𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry

✍ Scribed by Bing Wang; Steve Valentine; Manolo Plasencia; Sriram Raghuraman; Xiang Zhang

Book ID
114999139
Publisher
BioMed Central
Year
2010
Tongue
English
Weight
741 KB
Volume
11
Category
Article
ISSN
1471-2105

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Peak capacity of ion mobility mass spect
Peak capacity of ion mobility mass spectrometry: the utility of varying drift gas polarizability for the separation of tryptic peptides
✍ Brandon T. Ruotolo; John A. McLean; Kent J. Gillig; David H. Russell πŸ“‚ Article πŸ“… 2004 πŸ› John Wiley and Sons 🌐 English βš– 653 KB

## Abstract Ion mobility mass spectrometry (IM‐MS) peptide mass mapping experiments were performed using a variety of drift gases (He, N~2~, Ar and CH~4~). The drift gases studied cover a range of polarizabilities ((0.2–2.6) Γ— 10^βˆ’24^ cm^3^) and the peak capacities obtained for tryptic peptides in