Thermo Fisher Scientific


Using Multivariate Curve Resolution to Identify the Evolved Gases Created During a TGA-IR Experiment

September 01, 2014

Thermal decomposition provides valuable information about the chemical composition of a material. Although thermal gravimetric analysis (TGA) measures small weight losses during a heating ramp, it cannot identify the chemicals corresponding to the weight loss.

FT-IR Contaminant Identification Using OMNIC? Specta Software

September 01, 2012

Identifying contaminants in materials is a common troubleshooting need for which FT-IR spectroscopy is ideally suited. Thermo Scientific OMNIC Specta software provides a unique and powerful tool to assist the analyst to quickly identify unexpected constituents. The OMNIC? Specta? Contaminant Search feature allows for rapid investigations that can save time and minimize the impact of product issues.

IC–ICP–MS Speciation Analysis of As in Apple Juice

February 01, 2012

In this study, apple juice samples are analyzed by IC–ICP–MS to determine the concentration of six arsenic species: the two inorganic, and highly toxic, species (As (V) and As [III]) and four organic species (arsenobetaine [AsB], arsenocholine [AsC], monomethylarsonic acid [MMA], and dimethylarsinic acid [DMA]).

Enhanced Sensitivity to Detect Phthalates by FT-IR Analysis

September 01, 2011

Recent evidence that the phthalate plasticizers may cause health problems, particularly in children, has resulted in many countries prohibiting the use of phthalates in toys and clothing. The United States Child Safety Law actually prohibits the presence of several phthalate compounds at levels exceeding 0.1 wt % even though the commercial levels are often greater than 10%. While ATR spectroscopy works well for identifying phthalates at commercial levels, a more sensitive technique is required to detect trace levels.

Raman Confocal Analysis of an Inclusion in Sapphire

September 01, 2009

One of the most powerful aspects of Raman microscopy is the capability to do confocal analysis of features inside of a sample without having to prepare or damage the sample to get the important spectral information.

Progress in the Development of ICP

March 01, 2008