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Rafał Walczak

Researcher at Wrocław University of Technology

Publications -  115
Citations -  875

Rafał Walczak is an academic researcher from Wrocław University of Technology. The author has contributed to research in topics: Microfluidics & Lab-on-a-chip. The author has an hindex of 12, co-authored 104 publications receiving 701 citations. Previous affiliations of Rafał Walczak include University of Wrocław.

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Inkjet 3D printing of microfluidic structures—on the selection of the printer towards printing your own microfluidic chips

TL;DR: In this article, the results of detailed research on the application of inkjet 3D printing for the fabrication of microfluidic structures were reported, and four different 3D printers were compared.
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Portable gas chromatograph with integrated components

TL;DR: In this paper, a portable gas chromatograph with silicon/glass integrated micromachined flushed injector and doubled thermal conductivity detectors (TCD) has been presented, the injector has two symmetrical dosing loops, each of 7μl volume and one fast injection microvalve, pneumatically operated.
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Triboelectric single-electrode-output control interface using patterned grid electrode

TL;DR: A minimalist control interface with only one sensing electrode is developed based on sliding triboelectric mode, providing superior advantages, including realization of multi-directional sensing and controlling using only one electrode and ultra-robust detection mechanism based on the number of the generated output peaks.
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The SmartBioPhone, a point of care vision under development through two European projects: OPTOLABCARD and LABONFOIL.

TL;DR: This paper describes how sixteen partners from eight different countries across Europe are working together in two EU projects focused on the development of a point of care system that uses disposable Lab on a Chips that carry out the complete assay from sample preparation to result interpretation of raw samples.
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Volatile organic compounds sensing based on Bennet doubler-inspired triboelectric nanogenerator and machine learning-assisted ion mobility analysis

TL;DR: In this article, a machine learning-enhanced ion mobility analyzer with a triboelectric-based ionizer was proposed, which offers good ion mobility selectivity and VOC recognition ability with a small-sized device and non-strict operating environment.