Microscopy-assisted digital photography as an economical analytical tool for assessment of food particles and their distribution through the use of the ImageJ program
dc.contributor.author | Tyuftin, Andrey A. | |
dc.contributor.author | Mohammed, Halimah | |
dc.contributor.author | Kerry, Joseph P. | |
dc.contributor.author | O'Sullivan, Maurice G. | |
dc.contributor.author | Hamill, Ruth | |
dc.contributor.author | Kilcawley, Kieran | |
dc.contributor.funder | Department of Agriculture, Food and the Marine, Ireland | en |
dc.date.accessioned | 2021-06-29T09:34:04Z | |
dc.date.available | 2021-06-29T09:34:04Z | |
dc.date.issued | 2021-05-07 | |
dc.date.updated | 2021-06-29T09:20:39Z | |
dc.description.abstract | Numerous technologies are available for particle analysis, such as laser diffraction, laser in-line particle size analysis, acoustic attenuation spectroscopy etc. However, in many situations, particle size analysis needs only to be conducted in single-type research, negating the purchase of high cost equipment. Microscopy assisted photography can be used followed by the analysis of the photo in ImageJ program in this case. It has been known seaweeds possess a high nutritional profile and can partially replace some ingredients such as salt. In represented method we describe an analytical tool for food particle size diameter analysis and probability distribution validated using four different seaweed separates (2360 to 355 µm mesh sizes). This method is cheap and consists of an ordinary digital camera (or cell phone camera), any microscope (or cell phone lens) or digital micrometer (for large particles) and open-sourced software â ImageJ. For seaweed sample separates obtained from 212 to 180 µm sieve mesh sizes, only microscopy equipped with a digital camera was employed. This method can be applied for any other industry such as biological samples, pharmaceutical etc., with a particular any range of particles distribution depending on accuracy required and camera lens resolution. | en |
dc.description.sponsorship | Department of Agriculture, Food and the Marine, Ireland (Food Institutional Research Measure (FIRM) Grant Number R17360) | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Published Version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Tyuftin, A. A., Mohammed, H., Kerry, J. P., O'Sullivan, M. G., Hamill, R. and Kilcawley, K. (2021) 'Microscopy-assisted digital photography as an economical analytical tool for assessment of food particles and their distribution through the use of the ImageJ program', Advances in Nutrition and Food Science, 2021(2), pp. 1-10. doi: 10.37722/ANAFS.2021202 | en |
dc.identifier.doi | 10.37722/ANAFS.2021202 | en |
dc.identifier.endpage | 10 | en |
dc.identifier.issn | 2641-6816 | |
dc.identifier.issued | 2 | en |
dc.identifier.journaltitle | Advances in Nutrition and Food Science | en |
dc.identifier.startpage | 1 | en |
dc.identifier.uri | https://hdl.handle.net/10468/11502 | |
dc.identifier.volume | 2021 | en |
dc.language.iso | en | en |
dc.publisher | Kosmos Publishers | en |
dc.rights | © 2021, the Authors. This is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY-SA) license (https://creativecommons.org/licenses/by-sa/4.0/) | en |
dc.rights.uri | https://creativecommons.org/licenses/by-sa/4.0/ | en |
dc.subject | Separation | en |
dc.subject | Wakame | en |
dc.subject | Feret diameter | en |
dc.subject | Food particles | en |
dc.subject | Food particle microscopy | en |
dc.subject | ImageJ program | en |
dc.subject | Particle analysis | en |
dc.subject | Particle distribution by photography | en |
dc.subject | Seaweed | en |
dc.title | Microscopy-assisted digital photography as an economical analytical tool for assessment of food particles and their distribution through the use of the ImageJ program | en |
dc.type | Article (peer-reviewed) | en |
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