Spectroscopy Solutions

Water Analysis — Choosing the Best UV/Vis System

Attend this on-demand webinar by Chris Lynch (PerkinElmer) and learn how do you decide the best match for the UV/Vis application being performed. There are a wide range of UV/Vis instruments on the market today with the capability to make water analysis measurements. So this is an important question that needs to be addressed, to make the correct selection to meet your needs now and in the...

Classification of Crude Oils and Pharmaceutical Counterfeits: The Powerful Combination of Vibrational Spectroscopy and Chemometrics

[On-demand webinar] A novel method was developed to predict Long Residue properties as well as Short Residue properties at different flashing temperatures based on the IR spectrum of a crude oil measured at room temperature. The resulting demonstrates that this integrated approach offers a fast and viable alternative for the currently applied elaborative ASTM and IP methods (patented). 

Pharmaceutical Applications of Raman Spectroscopy

This on-demand talk will review applications of Raman spectroscopy in the pharmaceutical industry. The most common application of Raman spectroscopy is raw material identification. We will discuss the benefits, advantages as well as the limitations of Raman spectroscopy for raw material identification and finished product verification.

[Upcoming Webinar] Trusted Advice to Help you Maximize your ICP-OES Instrument Performance and Uptime

Spectroscopy Solutions and Separation Science, in association with Agilent Technologies, offers you a webinar that will provide tips to help ICP-OES users identify and overcome the most common causes of unplanned downtime and inconsistent results. 

Data Integrity Compliance: An Innovative Solution for Molecular Spectroscopy

Shimadzu has produced a technical note describing an innovative solution for ensuring data integrity for spectroscopy systems.

FTIR Spectrophotometers to Simplify Analysis and Provide Outstanding Expandability

Shimadzu has introduced its IRSpirit series of Fourier Transform Infrared (FTIR) spectrophotometers, the IRSpirit-T and IRSpirit-L compact-sized models, designed to simplify analysis and provide outstanding expandability.

NMR Solutions # 4: Protein-Detected NMR-Based Methods

NMR-based screening is a powerful experimental technique that can be exploited by employing either ligand- or receptor-based methods [V. Roldós, F.J. Cañada and J. Jiménez-Barbero, Chembiochem., 12, 990-1005 (2011)]. We have already described several protocols operating from the ligand’s perspective (see previous NMR Solutions). Now, we will illustrate the typical scheme employed when analysing...

2018 Winter Conference on Plasma Spectrochemistry

Plasma Spectrochemistry for Trace Element, Stable Isotope, and Elemental Speciation Analyses

Raman Solutions #4: Validation of Quantitative Raman Methods

This article is the second of a three part series on quantitative prediction using Raman spectroscopy. Method validation is the process of verifying an analytical method is performing as required. Method validation is required in regulated industries and is good scientific practice. United States Pharmacopeia chapters on Near IR spectroscopy and on Raman spectroscopy describe the criteria that...

NMR Solutions #3: The Diffusion Ordered Spectroscopy Technique (DOSY)

The Diffusion Ordered Spectroscopy technique (DOSY) can also be applied to monitor molecular interactions. DOSY is a versatile NMR technique that provides a semiquantitative estimation of the translational diffusion coefficient (D) of a given molecule or mixture of molecules. In fact, the typical representation of DOSY corresponds to a simple 2D spectrum in which one the dimension corresponds to...

New Triple Quadrupole ICP-MS Combines Power and Simplicity

Thermo Scientific iCAP TQ ICP-MS offers advanced interference removal for analyzing challenging matrices while delivering reliable, reproducible data.

Raman Solutions #3: Quantitative Prediction Using Raman Spectroscopy

This article is the first of a three part series on quantitative prediction using Raman spectroscopy. 

     

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