Integrative -Omics - Major Equipment list

Genomics Equipment


  • Ion Torrent PGM 314: 0.1 Gbase (small panels, bacterial sequencing)
  • Ion Torrent PGM 316: 0.3 Gbase (large panels, multiplexed samples)
  • Ion Torrent PGM 318: 1 Gbase (large panels, multiplexed samples
  • Ion Torrent Proton 1: 10 Gbase (exome, RNA-seq, Chip-seq)


  • Affymetrix GeneChip platform including 7G upgraded 3000 laser scanner, hybridization oven, and two fluidics stations


  • ABI 7500 Sequence Detection System

Sample quality control:

  • Agilent Bioanalyzer 2100 system
  • Nanodrop 2000 Spectrophotometer
  • Qubit 3.0 fluorimeter

Proteomics Equipment:

  • Q Exactive Plus (Thermo); 2016 University of Arizona purchase; Dionex Nano- HPLC, nanoESI source (Thermo), HCD, Deep and Greater Proteomic Profiling
  • Q Exactive Plus (Thermo); 2016 University of Arizona purchase; Dionex Vantage HPLC, ESI source (Thermo), HCD, Lipid analysis
  • LTQ Orbitrap Velos (Thermo); 2009 NIH NCRR HEI; Proxeon Nano- HPLC, ESI source (Advion), CID, ETD; Proteomic Profiling, PTM identification
  • 9.4t solariX 2XR FTMS (Bruker); 2018 University of Arizona purchase HEI; ESI, nano-ESI, MALDI; CID, ECD, ETD, SORI, IRMPD; high-resolution MS
  • AmaZon 3D Ion Trap (Bruker); 2016 University of Arizona purchase; small molecule rapid MS analysis
  • Autoflex Speed MALDI-TOF (Bruker); 2016 University of Arizona purchase; high throughput MS measurements of polymers, and whole proteins
  • Gel separation and analyses: 1D and 2D gel stations.
  • Off-line LC separation: AKTA FPLC; Michrom Paradigm LC
  • Orbitrap Exploris 480 (Thermo couple with Vanquish Duo HPLC and UHPLC System: 2020 University of Arizona purchase; Next Generation advanced high resolution accurate mass Quadrupole-Orbitrap MS – high performance and throughput for metabolite and lipid analysis.
  • Shimadzu UHPLC-MS; analytical system
  • Shimadzu LCMS; prep purification system
  • Shimadzu GCMS
  • Michrom BioResources, Fraction Collector

Arizona Laboratory for Emerging Contaminants Resource (ALEC)

This resource leverages ALEC, an existing core analytical facility at UA, which is dedicated to providing the analytical capabilities and technical expertise required to detect and quantify small contaminant molecules (organic and inorganic) in complex matrices including biological fluids, tissue, water, air, soil, sediment, and biomass.

Laboratory instrumentation in ALEC is maintained by a combination of funding sources including NSF, NIH, DoE, and the State of Arizona. Principal methods involve off-line or on-line separations followed by mass spectrometric detection. Instruments found in ALEC include:

Inductively Coupled Plasma Mass Spectrometers (ICP-MS)
Liquid Chromatography Tandem Mass Spectrometers (LC-MS/MS)
Gas Chromatography Tandem Mass Spectrometer (GC-MS/MS)
UV-Vis/Fluorescence Spectrophotometer
Size Exclusion Chromatography/Asymmetric Field Flow Fractionation-Multi-angle Light Scattering (SEC/AFFF-MALS)
X-ray Fluorescence (XRF) Spectrometry
CNS Analyzer
Ion Chromatography
Carbon/Nitrogen Analyzer
Sample prep equipment - Solid Phase Extraction Workstation, Microwave Digestion
For additional information about ALEC, see the lab website at


Complex chemical analysis is best begun with a conversation about the researcher's specific needs. This allows our expertise to consider the intricacies of the project and to suggest the most appropriate steps. Working with us before submitting your samples ensures the best possible research outcomes.

For a consultation, please contact the ALEC Director, Jon Chorover, PhD, by calling (520) 626-5635 or click here to send him an email


The ALEC Resource is Directed by Jon Chorover, PhD, and includes two full-time research scientists dedicated to assisting SWEHSC researchers to access the full range of analytical capabilities. Leif Abrell, PhD, oversees organic mass spectrometric analyses (LC-MS/MS, GC-MS/MS, LC-QToF-MS), whereas Mary Kay Amistadi, MS, is in charge of inorganic mass spectrometry (ICP-MS, LC-ICP-MS). These individuals train frequent users or perform analyses on a cost-recovery basis.