Vol 31 No 1 Spectroscopy January 2016 Regular Issue PDF

Article

Spectroscopy

SpectroscopySpectroscopy-01-01-2016
Volume 31
Issue 1

Click the title above to open the Spectroscopy January 2016 regular issue, Vol 31 No 1, in an interactive PDF format.

To view a PDF of this article from the Spectroscopy Online archives, click this link.

Articles in this issue
A Process for Successful Infrared Spectral Interpretation
A Process for Successful Infrared Spectral Interpretation
Improved Measurement Characteristics of Elemental Compositions Using Laser- Induced Breakdown Spectroscopy
Improved Measurement Characteristics of Elemental Compositions Using Laser- Induced Breakdown Spectroscopy
Spec0116_Grindlay_fig01_web.jpg
How to Improve Analytical Figures of Merit of Hard-To-Ionize Elements in ICP-Based Techniques
Fig.1_web.jpg
What Modeling Reveals About the Properties of an Inductively Coupled Plasma
Wu-figure1_web.jpg
Surface-Enhanced Raman Spectroscopy for Trace-Level Dimethoate Detection Based on a Silver Nanoparticle–Probe–Smooth Gold Film Substrate
ICP-MS for Environmental and Bioimaging Research
Vol 31 No 1 Spectroscopy January 2016 Regular Issue PDF
Recent Videos
Jeanette Grasselli Brown 
Related Content
Abstract background of atoms. Chemical reactions of atoms from different concepts. Generated with AI. | Image Credit: © CatNap Studio - stock.adobe.com.

Accurate and Precise Quantification of Arsenic and Selenium in Water and Biological Samples Through the Removal of Doubly Charged Rare Earth Element Interferences by ICP-MS

Benjamin P. Colman;Dylan T. White;Matt Young;Rafael Feijó de Lima
December 20th 2024
Article

This month’s column evaluates the capability of inductively coupled plasma–mass spectrometry (ICP-MS) to reduce the impact of doubly charged rare-earth element (REE) interferences on the quantitation of the metalloids, arsenic (As), and selenium (Se) in water and biological matrices.

Ep. 31: Clarifying the Meaning of Chemometrics, Artificial Intelligence (AI), Machine Learning (ML), and Neural Networks (NNs)

Ep. 31: Clarifying the Meaning of Chemometrics, Artificial Intelligence (AI), Machine Learning (ML), and Neural Networks (NNs)

December 2nd 2024
Podcast
Site Logo

Advances in Semiconductor Analysis

December 20th 2024
Article
Ep. 30: The Potential of Generative Artificial Intelligence as a Research Assistant for Measurement Science

Ep. 30: The Potential of Generative Artificial Intelligence as a Research Assistant for Measurement Science

November 1st 2024
Podcast
Vol 39 No 8 Spectroscopy November/December 2024 North America PDF

Vol 39 No 8 Spectroscopy November/December 2024 North America PDF

December 19th 2024
Article

Click here to open the Spectroscopy November/December 2024 North America issue, Volume 39, Number 8, in an interactive PDF format.

Two forensic investigators in protective gear examine a crime scene in a dense forest, marking evidence near a body covered with a white sheet, surrounded by lush greenery. Generated with AI. | Image Credit: © Milos - stock.adobe.com

Portable NIR Spectrometers Enhance Flexibility in Forensic Science

Will Wetzel
December 19th 2024
Article

Miniaturized NIR spectrometers are transforming forensic science by enabling rapid, cost-effective, and portable field analysis.