Application Notes: General

The optimal pathlength for an on-line FT-NIR process measurement needs to be determined by experimentation. Here we demonstrate the feasibility of measuring water in acetone by NIR spectroscopy at various pathlengths using an adjustable Spyder™ process flow cell, as a prelude to full-scale implementation of NIR process analysis on a production line.

HORIBA micro-XRF performs 2 applications for PEMFC catalyst research: Pt catalyst uniformity imaging and Pt catalyst loading mass determination on average.

Explore the newly updated 2024 Specac product portfolio, expanded with innovative solutions following our Harrick acquisition. This comprehensive guide covers advanced offerings in FTIR sampling, ATR, liquid and gas transmission, microsampling, as well as newly added catalyst and specular reflection applications. Discover the perfect solution for your needs in process analytical technologies, hydraulic presses, and infrared polarizers.

The Agilent Cary 60 UV-Vis spectrophotometer is the new, improved successor to the award-winning Cary 50 UV-Vis. In this short review, this instrument platform was evaluated for its potential to measure small (40 µL) samples of methylene blue in situ during exposure to high-intensity UV irradiation. Methylene blue is combined with other compounds used in a variety of applications, including use in cosmetics and sun screen products and environmental remediation in contaminated air and polluted water.

This study demonstrates the through-opaque-container analysis capability of the Agilent Vaya handheld Raman spectrometer by performing measurements on a range of common excipients and active ingredients within blue barrels. Spatially offset Raman spectroscopy (SORS) is the unique Agilent technology that is the basis of the unique Vaya container subtraction algorithm. This technology can optimize the spectra to provide the clearest signature of contents with the minimum amount of container interference. Verification of raw materials directly through plastic barrels provides efficient raw material identification (RMID) workflows in the warehouse without the need for specialized personnel or controlled sampling environments.

Handheld Raman spectrometers can distinguish raw materials through transparent and opaque packaging containers. This application note demonstrates the use of the handheld Agilent Vaya Raman raw material identity verification system based on spatially offset Raman spectroscopy (SORS) for chemical ID verification and testing of mRNA lipid nanoparticle (LNP) components through transparent glass and white opaque polyethylene containers.

Over 85% of scientific organizations have incorporated environmental sustainability into their long term goals and commitments. Agilent helps scientists reach their sustainability goals without compromising results or productivity, with products developed with the environment in mind. The Accountability, Consistency, and Transparency Label (ACT label) helps to communicate the environmental impact of manufacturing, operation, and disposal of scientific products and packaging, helping scientists make green equipment decisions. Agilent Vaya handheld Raman spectrometers are ACT Label certified and enable zero-waste workflows, offering a green choice for raw material identification workflows.

Magnesium, calcium, or zinc stearates are commonly used in pharmaceutical drug manufacturing. While these metal stearates exhibit similar chemical properties, they are not necessarily interchangeable in manufacturing processes. It is critical therefore that they are identified and differentiated at receipt in the warehouse to avoid process disruptions. Accurately differentiating stearate analogs at receipt by Raman spectroscopy has historically been challenging. Given the similarities of the spectra of the compounds, sophisticated chemometric software is often needed to build stearate models that are then used to identify them. This study shows that the Agilent Vaya handheld Raman spectrometer with Spatially Offset Raman Spectroscopy (SORS) can identify metal stearates in their original primary packaging, without the need for complex chemometric software packages. The handheld Vaya Raman enables the selective verification of stearates using a two-criteria decision algorithm combined with the "Analogous Sample" software feature.

Raman spectroscopy is a rapidly expanding field, with modern Raman spectrometers offering labs higher ease of use and sensitivity. Furthermore, combining Raman spectroscopy with scanning electron microscopy (SEM) and fluorescence-lifetime imaging microscopy (FLIM) can enhance the technique for various applications.