AccuPRO-ID®
Utilizes the combination of MALDI-TOF and Accugenix 16S sequencing, enabling us to provide a reportable ID more than 98% of the time
Accurate classification of unknown bacterial isolates is an essential first step in understanding the impact these organisms have on an environmental monitoring program. Accugenix offers various proprietary methods for bacterial identification including our AccuPRO-ID® proteotypic service, which is an attractive alternative to the genotypic service, AccuGENX-ID™. These branded Accugenix identification services are supported by our relevant, validated and up-to-date industry leading libraries.
AccuPRO-ID® is the first bacterial proteotypic identification service that utilizes matrix-assisted laser desorption/ionization – time of flight (MALDI-TOF) mass spectrometry. For industries that are required to routinely identify microorganisms on a regular basis, the ideal technology is one that is accurate, reproducible, fast and inexpensive. MALDI-TOF technology exhibits all these traits and is less dependent on growth conditions than phenotypic methods, because it primarily analyzes ribosomal proteins, which are constitutively expressed at very high levels. The proteotypic method has proven increased accuracy and reproducibility over phenotypic systems. The analysis of a small amount of sample results in a spectrum based on the ribosomal proteins of the bacteria. The spectra are then compared to a validated database for identification.
The AccuPRO-ID® service is backed up by our gold standard sequencing AccuGENX-ID™. If we are unable to identify your organism by MALDI-TOF, we will sequence it at no additional cost to you. This enables us to guarantee a 98% reportable rate and with only a 2% error.
The MALDI-TOF technology demonstrates a consistent improvement of 30-40% in accuracy over existing phenotypic methods. Plus, it is backed with a validated library based on Accugenix’s experience with genetic testing methods and frequency of occurrence data from over 500,000 microorganisms identified over the past decade.
