Yannick Weesepoel

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1 Similar Researchers

Food and feed safety and valorisation of new and legally limited former foodstuffs for animal feed
Appel, M. J., van Raamsdonk, L. W. D., Geerdink, P., Bikker, P., Antonis, A. F. G., Meijer, N. P., de Vos-de Jong, C. J., Gerrits, E. W. J., Sturme, M. H. J. & Weesepoel, Y. J. A., 2 Jun 2022. 1 p.
Research output: Contribution to conference › Poster

Open Access
Predicting the performance of handheld near-infrared photonic sensors from a master benchtop device
Schoot, M., Alewijn, M., Weesepoel, Y., Mueller-Maatsch, J., Kapper, C., Postma, G., Buydens, L. & Jansen, J., 22 Apr 2022, In: Analytica Chimica Acta. 1203, 339707.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
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. 1-10
Research output: Chapter in Book/Report/Conference proceeding › Chapter › Professional

Open Access
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. 7-15
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
9 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 Access
8 Citations (Scopus)

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
Data of: Integration of handheld NIR and machine learning for the development of a “Measure & Monitor” technology for chicken meat authenticity
Parastar, H. (Creator), van Kollenburg, G. (Creator) & Weesepoel, Y. (Creator), Radboud University, 24 Jan 2020
DOI: 10.17632/cp2hdhkys3
Dataset

11 Oral presentation
1 Participation in or organising a workshop, seminar, course
1 Public lecture/debate/seminar

Towards smart solutions for the universal assessment of food intake
Yannick Weesepoel (Participant)
15 Nov 2021
Activity: Participating in or organising an event › Participation in or organising a workshop, seminar, course › Academic
Towards smart solutions for the universal assessment of food intake: Welcome, Setting the stage. Human nutrition perspective
Mireille Baart (Speaker) & Yannick Weesepoel (Speaker)
15 Nov 2021
Activity: Talk or presentation › Oral presentation › Academic
Trends & Highlights in spectroscopics based diagnostics; DNA/RNA Diagnostics@WUR
Yannick Weesepoel (Speaker) & Marleen Voorhuijzen (Speaker)
1 Dec 2020
Activity: Talk or presentation › Oral presentation › Academic
Towards dietary intake assessment using image analysis
Yannick Weesepoel (Speaker)
8 Nov 2019
Activity: Talk or presentation › Oral presentation › Other
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 2019
Activity: Talk or presentation › Oral presentation › Other

Detecting drugs with a mobile phone
Yannick Weesepoel & Martin Alewijn
27/01/21 → 28/01/21
2 Media contributions
Press/Media: Research › Professional
Smart camera measures what you eat
Yannick Weesepoel
26/08/20 → 27/08/20
2 Media contributions
Press/Media: Research › Other
Voedselkwaliteit meten: overal en door iedereen?
Michel Nielen & Yannick Weesepoel
1/11/19
1 Media contribution
Press/Media: Expert Comment › Other

5 Finished

Deelname Nationale wetenschapsagenda initiatieven (KB-37-002-021, KB-23-002-037)
Weesepoel, Y.
1/01/18 → 31/12/21
Project: EZproject
On-site inspectie van voedselveiligheid en kwaliteit met draagbare spectroscopie, imaging en deep learning (KB-33-007-006)
Weesepoel, Y.
1/01/18 → 31/12/18
Project: EZproject
AF16091 Snelle on-site screening op authenticiteit van oliën, vetten en afgeleide producten voor food en feed (BO-64-001-005, BO-46-002-023, BO-33.04-002-016)
Weesepoel, Y.
1/01/17 → 1/04/21
Project: EZproject
Phasmafood (KB-37-002-015, KB-23-002-030)
Weesepoel, Y.
1/01/17 → 31/12/20
Project: EZproject
Natural food colorants from algae.
Weesepoel, Y., Gruppen, H. & Vincken, J.
1/04/10 → 12/09/14
Project: PhD

Yannick Weesepoel

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Food and feed safety and valorisation of new and legally limited former foodstuffs for animal feed

Predicting the performance of handheld near-infrared photonic sensors from a master benchtop device

Are low-cost, hand-held NIR sensors suitable to detect adulterations of halal meat?

Detecting Food Fraud in Extra Virgin Olive Oil Using a Prototype Portable Hyphenated Photonics Sensor

Detecting fraudulent additions in skimmed milk powder using a portable, hyphenated, optical multi-sensor approach in combination with one-class classification

Data underlying the proceeding: Are low-cost, hand-held NIR sensors suitable to detect adulterations of halal meat?

Data of: Integration of handheld NIR and machine learning for the development of a “Measure & Monitor” technology for chicken meat authenticity

Towards smart solutions for the universal assessment of food intake

Towards smart solutions for the universal assessment of food intake: Welcome, Setting the stage. Human nutrition perspective

Trends & Highlights in spectroscopics based diagnostics; DNA/RNA Diagnostics@WUR

Towards dietary intake assessment using image analysis

Detection of adulteration in solid and liquid samples using a portable, non-invasive spectroscopic device

Detecting drugs with a mobile phone

Smart camera measures what you eat

Voedselkwaliteit meten: overal en door iedereen?

Deelname Nationale wetenschapsagenda initiatieven (KB-37-002-021, KB-23-002-037)

On-site inspectie van voedselveiligheid en kwaliteit met draagbare spectroscopie, imaging en deep learning (KB-33-007-006)

AF16091 Snelle on-site screening op authenticiteit van oliën, vetten en afgeleide producten voor food en feed (BO-64-001-005, BO-46-002-023, BO-33.04-002-016)

Phasmafood (KB-37-002-015, KB-23-002-030)

Natural food colorants from algae.

Yannick Weesepoel

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