Maintain the integrity of your samples and add remote sampling capabilities to your laboratory with support for fiber optic probes. Thermo Scientific™ Evolution™ Fiber Optic Couplers, for use with the Thermo Scientific™ Evolution™ Spectrophotometers, allow you to measure your samples with one of our fiber optic probes or with any third-party probe equipped with standard SMA connectors. The probe brings the light to any sample container, so you don't waste time bringing the sample to the instrument in a cuvette or test tube.
Fiber Optic Probes allow you to measure your sample in its container without requiring transfer of the sample to a cuvette and insertion of the cuvette into the sample compartment of the spectrophotometer.
Advantages of the Evolution One/One Plus Integrated Fiber Optics Module
- Reduced optical component count reduces signal loss at optical surfaces compared to passive fiber optic coupler designs
- Integrated detector maximizes light capture, improving signal strength
- Maximizing the energy throughput of the system (the signal) delivers improved dynamic range and signal-to-noise ratio, giving you more flexibility to measure a wide range of concentration and more stable readings
Advantages of fiber optic probe measurements
- Increase sample throughput in your laboratory
- Make at-line QC measurements more easily
- Reduce handling steps with hazardous samples
- Measure small volumes in PCR tubes with the Fiber Optic Microprobe
- Measure inside an inert-atmosphere box without putting the spectrophotometer inside the box
Limitations when working with Fiber Optic Probes
- Light losses in the probe coupler, fibers and the probe itself reduce the dynamic range of the instrument compared to measurements in cuvettes
- Although probes are designed to minimize the impact of room light, data recorded with fiber-optic probes will include a level of noise from room light that is not present when measuring in a closed, dark sample compartment. An increased level of noise from measurement to measurement is to be expected, but can be managed by use of longer integration times for each data point.