Publicação
Physical properties of 29 colored potato varieties
| dc.contributor.author | Oliveira, Izamara | |
| dc.contributor.author | Ueda, Jonata Massao | |
| dc.contributor.author | Rodrigues, Christian Teixeira | |
| dc.contributor.author | Heleno, Sandrina A. | |
| dc.contributor.author | Petropoulos, Spyridon Α. | |
| dc.contributor.author | Alexopoulos, Alexios | |
| dc.contributor.author | Carocho, Márcio | |
| dc.contributor.author | Barros, Lillian | |
| dc.contributor.author | Ferreira, Isabel C.F.R. | |
| dc.date.accessioned | 2022-01-20T16:07:59Z | |
| dc.date.available | 2022-01-20T16:07:59Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | The use of different varieties of potatoes ( Solanum tuberosum L.) with different colors may be appealing to consumers, namely in terms of their visual appearance, allowing their use as “chips” and other ready-to-eat snacks. This work studied the physical properties of 29 varieties of colored potatoes, analyzing their external color and the different dimensions of texture. The external color was measured with a portable colorimeter, analyzing the CIELab color space according to the L* (lightness), a* (red-green) and b* (blue-yellow) coordinates. The texture was determined using a “texture profile analysis” assay allowing the classification of their hardness, adhesiveness, springiness, cohesiveness and resilience. The samples were classified through an analysis of variance using Tukey’s test as a post-hoc, and finally were subjected to a linear discriminant analysis for further discrimination based on the studied parameters. According to the obtained results, the color of the potatoes showed significant statistical differences, although many of the samples were related to each other. The sample with the darkest color was “Blaue veltlin” variety, with an L* of 27.8, whereas the sample with the lightest colour was “Blaue ajanhuiri” variety. In terms of the values of parameter a* the cultivar with the greenest tone was also the “Blaue ajanhuiri”, while the one closer to the red quadrant was "Purple from Peru”. Finally, the analysis of parameter b* showed that “Blaue Neuseeländer” sample was the one with the highest blue tone and “Purple fiesta” the one with the highest intensity of yellow. Regarding the different texture dimensions, the samples showed homogenous values. All samples revealed no statistical difference for springiness, whereas regarding adhesiveness, the sample “Purple from Congo” was the most adhesive at -144 g/sec and “Linzer blaue” the less adhesive at -15 g/sec. Concerning the hardness parameter, “Blaue Anneliese” and “Blaue neuseeländer” were the samples with the hardest and softest texture, respectively. In addition, the most cohesive sample was “Pink from Bolivia”, whereas the least cohesive one was “Linzer blaue”. Chewiness had three different levels of significant difference with “Blaue Anneliese” being the least chewy and “Black princess” the most, while for resilience, the least resilient were “Pink from Bolivia” and “Hermanns blaue” and the most resilient was “Linzer blaue”. In terms of the linear discriminant analysis, the first two of five functions described 84.8% of variability (function 1 – 72.0%, function 2 – 12.8%), while the varieties that presented the highest variability were “Lilly rose”, “Red salad potato”, “Purple from Peru”, “Königspurpur” and “Highland burgundy”. In conclusion, the presented results showed a great variability among the tested potato varieties indicating that these could dictate the different uses of the final food product. | pt_PT |
| dc.description.sponsorship | The authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES to CIMO (UIDB/00690/2020). L. Barros thanks the national funding by FCT through the institutional scientific employment program-contract for her contract, while M. Carocho and S. Heleno thank FCT through the individual scientific employment program-contracts (CEECIND/00831/2018 and CEECIND/03040/2017). I. Oliveira thanks FCT for her PhD grant (BD/06017/ 2020 ). This work is funded by the European Regional Development Fund (ERDF) through the Regional Operational Program North 2020, within the scope of Project GreenHealth - Digital strategies in biological assets to improve well-being and promote green health, Norte-01-0145-FEDER-000042, and Project Mobilizador Norte-01-0247-FEDER-024479: ValorNatural®. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Oliveira, Izamara de; Ueda, Jonata M.; Rodrigues, Christian; Heleno, Sandrina A.; Petropoulos, Syridon A.; Alexoupoulos, Alexios; Carocho, Márcio; Barros, Lillian; Ferreira, Isabel C.F.R. (2021). Physical properties of 29 colored potato varieties. In 1st Natural products application: health, cosmetic and food: book of abstracts. Bragança: Instituto Politécnico. ISBN 978-972-745-286-6 | pt_PT |
| dc.identifier.isbn | 978-972-745-286-6 | |
| dc.identifier.uri | http://hdl.handle.net/10198/24807 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.relation | Mountain Research Center - UIDB/00690/2020 | |
| dc.relation | PlantPack: Volatile plant compounds as active packaging agents: prospection, extraction optimization, in silico studies and innovative applications | |
| dc.relation | SafEat - Emerging strategies to obtain safe and healthy natural colorants and preservatives: valorisation of agrifood bio wastes - CEECIND/03040/2017/CP1403/CT0001 | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Solanum tuberosum L. | pt_PT |
| dc.subject | Potatoes | pt_PT |
| dc.title | Physical properties of 29 colored potato varieties | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | UIDB/00690/2020 | |
| oaire.awardNumber | CEECIND/00831/2018/CP1578/CT0001 | |
| oaire.awardNumber | CEECIND/03040/2017/CP1403/CT0001 | |
| oaire.awardTitle | Mountain Research Center - UIDB/00690/2020 | |
| oaire.awardTitle | PlantPack: Volatile plant compounds as active packaging agents: prospection, extraction optimization, in silico studies and innovative applications | |
| oaire.awardTitle | SafEat - Emerging strategies to obtain safe and healthy natural colorants and preservatives: valorisation of agrifood bio wastes - CEECIND/03040/2017/CP1403/CT0001 | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/CEEC IND 2018/CEECIND%2F00831%2F2018%2FCP1578%2FCT0001/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/CEEC IND 2017/CEECIND%2F03040%2F2017%2FCP1403%2FCT0001/PT | |
| oaire.citation.conferencePlace | On-line | pt_PT |
| oaire.citation.title | 1st Natural products application: Health, Cosmetic and Food | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | CEEC IND 2018 | |
| oaire.fundingStream | CEEC IND 2017 | |
| person.familyName | Oliveira | |
| person.familyName | Ueda | |
| person.familyName | Heleno | |
| person.familyName | Carocho | |
| person.familyName | Barros | |
| person.familyName | Ferreira | |
| person.givenName | Izamara | |
| person.givenName | Jonata Massao | |
| person.givenName | Sandrina A. | |
| person.givenName | Márcio | |
| person.givenName | Lillian | |
| person.givenName | Isabel C.F.R. | |
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| person.identifier.orcid | 0000-0002-2274-2166 | |
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| person.identifier.rid | L-5951-2014 | |
| person.identifier.rid | J-3600-2013 | |
| person.identifier.rid | E-8500-2013 | |
| person.identifier.scopus-author-id | 57222522617 | |
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| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
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