QSight® 500 LC/MS/MS System
Designed to tackle the challenges faced by environmental testing labs analyzing PFAS and other emerging contaminants, the QSight® 500 LC/MS/MS System provides a robust solution for handling complex matrices. By minimizing sample preparation and enabling direct injection, this advanced system simplifies workflows, reducing the time and effort needed to achieve accurate results.
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Unmatched Robustness
Environmental and Food Safety
QSight 500 LC-MS/MS is equipped with StayClean™ Technology. The instrument has self-cleaning ability. We have robustness test datasets showing no more than a few %RSD of many PFAS signals over 21,700 continuing injections of very dirty food samples. The entire test lasted for almost a year. The sample matrixes include avocado, salmon, tomato mixes, spices and dog/cat food. The sample prep procedure was a “quick and dirty” QuEChERS cleanup procedure. To challenge/torture the instrument, we deliberately removed the final SPE procedure to maximize sample matrix components in the final extracts.
Review Date: 10 Apr 2026 | PerkinElmer
StayClean™ Technology:
- Coaxial Flow Electrospray Design: Prevents ion dispersion for greater sensitivity and efficient sampling.
- Hot-Surface-Induced Desolvation (HSID™): Provides automatic cleaning with a 350°C heated surface and laminar gas flow, ensuring reliable performance across the mass range.
- Laminar Flow Ion Guides™: Eliminates drift and frequent re-optimization, ensuring consistent, high-quality results.
With StayClean™ Technology, you save time, reduce maintenance, and maintain sensitivity—even with the dirtiest samples
Honey authenticity testing using LC‑MS MS with streamlined sample preparation
Explore a fast and reliable method for detecting 3‑methoxytyramine (3‑MT) in honey using the QSight® 500 LC‑MS/MS system from PerkinElmer. The approach uses a simplified Blend‑and‑Inject workflow that eliminates the need for solid‑phase extraction and isotopically labeled standards while maintaining high sensitivity and quantitative reliability. By addressing matrix challenges associated with high sugar content, the method supports efficient, high‑throughput authenticity testing and enables laboratories to detect beet‑sugar adulteration with reduced preparation time, lower costs, and improved operational efficiency.
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