This Tuesday afternoon session will be presided over by Vassili Karanassios of the University of Waterloo (Waterloo, Ontario, Canada).
Session 1390, Room 116, 2:00 p.m.
This Tuesday afternoon session will be presided over by Vassili Karanassios of the University of Waterloo (Waterloo, Ontario, Canada).
The first presentation in the session, “Method for Monitoring Total Chromium and Nickel in Urine Using an Inductively Coupled Plasma-Universal Cell Technology-Mass Spectrometer (ICP-UCT-MS) in Kinetic Energy Discrimination (KED) Mode,” will be given by C. Derrick Quarles of the Centers for Disease Control. Quarles will evaluate the ability of the system he and his group used to remove interfering ions in the analysis of nickel and chromium in urine.
Next, Matthew Cassup of Thermo Fisher Scientific will present a talk titled “Optimized ICP-OES Analysis of DMSO Matrices — A Simple, Efficient Approach for USP Compliant Analyses of Heavy Metals.” His presentation will discuss the suitability of ICP-OES for analyzing trace amounts of DMSO in drug products.
The next presentation, to be given by Bin Chen of PS Analytical, is titled “Arsenic Speciation in Rice Using Ion Chromatography: A Comparison Study between Hydride Generation Atomic Fluorescence Spectrometry (HG-AFS) and Inductively Couple Plasma Mass Spectrometry (ICP-MS).” Routine screening of arsenic content in food products has become a more urgent task for food authorities in many countries.
Session presider Karanassios will then present “Sample Introduction as the Means of Improving the Detection Limits of ICP-AES.” His group is developing an electrothermal, near-torch vaporization (NTV) sample introduction system for ICP-AES that provides improved sample introduction efficiency and detection limits.
After a short break, Lynn X. Zhang of Clemson University (Clemson, South Carolina) will present a talk titled “Optimization of Operating Parameters of a Liquid Sampling-Atmospheric Pressure Glow Discharge (LS-APGD) Ionization Source for Mass Spectrometry.” Zhang’s presentation will discuss the implementation of an ionization source for MS elemental analysis.
The next presentation in the session is titled “Characterization of Dried Blood Spots by Wavelength Dispersive X-Ray Fluorescence (WDXRF) and High Resolution Inductively Coupled Plasma — Mass Spectrometry (SF-ICP-MS)” and will be given by Frank Weber of RTI International. His talk will describe the use of two complementary analytical techniques for examining dried blood spot samples.
The penultimate presentation in the session, also scheduled to be given by session presider Karanassios, is titled “Taking Part of the Lab to the Sample and Using an ICP-AES System in the Lab.” He will discuss a field-deployable electrochemical approach to preconcentration, matrix clean up and selective electrodeposition of Cr(III) and Cr(III)+Cr(VI) in seawater.
The session’s final presentation, “Internal Quality Control (QC) Scheme Applied for the Determination of Uranium in Drinking Water Performed by ICP-MS,” will be given by Sławomir Garbos of the National Institute of Public Health — National Institute of Hygiene (Poland).
Spectroscopy and GPC to Evaluate Dissolved Organic Matter
February 4th 2025In a new study, a team of scientists used gel permeation chromatography, three-dimensional excitation-emission matrix fluorescence spectroscopy, and UV-visible spectroscopy to assess road runoff from drinking water treatment plants to evaluate the method' capacity for removing dissolved organic matter (DOM).
Blood-Glucose Testing: AI and FT-IR Claim Improved Accuracy to 98.8%
February 3rd 2025A research team is claiming significantly enhanced accuracy of non-invasive blood-glucose testing by upgrading Fourier transform infrared spectroscopy (FT-IR) with multiple-reflections, quantum cascade lasers, two-dimensional correlation spectroscopy, and machine learning. The study, published in Spectrochimica Acta Part A, reports achieving a record-breaking 98.8% accuracy, surpassing previous benchmarks for non-invasive glucose detection.
Distinguishing Horsetails Using NIR and Predictive Modeling
February 3rd 2025Spectroscopy sat down with Knut Baumann of the University of Technology Braunschweig to discuss his latest research examining the classification of two closely related horsetail species, Equisetum arvense (field horsetail) and Equisetum palustre (marsh horsetail), using near-infrared spectroscopy (NIR).