Official Performance Verification Standards for CloudSpec™ The CloudSpec™ SST (System Suitability Test) Standard is the original performance verification standard designed to support routine verification of CloudSpec™ instrument performance between recalibrations. Optimised for CloudSpec™ Scatter Free Absorption UV/Vis spectroscopy, the SST Standard helps users confirm consistent instrument operation during daily use and provides confidence in ongoing measurements. Each kit provides sufficient material for 20 days, supplied in single-use vials to minimise cross-contamination and ensuring consistent daily results. Each order includes a Certificate of Analysis (COA) and Safety Data Sheet (SDS). A CloudSpec™ instrument is expected to require 1 SST test daily. Usage Daily, prior to analysis Storage Store in Dark between 4–20 °C Expiry 4 months Pricing Supply Duration Pack Size Price (€) Shipping Schedule 1 month 20 single use vials €380 1 shipment 3 month 60 single use vials €1,050 1 shipment 6 month 120 single use vials €1,800 1 shipment or ships every 3 months 12 month 240 single use vials €3,360 1 shipment or ships every 3 months FAQ Why do I need the CloudSpec™ SST Standard? CloudSpec™ instruments require routine performance verification between recalibration events to ensure consistent and stable operation. The SST Standard provides defined reference measurements that confirm the instrument remains within its expected operating performance. Without regular system suitability testing, undetected performance changes may impact measurement reliability over time. How does the SST Standard work? The SST Standard has a well-defined absorbance spectrum. When measured, the CloudSpec™ software compares the observed absorbance profile against expected values. If the result falls within predefined limits, the instrument is confirmed to be operating correctly. How does the SST Standard fit into my process? The SST Standard is typically used daily before sample analysis to: Confirm stable instrument operation Provide confidence in ongoing measurements Identify potential performance issues early
