People | Locations | Statistics |
---|---|---|
Naji, M. |
| |
Motta, Antonella |
| |
Aletan, Dirar |
| |
Mohamed, Tarek |
| |
Ertürk, Emre |
| |
Taccardi, Nicola |
| |
Kononenko, Denys |
| |
Petrov, R. H. | Madrid |
|
Alshaaer, Mazen | Brussels |
|
Bih, L. |
| |
Casati, R. |
| |
Muller, Hermance |
| |
Kočí, Jan | Prague |
|
Šuljagić, Marija |
| |
Kalteremidou, Kalliopi-Artemi | Brussels |
|
Azam, Siraj |
| |
Ospanova, Alyiya |
| |
Blanpain, Bart |
| |
Ali, M. A. |
| |
Popa, V. |
| |
Rančić, M. |
| |
Ollier, Nadège |
| |
Azevedo, Nuno Monteiro |
| |
Landes, Michael |
| |
Rignanese, Gian-Marco |
|
Van Erps, Jurgen
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (21/21 displayed)
- 2023VCSEL wavelength tunability using controlled mechanical strain
- 2021Increasing the Microfabrication Performance of Synthetic Hydrogel Precursors through Molecular Designcitations
- 20203D direct laser writing of microstructured optical fiber tapers on single-mode fibers for mode-field conversioncitations
- 2018Ultrathin Poly-DL-Lactic Membranes for Corneal Endothelial Transplantation
- 2018Localized optical- quality doping of graphene on silicon waveguides through a TFSA- containing polymer matrixcitations
- 2016Replication of self-centering optical fiber alignment structures using hot embossingcitations
- 2016Hot-embossing replication of self-centering optical fiber alignment structures prototyped by deep proton writingcitations
- 2016Deep proton writing with 12 MeV protons for rapid prototyping of microstructures in polymethylmethacrylatecitations
- 2016Optofluidic multi-measurement system for the online monitoring of lubricant oilcitations
- 2016Design and prototyping of self-centering optical single-mode fiber alignment structurescitations
- 2015Mould insert fabrication of a single-mode fibre connector alignment structure optimized by justified partial metallizationcitations
- 2013Low-coherence interferometry with polynomial interpolation on Compute Unified Device Architectur-enabled graphics processing units
- 2013Gloss, hydrophobicity and surface texture of papers with organic nanoparticle coatings
- 2013B-Calm: An open-source multi-GPU-based 3D-FDTD with multi-pole dispersion for plasmonics
- 2010Populating multi-fiber fiberoptic connectors using an interferometric measurement of fiber tip position and facet quality
- 2010Design and fabrication of embedded micro-mirror inserts for out-of-plane coupling in PCB-level optical interconnects
- 2008Hot embossing of microoptical components prototyped by deep proton writing
- 2008Embedded Micro-Mirror inserts for optical printed circuit boards
- 2008Deep Proton Writing: A tool for rapid prototyping of polymer micro-opto-mechanical modules
- 2007Deep Proton Writing: A tool for rapid prototyping polymer micro-opto-mechanical modules
- 2006Laser Ablation of Parallel Optical Interconnect Waveguides
Places of action
Organizations | Location | People |
---|
article
Optofluidic multi-measurement system for the online monitoring of lubricant oil
Abstract
We show a detection system that simultaneously allows absorbance (ABS), laser-induced fluorescence (LIF) and scattering detection excited by two different laser sources at 405 nm and 450 nm. The heart of the system consists of a mass manufacturable polymer optofluidic chip. The chip is mounted in an optical detection assembly that aligns the chip to the rest of the system, seals the chip from leakage, fixes the position and connects the channels to the rest of the fluidic system. The fluidics exhibit a reduced susceptibility to perturbations caused by air bubbles, this is accomplished by making use of a serpentine channel layout. For coumarin 480, detection limits of 100 nM and 10 pM are observed for ABS and LIF respectively. An effective detection range of 4000 down to 1 nephelometric turbidity units is shown for the detection of scattered light. The viscous behaviour of the sample is analysed by a secondary FFT processing step of which the result is further processed by multivariate data analysis. This allows the identification of samples and prediction of their quality parameters. We apply this system for the monitoring of lubricant oil, demonstrating its ability to compete with spectroscopic detection techniques. The low-cost approach and multi-measurement architecture shown in this paper pave the way for miniaturized on-line monitoring of liquids in an industrial environment.