scholarly journals Multivariate Statistical Analysis of Multiple-Elements in Anisodus Tanguticus (Maxim.) Pascher from Different Regions to Determine Geographical Origins

2021 ◽  
Author(s):  
Chen Chen ◽  
Jingjing Li ◽  
Bo Wang ◽  
Feng Xiong ◽  
Yuanming Xiao ◽  
...  
Keyword(s):  
Inductively Coupled Plasma ◽  
Geographical Origin ◽  
Distinct Element ◽  
Principal Component ◽  
Optical Emission ◽  
Tibetan Medicine ◽  
Tibet Plateau ◽  
Transfer Coefficients ◽  
Important Species ◽  
Elemental Accumulation

Abstract Background: Anisodus tanguticus (Maxim.) Pascher, which is an important species used in traditional Tibetan medicine, is grown in the Qinghai -Tibet Plateau. Because the quality of A. tanguticus varies depending on where it is grown, a method for determining the geographical origin of this species is needed.Methods: A quantitative analysis of 18 elements (Al, Ba, Be, Ca, Co, Cu, Fe, K, Li, Mg, Mn, Mo, Na, Ni, P, Sr, V, and Zn) in A. tanguticus and the soil collected from different locations was conducted using an inductively coupled plasma optical emission spectrometer. The elemental contents underwent a principal component analysis (PCA), and an orthogonal partial least-squares discriminant analysis (OPLS-DA). Furthermore, elemental accumulation and elemental transfer coefficients were calculated according to the element concentration gradients.Results: Distinct element fingerprints were detected for the A. tanguticus collected from different regions. Additionally, the PCA and OPLS-DA results indicated A. tanguticus plants can be distinguished on the basis of their geographical origin. The Tibet samples were easily separated from the other samples. Elemental accumulation and transfer patterns differed significantly among the analyzed elements and plant parts. Ca and P were identified as the elements with the highest in elemental accumulation and elemental transfer patterns of A. tanguticus. Conclusions: Our approach can be used to efficiently and accurately distinguish herbs according to their varietal characteristics and geographical origins.

scholarly journals Assessment of essential elements and chemical contaminants in thirteen fish species from the Bay Aratu, Bahia, Brasil

2016 ◽  
Vol 76 (4) ◽  
pp. 871-877 ◽  
Author(s):  
E. Silva ◽  
Z. C. V. Viana ◽  
N. F. A. Souza ◽  
M. G. A. Korn ◽  
V. L. C. S. Santos
Keyword(s):  
Fish Species ◽  
Inductively Coupled Plasma ◽  
Certified Reference Materials ◽  
Principal Component ◽  
Optical Emission ◽  
Hierarchical Cluster ◽  
Essential Elements ◽  
Emission Spectrometry ◽  
Oyster Tissue ◽  
National Agency

Abstract Concentrations of ten elements (Cd, Cr, Cu, Fe, Ni, Pb, Se, Sr, V and Zn) were determinate in muscle tissues of 13 fish species from Aratu Bay, Bahia, Brazil by inductively coupled plasma optical emission spectrometry. The accuracy and precision of our results were checked by using two certified reference materials: BCR-422 cod muscle and SRM 1566b oyster tissue. The average trace element concentrations in the fish species varied in the following ranges, in μg g–1: 0.03-0.8 for Cr; 2.0-33.7 for Cu, 2.4-135.1 for Fe, 1.6-25.6 for Se; 1.6-35.1 for Sr; and 2.8-40.5 for Zn. The Diaptereus rhombeus (carapeba) specie presented the highest concentrations of Se, Cu and Fe. Chromium and Se were present at levels above the limit of tolerance allowed by the National Agency of Sanitary Vigilance (ANVISA). The results were also evaluated using the multivariate analysis techniques: principal component analysis (PCA) and hierarchical cluster analysis (HCA).

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.

Determination of Titanium Content as Principal Components in Pyrotechnic Compositions Used for Fireworks and Firecrackers Based on Inductively Coupled Plasma Optical Emission Spectrometric Approach (ICP-OES)

2014 ◽  
Vol 608-609 ◽  
pp. 1010-1014
Author(s):  
Jun Yi Wu
Keyword(s):  
Inductively Coupled Plasma ◽  
Principal Component ◽  
Optical Emission ◽  
Titanium Content ◽  
High Accuracy ◽  
Good Precision ◽  
Icp Oes ◽  
Inductively Coupled ◽  
Pyrotechnic Compositions

Inductively coupled plasma optical emission spectrometric approach (ICP-OES) is used to determine the titanium content as principal component in pyrotechnic compositions used for fireworks and firecrackers. Element of titanium is commonly found in titanium powder in pyrotechnic compositions in fireworks and firecrackers. Statistical analysis shows that titanium content in pyrotechnics is between 3% to 25%. Concept of this method: considering the weight of the sample is 400mg,constant volume is 1L and the concentration of titanium is between 1 mg/L to 100 mg/L in sample solution, the determination scope of the method for the titanium content would be between 0.25% to 25%.Further experiments proved that the fitting correlation coefficient of titanium calibration curve is 0.9996 or higher, recovery is 100.06%‒105.30%.The allowable differential value is 0.4% between two single tests under repeatable conditions. This method can completely satisfy the requirements of the fireworks and firecrackers industry with high accuracy and good precision.

scholarly journals The effect of collecting area on the element content of Hungarian acacia honeys

2018 ◽  
pp. 129-138
Author(s):  
Nikolett Czipa ◽  
Andrea Kántor ◽  
Loránd Alexa ◽  
Béla Kovács
Keyword(s):  
Inductively Coupled Plasma ◽  
Geographical Origin ◽  
Optical Emission ◽  
Emission Spectrometry ◽  
Linear Discriminant ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Plasma Mass Spectrometry ◽  
Plasma Optical Emission Spectrometry ◽  
One Way Anova

Six macroelements and twelve microelements were identified in thirty-six Hungarian acacia honeys collected from ten counties by inductively coupled plasma optical emission spectrometry (ICP-OES) and inductively coupled plasma mass spectrometry (ICP-MS). One-Way ANOVA (LSD and Dunnett T3 test) and linear discriminant analysis (LDA) were used to determine the statistically verified differences among the honey samples with different geographical origin. Significant differences were established among the samples from different counties in Na, P, S, Fe, Ni, Cu and Sr concentrations. Based on the macroelement content of honeys, the separation of samples with different geographical origin was not successful because the percent of correctly categorised cases was only 64.9%. However, examining the As, B, Ba, Cu, Fe Mn, Ni and Sr concentration, the separation of different groups was convincing since the percent of correctly classified cases was 97.2%. Thus, the examination of microelement concentration may be able to determine the geographical origin of acacia honeys.

Characterization of Pottery from Teotihuacan Using Laser-Induced Breakdown Spectroscopy and Inductively Coupled Plasma Optical Emission Spectroscopy

2021 ◽  
pp. 000370282199193
Author(s):  
Hugo Sobral ◽  
Mitzi Amador-Mejía ◽  
Ciro Márquez-Herrera
Keyword(s):  
Elemental Composition ◽  
Inductively Coupled Plasma ◽  
Principal Component ◽  
Optical Emission ◽  
Emission Spectrometry ◽  
Laser Induced Breakdown Spectroscopy ◽  
Icp Oes ◽  
Inductively Coupled ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Pottery sherds from Teotihuacan, Mexico, belonging to the Formative and Classic periods (150 BCE–700 CE) were investigated using laser-induced breakdown spectroscopy (LIBS) and inductively coupled plasma optical emission spectrometry (ICP-OES). LIBS results show that most of the investigated samples have primarily the same elemental composition. Nevertheless, there are also a few sherds that could be associated to foreign ceramic groups with characteristic concentrations of Na, K, Ca, Mn, Rb, and Sr. The relative elemental composition of red pigments applied on ceramic bodies was also analyzed through a LIBS depth profiling. Diverse hematite-based pigments were distinguished according to the detected iron content. Hematite was also combined with red soils with a high relative content of Mn, Sr, Ba, or Ti. The ICP-OES analysis of ceramic pastes is consistent with the emission intensities obtained using LIBS. Principal component analysis indicates that all samples identified as locals belong to a single chemical group. Moreover, locally made ceramics and the analyzed clays from the nearby area have the same elemental composition, which appears clearly differentiated from imported samples.

scholarly journals A Century long of coral records of heavy metals in coastal water of Wakatobi Marine National Park, South East Sulawesi

2021 ◽  
Vol 944 (1) ◽  
pp. 012060
Author(s):  
A A Lubis ◽  
A D P Putra ◽  
U Sugiharto ◽  
Lalang ◽  
N P Zamani
Keyword(s):  
Heavy Metals ◽  
Coastal Water ◽  
Inductively Coupled Plasma ◽  
National Park ◽  
Principal Component ◽  
Optical Emission ◽  
Average Concentration ◽  
X Ray ◽  
Inductively Coupled ◽  
Pneumatic Tool

Abstract Scleractinian corals absorb heavy metals in their skeletons; therefore, corals can be used as environmental recorders due to incorporating certain metals for centuries. The research was conducted in Wakatobi Marine National Park (WMNP) using a core of massive coral Porites Sp. to determine heavy metals’ concentrations and assess the possible impact on the coastal water. The sample was collected by drilling the coral vertically using a pneumatic tool. Annual banding was determined by using x-ray radiography, continued with sub-sampled from each band, and analyzed using an Inductively Coupled Plasma-Optical Emission Spectrometer (ICP-OES) for heavy metals determination. Enrichment Factor (EF) and Principal Component Analysis (PCA) were applied for assessing possible impact and differentiating between the heavy metals, respectively. The concentrations of heavy metals fluctuated during the period of the year 1917 to 2016, with the average concentration were 0.55 %, 0.07 %, 2.46 ppm, 3.86 ppm, 5.70 ppm, 63.22 ppm, 0.66 ppm, 3.16 ppm, 0.66 ppm, and 42.59 ppm for Sr, Mg, Mn, Ba, Cu, K, Pb, Zn, Cr, and Al, respectively. EF for all heavy metals showed that the coastal area was at the level of very small pollution (EF<2); therefore, it can be used as baseline data.

scholarly journals Caracterização estratigráfica dos depósitos sedimentares cenozoicos da Bacia do Ribeirão Sardinha, porção sul do Quadrilátero Ferrífero (MG), e estabelecimento de background geoquímico

2018 ◽  
Vol 18 (2) ◽  
pp. 129-148
Author(s):  
Rayme Loureiro dos Santos ◽  
Adivane Terezinha Costa
Keyword(s):  
Principal Component Analysis ◽  
Inductively Coupled Plasma ◽  
Principal Component ◽  
Optical Emission ◽  
Optical Emission Spectrometry ◽  
Emission Spectrometry ◽  
Icp Oes ◽  
Inductively Coupled ◽  
Quadrilátero Ferrífero ◽  
Plasma Optical Emission Spectrometry

Este trabalho apresenta os resultados de levantamentos sedimentológicos e geoquímicos realizados na Bacia do Ribeirão Sardinha, porção sul do Quadrilátero Ferrífero, estado de Minas Gerais, Brasil. O estudo fundamentou-se na caracterização faciológica de perfis verticais de depósitos de barrancos e terraços e em dados mineralógicos e químicos relacionados às fácies identificadas e aos sedimentos atuais do afluente principal (barras e canal). A amostragem das fácies reconhecidas e dos sedimentos atuais totalizaram 54 amostras. A mineralogia foi obtida via difração de raios X e os dados geoquímicos, através da espectrometria de emissão óptica por plasma acoplado indutivamente (inductively coupled plasma optical emission spectrometry — ICP-OES). Os dados químicos foram submetidos a análises de componentes principais (principal component analysis — PCA) e utilizados para a aplicação da técnica Tukey inner fence (TIF), que possibilitou o estabelecimento de valores de background dos seguintes elementos: Fe, Mn, Al, Ba, Cu, Zn, As, Ni, Cr e Co. Os resultados de PCA indicam uma forte relação entre o Mn e os sedimentos atuais do Ribeirão Sardinha. Outros padrões geoquímicos foram realçados pelas altas concentrações de Fe e Mn, relacionadas aos sedimentos arenosos e cascalhosos de barras e canal, e pelos elevados teores de Al e K vinculados aos sedimentos finos constituintes dos depósitos de planícies de inundação e de lagoas de cheia. Os cálculos dos valores de background mostram um valor de referência elevado para o As (32,89 mg/kg) e anomalias referentes às altas concentrações de Al, Cu, Zn, Ni e Cr, sugerindo fontes geogênicas. Por outro lado, anomalias referentes aos valores elevados de Co, Ba e Mn estão relacionadas a fontes antropogênicas. 

scholarly journals Can Minerals Be Used as a Tool to Classify Cinnamon Samples?

Proceedings ◽  
2020 ◽  
Vol 70 (1) ◽  
pp. 22
Author(s):  
Anna Flavia S. Silva ◽  
Luís Cláudio Martins ◽  
Liz M. B. Moraes ◽  
Isabela C. Gonçalves ◽  
Bianca B. R. de Godoy ◽  
...  
Keyword(s):  
Mineral Composition ◽  
Inductively Coupled Plasma ◽  
Optical Emission Spectroscopy ◽  
Principal Component ◽  
Optical Emission ◽  
Icp Oes ◽  
Cinnamomum Zeylanicum ◽  
Inductively Coupled ◽  
Sample Classification

Cinnamon (Cinnamomum zeylanicum) is a spice largely consumed worldwide, but there is still restricted information about its fingerprint. This work aimed to investigate the mineral composition as a possible marker for the classification of cinnamon samples. To this aim, the mineral composition (P, S, Mg, Ca, K, Cu, Zn, B, Fe, Al, Mn, and Si contents) of 56 ground cinnamon samples from different regions of the State of São Paulo, Brazil was determined by inductively coupled plasma optical emission spectroscopy (ICP OES). Principal component analysis was exploited for sample classification, and the microelements presented the best correlation: PC1, PC2, and PC3 explained 93% of the observed variance at 95% confidence level. Si, Al, Fe, and Cu presented the most significant contributions to cluster analysis. Samples were classified into six groups, in which those presenting C. zeylanicum were well clustered, and the samples acquired in bulk as well as those whose labels declared traces of grains and/or spices presented the highest variability. Thus, it was pioneeringly demonstrated the possibility of identifying C. zeylanicum in commercial cinnamon powders, using microelements as authenticity markers.

scholarly journals Geographical Origin Identification of Tequila Based on Multielement and Stable Isotopes

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Jian Zhang ◽  
Yiqian Ma ◽  
Feilong Shao ◽  
Yuanyu Lu ◽  
Libo Zhu ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Stable Isotopes ◽  
Stable Isotope ◽  
Inductively Coupled Plasma ◽  
Geographical Origin ◽  
Principal Component ◽  
Isotope Ratios ◽  
Stable Isotope Ratio ◽  
Stable Isotope Ratios ◽  
Regional Characteristics

To explore the regional characteristics of multielement and stable isotopes in tequila and the viability of tracing the geographical origin, both inductively coupled plasma mass spectrometry (ICP-MS) and stable isotope ratio mass spectrometry (IRMS) were applied in this study to determine the multielement content and stable isotope ratios of tequila. Then, principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) as chemometrics were conducted in combination to establish a model for determining the geographical origin of Mexican tequila. According to the analytical results, the content of 22 elements varied, as did the ranges of stable isotope δ13C and δ18O values for the tequila obtained from the 4 producing areas. Besides, there were regional characteristics shown to some extent. PCA and PLS-DA methods can be adopted to identify the geographical origin of tequila in Mexico. According to the discriminant verification of 16 samples, the accuracy of prediction reached 93.75%. It has been demonstrated that it is possible to distinguish tequila of different geographical origins in Mexico by combining the determination of the multielement content and stable isotope ratios with chemometric analysis, which lays a foundation for tracing the geographical origin of tequila.

scholarly journals Mineral Composition of Herbaceous Species Seseli rigidum and Seseli pallasii: a Chemometric Approach

2021 ◽  
Vol 68 (3) ◽  
pp. 709-717
Author(s):  
Marija D. Ilić ◽  
Violeta D. Mitić ◽  
Snežana B. Tošić ◽  
Aleksandra N. Pavlović ◽  
Marija S. Marković ◽  
...  
Keyword(s):  
Mineral Composition ◽  
Inductively Coupled Plasma ◽  
Principal Component ◽  
Optical Emission ◽  
Hierarchical Cluster ◽  
Balkan Peninsula ◽  
Emission Spectrometry ◽  
Medicinal Species ◽  
Multivariate Statistic ◽  
Pharmaceutical Industries

Nutrients play an essential role in many metabolic processes whose deficiency or excess can be harmful to the plant itself and through the food chain to both animals and humans. Medicinal plants used in the food and pharmaceutical industries can be contaminated with increased concentrations of heavy metals. The plant species Seseli rigidum and Seseli pallasii from the Balkan Peninsula are used in traditional medicine and spices in the diet, so it was necessary to determine the mineral composition to ensure their safe application. In this work, the mineral composition was determined in medicinal species of the genus Seseli using inductively coupled plasma with optical emission spectrometry (ICP-OES). Two multivariate statistic methods –principal component analysis (PCA) and hierarchical cluster analysis (HCA) were applied to distinguish samples regarding their mineral composition. The mineral composition of both studied species is following the literature data. The results obtained using multivariate statistics methods agree and distinguish certain parts of the tested plants based on the highest content of micro, macro, or trace elements.

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