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 Quantitative Evaluation of 28 Mineral Elements by Inductively Coupled Plasma/Mass Spectrometry and Its Application in Source Identification of Indian Opium

2005 ◽  
Vol 88 (5) ◽  
pp. 1469-1484 ◽  
Author(s):  
Mohanakrishna R Mudiam ◽  
Sanjukta A Kumar ◽  
Sudhershanan Mahadevan ◽  
Priyankar Ghosh ◽  
Rajendra K Sarin ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Inductively Coupled Plasma ◽  
Analytical Data ◽  
Mineral Elements ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Geographical Regions ◽  
Plasma Mass Spectrometry ◽  
Elemental Data

Abstract An analytical method based on inductively coupled plasma/mass spectrometry (ICP/MS) was developed for the determination of 28 mineral elements (Cr, Mn, Co, Ni, Cu, Zn, Ga, Sr, Cd, Ag, Ba, Pb, Bi Y, La, Ce, Nd, Pr, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, and Lu) in Indian opium samples. The detection limits were found to be in the range of 0.0008–0.45 ng/mL. The recoveries of spiked samples for each element were found to be in the range of 83–106%, with a precision of less than 9%. A total of 124 opium samples from India were analyzed for the distribution pattern of the 28 mineral elements. Quantitative elemental data were subjected to chemometric analysis in order to determine an optimal classifier to evaluate the source of Indian opium. The study indicated that mineral elements might not be the suitable discriminators for the discrimination of licit opium-growing divisions of India. However, the methodology developed and the analytical data on elemental profile may find important forensic application in discriminating Indian opium with that of licit and illicit opium originating from different geographical regions of world.

Single Particle Inductively Coupled Plasma Mass Spectrometry: Investigating Nonlinear Response Observed in Pulse Counting Mode and Extending the Linear Dynamic Range by Compensating for Dead Time Related Count Losses on a Microsecond Timescale

2019 ◽  
Author(s):  
Ingo Strenge ◽  
Carsten Engelhard
Keyword(s):  
Mass Spectrometry ◽  
Inductively Coupled Plasma ◽  
Nonlinear Response ◽  
Dynamic Range ◽  
Dead Time ◽  
Inorganic Nanoparticles ◽  
Linear Dynamic Range ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Plasma Mass Spectrometry

<p>The article demonstrates the importance of using a suitable approach to compensate for dead time relate count losses (a certain measurement artefact) whenever short, but potentially strong transient signals are to be analysed using inductively coupled plasma mass spectrometry (ICP-MS). Findings strongly support the theory that inadequate time resolution, and therefore insufficient compensation for these count losses, is one of the main reasons for size underestimation observed when analysing inorganic nanoparticles using ICP-MS, a topic still controversially discussed.</p>

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