CPSA USA 2015

Getting Medicines to Patients Faster by Eliminating the Bottlenecks in Drug Discovery and Development

Innovator Awards

The CPSA USA Innovator Award provides formal recognition for innovative technologies, products and services presented at the annual meeting.

Past Recipients

2014

Fred Regnier   |   Novilytic Laboratories
Multiple Aliquot Extraction of Blood Plasma

James Murphy   |   Waters Corporation
A New Level of Sensitivity and Standardization: The Promise of Integrated Micro Fluidic Devices Coupled with Mass Spectrometry

Nathan Yates   |   University of Pittsburgh
Description of a Novel Multi-Column / Multi-Dimensional nanoLC-MS/MS Platform for Automated Proteomic Analysis

Donna Hollinshead   |   Prosolia
Rapid Biofluid Analysis by Mass Spectrometry using Paper Spray Technology

2013

First Place
Fred Regnier   |   Novilytic Laboratories
Next Generation Plasma Collection Technology for Clinical and Pharmaceutical Applications

Second Place
Donna Holinshead   |   Silicon Kinetics
NPOI, A Novel Platform for Biomolecular Interaction Analysis and Affinity Capture Mass Spectrometry

Kevin Meyer   |   Perfinity Biosciences
Perfinity Flash Digest

Third Place
Ching Wu   |   Excellims Corporation
HPLC-HPIMS - A 2D Separation Tool

Shane Needham   |   Alturas Analytics
PicoFuze: The Future of Microflow LC-MS/MS, The Column is the Source, the Source is the Column

Joe Siple   |   Drummond Scientific
Rodent Plasma Micro-Sampling Evaluation: Outcomes and Next Steps

2012

Jim Kenney   |   Drummond Scientific
Evaluation of a Microsampling System for Accurately Controlling Dried Blood Spot Volumes

Martin Steel   |   McKinley Scientific
An Interdependent LC/MS/MS Solution for Urine Testing for Detection and Quantification of Drugs of Abuse and Pain Management

Gary Valaskovic   |   New Objective
PicoSlide Multichannel Nanospray: So Easy a Caveman Can Do It!

Ching Wu   |   Excellims Corporation
Rapid Analysis Using High Performance Ion Mobility Spectrometry

Ismael Zamora   |   Lead Molecular Design
Metabolite Identification: From Data to Information and From Information to Knowledge