Logo Image
|Videos|October 20, 2020

Ways to avoid, automate or recover from common ICP-OES problems

Let’s face it, having to remeasure samples is really annoying. Even just trawling through hundreds of results to find the problematic ones is painful. And then there’s the cleaning and parts replacement you are required to do. To help you out, we’ve added smarts to our instruments. Then we got our ICP-OES chemists to make six short videos while they were at home in isolation. The videos show how the instrument smarts can be used to reduce the boring bits of ICP-OES. Enjoy!

Related to this article

View more
Brandon E. Boor is the Dr. Margery E. Hoffman Associate Professor in the Lyles School of Civil and Construction Engineering at Purdue University. | Photo Credit: © Brandon Boor.
How to Monitor Indoor Air Quality Effectively
In the second part of our interview with Brandon Boor of Purdue University, he discusses how his team controls experimental variables during cleaning experiments in order to obtain interpretable data.
Read more
Scientist With Portable Spectrometer in Natural Field Setting © By Tika -chronicles-stock.adobe.com
Vanishing Spectrometers: How Near-Infrared Instrumentation Got Small, Smart, and Everywhere
The bulky bench-top NIR spectrometer is quietly being dismantled and rebuilt as a wafer-scale photonic chip, a self-calibrating algorithm, and a sensor small enough to ride in a shirt pocket. What once demanded a grating, a moving mirror, and a climate-controlled lab now fits inside a handheld module, a bioreactor probe, or a drone payload, and it increasingly figures out what it is looking at on its own.
Read more
Sizing Up the Nanoscale: Measuring Nanocluster Aerosol in Indoor Air
Sizing Up the Nanoscale: Measuring Nanocluster Aerosol in Indoor Air
In the first part of a multi-part Q&A, Brandon Boor, the Dr. Margery E. Hoffman Associate Professor in the Lyles School of Civil and Construction Engineering at Purdue University, describes the instrumentation and methodology behind measuring nanoparticle size distributions at the nanocluster scale (1–3 nm) and outlines the technical challenges of acquiring reliable, real-time data at these dimensions.
Read more