Volatile profiling of fruits of 17 mango cultivars by HS-SPME-GC/MS combined with principal component analysis

2021 ◽  
Author(s):  
Kosuke Shimizu ◽  
Tetsuya Matsukawa ◽  
Risa Kanematsu ◽  
Kimihisa Itoh ◽  
Shinya Kanzaki ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Principal Component ◽  
Component Analysis ◽  
Volatile Components ◽  
Seed Parent ◽  
Aromatic Components ◽  
The Relationship ◽  
Aroma Components

Abstract Headspace solid-phase microextraction combined with GC/MS (HS-SPME-GC/MS) is one of the strongest tools for comprehensive analysis of volatile compounds and has been used to analyze aromatic components of mango and investigate its varietal characteristics. In this study, profiling of aroma compounds in 17 mango cultivars, grown in the same green house to exclude the effect of environmental factors, was conducted and the patterns were subjected to principal component analysis (PCA) to identify the relationship between the aroma components and cultivars. Fifty-nine different volatile constituents were detected from the blends of these 17 mango cultivars. The cultivars were divided into four clusters using PCA based on the volatile components determined in the study. Aiko was found to mainly contain δ-3-carene and showed a composition more similar to its pollen parent, Irwin, than to its seed parent, Chiin Hwang No. 1.

scholarly journals Bước đầu xác định thành phần bay hơi thu nhận từ một số sản phẩm chè ô long và sư bộ đánh giá thị hiếu người tiêu dung đối với các sản phẩm nghiên cứu

2018 ◽  
Vol 1 (2) ◽  
pp. 29-33
Author(s):  
Tố Quỳnh Cung Thị ◽  
Thanh Hải Phan Thị ◽  
◽  
Keyword(s):  
Principal Component Analysis ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Principal Component ◽  
Component Analysis ◽  
Linalool Oxide

Nghiên cứu tiến hành trên sáu sản phẩm chè ô long trên thị trường xuất xứ từ 4 vùng địa lý khác nhau. Các hợp chất bay hơi được thu nhận và phân tích bằng phương pháp vi chiết pha rắn (Solid Phase Microextraction - SPME) kết hợp GC – MS. Kết quả cho thấy thành phần chất bay hơi chiếm hàm lượng lớn trong cả 6 sản phẩm này là (Z)-linalool oxide (5,44-17,95%), (E)-linalool oxide (4,86-12,13%), linalool (1,23-8,26%)… Sáu mẫu nghiên cứu có thể được phân thành 3 nhóm dựa trên các thành phần bay hơi chính bằng phương pháp phân tích thành phần chính PCA (Principal Component Analysis). Đánh giá thị hiếu của người tiêu dùng (n=84) chỉ ra rằng có sự khác biệt về mức độ ưa thích mùi giữa các sản phẩm.

scholarly journals Effect of Skin Maceration Treatment on Aroma Profiles of Kiwi Wines Elaborated with Actinidia deliciosa “Xuxiang” and A. chinensis “Hort16A”

2019 ◽  
Vol 102 (2) ◽  
pp. 683-685
Author(s):  
Qi Yiman ◽  
Liu Miaomiao ◽  
Yang Kun ◽  
Fan Mingtao
Keyword(s):  
Principal Component Analysis ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Principal Component ◽  
Wine Industry ◽  
Actinidia Deliciosa ◽  
Odor Threshold ◽  
Kiwi Fruit ◽  
Aroma Components ◽  
Positive Effect

Abstract Background: Kiwi has become an important and promising fruit to ferment kiwi wine in recent years in China. Objective: The objective of this study was to evaluate the effect of skin maceration treatment on aroma profiles of kiwi wine elaborated with two representative kiwi varieties (Actinidia deliciosa “Xuxiang” and A. chinensis“Hort16A”). Methods: Aroma profiles were characterized using solid-phase microextraction GC-MS method. Principal component analysis was used to separate and group the wines as well as for identifying the aroma components that best differentiate the wines. Results: Esters and alcohols were the two most abundant compounds in kiwi wine. Skin macerationtreatment gave rise to a positive effectof aroma profiles, resulting in a significant increase of terpenes. A total of 11 volatile compounds were found at concentrations higher than their odor threshold in kiwi wine samples. Conclusions:The study could play a role in laying a foundation for the development of the kiwi fruit wine industry. Highlights: Different aroma profiles were presented because of variety differences.Skin maceration treatment gave rise to a positive effect of aroma profiles, which resulted in a significant increase of terpenes.

scholarly journals Quantify Coal Macrolithotypes of a Whole Coal Seam: A Method Combing Multiple Geophysical Logging and Principal Component Analysis

Energies ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 213
Author(s):  
Chao Cui ◽  
Suoliang Chang ◽  
Yanbin Yao ◽  
Lutong Cao
Keyword(s):  
Principal Component Analysis ◽  
Coal Seam ◽  
Coalbed Methane ◽  
Principal Component ◽  
Component Analysis ◽  
Gas Production ◽  
Index Model ◽  
Geophysical Logging ◽  
The Relationship ◽  
Observation Results

Coal macrolithotypes control the reservoir heterogeneity, which plays a significant role in the exploration and development of coalbed methane. Traditional methods for coal macrolithotype evaluation often rely on core observation, but these techniques are non-economical and insufficient. The geophysical logging data are easily available for coalbed methane exploration; thus, it is necessary to find a relationship between core observation results and wireline logging data, and then to provide a new method to quantify coal macrolithotypes of a whole coal seam. In this study, we propose a L-Index model by combing the multiple geophysical logging data with principal component analysis, and we use the L-Index model to quantitatively evaluate the vertical and regional distributions of the macrolithotypes of No. 3 coal seam in Zhengzhuang field, southern Qinshui basin. Moreover, we also proposed a S-Index model to quantitatively evaluate the general brightness of a whole coal seam: the increase of the S-Index from 1 to 3.7, indicates decreasing brightness, i.e., from bright coal to dull coal. Finally, we discussed the relationship between S-Index and the hydro-fracturing effect. It was found that the coal seam with low S-Index values can easily form long extending fractures during hydraulic fracturing. Therefore, the lower S-Index values indicate much more favorable gas production potential in the Zhengzhuang field. This study provides a new methodology to evaluate coal macrolithotypes by using geophysical logging data.

scholarly journals Air Pollution and Human Development in Europe: A New Index Using Principal Component Analysis

2018 ◽  
Vol 10 (2) ◽  
pp. 312 ◽  
Author(s):  
Ana-Maria Săndică ◽  
Monica Dudian ◽  
Aurelia Ştefănescu
Keyword(s):  
Principal Component Analysis ◽  
Human Development ◽  
Quantitative Measure ◽  
Principal Component ◽  
Component Analysis ◽  
Life Expectancy At Birth ◽  
Real Gdp ◽  
Development Indicator ◽  
The Relationship ◽  
Pm2.5 Concentration

EU countries to measure human development incorporating the ambient PM2.5 concentration effect. Using a principal component analysis, we extract the information for 2010 and 2015 using the Real GDP/capita, the life expectancy at birth, tertiary educational attainment, ambient PM2.5 concentration, and the death rate due to exposure to ambient PM2.5 concentration for 29 European countries. This paper has two main results: it gives an overview about the relationship between human development and ambient PM2.5 concentration, and second, it provides a new quantitative measure, PHDI, which reshapes the concept of human development and the exposure to ambient PM2.5 concentration. Using rating classes, we defined thresholds for both HDI and PHDI values to group the countries in four categories. When comparing the migration matrix from 2010 to 2015 for HDI values, some countries improved the development indicator (Romania, Poland, Malta, Estonia, Cyprus), while no downgrades were observed. When comparing the transition matrix using the newly developed indicator, PHDI, the upgrades observed were for Denmark and Estonia, while some countries like Spain and Italy moved to a lower rating class due to ambient PM2.5 concentration.

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