Global Minimum Transparency Standard (GMTS)for hazardous chemicals in products

whitePaper | April 12, 2021

Today’s industries face mounting challenges in assuring the best operational performance of assets, both mechanical and process. Managing asset performance is the key element of controlling the operational risk that varying situations can present.

whitePaper | June 22, 2022

California’s electricity system is undergoing rapid transformation on the pathway to 100% renewable power, with the expected high penetration of renewables, electrification of buildings and transportation, and deployment of behind-the-meter (BTM) distributed energy resources (DERs).

whitePaper | December 21, 2022

Over the past two years, the world has been reeling from the shock of the pandemic, and we are now collectively trying to navigate to our “next normal.” Those of us on the Tech Trends team believe that this represents the opportunity to engineer a better future—not to just.

whitePaper | June 19, 2022

Presence of fractures in hydrocarbon reservoirs immensely adds to the complexities of such reservoirs.

whitePaper | August 26, 2022

safe storage, handling, and transportation of reactive chemicals is challenging. Characterization of both desired and undesired chemistries requires a variety

whitePaper | April 30, 2021

At the height of the first wave of the COVID-19 pandemic, consumers around the world experienced a supply shortage related to alcohol-based hand sanitizer. As new producers entered the market, and existing manufacturers sought to ramp-up production to meet the growing demand, lower grades of ethanol and isopropanol (IPA) started to appear on the market. To ensure the safety and efficacy of hand sanitizer products, it is recommended that manufacturers test their products to ensure appropriate levels of active ingredients, as well as a means of ensuring label-claim accuracy. In this application note, an efficient and simple, “dilute and shoot” method for the analysis of IPA and ethanol in hand sanitizer products is detailed. With a run-time of only 5.36 minutes per sample, this method is ideal for operations requiring fast turnaround times that won’t disrupt the production of their products.