Research output per year
Research output per year
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Dive into the research topics where Michiel Wijtten is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Comparison of a portable Vis-NIR hyperspectral imaging and a snapscan SWIR hyperspectral imaging for evaluation of meat authenticity
Dashti, A., Müller-Maatsch, J., Roetgerink, E., Wijtten, M., Weesepoel, Y., Parastar, H. & Yazdanpanah, H., 30 Jun 2023, In: Food Chemistry: X. 18, 100667.Research output: Contribution to journal › Article › Academic › peer-review
Open Access6 Citations (Scopus) -
Are low-cost, hand-held NIR sensors suitable to detect adulterations of halal meat?
Müller-Maatsch, J. T. L., Weesepoel, Y. J. A., Roetgerink, E. A. M., Wijtten, A. M. & Alewijn, M., 26 Feb 2021, OCM 2021 - Optical Characterization of Materials: Conference Proceedings. Beyerer, J. & Längle, T. (eds.). KIT Publishers, p. 1-10Research output: Chapter in Book/Report/Conference proceeding › Chapter › Professional
Open Access3 Citations (Scopus) -
Detecting Food Fraud in Extra Virgin Olive Oil Using a Prototype Portable Hyphenated Photonics Sensor
Weesepoel, Y., Alewijn, M., Wijtten, M. & Müller-maatsch, J., 5 Mar 2021, In: Journal of AOAC International. 104, 1, p. 7-15Research output: Contribution to journal › Article › Academic › peer-review
Open Access24 Citations (Scopus) -
Detecting fraudulent additions in skimmed milk powder using a portable, hyphenated, optical multi-sensor approach in combination with one-class classification
Müller-Maatsch, J., Alewijn, M., Wijtten, M. & Weesepoel, Y., Mar 2021, In: Food Control. 121, 107744.Research output: Contribution to journal › Article › Academic › peer-review
Open Access31 Citations (Scopus) -
Red-green Alarming Method To Determine Adulterated Skimmed Milk Powder
Pustjens, A. M., Wijtten, A. M., Silvis, I. C. J., Polder, G., Alewijn, M. & van Ruth, S. M., 2015.Research output: Contribution to conference › Poster › Professional
Open Access
Datasets
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Data underlying the proceeding: Are low-cost, hand-held NIR sensors suitable to detect adulterations of halal meat?
Müller-Maatsch, J. (Creator), Weesepoel, Y. (Creator), Alewijn, M. (Creator), Wijtten, M. (Creator) & Roetgerink, E. (Creator), Wageningen University & Research, 31 May 2021
DOI: 10.4121/14671959
Dataset
Activities
- 1 Oral presentation
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Detection of adulteration in solid and liquid samples using a portable, non-invasive spectroscopic device
Judith Müller-Maatsch (Speaker), Yannick Weesepoel (Contributor), Michiel Wijtten (Contributor) & Martin Alewijn (Contributor)
7 Nov 2019Activity: Talk or presentation › Oral presentation › Other