content ◽  
Time Of Collection ◽  
Tof Ms

An optimisation of extraction towards an increased antioxidant capacity and the study on the extracts’ composition by HPLC-ESI-Q-TOF-MS were performed on different organs of a rarely studied plant: Rheum cordatum Losinsk (Polygonaceae) growing in Kazakhstan. More than 20 compounds from anthraquinones and phenolics were identified in an optimised method. The plant was proven to contain a wide variety of phenolic compounds (catechins, flavonoids, and their glucosides and phenolic acids) in contrast to the anthraquinone composition, which was mainly represented by emodin and its analogues. The results of the studies could determine the plant as a rich source of pharmacologically precious polyphenols. It was evidenced that the extracting solvents, the time of collection, and the organs tested affected both the chemical content and the antioxidant potential of the extracts. Ethanol : water (50 : 50 v/v) was selected as the most beneficial extractant for all metabolites, and based on the principal component analysis of raw data, the radical scavenging potential of the plant was strictly related to the presence of epicatechin gallate (ECG), kaempferol glucoside, and epigallocatechin gallate (EGCG) occurring in this extract at the concentration of 1.69-5%, 0.16-0.47%, and 0.001-2.93%, respectively.

scholarly journals Moroccan residents’ perceptions of the hospital learning environment measured with the French version of the Postgraduate Hospital Educational Environment Measure

2020 ◽  
Vol 17 ◽  
pp. 4
Author(s):  
Hajar Berrani ◽  
Redouane Abouqal ◽  
Amal Thimou Izgua
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Educational Environment ◽  
Internal Reliability ◽  
French Version ◽  
The Mean ◽  
High Level ◽  
Poor Infrastructure

Purpose: This study aimed to assess the educational environment of residents in Morocco and to compare residents’ perceptions depending on their specialty.Methods: We applied the French version of the Postgraduate Hospital Educational Environment Measure (PHEEM) to measure the educational environment at 6 hospitals in Rabat from January to June 2017. The internal reliability of the questionnaire was assessed using Cronbach’s α coefficient. Principal component analysis was conducted to assess the construct validity of the 3 subscales of the PHEEM questionnaire. Analysis of variance was performed to compare the mean scores of the overall PHEEM, its subscales, and each item among the 6 specialties.Results: Responses from 255 residents were included. The 40-item PHEEM questionnaire showed a high level of reliability, with a Cronbach’s α of 0.91. Principal component analysis of all 40 items suggested that 3 factors explained 48% of the variance, with better results for the teaching subscale. Moroccan residents perceived their educational environment as more positive than negative. There were significant differences in the overall and subscale scores among the 6 specialties.Conclusion: The French version of the PHEEM was confirmed to be a valid and reliable instrument in Morocco. Moroccan residents perceived their educational environment as more positive than negative, but room for improvement remained, with challenges including the poor infrastructure, the suboptimal quality of supervision, and inadequate teaching and work regulations.

scholarly journals Relationships Between the Content of Phenolic Compounds and the Antioxidant Activity of Polish Honey Varieties as a Tool for Botanical Discrimination

Molecules ◽  
2021 ◽  
Vol 26 (6) ◽  
pp. 1810
Author(s):  
Monika Kędzierska-Matysek ◽  
Małgorzata Stryjecka ◽  
Anna Teter ◽  
Piotr Skałecki ◽  
Piotr Domaradzki ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Antioxidant Activity ◽  
Phenolic Compounds ◽  
Caffeic Acid ◽  
Principal Component ◽  
Total Content ◽  
Component Analysis ◽  
Total Phenolic ◽  
Hydroxybenzoic Acid ◽  
Coumaric Acid

The study compared the content of eight phenolic acids and four flavonoids and the antioxidant activity of six Polish varietal honeys. An attempt was also made to determine the correlations between the antioxidant parameters of the honeys and their polyphenol profile using principal component analysis. Total phenolic content (TPC), total flavonoid content (TFC), antioxidant activity (ABTS) and reduction capacity (FRAP) were determined spectrophotometrically, and the phenolic compounds were determined using high-performance liquid chromatography (HPLC). The buckwheat honeys showed the strongest antioxidant activity, most likely because they had the highest concentrations of total phenols, total flavonoids, p-hydroxybenzoic acid, caffeic acid, p-coumaric acid, vanillic acid and chrysin. The principal component analysis (PCA) of the data showed significant relationships between the botanic origin of the honey, the total content of phenolic compounds and flavonoids and the antioxidant activity of the six Polish varietal honeys. The strongest, significant correlations were shown for parameters of antioxidant activity and TPC, TFC, p-hydroxybenzoic acid, caffeic acid and p-coumaric acid. Analysis of four principal components (explaining 86.9% of the total variance), as a classification tool, confirmed the distinctiveness of the Polish honeys in terms of their antioxidant activity and content of phenolic compounds.

scholarly journals Ripening Changes of the Chemical Composition, Proteolysis, and Lipolysis of a Hair Sheep Milk Mexican Manchego-Style Cheese: Effect of Nano-Emulsified Curcumin

Foods ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1579
Author(s):  
Mariam Sardiñas-Valdés ◽  
Hugo Sergio García-Galindo ◽  
Alfonso Juventino Chay-Canul ◽  
José Rodolfo Velázquez-Martínez ◽  
Josafat Alberto Hernández-Becerra ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Antioxidant Activity ◽  
Chemical Composition ◽  
Phenolic Content ◽  
Principal Component ◽  
Total Phenolic ◽  
Hair Sheep ◽  
Dairy Foods ◽  
Ripening Time ◽  
Sheep Milk

The influence of nano-emulsified curcumin (NEC) added to the hair sheep milk, prior to cheese-making, on the chemical composition, lipolysis, and proteolysis of manchego-style cheeses were evaluated throughout 80 days of ripening. The addition of NEC to the milk resulted in cheeses with the same moisture content (42.23%), total protein (23.16%), and water activity (0.969) (p > 0.05). However, it increased the fat and ash levels from 26.82% and 3.64% in B 10 ppm to 30.08% and 3.85% in C 10 ppm, respectively, at the end of the ripening (p < 0.05). The total phenolic content and antioxidant activity of experimental cheeses increased during ripening, and the fatty acid groups showed significant changes occurred to a greater extent in the first days of ripening (p < 0.05). The lipolysis increased consistently in all cheeses until day 40 of ripening, to decrease at the end, while proteolysis increased during all ripening time in all samples (p < 0.05); the addition of NEC did not alter the primary proteolysis of manchego-style cheeses, but it modified secondary proteolysis and lipolysis (p < 0.05). Principal component analysis was useful for discriminating cheeses according to their chemical composition and classified into four groups according to their ripening time. This research highlights the potential of CNE to fortify dairy foods to enhance their functionality.

scholarly journals A Principal Component Analysis of Acoustic Emission Signals from a Landing Gear Component

2008 ◽  
Vol 13-14 ◽  
pp. 41-47 ◽  
Author(s):  
Rhys Pullin ◽  
Mark J. Eaton ◽  
James J. Hensman ◽  
Karen M. Holford ◽  
Keith Worden ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Acoustic Emission ◽  
Background Noise ◽  
Principal Component ◽  
Component Analysis ◽  
Landing Gear ◽  
Fracture Detection ◽  
Artificial Fracture ◽  
High Level ◽  
Ae Signals

This work forms part of a larger investigation into fracture detection using acoustic emission (AE) during landing gear airworthiness testing. It focuses on the use of principal component analysis (PCA) to differentiate between fracture signals and high levels of background noise. An artificial acoustic emission (AE) fracture source was developed and additionally five sources were used to generate differing AE signals. Signals were recorded from all six artificial sources in a real landing gear component subject to no load. Further to this, artificial fracture signals were recorded in the same component under airworthiness test load conditions. Principal component analysis (PCA) was used to automatically differentiate between AE signals from different source types. Furthermore, successful separation of artificial fracture signals from a very high level of background noise was achieved. The presence of a load was observed to affect the ultrasonic propagation of AE signals.

scholarly journals Validation of the Arabic version of the “12-item short-form health survey” (SF-12) in a sample of Lebanese adults

2021 ◽  
Vol 79 (1) ◽  
Author(s):  
Chadia Haddad ◽  
Hala Sacre ◽  
Sahar Obeid ◽  
Pascale Salameh ◽  
Souheil Hallit
Keyword(s):  
Quality Of Life ◽  
Principal Component Analysis ◽  
Psychometric Properties ◽  
Short Form ◽  
Principal Component ◽  
Arabic Version ◽  
Short Form Health Survey ◽  
Form Health ◽  
Short Form Health

Abstract Background In clinical practice, quality of life measures can be used alongside some types of assessment to give valuable information that can identify areas that influence an individual and help the clinician make the best healthcare choices. This study aimed to investigate the psychometric properties of the Arabic version of the 12-item short-form health survey (SF-12) in a sample of Lebanese adults. Methods This cross-sectional study performed between July and November 2019 recruited 269 participants. Cronbach’s alpha was used to assess the reliability of the SF-12 questionnaire, and a factor analysis using the principal component analysis was performed to confirm its construct validity. Results The mean score for the “physical component summary (PCS-12)” was 50.27 ± 8.94 (95 % CI: 49.18–51.36) and for the “Mental component summary (MCS-12)” was 44.95 ± 12.17 (95 % CI: 43.47–46.43). A satisfactory Cronbach’s alpha was found for the two components: MCS (α = 0.707) and PCS (α = 0.743). The principal component analysis converged over a two-factor solution (physical and mental), explaining a total variance of 55.75 %. Correlations between the SF-12 scales and single items were significant, showing a good construct validity. The “physical functioning”, “role physical”, “bodily pain”, and “general health” subscales were highly associated with “PCS-12”, while the “vitality”, “social functioning”, “role emotional”, and “mental health” subscales were more associated with MCS-12. Conclusions The Arabic version of the SF-12 is a reliable, easy-to-use, and valid tool to measure health-related quality of life in the general population. Future studies using a larger sample size and focusing on questionnaire psychometric properties are necessary to confirm our findings.

Availability and Spatial Inequality of Rural Infrastructure in Jungle Mahal Blocks of Purulia District, India

2021 ◽  
pp. 232102492110082
Author(s):  
Uttam Kumar Patra ◽  
Suman Paul
Keyword(s):  
Quality Of Life ◽  
Principal Component Analysis ◽  
Regional Development ◽  
Principal Component ◽  
Spatial Inequality ◽  
Rural Infrastructure ◽  
Financial Infrastructure ◽  
Purulia District ◽  
Dimension Index

Rural infrastructure is fundamental and central to the concept of quality of life as well as human development. The major characteristic of regional development is the constant widening of regional disparity in India after different plan period. Various Finance Commissions and Planning Commissions laid emphasis on the objective of achieving balanced regional development. The article identifies a gap in terms of education, health, communication and financial infrastructure in the study of panchayats of Jungle Mahal blocks. Mapping of regional disparities can aid in effective policymaking at the preliminary stage of planning. Panchayat level inequality has been analysing using dimension index and principal component analysis (PCA). Wide disparities in the availability of rural infrastructure have been pointed out and proper recommendation has also been made to minimise the gap in spatial inequality.

scholarly journals Color and Antioxidant Capacity Preservation of Opuntia spp. Juices by Spray-drying Microencapsulation.

2018 ◽  
Vol 7 (3) ◽  
pp. 16 ◽  
Author(s):  
Alberto Castañeda-Yañez ◽  
Sandra T. Martín-del-Campo ◽  
Alejandra San-Martin ◽  
Anaberta Cardador-Martínez
Keyword(s):  
Principal Component Analysis ◽  
Protective Effect ◽  
Antioxidant Capacity ◽  
Spray Drying ◽  
Principal Component ◽  
Natural Colorants ◽  
The Matrix ◽  
Pear Juice ◽  
Antioxidant Characteristics ◽  
Opuntia Spp

In this work, it was evaluated the effect of microencapsulation using spray drying over natural colorants present in two varieties (red and purple) of prickly pear juice (Opuntia spp.), using three kinds of carrier agents (matrixes). The dried samples after microencapsulation retained a high total amount of the betalains and their antioxidant characteristics. However, some individual betalains were lost after microencapsulation. According to ANOVA results, matrix 3204 showed a more protective effect than matrix 4801 in both microencapsulated juices over color, individual betalains, and antioxidant capacity. Globally, the protective effect was better for purple juices than red juices no matter the matrix used. Principal Component Analysis (PCA) confirmed these results. Matrix 3204 resulted in the best carrier agent since it gave a less disperse PCA group for both color juices. The parameters that separated both PCA matrixes groups were L*, a*, b* and DPPH. 

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