New Product Review Template
-
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 2016 issue.
PLEASE NOTE:
- This survey is not limited only to new products that will be introduced at Pittcon 2016. You may submit any product introduced to the market since our 2014 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.
DEADLINE EXTENDED!
Submission deadline: January 22, 2016
Send completed form to: Cindy Delonas at cdelonas@advanstar.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.
Newsletter
Get essential updates on the latest spectroscopy technologies, regulatory standards, and best practices—subscribe today to Spectroscopy.
Rapid Sweetener Detection Achieved Through Raman Spectroscopy and Machine Learning
July 10th 2025Researchers at Heilongjiang University have developed a rapid and accurate method for detecting sweeteners in food using Raman spectroscopy combined with a Random Forest machine learning algorithm, offering a powerful tool for improving food safety.
