Short Courses
Short Courses
October 2011
31 Advanced Impedance Spectroscopy for Fuel Cells (Electrochemical Society sponsored short course at the Fuel Cell Seminar)
Orlando, FL
www.che.ufl.edu/orazem/Short_Courses.htm.
November 2011
14 High-Throughput Drug Analysis by LC–MS
Somerset, NJ
14 Hands-on FTIR, NIR and Data Analysis — What Is the Right Tool to Solve Your Problem
Somerset, NJ
14 Introduction to Metabolomics
Somerset, NJ
14 Introduction to Near-Infrared Spectroscopy: Applications in the Pharmaceutical and Biotech Industries
Somerset, NJ
14 Interpretation of Mass Spectra with Practical Solutions to Problems
Somerset, NJ
14Practical Introduction to Raman Spectroscopy
Somerset, NJ
14 Impurity and Degradant Identification: Strategies for Structure Elucidation via Chromatography, MS, and NMR
Somerset, NJ
14–15 LC–MS: Theory, Instruments, and Applications
Somerset, NJ
14–15 Interpretation of Mass Spectra with Practical Solutions to Problems
Somerset, NJ
14–15 Infrared (IR) Spectral Interpretation I & II
Somerset, NJ
17 Practical Introduction to Raman Spectroscopy
Somerset, NJ
March 2012
12 Introduction to Inductively Coupled Plasma Atomic Emission Spectrometry
Orlando, FL
12 Side Illuminated Optical Fiber Sensor with a High Density of Sensing Points
Orlando, FL
13 Fundamentals of Particle Size Analysis with an Emphasis on Light Scattering Techniques
Orlando, FL
Best of the Week: SciX Award Interviews, Tip-Enhanced Raman Scattering
June 13th 2025Top articles published this week include an interview about aromatic–metal interactions, a tutorial article about the recent advancements in tip-enhanced Raman spectroscopy (TERS), and a news article about using shortwave and near-infrared (SWIR/NIR) spectral imaging in cultural heritage applications.
Hyperspectral Imaging for Walnut Quality Assessment and Shelf-Life Classification
June 12th 2025Researchers from Hebei University and Hebei University of Engineering have developed a hyperspectral imaging method combined with data fusion and machine learning to accurately and non-destructively assess walnut quality and classify storage periods.
