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The new Echo® MS System from SCIEX


This ultra-high sample throughput system for Acoustic Ejection Mass Spectrometry (AEMS) from SCIEX provides speed, scale and reproducibility with unyielding data quality. The Echo® MS System leverages industry leading quantitative MS technology to give a greatly sensitive solution which will redefine your current and future high-throughput workflows.

Accelerate your speed of analysis. Analyze up to three samples per second when multiplexing, or 1 sample per second when going well to well.

Accelerate your research. Break through the bottlenecks of conventional LC-MS/MS and go from weeks to days while retaining the precise data you need to make decisions faster.

Unparalleled standards of quantification. Obtain a large capacity for high-throughput screening with steady and precise reproducibility in challenging matrices.

Key features:

  1. Rapid sample analysis using Acoustic Droplet Ejection and Open Port Interface
  2. One sample per second for a single analyte, up to three samples per second in multiplex mode
  3. Highly reproducible sample injection
  4. Very low carryover
  5. Broad compound coverage using electrospray ionization featuring the OptiFlow® Turbo V Ion Source for robust and efficient ionization
  6. Industry proven high sensitivity and quantitative robustness using the SCIEX Triple Quad™ 6500+ LC-MS/MS System
  7. Ease of implementation using SCIEX OS Software
  8. Purpose built for incorporation into HTS workflows; sample plate tray can be accessed by most robotic arms
  9. Open software API for incorporation of platform into existing environments.

The Echo® MS System also has the potential to change drug discovery and the development of precision therapies. With the explore of safe and efficacious drugs, speed of decision making is serious to the discovery process and to identify potential targets to take forward. With the potential to influence the whole workflow from start to finish, including sample prep, data acquisition and processing, this system aims to reduce the timescale to produce data used in key decision making.