scholarly journals Cancer Influences the Elemental Composition of the Myocardium More Strongly than Conjugated Linoleic Acids-Chemometric Approach to Cardio-Oncological Studies

Molecules ◽  
2021 ◽  
Vol 26 (23) ◽  
pp. 7127
Author(s):  
Agnieszka Białek ◽  
Małgorzata Białek ◽  
Tomasz Lepionka ◽  
Anna Ruszczyńska ◽  
Ewa Bulska ◽  
...  
Keyword(s):  
Inductively Coupled Plasma ◽  
Antioxidant Properties ◽  
Principal Component ◽  
Mammary Tumors ◽  
Pathological Process ◽  
Elemental Content ◽  
Sprague Dawley ◽  
Conjugated Linoleic Acids ◽  
Linear Discriminant ◽  
Diet Supplementation

The aim of the study was to verify in a cardio-oncological model experiment if conjugated linoleic acids (CLA) fed to rats with mammary tumors affect the content of selected macro- and microelements in their myocardium. The diet of Sprague–Dawley females was supplemented either with CLA isomers or with safflower oil. In hearts of rats suffering from breast cancer, selected elements were analyzed with a quadrupole mass spectrometer with inductively coupled plasma ionization (ICP-MS). In order to better understand the data trends, cluster analysis, principal component analysis and linear discriminant analysis were applied. Mammary tumors influenced macro- and microelements content in the myocardium to a greater extent than applied diet supplementation. Significant influences of diet (p = 0.0192), mammary tumors (p = 0.0200) and interactions of both factors (p = 0.0151) were documented in terms of Fe content. CLA significantly decreased the contents of Cu and Mn (p = 0.0158 and p = 0.0265, respectively). The level of Ni was significantly higher (p = 0.0073), which was more pronounced in groups supplemented with CLA. The obtained results confirmed antioxidant properties of CLA and the relationship with Se deposition. Chemometric techniques distinctly showed that the coexisting pathological process induced differences to the greater extent than diet supplementation in the elemental content in the myocardium, which may impinge on cardiac tissue’s susceptibility to injuries.

scholarly journals Traceability of the geographical origin of Siraitia grosvenorii based on multielement contents coupled with chemometric techniques

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xiao-Ping Huang ◽  
Lei Lei ◽  
Shun-Xin Lei ◽  
Wei-Wei Zhu ◽  
Jun Yan
Keyword(s):  
Inductively Coupled Plasma ◽  
Geographical Origin ◽  
Principal Component ◽  
Emission Spectrometry ◽  
Support Vector ◽  
Linear Discriminant ◽  
Protected Designation Of Origin ◽  
Siraitia Grosvenorii ◽  
Discrimination Rate ◽  
Chemometric Techniques

AbstractSiraitia grosvenorii (LHG) is widely used as a medicinal and edible material around the world. The objective of this study was to develop an effective method for the authentication of the geographical origin of LHG in its main producing area Guangxi, China, which is identified as Chinese Protected Designation of Origin product, against other producing regions in China. The content of 14 elements (K, Na, Ca, P, Mg, Al, B, Ba, Cu, Fe, Mn, Ni, Zn, and Sr) of 114 LHG samples was determined by inductively coupled plasma optical emission spectrometry. Multivariate analysis was then performed to classify the geographical origin of LHG samples. The contents of multielement display an obvious trend of clustering according to the geographical origin of LHG samples based on radar plot and principal component analysis. Finally, three supervised statistical techniques, including linear discriminant analysis (LDA), k-nearest neighbours (k-NN), and support vector machine (SVM), were applied to develop classification models. Finally, 40 unknown LHG samples were used to evaluate the predictive ability of model and discrimination rate of 100%, 97.5% and 100% were obtained for LDA, k-NN, and SVM, respectively. This study indicated that it is feasible to attribute unknown LHG samples to its geographical origin based on its multielement content coupled with chemometric techniques.

scholarly journals Preliminary Investigations into the Source Attribution of Party Sparklers Using Trace Elemental Analysis and Chemometrics

2020 ◽  
Author(s):  
Joshua D'Uva ◽  
David DeTata ◽  
Christopher D. May ◽  
Simon W. Lewis
Keyword(s):  
Elemental Analysis ◽  
Inductively Coupled Plasma ◽  
Principal Component ◽  
Source Attribution ◽  
Trace Elemental Analysis ◽  
Linear Discriminant ◽  
Inductively Coupled ◽  
Discriminant Model ◽  
Source Determination ◽  
Trace Elemental

<p>In Australia, party sparklers are commonly used to initiate or prepare inorganic based homemade explosives (HMEs) as they are the most easily accessible and inexpensive pyrotechnic available on the market. As sparkler residue would be encountered in cases involving these types of devices, the characterisation and source determination of the residue would be beneficial within a forensic investigation. The aim of this study is to demonstrate the potential of using trace elemental profiling coupled with chemometric and other statistical techniques to link a variety of different sparklers to their origin. Inductively coupled plasma – mass spectrometry (ICP-MS) was used to determine the concentration of 50 elements in 48 pre-blast sparkler samples from eight sparkler brands/classes available in Australia. Extracting ground-up sparkler residue in 10% nitric acid for 24 hours was found to give the most reliable quantification. The collected data were analysed using Principal Component Analysis (PCA) to visualise the distribution of the sample data and explore whether the sparkler samples could be classified into their respective brands. ANOVA based feature selection was used to remove elements that did not significantly contribute to the separation between classes. This resulted in the development of a 7-elemental profile, consisting of V, Co, Ni, Sr, Sn, Sb, W, which could be used to correctly classify the samples into eight distinct groups. Linear Discriminant Analysis (LDA) was subsequently used to construct a discriminant model using four out of six samples from each class. The model successfully classified 100% of the samples to their correct sparkler brand. The model also correctly matched 100% of the remaining samples to the correct class. This demonstrates the potential of using trace elemental analysis and chemometrics to correctly identify and discriminate between party sparklers. </p>

scholarly journals The Effect of Diet Supplementation with Pomegranate and Bitter Melon on Lipidomic Profile of Serum and Cancerous Tissues of Rats with Mammary Tumours

Antioxidants ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 243 ◽  
Author(s):  
Agnieszka Białek ◽  
Małgorzata Jelińska ◽  
Małgorzata Białek ◽  
Tomasz Lepionka ◽  
Małgorzata Czerwonka ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Antioxidant Properties ◽  
Positive Influence ◽  
Bitter Melon ◽  
Conjugated Linoleic Acids ◽  
Mammary Tumours ◽  
Isomer Activity ◽  
Conjugated Linolenic Acids ◽  
Neoplastic Process ◽  
Diet Supplementation

The aim of this study was to present overall lipid profile of organisms with ongoing neoplastic process and applied diet supplementation with pomegranate seed oil (PSO) and bitter melon extract (BME). The following were quantified in serum and cancerous tissues of rats suffering from mammary tumours: fatty acids, conjugated fatty acids and sterols, their oxidised metabolites (malondialdehyde and oxysterols) and lipoxygenase (LOX) metabolites of polyunsaturated fatty acids. The obtained results indicate that abnormalities in lipid metabolism accompany neoplastic process. These differences concern all classes of lipids and most pathways of their transformation, with the special emphasis on lipid peroxidation and LOX-mediated metabolism. Cancer process appears to be so detrimental that it may conceal positive influence of dietary modifications. The lack of anticarcinogenic properties of PSO and BME in this model may be due to their antioxidant properties or elevated levels of conjugated linoleic acids (CLA), which change CLA isomer activity from anti- to pro-tumorigenic. As CLA are the product of conjugated linolenic acids (CLnA) endogenous metabolism, high CLA levels may be explained by applied diet enrichment.

scholarly journals Preliminary Investigations into the Source Attribution of Party Sparklers Using Trace Elemental Analysis and Chemometrics

2020 ◽  
Author(s):  
Joshua D'Uva ◽  
David DeTata ◽  
Christopher D. May ◽  
Simon W. Lewis
Keyword(s):  
Elemental Analysis ◽  
Inductively Coupled Plasma ◽  
Principal Component ◽  
Source Attribution ◽  
Trace Elemental Analysis ◽  
Linear Discriminant ◽  
Inductively Coupled ◽  
Discriminant Model ◽  
Source Determination ◽  
Trace Elemental

<p>In Australia, party sparklers are commonly used to initiate or prepare inorganic based homemade explosives (HMEs) as they are the most easily accessible and inexpensive pyrotechnic available on the market. As sparkler residue would be encountered in cases involving these types of devices, the characterisation and source determination of the residue would be beneficial within a forensic investigation. The aim of this study is to demonstrate the potential of using trace elemental profiling coupled with chemometric and other statistical techniques to link a variety of different sparklers to their origin. Inductively coupled plasma – mass spectrometry (ICP-MS) was used to determine the concentration of 50 elements in 48 pre-blast sparkler samples from eight sparkler brands/classes available in Australia. Extracting ground-up sparkler residue in 10% nitric acid for 24 hours was found to give the most reliable quantification. The collected data were analysed using Principal Component Analysis (PCA) to visualise the distribution of the sample data and explore whether the sparkler samples could be classified into their respective brands. ANOVA based feature selection was used to remove elements that did not significantly contribute to the separation between classes. This resulted in the development of a 7-elemental profile, consisting of V, Co, Ni, Sr, Sn, Sb, W, which could be used to correctly classify the samples into eight distinct groups. Linear Discriminant Analysis (LDA) was subsequently used to construct a discriminant model using four out of six samples from each class. The model successfully classified 100% of the samples to their correct sparkler brand. The model also correctly matched 100% of the remaining samples to the correct class. This demonstrates the potential of using trace elemental analysis and chemometrics to correctly identify and discriminate between party sparklers. </p>

scholarly journals Characterization of Indonesia wild honey and its potential for authentication and origin distinction

Food Research ◽  
2020 ◽  
Vol 4 (5) ◽  
pp. 1670-1680
Author(s):  
Y. Riswahyuli ◽  
A. Rohman ◽  
F.M.C.S. Setyabudi ◽  
S. Raharjo
Keyword(s):  
Ph Value ◽  
Sugar Content ◽  
Antioxidant Properties ◽  
Principal Component ◽  
Food Product ◽  
Natural Food ◽  
Data Set ◽  
Linear Discriminant ◽  
Geographical Regions ◽  
Antioxidant Parameters

Honey is a natural food derived from flowers nectar that has many health benefits. This reason made honey become one of category food product that has a risk to be adulterated because of economically motivation. This study was conducted for characterization and authentication of Indonesia wild honey (IWH) collected from seven geographical regions (Sumatra, Bangka Belitung, Java, Kalimantan, Sulawesi, West Nusa Tenggara, and East Nusa Tenggara) and harvested during 2016–2018 based on physicochemical parameters, sugar content, minerals, and antioxidant components. The study showed that the result differs widely among the type of honey. IWH has a moisture content between 16.52- 33.41%, a pH value between 3.00 to 4.65 and color characteristic ranged from pale yellow to dark brown. All samples contain the highest amount in potassium, but several minerals found in the specific region. Evaluation of authenticity from sugar content data set by principal component analysis (PCA) and Linear Discriminant Analysis (LDA) revealed that the authentic and adulterated honey samples could be differentiated with a 95.5% accuracy. The honey samples were classified on their botanical and geographical origin using the antioxidant properties, and results of PCA and LDA demonstrated that the antioxidant parameters can provide adequate information to allow classification of the various types of IWH samples collected from different geographical regions with accuracy 80-100% for Bangka Belitung, Sulawesi, Kalimantan, West Nusa Tenggara, East Nusa Tenggara and Java island

scholarly journals Preliminary Investigations into the Source Attribution of Party Sparklers Using Trace Elemental Analysis and Chemometrics

2020 ◽  
Author(s):  
Joshua D'Uva ◽  
David DeTata ◽  
Christopher D. May ◽  
Simon W. Lewis
Keyword(s):  
Elemental Analysis ◽  
Inductively Coupled Plasma ◽  
Principal Component ◽  
Source Attribution ◽  
Trace Elemental Analysis ◽  
Linear Discriminant ◽  
Inductively Coupled ◽  
Discriminant Model ◽  
Source Determination ◽  
Trace Elemental

<p>In Australia, party sparklers are commonly used to initiate or prepare inorganic based homemade explosives (HMEs) as they are the most easily accessible and inexpensive pyrotechnic available on the market. As sparkler residue would be encountered in cases involving these types of devices, the characterisation and source determination of the residue would be beneficial within a forensic investigation. The aim of this study is to demonstrate the potential of using trace elemental profiling coupled with chemometric and other statistical techniques to link a variety of different sparklers to their origin. Inductively coupled plasma – mass spectrometry (ICP-MS) was used to determine the concentration of 50 elements in 48 pre-blast sparkler samples from eight sparkler brands/classes available in Australia. Extracting ground-up sparkler residue in 10% nitric acid for 24 hours was found to give the most reliable quantification. The collected data were analysed using Principal Component Analysis (PCA) to visualise the distribution of the sample data and explore whether the sparkler samples could be classified into their respective brands. ANOVA based feature selection was used to remove elements that did not significantly contribute to the separation between classes. This resulted in the development of a 7-elemental profile, consisting of V, Co, Ni, Sr, Sn, Sb, W, which could be used to correctly classify the samples into eight distinct groups. Linear Discriminant Analysis (LDA) was subsequently used to construct a discriminant model using four out of six samples from each class. The model successfully classified 100% of the samples to their correct sparkler brand. The model also correctly matched 100% of the remaining samples to the correct class. This demonstrates the potential of using trace elemental analysis and chemometrics to correctly identify and discriminate between party sparklers. </p>

scholarly journals Air pollution study in Macedonia using a moss biomonitoring technique, ICP-AES and AAS

2013 ◽  
Vol 32 (1) ◽  
pp. 89 ◽  
Author(s):  
Lambe Barandovski ◽  
Trajce Stafilov ◽  
Robert Sajn ◽  
Marina Frontasyeva ◽  
Katerina Baceva
Keyword(s):  
Air Pollution ◽  
Inductively Coupled Plasma ◽  
Principal Component ◽  
Emission Spectrometry ◽  
Elemental Content ◽  
Plasma Atomic Emission Spectrometry ◽  
United Nations Economic Commission ◽  
Republic Of Macedonia ◽  
Moss Biomonitoring ◽  
The Republic

In the framework of the International Cooperative Programme on Effects of Air Pollution on Natural Vegetation and Crops under the auspices of the United Nations Economic Commission for Europe (UNECE-ICP Vegetation) Convention on Long-Range Transboundary Air Pollution (LRTAP), in 2002 and 2005, a moss biomonitoring technique was applied to air pollution studies in the Republic of Macedonia. The third moss survey took place in August and September 2010 when 72 samples of the terrestrial mosses Homalothecium lutescens and Hypnum cupressiforme were collected over the territory of the Republic of Macedonia, using the same sampling network grid as for the previous surveys. Using inductively coupled plasma-atomic emission spectrometry (ICP-AES) and atomic absorption spectrometry (AAS), a total of 18 elements (Al, Ba, Ca, Cd, Cr, Cu, Fe, Hg, K, Li, Mg, Mn, Ni, P, Pb, Sr, V and Zn) were determined. To reveal hidden multivariate data structures and to identify and characterize different pollution sources, Principal Component Analysis was used. Distributional maps were prepared to point out the regions most affected by pollution and related to known sources of contamination. As in the previous surveys, the regions near the towns of Skopje, Veles, Tetovo, Radoviš and Kavadarci were found to be most affected by pollution, even though the median elemental content in the mosses in 2010 for  Cd, Cr, Cu, Ni, Pb and Zn was slightly lower than in the previous surveys. For the first time, P content in the moss samples was analyzed, and a higher content of this element as well as K in the mosses was observed in the agricultural regions of the country.

scholarly journals Traceability of the Geographical Origin of Siraitia grosvenorii based on Multielement Contents coupled with Chemometric Techniques

2021 ◽  
Author(s):  
Xiao-Ping Huang ◽  
Lei Lei ◽  
Shun-Xin Lei ◽  
Wei-Wei Zhu ◽  
Jun Yan
Keyword(s):  
Inductively Coupled Plasma ◽  
Geographical Origin ◽  
Principal Component ◽  
Emission Spectrometry ◽  
Support Vector ◽  
Linear Discriminant ◽  
Protected Designation Of Origin ◽  
Siraitia Grosvenorii ◽  
Discrimination Rate ◽  
Chemometric Techniques

Abstract Siraitia grosvenorii (LHG) is widely used as a medicinal and edible material around the world. The objective of this study was to develop an effective method for the authentication of the geographical origin of LHG in its main producing area Guangxi, China, which is identified as Chinese Protected Designation of Origin (PDO) product，against other producing regions in China. The content of 14 elements (K, Na, Ca, P, Mg, Al, B, Ba, Cu, Fe, Mn, Ni, Zn, and Sr) of 114 LHG samples was determined by inductively coupled plasma optical emission spectrometry (ICP-OES). Multivariate analysis was then performed to classify the geographical origin of LHG samples. The contents of multielement display an obvious trend of clustering according to the geographical origin of LHG samples based on radar plot and principal component analysis (PCA). Finally, three supervised statistical techniques, including linear discriminant analysis (LDA), k-nearest neighbours (k-NN), and support vector machine (SVM), were applied to develop classification models. Finally, 40 unknown LHG samples were used to evaluate the predictive ability of model and discrimination rate of 100%, 97.5% and 100% were obtained for LDA, k-NN, and SVM, respectively. This study indicated that it is feasible to attribute unknown LHG samples to its geographical origin based on its multielement content coupled with chemometric techniques.

scholarly journals Multi-elemental composition of Slovenian milk: analytical approach and geographical origin determination

ACTA IMEKO ◽  
2016 ◽  
Vol 5 (1) ◽  
pp. 15 ◽  
Author(s):  
Doris Potocnik ◽  
Marijan Necemer ◽  
Darja Mazej ◽  
Radojko Jacimovic ◽  
Nives Ogrinc
Keyword(s):  
Elemental Composition ◽  
Elemental Analysis ◽  
Inductively Coupled Plasma ◽  
Cow Milk ◽  
Elemental Content ◽  
Prediction Ability ◽  
Linear Discriminant ◽  
Milk Samples ◽  
Icp Ms ◽  
Geographical Regions

The main objective in multi-elemental analysis in food is to obtain the best results in the shortest time and with minimal contamination and reagent consumption. Three different methods were investigated in the present study to obtain the elemental content in milk samples: energy dispersive X-ray fluorescence spectrometry (EDXRF), k<sub>0</sub>-instrumental nuclear activation analysis (k<sub>0</sub>-INAA) and the inductively coupled plasma mass spectrometry (ICP-MS). Quality assurance including intercomparison exercises of these measurements proved entirely satisfactory and was typical of that previously established for this technique. It was found that EDXRF was the cheapest, simplest and environmental friendly method for analysis of multi-elemental composition (P, S, Cl, K, Ca, Zn, Br, Rb, Sr) in milk samples, while for determination of Mn, Fe, Cu, Se content and possible identification of pollutants such as As, Cd and Pb ICP-MS was a method of choice due to its excellent sensitivity and accuracy. These two methods were also used to determine the multi-elemental composition in Slovenian raw cow milk from different geographical regions: Alpine, Mediterranean. Dinaric and Panoninan in December 2013. Linear discriminant analysis (LDA) was used to explore multi-elemental analysis of milk samples to obtain classification according to geographical regions. Regional discrimination was most successful taking into account Ca, S, P, K, and Cl with prediction ability of 66.7%.

Preparation of cultured astrocytes for x-ray microanalysis

1989 ◽  
Vol 47 ◽  
pp. 988-989
Author(s):  
N.K.R. Smith ◽  
K.E. Hunter ◽  
P. Mobley ◽  
L.P. Felpel
Keyword(s):  
Cultured Cells ◽  
Elemental Content ◽  
Elemental Distribution ◽  
Sprague Dawley ◽  
X Ray ◽  
Cultured Astrocytes ◽  
Freeze Dried ◽  
Ultimate Objective

Electron probe energy dispersive x-ray microanalysis (XRMA) offers a powerful tool for the determination of intracellular elemental content of biological tissue. However, preparation of the tissue specimen , particularly excitable central nervous system (CNS) tissue , for XRMA is rather difficult, as dissection of a sample from the intact organism frequently results in artefacts in elemental distribution. To circumvent the problems inherent in the in vivo preparation, we turned to an in vitro preparation of astrocytes grown in tissue culture. However, preparations of in vitro samples offer a new and unique set of problems. Generally, cultured cells, growing in monolayer, must be harvested by either mechanical or enzymatic procedures, resulting in variable degrees of damage to the cells and compromised intracel1ular elemental distribution. The ultimate objective is to process and analyze unperturbed cells. With the objective of sparing others from some of the same efforts, we are reporting the considerable difficulties we have encountered in attempting to prepare astrocytes for XRMA.Tissue cultures of astrocytes from newborn C57 mice or Sprague Dawley rats were prepared and cultured by standard techniques, usually in T25 flasks, except as noted differently on Cytodex beads or on gelatin. After different preparative procedures, all samples were frozen on brass pins in liquid propane, stored in liquid nitrogen, cryosectioned (0.1 μm), freeze dried, and microanalyzed as previously reported.

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