RapidVap vacuum concentration systems combine vacuum, controlled heating, and vortex mixing for fast and efficient sample preparation in pharmaceutical, agricultural, and environmental laboratories.
Organomation PICO Nitrogen Generator
The Organomation PICO delivers flexible nitrogen generation with adjustable purity, integrated storage, and real-time monitoring.
Organomation MAXI Nitrogen Generator
The Organomation MAXI delivers high-capacity nitrogen generation with PSA technology, real-time monitoring, and scalable industrial performance.
Organomation FLO Nitrogen Generator
The Organomation FLO provides adjustable nitrogen purity with integrated storage, real-time monitoring, and PSA technology for flexible lab applications.
Organomation NITRO Nitrogen Generator
The Organomation NITRO 35/70 delivers up to 70 L/min nitrogen with 99.99% purity, PSA technology, remote monitoring, and integrated storage.
Organomation NiGen Micro Nitrogen Generator
The Organomation NiGen Micro delivers up to 4 L/min nitrogen with 99.5% purity, PSA technology, and scalable modular configuration.
Organomation HG 2200 R Hydrogen Generator
The Organomation HG 2200 R delivers up to 200 mL/min hydrogen with >99.999% purity, low noise, and easy maintenance for THC analyzers.
Organomation H Series Hydrogen Generator
The H Series Hydrogen Generator delivers up to 600 mL/min hydrogen with 99.9999% purity, advanced safety features, and scalable modular design.
Organomation 30 Position MULTIVAP Nitrogen Evaporator
The MULTIVAP 30 Position enables high-throughput evaporation of up to 30 samples with a heated dry block, efficient gas control, and custom inserts.
Organomation 9 Position MULTIVAP Nitrogen Evaporator
The MULTIVAP 9 Position enables rapid evaporation of large-volume samples using a high-temperature dry block and efficient row-based nitrogen control.
Related content
Water in GC: Safe or Risky? Here’s What You Need to Know
Th, 14.5.2026
Phenomenex
News from LabRulezGCMS Library - Week 20, 2026
We, 13.5.2026
LabRulez
One-shot tensor decomposition of full-scale GC×GC-VUV datasets for resolving petrochemical groups (Paul-Albert Schneide, MDCW 2026)