scholarly journals Do vertebral chemical signatures distinguish juvenile blacktip shark (Carcharhinus limbatus) nursery regions in the northern Gulf of Mexico?

2016 ◽  
Vol 67 (7) ◽  
pp. 1014 ◽  
Author(s):  
Justin P. Lewis ◽  
William F. Patterson ◽  
John K. Carlson ◽  
Katherine McLachlin
Keyword(s):  
Gulf Of Mexico ◽  
Inductively Coupled Plasma ◽  
Function Analysis ◽  
Population Connectivity ◽  
Specific Chemical ◽  
Linear Discriminant ◽  
Carcharhinus Limbatus ◽  
Inductively Coupled ◽  
Vertebral Centra ◽  
Chemical Signatures

Identifying and protecting shark nurseries is a common management strategy used to help rebuild overfished stocks, yet we know little about connectivity between juvenile and adult populations. By analysing trace metals incorporated into vertebral cartilage, it may be possible to infer natal origin based on nursery-specific chemical signatures. To assess the efficacy of this approach, we collected juvenile blacktip sharks (Carcharhinus limbatus; n = 93) from four regions in the Gulf of Mexico in 2012 and 2013 and analysed their vertebral centra with laser ablation–inductively coupled plasma–mass spectrometry. We observed significant regional differences in six element:Ca ratios in both 2012 and 2013. Multi-element chemical signatures were significantly different among regions and between year-classes. Year-class-specific linear discriminant function analysis yielded regional classification accuracies of 81% for 2012 and 85% for 2013, although samples were not obtained from all four regions in 2012. Combining year-classes resulted in an overall classification accuracy of 84%, thus demonstrating the usefulness of this approach. These results are encouraging yet highlight a need for more research to better evaluate the efficacy of vertebral chemistry to study elasmobranch population connectivity.

Provenance Determination from ICP-MS Elemental and Isotopic Compositions of El Paso Area Ceramics

1996 ◽  
Vol 462 ◽  
Author(s):  
Nicholas E. Pingitore ◽  
Jeff D. Leach ◽  
Joshua Villalobos ◽  
John A. Peterson ◽  
David Hill
Keyword(s):  
Inductively Coupled Plasma ◽  
Function Analysis ◽  
A Priori ◽  
El Paso ◽  
Archaeological Ceramics ◽  
Inductively Coupled ◽  
West Texas ◽  
Icp Ms ◽  
Plasma Mass Spectrometry ◽  
Elemental Data

ABSTRACTTo evaluate the performance of inductively coupled plasma mass spectrometry (ICP-MS) in determining ceramic provenance, we analyzed 60 elements in 30 ceramic artifacts from six a priori groups from west Texas-southwestern New Mexico. Discriminant function analysis of the ICP-MS elemental data classified all members of the six a priori groups without error. In repeated analyses using 80% of the data as a training set, overall 75% of the withheld specimens were properly classified. Lead isotope ratios, also measured on the ICP-MS, provided an independent partial discrimination between the groups. The results of this study demonstrate that ICP-MS provides multi-element and lead isotopie characterization of archaeological ceramics suitable for provenance determination. ICP-MS is a rapid, in-house, and relatively inexpensive technology and thus is a reasonable alternative to neutron activation analysis (NAA) for compositional studies of archaeological ceramics.

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 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.

scholarly journals From Soil to Grape and Wine: Geographical Variations in Elemental Profiles in Different Chinese Regions

Foods ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 3108
Author(s):  
Xiaoyun Hao ◽  
Feifei Gao ◽  
Hao Wu ◽  
Yangbo Song ◽  
Liang Zhang ◽  
...  
Keyword(s):  
Environmental Factor ◽  
Inductively Coupled Plasma ◽  
Bioconcentration Factor ◽  
Geographical Origin ◽  
Linear Discriminant ◽  
Inductively Coupled ◽  
Geographical Variations ◽  
Icp Ms ◽  
Plasma Mass Spectrometry ◽  
Grape Wine

Elemental profiles are frequently applied to identify the geographical origin and authenticity of food products, to guarantee quality. The concentrations of fifteen major, minor, and trace elements (Na, Mg, K, Ca, Al, Fe, Mn, Cu, Zn, Rb, Sr, Li, Cd, Cs, and Ba) were determined in soils, “Meili” grapes, and wines from six regions in China by inductively coupled plasma mass spectrometry (ICP-MS). The elemental concentrations in these samples, according to the geographical origins, were analyzed by one-way analysis of variance (ANOVA) with Duncan’s multiple comparisons. The bioconcentration factor (BCF) from soil to grape and the transfer factor (TF) from grape to wine were calculated. Mg, K, Ca, Cu, Zn, Rb, Sr, and Ba presented higher BCF values than the other seven elements. The TF values of six elements (Na, Mg, K, Zn, Li, and Cs) were found to be greater than one. Moreover, the correlation of element content between the pairs of soil–grape, grape–wine, and bioconcentration factor (BCF)–environmental factor were analyzed. Significant correspondences among soil, grape, and wine were observed for K and Li. Two elements (Sr and Li) showed significant correlations between BCF and environmental factor (relative humidity, temperature, and latitude). A linear discriminant analysis (LDA) with three variables (K, Sr, Li) revealed a high accuracy (>90%) to determine the geographical origin for different Chinese regions.

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 Elemental fingerprints of otoliths from smolt of Atlantic salmon, Salmo salar Linnaeus, 1758, from three Maritime watersheds: Natural tag for stock discrimination

2015 ◽  
Vol 48 (1) ◽  
Author(s):  
Jeffrey M. Reader ◽  
Aaron Spares ◽  
Michael J.W. Stokesbury ◽  
Trevor S. Avery ◽  
Michael J. Dadswell
Keyword(s):  
Atlantic Salmon ◽  
Inductively Coupled Plasma ◽  
North Atlantic Ocean ◽  
Function Analysis ◽  
River System ◽  
Emission Spectrometry ◽  
Inductively Coupled ◽  
The North ◽  
Stock Discrimination ◽  
Average Accuracy

The utility of otolith elemental fingerprintsfor discriminating sub-regional stocks of Atlantic salmon was examined. Otoliths were removed from Atlantic salmon smolts collected from three individual river watersheds in the Canadian Maritimes during spring and analyzed for 27 elements using inductively coupled plasma mass spectrometry (ICP-MS) and inductively coupled plasma emission spectrometry (ICP-ES). Calcium and minor and trace elements were precisely measured in whole otoliths at concentrations well above detection limits. Six elements (Ba, Pb, Li, Mn, Rb, and Tl) were significantlydifferent among watersheds. Linear discriminate function analysis based on otolith elemental concentrations of Li, Mn, Rb, and Tl correctly classifiedsmolts to their river of origin with an average accuracy of 73%. At a slightly greater spatial scale of large watersheds, correct mean classificationrate was 92% based on a fingerprintof four elements (Ba, Li, Mn, and Rb). Results indicate that elemental fingerprintsof otoliths can be used to discriminate among river management stocks which may be important in the future since dried or frozen stored otoliths retain their signature indefiniely and otoliths are often available from previous studies. Otolith elemental fingerprintswould be effective as a natural tag of a river system or biogeoclimatic zone of origin when applied to the study and management of Atlantic salmon in the North Atlantic Ocean.

scholarly journals Application of Otolith Chemical Signatures to Estimate Population Connectivity of Red Snapper in the Western Gulf of Mexico

2015 ◽  
Vol 7 (1) ◽  
pp. 483-496
Author(s):  
Michelle Zapp Sluis ◽  
Beverly K. Barnett ◽  
William F. Patterson ◽  
James H. Cowan ◽  
Alan M. Shiller
Keyword(s):  
Gulf Of Mexico ◽  
Population Connectivity ◽  
Red Snapper ◽  
Chemical Signatures

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 Tracing the Geographical Origin of Thai Hom Mali Rice in Three Contiguous Provinces of Thailand Using Stable Isotopic and Elemental Markers Combined with Multivariate Analysis

Foods ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 2349
Author(s):  
Supalak Kongsri ◽  
Phitchan Sricharoen ◽  
Nunticha Limchoowong ◽  
Chunyapuk Kukusamude
Keyword(s):  
Mass Spectrometry ◽  
Multivariate Analysis ◽  
Inductively Coupled Plasma ◽  
Geographical Origin ◽  
Isotope Ratio Mass Spectrometry ◽  
Valuable Insight ◽  
Linear Discriminant ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Plasma Mass Spectrometry

Rice is a staple food for more than half of the world’s population. The discrimination of geographical origin of rice has emerged as an important issue to prevent mislabeling and adulteration problems and ensure food quality. Here, the discrimination of Thai Hom Mali rice (THMR), registered as a European Protected Geographical Indication (PGI), was demonstrated. Elemental compositions (Mn, Rb, Co, and Mo) and stable isotope (δ18O) in the rice were analyzed using inductively coupled plasma mass spectrometry (ICP-MS) and elemental analyzer isotope ratio mass spectrometry (EA-IRMS), respectively. The recoveries and precisions of all elements were greater than 98% and lower than 9%, respectively. The analytical precision (±standard deviation) was below ±0.2‰ for δ18O measurement. Mean of Mn, Rb, Co, Mo, and δ18O levels was 14.0 mg kg−1, 5.39 mg kg−1, 0.049 mg kg−1, 0.47 mg kg−1, and 25.22‰, respectively. Only five valuable markers combined with radar plots and multivariate analysis, linear discriminant analysis (LDA) could distinguish THMR cultivated from three contiguous provinces with correct classification and cross-validation of 96.4% and 92.9%, respectively. These results offer valuable insight for the sustainable management and regulation of improper labeling regarding geographical origin of rice in Thailand and other countries.

scholarly journals Transgenerational marking of embryonic otoliths in marine fishes using barium stable isotopes

2006 ◽  
Vol 63 (6) ◽  
pp. 1193-1197 ◽  
Author(s):  
Simon R Thorrold ◽  
Geoffrey P Jones ◽  
Serge Planes ◽  
Jonathan A Hare
Keyword(s):  
Inductively Coupled Plasma ◽  
Population Connectivity ◽  
Marine Fishes ◽  
Inductively Coupled ◽  
Centropristis Striata ◽  
Wide Range ◽  
Plasma Mass Spectrometry ◽  
A New Technique ◽  
Spawning Periods ◽  
Pelagic Spawning

We describe a new technique for transgenerational marking of embryonic otoliths that promises significant advancements in the study of larval dispersal and population connectivity in marine fishes. The approach is based on maternal transmission of 137Ba from spawning females to egg material that is ultimately incorporated into the otoliths of embryos produced by an individual after exposure to the isotope. We injected females of a benthic-spawning clownfish (Amphiprion melanopus) and a pelagic-spawning serranid (Centropristis striata) with enriched 137BaCl2 and then reared the resulting progeny through to settlement. Barium isotope ratios in the cores of larval otoliths were quantified using laser ablation inductively coupled plasma mass spectrometry. Larval otoliths from both species contained unequivocal Ba isotope signatures over a wide range of doses (0.8–23 µg 137Ba·g female–1). Female A. melanopus continued to produce marked larvae over multiple clutches and for at least 90 days after a single injection. The ability to administer different combinations of stable Ba isotopes provides a new means of mass-marking larvae of benthic- and pelagic-spawning fishes from multiple populations over extended spawning periods.

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