The Atomic Spectroscopy Section of the Society for Applied Spectroscopy (SAS) is seeking nominations for the 2022 SAS Atomic Spectroscopy Student Awards. These awards will be given to undergraduate and graduate students who have excelled in the area of atomic spectroscopy.
Selected students will be required to present their work as an oral presentation at SciX 2022, which will be held in Greater Cincinnati, Kentucky, USA, October 2–7.
The 2022 SAS Atomic Spectroscopy Student Awards will come with travel assistance greater than $500 and a two-year SAS membership after graduation.
To apply or recommend a student, please submit the following materials:
These application documents should be emailed to Derrick Quarles and Ben Manard at atomic.section@s-a-s.org no later than March 1, 2022. Award winners will be notified in April 2022.
Students that submit an application for the award must be current SAS members or register at the time of submission. (Online student membership is $30 USD). Student memberships can be completed online by clicking here, or by phone (+1-301-694-8122).
If you have any questions, please feel free to contact us at: atomic.section@s-a-s.org.
Scientists Unveil Better Mixing Rule for Absorption Spectroscopy of Aerosols and Colloids
June 16th 2025Researchers have introduced a simple yet powerful new rule based on Rayleigh scattering theory that accurately links the absorption behavior of composite media, like aerosols or colloids, to the properties of their nanoparticle constituents.
Short Tutorial: Complex-Valued Chemometrics for Composition Analysis
June 16th 2025In this tutorial, Thomas G. Mayerhöfer and Jürgen Popp introduce complex-valued chemometrics as a more physically grounded alternative to traditional intensity-based spectroscopy measurement methods. By incorporating both the real and imaginary parts of the complex refractive index of a sample, this approach preserves phase information and improves linearity with sample analyte concentration. The result is more robust and interpretable multivariate models, especially in systems affected by nonlinear effects or strong solvent and analyte interactions.