Applications

In this article portable Raman spectroscopy as an effective tool for at-line characterization of carbon black is presented. Raman spectroscopic analysis can be an effective test to characterize carbon black material, including the structural order.

Raman spectroscopy is used for material characterization by analyzing molecular or crystal symmetrical vibrations and rotations that are excited by a laser, and exhibit vibrations specific to the molecular bonds and crystal arrangements in the molecules. Raman technology is a valuable tool in distinguishing different polymorphs. Examples of portable Raman spectroscopy for identification of polymorphs and in monitoring the polymorphic transiton of citric acid and its hydrated form are presented.

Raman spectroscopy is an advantageous analytical tool that allows for the measurement of molecular structure and identifying chemical composition of materials based on the rotational and vibrational modes of a molecule. With advanced technology and an optimized optical design, the B&W Tek BAC102 series E-grade probe can access lower frequency modes down to 65 cm-1, providing key information for applications in protein characterization, polymorph detection, and identification, along with material phase and structure determination.

The NanoRam is able to test material through multiple layers of transparent plastic bags. Postive identification of material on PE bags from 1 to 9 layers were obtained, demonstrating minimum interference from the PE bags on the material identification result.

This article demonstrates the utility of portable Raman spectroscopy as a versatile tool for process analytical technology (PAT) for raw material identification, in-situ monitoring of reactions in developing active pharmaceutical ingredients (APIs), and for real-time process monitoring. Raw material identification is done for verification of starting materials as required by PIC/S and cGMP, and can be readily done with handheld Raman. Portable Raman systems allow users to make measurements to bring process understanding and also provide proof of concept for the Raman measurements to be implemented in pilot plants or large-scale production sites. For known reactions which are repetitively performed or for continuous online process monitoring of reactions, Raman provides a convenient solution for process understanding and the basis for process control.

Urea in widely employed as a nitrogen-release fertilizer with more than 90 % of urea production destined for agricultural applications. Urea is also known to form complexes with fatty acids, which have been employed for separation of complex mixtures and purification processes. In this application note, we present the quantification of the concentration of urea in ethanol by Raman Spectroscopy and show how this method can be employed for determining the percentage of urea in a solid inclusion compound with stearic acid.

A new Raman system design is presented that expands the applicability of Raman to See Through diffusely scattering media such as opaque packaging materials, as well as to measure the Raman spectrum and identify thermolabile, photolabile, or heterogeneous samples.

See through Raman Spectroscopy (STRaman®) is a newly developed technology that expands the capability of Raman spectroscopy to measure samples beneath diffusely scattering packaging material. The STRaman technology features a much larger sampling area than the confocal approach. This design enhances the relative intensity of the signal from the deeper layers, thereby increasing the effective sampling depth, allowing the measurement of material inside visually opaque containers. The larger sampling area has the additional advantage of preventing sample damage by reducing the power density, as well as improving measurement accuracy by eliminating heterogeneous effect.

Ternary mixtures of aqueous sugar solutions are measured and multivariate models of the concentration of analytes developed using BWIQ software.

Although the process of building, validating and using a method is well-defined through software, the robustness of the method is dependent on proper practice of sampling, validation, and method maintenance. In this document, we will detail the recommended practices for using the multivariate method with NanoRam-1064. These practices are recommended for end users who are in the pharmaceutical environment, and can expand to other industries as well. This document aims to serve as a general reference for NanoRam-1064 users who would like to build an SOP for method development, validation and implementation.