optiQGain introduces an affordable, real-time, lightweight & on-site system for high resolution molecular level analysis
The proposed unique solution is based on an innovative, general purpose SRS
(Stimulated Raman Scattering) spectrophotometer module, capable of generating a high resolution Raman spectrum in 0.1 second. The device directly illuminates samples with laser beams and by analyzing the emitted laser radiation provides real-time detection and concentration of intended target molecules; the system supports sampling multiple targets simultaneously.
Stimulated Raman Scattering (SRS) Spectroscopy – based on the Raman phenomenon. Most metabolites possess a unique “Raman-fingerprint” which can be used for their specific, accurate detection and concentration measurements. Spontaneous Raman detection is used in the industry for over 20 years (hampered by long acquisition time and low sensitivity). In SRS, two laser beams illuminate a sample providing amplification at the vibrational transition rate, increasing the Raman signal by several orders of magnitude.
For more information on SRS and SRS capabilities, see publication by X. Sunney Xie (Harvard University) in Science journal vol. 322 Dec. 2008
Low cost SRS Spectrophotometer: due to large size and very high manufacturing costs, SRS is currently used in academics and has not yet been implemented in the industry. optiQGain introduces an innovative, small size, low cost SRS spectrophotometer (patent pending) while maintaining high resolution performances. This is achieved by a totally new approach to the SRS implementation – a design of a system based on re-configuration of off-the-shelf electro-optic components, while compensating for components impairments by applying DSP algorithms to the received signals.
Combining SRS module with a pre-concentration & separation unit – enables detection of trace quantities (nano & pico grams) and provides a key tool for on-line direct analysis in medical, food & beverage and environmental industries
This project has received funding from the European Union Horizon 2020 research and innovation programme under grant agreement No. 859111.