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E-mail
ehu@process-insights.com
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Phone
18151961673
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Address
No. 258 Yihe Road, Wujiang Economic Development Zone
Luoyinsi Analytical Instrument (Suzhou) Co., Ltd
ehu@process-insights.com
18151961673
No. 258 Yihe Road, Wujiang Economic Development Zone
Tiger Optics_Spark-H2O Trace Water Analyzer
Easy to operate and powerful in performanceTiger Optics_Spark_H2OCan be achieved:
Powerful and reliable cavity ring down spectroscopy (CRDS) technology
Fast response and low gas consumption
● Automatic optimization and calibration
The H20 analysis range is extremely wide: 12 ppb to 2000 ppm(nitrogen(Middle)
Extremely low usage cost
By configuring the powerful Speed+function, the instrument performance can be further upgraded with an intelligent dynamic data processing system that maintains low noise while significantly improving the response time of the analyzer.
Ethernet, 4-20 mA, and RS-232 connections
Tiger Optics' advanced CRDS gas analyzer serves many high-purity gas applications with extremely low operating costs and performance, including filling and quality inspection of gas cylinders and gas tankers, as well as gas production in welding, medical, industrial, and other fields. Say goodbye to traditional analytical techniques that are cumbersome, complex, expensive, and require frequent maintenance. Tiger Optics' Spark analyzer requires no calibration or spare parts, has an extremely wide measurement range, and there is no need to worry about drift or unnecessary downtime. Make using the analyzer simple and efficient.
Tiger Optics is the original manufacturer of CRDS analyzers headquartered in the United States, serving users for nearly 20 years.
From monitoring trace amounts of moisture in semiconductor gases according to the SEMI F112 standard, to quickly and easily monitoring the filling process of gas tankers, and analyzing gases produced in air separation units, the ease of use and performance of CRDS combine to make Tiger Optics analyzers an ideal solution for various applications. Quickly discover the powerful features of CRDS through Spark!






