Building a global analysis service
Technology
Learn more about our technology from controlling the nano-scale to cloud computing and how we use it to upgrade UV-Vis spectroscopy.
Founded in 2015, cphnano is a Danish Labtech company that develops digital laboratory analysis and diagnostics.
Labtech is one of the most critical stack of technologies right now with COVID-19, environmental challenges and a growing world population that wants to be healthy and safe. For this to happen, the laboratory instrumentation needs to be at the forefront of the technology development. We work with upgrading UV-Vis spectroscopy for the Smart Lab of the Future, including optical simulations of the instrumentation for better chemical and biological characterisation and ground-breaking nanotechnology for Life Science studies.
A bit more specific, we have developed digital cloud solutions that can do advanced optical computations in 5 seconds and new types of cuvettes with nanotechnology that allows for 500 nL measurements with any spectrophotometer. With the new SpectroWorks™ 1.0, existing spectrophotometers already running analysis today is upgraded to compute results not previously available by absorbance spectroscopy. Existing hardware can now stay relevant longer by software upgrades over the air.
The core nanotechnology behind our products has been refined over more than a decade of research and development at The Technical University of Denmark (DTU) and by us. Today, our technology stack spans from controlling the nano-scale to cloud computing:
Literature
The core nanotechnology is well described in literature and cphnano is a spin-out from Professor A. Kristensens group at the Department of Nanotechnology, Technical University of Denmark. Peer-reviewed publications on the underlying technology and applications can be found here:| Figure | Title | Citation | DOI Link | |
|---|---|---|---|---|
 | Label-free monitoring of diffusion in microfluidics | Sørensen, K. T., & Kristensen, A. (2017). Micromachines, 8(11), [329]. | https://doi.org/10.3390/mi8110329 | DTU Orbit |
 | All-polymer photonic crystal slab sensor | Hermannsson, P. G., Sørensen, K. T., Vannahme, C., Smith, C., Klein, J. J., Russew, M-M., … Kristensen, A. (2015). Optics Express, 23(13), 16529-16539. | https://doi.org/10.1364/OE.23.016529 | DTU Orbit |
 | High frame rate multi-resonance imaging refractometry with distributed feedback dye laser sensor | Vannahme, C., Dufva, M., & Kristensen, A. (2015), Light: Science & Applications, 4(4), [e269]. | https://doi.org/10.1038/lsa.2015.42 | DTU Orbit |
 | Refractive index dispersion sensing using an array of photonic crystal resonant reflectors | Hermannsson, P. G., Vannahme, C., Smith, C., Sørensen, K. T., & Kristensen, A. (2015). Applied Physics Letters, 107(6), [061101]. | https://doi.org/10.1063/1.4928548 | DTU Orbit |
 | Refractometric monitoring of dissolution and fluid flow with distributed feedback dye laser sensor | Vannahme, C., Sørensen, K. T., Gade, C., Dufva, M., & Kristensen, A. (2015). Optics Express, 23(5), 6562-6568. | https://doi.org/10.1364/OE.23.006562 | DTU Orbit |
| - | Absolute analytical prediction of photonic crystal guided mode resonance wavelengths | P. G. Hermannsson, C. Vannahme, C. L. C. Smith, & A. Kristensen. Appl. Phys. Lett. 105, 071103 (2014). | https://doi.org/10.1063/1.4893664 | - |
| - | Accurate wavelength prediction of photonic crystal resonant reflection and applications in refractive index measurement | P. G. Hermannsson, C. Vannahme, C. L. C. Smith & A. Kristensen. Sensors IEEE, (2014). | https://doi.org/10.1109/ICSENS.2014.6985274 | - |
Research projects
This contains an overview of our research projects.| Acronym | Project name | Funding Body | Program | Grant Date | Case number | Description | Partners | Total budget size (DKK) |
|---|---|---|---|---|---|---|---|---|
| NanoSaaS | Development of optical model for light scattering quantification of impurities, particles and biological cells in liquid samples based on NanoCuvette™ S | Innovation Fund Denmark | Innobooster | 2020-07-09 | 0173-00051A | Develops a state-of-the-art SaaS platform able to identify and optimise multi- parametrical variability (sample, batch and hardware, giving the most accurate laboratory analysis results in a record time of ~5sec – all for a tenth of the current standard market price per measurement. | Particle Analytical, DFM, OpGo | 2,997,500.00 |
| NanoMeas | AI for improving lab-on-a-chip nanoparticle measurements | Eureka network | AI&QT 2019 | 2019-10-28 | 9157-00004B | AI optimised light diffraction analysis of nanoparticles flowing in a lab-on-a-chip sensor will be developed for extraction of the particle morphology, particle, size distribution and the chemical footprint of the nanoparticles. | DFM, INMOLD, CIDENTEC | 6,600,000.00 |
| NanoCuvette | NanoCuvette™ series for laboratories and production control | Innovation Fund Denmark | Innobooster | 2017-04-04 | 7040-00180B | The cphnano manufacturing processes are matured for the production of laboratory products. | 1,498,500.00 |
