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LCGC North America
January 16, 2018
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Top 10 Articles from 2017

With the new year now well under way, Spectroscopy's editorial team brings you its annual compilation of 2017's most popular articles.

1. The C‑O Bond, Part I: Introduction and the Infrared Spectroscopy of Alcohols

The number and position of C-O stretches will help us identify functional groups such as alcohols and ethers, and will help us distinguish between members of the same molecular class. read more


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2. Recent Advances in Pharmaceutical Analysis Using Transmission Raman Spectroscopy

Transmission Raman spectroscopy overcomes subsampling limitations of conventional Raman spectroscopy and enables rapid noninvasive volumetric analysis of intact pharmaceutical tablets and capsules in a quantitative manner, making it suitable for process and quality control applications. read more


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FRONT & CENTER - Physical Property Testing: Getting the Right Answer with History and Hundreds of Million Dollars at Stake
Many analytical tools can be used to determine the physical properties of materials such as gas and liquid chromatography, and atomic absorption spectroscopy. However, molecular spectroscopy, both infrared (IR) and Raman, are among the most powerful tools available to the analytical scientist. Learn more


3. What's New in the New USP<1058>?

The new version of United States Pharmacopeia general chapter <1058> “Analytical Instrument Qualification” became effective August 1, 2017. What does this mean for you? read more


4. Why Are the Raman Spectra of Crystalline and Amorphous Solids Different?

This article will help readers understand the underlying physics that affect the Raman spectra of crystalline and amorphous solids. Wave vector, reciprocal space, and the Brillouin zone are explained with respect to Raman spectroscopy of solids. read more


5. Calibration Transfer Chemometrics, Part I: Review of the Subject

Calibration transfer involves multiple strategies and mathematical techniques for applying a single calibration database to two or more instruments. Here, we explain the methods to modify the spectra or regression vectors to correct differences between instruments. read more


6. Our Daily Dose of Poison: A Look at Lead in the Food Supply

How much lead is in our daily lives? We take a look at current research concerning lead in the United States food supply and investigations using ICP-MS into the measurement of high concentrations of lead in food. read more

7. Rapid Surface‑Enhanced Raman Spectroscopy Detection of Low-Dose APIs in Pharmaceutical Drugs

A simple SERS-based method was used to identify low doses of the APIs alprazolam, codeine, oxycodone, and hydrocodone using a handheld Raman spectrometer. read more


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Webinar | The Next Generation of Label Free Imaging
Join us to learn about the Spero-QT® that is bringing label free, video rate hyperspectral imaging modalities to the Materials and Life Sciences. In this talk, we will present on the fundamentals of instrument operation followed by a discussion of several selected application examples including whole-slide quantitative tissue imaging, efficient optimization of plasmonic nano-antennae arrays, multiplexed blood serum testing, and real-time microfluidic chemical reaction monitoring. Learn more


8. Tracking Microplastics in the Environment via FT‑IR Microscopy

Microplastics from clothing, abrasive action on plastics, or engineered microbeads as found in some exfoliating cosmetics are showing up in many environmental systems. FT-IR microscopy is a useful tool in the analysis of microplastics, providing visual information, particle counts, and particle identification. read more


9. ICP‑MS Analysis of Multiple Trace Elements in Industrial Cell Lines

This article demonstrates that a dilute-and-shoot method combined with quadrupole ICP-MS is suitable to accurately analyze trace elements in two industrial cell lines using low sample volumes. read more


10. Combining Broadband Spectra and Machine Learning to Derive Material Properties

With methods such as infrared, Raman, and LIBS, the spectral background contains a wealth of information about material properties of the sample. Now, such information can be derived by artificial intelligence and machine learning algorithms. read more


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