RFM330-M / RFM340-M Digital refractometers, with Peltier temperature regulation

RFM300-T Series refractometers are designed specifically for use in harsh environments. Incorporating wide beam optics, RFM300-T Series refractometers are capable of measuring non-homogenous samples such as fruit juice with pulp, opaque chemical compounds and emulsions that are normally difficult to read with optical refractometers or those digital refractometers that do not address the need to measure “difficult samples.” The instrument’s case is ergonomically designed so that any spills are dealt with by the sloping shape of the case or by the PEEK spill barrier that surrounds the shallow, easy-clean stainless steel prism dish.

With a durable membrane made from chemical and scratch resistant polyester, the RFM300-M offers a more tactile approach, allowing users to navigate menus at the touch of a button. The large, clear buttons and 4” high resolution screen help facilitate operation in factory environments, and combined with our latest GUI, help the operator quickly manoeuvre through the menus. On-screen prompts support simple operation such as Method loading, calibration and routine maintenance.

RFID swipe technology comes as standard, providing clearance and a log of operator and configuration functions – especially useful when being used in FDA-regulated environments operating in accordance with 21 CFR Part 11, or where good practice is adopted, e.g. as part of HACCP. 

Measurements with the RFM300-M are made through a familiar measuring mode or by way of a simple Methods system with one-touch configuration of scale, temperature and data storage, with up to 8,000 results being saved alongside pre-set limits that can be used as an audit tool. Methods may be user-defined or selected from the on-board library.

Features:

• High-resolution 4" display with robust push-button keypad
• Flat prism surface for easy cleaning
• Wide beam scan for non-homogeneous samples
• Brix precision to three decimal digits 
• RFID user approval
• Automatic sample recognition