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.authorTyuftin, Andrey A.
dc.contributor.authorMohammed, Halimah
dc.contributor.authorKerry, Joseph P.
dc.contributor.authorO'Sullivan, Maurice G.
dc.contributor.authorHamill, Ruth
dc.contributor.authorKilcawley, Kieran
dc.contributor.funderDepartment of Agriculture, Food and the Marine, Irelanden
dc.date.accessioned2021-06-29T09:34:04Z
dc.date.available2021-06-29T09:34:04Z
dc.date.issued2021-05-07
dc.date.updated2021-06-29T09:20:39Z
dc.description.abstractNumerous 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.sponsorshipDepartment of Agriculture, Food and the Marine, Ireland (Food Institutional Research Measure (FIRM) Grant Number R17360)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationTyuftin, 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.2021202en
dc.identifier.doi10.37722/ANAFS.2021202en
dc.identifier.endpage10en
dc.identifier.issn2641-6816
dc.identifier.issued2en
dc.identifier.journaltitleAdvances in Nutrition and Food Scienceen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/11502
dc.identifier.volume2021en
dc.language.isoenen
dc.publisherKosmos Publishersen
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.urihttps://creativecommons.org/licenses/by-sa/4.0/en
dc.subjectSeparationen
dc.subjectWakameen
dc.subjectFeret diameteren
dc.subjectFood particlesen
dc.subjectFood particle microscopyen
dc.subjectImageJ programen
dc.subjectParticle analysisen
dc.subjectParticle distribution by photographyen
dc.subjectSeaweeden
dc.titleMicroscopy-assisted digital photography as an economical analytical tool for assessment of food particles and their distribution through the use of the ImageJ programen
dc.typeArticle (peer-reviewed)en
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