Data Analysis

Consider designing the readout first when developing point-of-need assays.

The ageless wisdom, “imitation is the sheerest form of flattery,” once again holds true. Unfortunately in quantitative analysis, imitation comes with real consequences.

There are a plethora of useful software packages available to analytical scientists for processing experimental data and results. At the top of the list – or pretty darn close to the top – is Microsoft Excel. Why?

In some industries, for example, in early-stage pharmaceutical development, it is desirable to measure particle size from a small samples of dry powders. However measuring small quantities risks measuring a sample that is not representative of the bulk material. In this application note, we demonstrate the capability of the Aero S dry dispersion unit and the Mastersizer 3000 to measure small quantities of pharmaceutical materials dosed with large particles and to detect those large, anomalous particles.

How to maximize your chances of success when preparing manuscripts for publication.

This application note discusses the methodology and results for the rheological characterization of Opthalmic Viscosurgical Devices (OVDs) according to the International Standard ISO15798:2013

In this application note, the structural distribution of some common polymers are compared using the Mark-Houwink plot. The data are all generated using the advanced OMNISEC multi-detector GPC/SEC system

This technical note describes the system and explains how OMNISEC sets a new standard in molecular characterization.

Using OMNISEC, we will show how to separate the effects of a structural difference induced by a compositional change to a polymer (e.g. substitution) and the structural change induced by polymer chain branching.

You’ve convinced your boss that your laboratory absolutely needs a shiny new quadrupole-based, inductively coupled plasma mass spectrometry (ICP-MS) system for trace element analysis. Now what?