Cold Chain Monitoring
Research and medical labs need to monitor both the temperature and relative humidity during storage and transportation to help ensure product integrity and to meet stringent regulations.
ACR's portable data loggers can help to significantly improve the accuracy, liability, and quality of cold chain monitoring with the experience and paper trail necessary to provide accountability.
SmartReader, SmartReader Plus and OWL data loggers all employ averaging when a sample rate greater than 8 seconds is used. (JR-1000, TRH-1000 and Nautilus loggers have this option as well). This means that the loggers will take a reading every 8 seconds and, at the end of the selected sample interval, will average these 8 second readings and plot the average at the selected sample interval.
For example, at a 2 minute sample rate, the loggers will read every 8 seconds and, at the end of two minutes, will add up the 15 - 8 second readings and divide by 15 to yield the average and plot that. The process repeats for each 2 minute interval. Using a long sample interval is a good way of getting an average of conditions over an extended period of time. Conversely, setting the sample rate to a quicker frequency will give more instantaneous data because less averaging is used as the loggers store data more frequently. An 8 second sample rate is essentially a spot read every 8 seconds.
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