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Trolex launch Air XS silica monitor

Air XS silica monitor

First real-time respirable crystalline silica detection system set to revolutionize worker safety

TROLEX, one of the leading manufacturers of health and safety technology products for workers operating in hazardous environments, have launched the world’s first real-time detector for silica particulates, the Air XS silica monitor.

With an estimated 600,000 workers exposed to silica dust each year in the UK, Trolex say the Air XS is set to revolutionize worker safety by delivering real-time detection of dangerous respirable crystalline silica (RCS) particulates in airborne dust mixtures – on the job.

Requiring no complicated set-up and only five minutes of maintenance a month, the Air XS silica monitor is easy-to-use and provides accurate monitoring with minimal training.

The Air XS silica monitor displays the presence of RCS mass by volume, while also being able to distinguish the presence of RSC within dust mixtures. In addition, the monitor can track changing concentrations of RCS content over time, letting workers know if the amount of RCS in their workspace is increasing as they work and when it has risen to dangerous levels.

This real-time monitoring will help prevent silicosis-associated diseases caused by RCS inhalation, providing safety and security for workers and businesses. The Air XS allows for programming of on-device exposure limit thresholds and warnings (short-term exposure limits and time-weighted averages) allowing for easy customization of monitoring limits as needed.

Trolex chief executive officer Glyn Pierce-Jones said: ‘This is an exciting product in real-time silica dust monitoring. The Air XS is a global-leading solution to an increasing health problem in many industries.

‘Real-time silica monitoring is the safest and most cost-effective way to promote workers’ health in the industries associated with RCS. The Air XS will substantially reduce the number of surveys needed on site, improve processes, create smart ventilation and extraction systems, and identify inefficiencies.’

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