scholarly journals Study of the Hazard of Endogenous Fires in Coal Mines—A Chemometric Approach

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3047 ◽  
Author(s):  
Karolina Wojtacha-Rychter ◽  
Adam Smoliński
Keyword(s):  
Clustering Analysis ◽  
Fire Hazard ◽  
Coal Mines ◽  
Principal Component ◽  
Hierarchical Clustering Analysis ◽  
Chemometric Methods ◽  
Underground Coal Mines ◽  
Endogenous Fire ◽  
Chemometric Approach ◽  
One Year

The most commonly used practice to assess fire hazard development in underground coal mines is based on the measurement of the concentration of selected gases in the mine’s air. The main goal of this study was present a strategy to monitor the gaseous atmosphere in the mine in order to identify the onset of an endogenous fire in the coal seam. For that purpose, the principal component analysis (PCA) and the hierarchical clustering analysis (HCA) were applied. The monitoring covers the measurements of concentration of CO, CO2, H2, O2, N2, and selected hydrocarbons, respectively throughout the whole of one year. The chemometric methods applied allow for effective exploration of the similarities between the studied samples collected both under fire hazard conditions and under safe conditions. Based on the constructed models, the groups of objects characterized with the highest content of ethylene, acetylene, propylene, and carbon monoxide were identified. These samples indicate the endogenic fire in coal mine.

scholarly journals Chemometric approach to evaluate heavy metals’ content in Daucus Carota from different localities in Serbia

2015 ◽  
Vol 69 (6) ◽  
pp. 643-650 ◽  
Author(s):  
Violeta Mitic ◽  
Vesna Stankov-Jovanovic ◽  
Snezana Tosic ◽  
Aleksandra Pavlovic ◽  
Jelena Cvetkovic ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Principal Components ◽  
Daucus Carota ◽  
Metal Content ◽  
Heavy Metal Contamination ◽  
Principal Component ◽  
Heavy Metal Content ◽  
Chemometric Methods ◽  
Chemometric Approach ◽  
Components Analysis

The aim of this study was to evaluate heavy metal content in carrots (Daucus carota) from the different localities in Serbia and assess by the cluster analysis (CA) and principal components analysis (PCA) the heavy metal contamination of carrots from these areas. Carrot was collected at 13 locations in five districts. Chemometric methods (CA and PCA) were applied to classify localities according to heavy metal content in carrots. CA separated localities into two statistical significant clusters. PCA permitted the reduction of 12 variables to four principal components explaining 79.94% of the total variance. The first most important principal component was strongly associated with the value of Cu, Sb, Pb and Tl. This study revealed that CA and PCA appear useful tools for differentiation of localities in different districts using the profile of heavy metal in carrot samples.

Selection of dairy Leuconostoc isolates for important technological properties

1999 ◽  
Vol 66 (2) ◽  
pp. 245-256 ◽  
Author(s):  
CLAIRE SERVER-BUSSON ◽  
CATHERINE FOUCAUD ◽  
JEAN-YVES LEVEAU
Keyword(s):  
Clustering Analysis ◽  
Principal Component ◽  
Hierarchical Clustering Analysis ◽  
Technological Properties ◽  
Carbohydrate Fermentation ◽  
Leuconostoc Lactis ◽  
Proteolytic Capacity ◽  
Reference Strains ◽  
Selection Of ◽  
Mrs Broth

Twenty-four dairy Leuconostoc strains isolated from French commercial starters and four reference strains were screened for 58 morphological and biochemical characters. Hierarchical clustering analysis was performed on the results of dextran production and carbohydrate fermentation tests. Most strains fitted into three clusters at a similarity level of 65% and were identified as belonging to the species lactis or mesenteroides. Fourteen strains were then selected and further characterized for their technological properties. They were examined for growth, acidification kinetics and proteolytic capacity when growing in milk, and peptidase activities and diacetyl production after growth in MRS broth. Principal component analysis was carried out to group strains and compare their technological properties. This allowed selection of strains of dairy interest. Special attention was given to the flavouring capacity of Leuconostoc lactis isolates that could be useful in designing commercial starters.

scholarly journals Seasonal variation in the phenol content of Eugenia uniflora L. leaves

2011 ◽  
Vol 13 (1) ◽  
pp. 85-89
Author(s):  
R.M Santos ◽  
M.S Oliveira ◽  
P.H Ferri ◽  
S.C Santos
Keyword(s):  
Principal Component ◽  
Climatic Changes ◽  
Total Phenols ◽  
Chemometric Methods ◽  
Phenol Content ◽  
Climate Conditions ◽  
Factors Affecting ◽  
Eugenia Uniflora ◽  
Hydrolysable Tannins ◽  
One Year

Hydrolysable tannins, total phenols and flavonoids in Eugenia uniflora leaves were monthly analysed for one year. The results were correlated with climate conditions (rainfall, humidity, cloudiness and mean temperature) through chemometric methods. Principal component analysis revealed high levels of hydrolysable tannins in the rainy season, whereas flavonoids were mainly produced in the dry season. These facts suggest that climatic changes may be one of the factors affecting phenol levels in Eugenia uniflora.

scholarly journals Examination of distribution of trace elements in hair, fingernails and toenails as alternative biological materials. Application of chemometric methods

2012 ◽  
Vol 10 (5) ◽  
pp. 1590-1599 ◽  
Author(s):  
Agnieszka Przybylowicz ◽  
Paulina Chesy ◽  
Malgorzata Herman ◽  
Andrzej Parczewski ◽  
Stanislaw Walas ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Trace Elements ◽  
Principal Component ◽  
Biological Materials ◽  
Chemometric Methods ◽  
Icp Ms ◽  
Chemometric Approach ◽  
Distribution Of Trace Elements

AbstractThe aim of this study was to find correlations between several studied elements and analyzed materials as well as the application and validation of an analytical method to determine trace elements in hair, fingernails and toenails of healthy volunteers (normal concentration). The method developed covers washing, mineralization and ICP-MS determination of 10 elements (Ca, Cd, Co, Cr, Cu, Fe, Mg, Ni, Pb and Zn) in hair and nails. Concentrations of the selected elements in hair, fingernails and toenails were measured for 24 women and 18 men. Furthermore, a chemometric approach (Principal Component Analysis, PCA) was employed to evaluate the correlations between concentrations of the elements in hair and nails and between these materials. Until now PCA has not been frequently applied in handling and interpretation of the results of analysis of biological materials. However, the results of the present investigation show the high potential of PCA in extraction of valuable information from analytical measurements. Additionally, PCA has become a useful tool for visualization of the obtained results. Moreover, the cluster analysis (CA) was used to group the samples according to gender, taking into account two different groups of elements: essential and toxic.

Principal component and hierarchical clustering analysis of metabolites in destructive weeds; polygonaceous plants

Metabolomics ◽  
2009 ◽  
Vol 6 (1) ◽  
pp. 146-155 ◽  
Author(s):  
Atsuko Miyagi ◽  
Hideyuki Takahashi ◽  
Kentaro Takahara ◽  
Takayuki Hirabayashi ◽  
Yoshiki Nishimura ◽  
...  
Keyword(s):  
Hierarchical Clustering ◽  
Clustering Analysis ◽  
Principal Component ◽  
Hierarchical Clustering Analysis
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