Spectroscopy 2018 New Product Review
-For a complimentary listing of your new product in Spectroscopy's annual review of new products, please download and complete the form below. All information will be kept confidential until publication in the May 2017 issue. PLEASE NOTE:-
-
For a complimentary listing of your new product in Spectroscopy's annual review of new products, please download and complete the form below. All information will be kept confidential until publication in the May 2018 issue.
PLEASE NOTE:
- This survey is not limited only to new products that will be introduced at Pittcon 2018. You may submit any product introduced to the market since our 2017 coverage. Products must be new, however. Please do not submit products that have appeared in previous coverage.
- One form per product. Maximum of 5 products per supplier.
- Please avoid marketing hyperbole, and provide just the facts.
Extended deadline: February 22, 2018
Send completed form to: Cindy Delonas at cindy.delonas@ubm.com
Careful consideration will be given to all surveys received. Submitted information will be held in confidence until publication. Final decisions regarding what details are included for publication is based on editorial judgment, reader interest, and available space.
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.
