Research on Hydrochemistrical Characteristics of Shallow Groundwater from Huainan City

2013 ◽  
Vol 726-731 ◽  
pp. 1367-1372 ◽  
Author(s):  
Xiao Wen He ◽  
Guang Quan Xu ◽  
Wei Ning Wang
Keyword(s):  
Heavy Metals ◽  
Principal Component Analysis ◽  
Shallow Groundwater ◽  
Principal Component ◽  
Component Analysis ◽  
Statistical Characteristics ◽  
Groundwater Samples ◽  
Different Types ◽  
Main Components

Based on previous studies, 130 shallow groundwater samples are collected from Huainan city according to some rules, and 21 indexes of the groundwater samples are tested by different instruments. Moreover, the important works have been done, including statistical characteristics of groundwater components, and divided different types of hydrochemistry, analyses of the relationships between the hardness and Ca2+/Na+, Mg2+/Na+, TDS and the ES. The correlation between heavy metals and conventional components has been discussed. Finally, main components have influence on the quality of shallow groundwater by the method of principal component analysis.

scholarly journals Pemetaan Pengaruh Proses Pengolahan pada Kualitas Biji Kakao Menggunakan Metode Metabolik Profiling dengan GC/MS

REAKTOR ◽  
2017 ◽  
Vol 17 (3) ◽  
pp. 132
Author(s):  
Hana Nur Fitriana ◽  
Ronny Purwadi ◽  
Made Tri Ari Penia Kresnowati
Keyword(s):  
Principal Component Analysis ◽  
Metabolic Profiling ◽  
Principal Component ◽  
Component Analysis ◽  
Cocoa Bean ◽  
Cocoa Beans ◽  
Post Harvest ◽  
Cocoa Products ◽  
Different Types

Abstract MAPPING THE EFFECTS OF COCOA POST HARVEST PROCESSING ON COCOA BEAN QUALITY BY METABOLIC PROFILING METHOD USING GC/MS. The quality of cocoa is strongly effected by the implemented post harvest processes. The fermented cocoa beans is presumed to have higher quality than the unfermented ones, whereas roasting strongly affects the organoleptic quality of the cocoa products. However, what exactly differentiates those cocoa beans are not known yet. This research was foccused on the mapping of post harvest processing method on the quality of cocoa beans, using metabolic profiling method. Different types of cocoa bean samples, that were fermented, roasted, fermented and roasted, as well as unfermented and unroasted (as control) were analysed by GC-MS. The obtained metabolic profiles were further mapped using Principal Component Analysis (PCA). The results showed that there were significant different on samples processed through different processing methods. The fermentation and roasting of cocoa beans direct the process such that more homogenous metabolic composition were obtained. Kata kunci: cocoa beans; fermentation; metabolomic; PCA; processing; roasting  Abstract Proses pengolahan biji kakao sangat menentukan kualitas kakao yang dihasilkan. Biji kakao terfermentasi diyakini memiliki kualitas yang lebih tinggi dibandingkan biji kakao tanpa fermentasi. Proses penyangraian juga diyakini sangat menentukan kualitas organoleptik produk olahan kakao. Akan tetapi, para pelaku bisnis kakao masih belum mengetahui secara pasti apa yang membedakan hal tersebut. Penelitian ini berfokus pada pemetaan pengaruh proses pengolahan pada kualitas biji kakao, menggunakan metode metabolik profiling. Sampel biji kakao dengan berbagai proses pengolahan: difermentasi, disangrai, difermentasi dan disangrai, serta kontrol (tidak difermentasi dan tidak disangrai) dianalisa dengan GC/MS untuk memetakan komposisi metabolitnya. Spektrum metabolit yang diperoleh kemudian dipetakan menggunakan metode Principal Component Analysis (PCA). Hasil yang diperoleh menunjukkan terdapat perbedaan yang signifikan antara sampel dengan berbagai proses pengolahan tersebut, pengolahan biji kakao yang terdiri dari fermentasi dan penyangraian mengakibatkan komposisi biji kakao yang lebih seragam. Keywords: biji kakao; fermentasi; metabolomik; PCA; pemrosesan; penyangraian

scholarly journals Assessment of heavy metals in soils of a vineyard region with the use of principal component analysis

2009 ◽  
Vol 66 (3) ◽  
pp. 361-367 ◽  
Author(s):  
Gustavo Souza Valladares ◽  
Otávio Antônio de Camargo ◽  
José Ruy Porto de Carvalho ◽  
Alessandra Maria Cia Silva
Keyword(s):  
Heavy Metals ◽  
Principal Component Analysis ◽  
Agricultural Soils ◽  
Principal Component ◽  
Component Analysis ◽  
Soil Samples ◽  
Metal Concentrations ◽  
Zn Content ◽  
Heavy Metals In Soils ◽  
Cu And Zn

Agricultural management with chemicals may contaminate the soil with heavy metals. The objective of this study was to apply Principal Component Analysis and geoprocessing techniques to identify the origin of the metals Cu, Fe, Mn, Zn, Ni, Pb, Cr and Cd as potential contaminants of agricultural soils. The study was developed in an area of vineyard cultivation in the State of São Paulo, Brazil. Soil samples were collected and GPS located under different uses and coverings. The metal concentrations in the soils were determined using the DTPA method. The Cu and Zn content was considered high in most of the samples, and was larger in the areas cultivated with vineyards that had been under the application of fungicides for several decades. The concentrations of Cu and Zn were correlated. The geoprocessing techniques and the Principal Component Analysis confirmed the enrichment of the soil with Cu and Zn because of the use and management of the vineyards with chemicals in the preceding decades.

scholarly journals Discrimination of Natural Mature Acacia Honey Based on Multi-Physicochemical Parameters Combined with Chemometric Analysis

Molecules ◽  
2019 ◽  
Vol 24 (14) ◽  
pp. 2674 ◽  
Author(s):  
Tianchen Ma ◽  
Haoan Zhao ◽  
Caiyun Liu ◽  
Min Zhu ◽  
Hui Gao ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Physicochemical Parameters ◽  
Phenolic Content ◽  
Principal Component ◽  
Component Analysis ◽  
Chemometric Analysis ◽  
Total Phenolic ◽  
Total Protein Content ◽  
Acacia Honey

Honey maturity is an important factor in evaluating the quality of honey. We established a method for the identification of natural mature acacia honey with eighteen physicochemical parameters combined with chemometric analysis. The analysis of variance showed significant differences between mature and immature acacia honey in physicochemical parameters. The principal component analysis explained 82.64% of the variance among samples, and indicated that total phenolic content, total protein content, and total sugar (glucose, fructose, sucrose) were the major variables. The cluster analysis and orthogonal partial least squares-discriminant analysis demonstrated that samples were grouped in relation to the maturity coinciding with the results of the principal component analysis. Meanwhile, the 35 test samples were classified with 100% accuracy with the method of multi-physicochemical parameters combined with chemometric analysis. All the results presented above proved the possibility of identifying mature acacia honey and immature acacia honey according to the chemometric analysis based on the multi-physicochemical parameters.

Tactile evaluation of down jacket fabric by the comprehensive handle evaluation system for fabrics and yarns

2020 ◽  
pp. 004051752097720
Author(s):  
Yuan Tian ◽  
Yi Sun ◽  
Zhaoqun Du ◽  
Dongming Zheng ◽  
Haochen Zou ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Principal Component Analysis ◽  
Evaluation System ◽  
Principal Component ◽  
Objective Evaluation ◽  
Component Analysis ◽  
Quality Level ◽  
Fabric Handle ◽  
Good Agreement

Down jacket fabric is greatly important in determining the quality of a down jacket. In order to enrich the research on fabric handle, subjective and objective evaluations were made for down jacket fabrics that were less studied. The comprehensive handle evaluation system for fabrics and yarns (CHES-FY) can be used to evaluate the tactile handle of the fabric by accurately and efficiently measuring the basic mechanical properties of the fabric. Therefore, the CHES-FY was used to link the objective evaluation with the subjective handle, so as to effectively estimate the total handle value of the down jacket fabric. Fifty-two kinds of down jacket fabrics were objectively tested through measuring 17 extracted parameters, and principal component analysis was adopted to establish the five main handle characteristics of fullness, softness, stiffness, smoothness, looseness and tightness to characterize basic style of the down jacket fabrics. The results showed that the subjective and objective results were in good agreement. These characteristics can be used as indicators to characterize fabric performance, and the principal component expression to characterize fabric handle can better predict the handle characteristics of down jacket fabrics. This also proves that the CHES-FY can quickly and accurately obtain the fabric handle value, and can also evaluate the fabric quality level.

The Establishment of Principal Component Analysis Assessment Model for Drinking Water Quality of City Resource

2014 ◽  
Vol 675-677 ◽  
pp. 960-963
Author(s):  
Li Feng Sun ◽  
Qing Jie Qi ◽  
Xiao Liang Zhao ◽  
Rui Feng Li
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Drinking Water ◽  
Water Resources ◽  
Principal Component ◽  
Water Source ◽  
Component Analysis ◽  
Assessment Model ◽  
Affecting Factors

In order to effectively control pollution of sources of drinking water, improve the environmental quality of drinking water and guarantee the sanitation of drinking water, it is very important to assess water source quality. Main factors of drinking water were identified. Then principal component analysis was used to establish assessment model of drinking water, which could ensure that under the condition that the primitive data information was in the smallest loss, a small number of variables were used to replace the integrated multi-dimensional variables to simplify the data structure. The weightings of principal component were determinated as theirs pollution ratios. This paper was based on the theoretical study of principal component analysis, used the monitoring data on water quality of the main water resources in 2013 to evaluate and analyze the water quality of water resources. Analysis content included the main affecting factors, cause of pollution and the degree of pollution.The resulted showed that: the main affecting factors on water quality of Fo Si water source was CODMn, TP, fluoride.

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