Repository logo
 
Publication

Fast and green method for the analysis of Serra da Estrela cheese

2019-02Conference object Open access
Simple item page
dc.contributor.authorLima, Maria João
dc.contributor.authorFontes, Luísa
dc.contributor.authorGuiné, Raquel
dc.date.accessioned2019-05-21T08:45:01Z
dc.date.available2019-05-21T08:45:01Z
dc.date.issued2019-02
dc.description.abstractSerra da Estrela (SE) cheese is a regional product making part of the gastronomic and sociocultural heritage of Portugal. It has several aspects that make it unique, namely the manufacturing by the coagulation of raw sheep milk using the thistle flower of Cynara cardunculus L., obtaining a final buttery texture with an exclusive typical flavour. The aroma compounds of Serra da Estrela cheese result partially from the action of indigenous microorganisms and enzymes on lactose, lipids and proteins. Although SE production is very ancient, there are few studies concerning its nutritional composition but nowadays consumers demonstrate interest in understanding the global composition of cheese, since it’s a product highly appreciated. In the last decades the use of near infrared spectroscopy (FT-NIR) has become comparable with those of the classical methods with representative advantages such as minimum laborious time sample preparation, it is a green technique (without using toxic reagents) and allows multiparametric determinations. To perform the present study, a total of 24 SE cheese samples were evaluated, originated from 6 representative producers and analysed with a FT-NIR Buchi NIRMaster™ standalone spectrometer with a spectral range of 800 – 2500 nm and compared with classical methods. SE cheese samples were evaluated in terms of salt, moisture, protein and fat content. In all the studied samples the moisture varied between 42 % and 53 %, the fat content between 19.6 and 33.3 %, the protein content between 18.6 and 26.7 % and the salt between 0.7 and 2.2 %. The results showed a significant agreement between the pairs of values obtained for the studied parameters.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLima, M.J., Fontes, L., & Guiné, R.P.F. (2019, February). Fast and green method for the analysis of Serra da Estrela cheese. In M. Sabovics & E. Straumite... et al. (Eds), Conference Proceedings FOODBALT 2019 - 13th Baltic Conference on Food Science and Technology (pp. 243-246). Jelgava: Latvia University of Life Sciences and Technologies, Faculty of Food Technology.pt_PT
dc.identifier.issn2255-9817
dc.identifier.urihttp://hdl.handle.net/10400.19/5505
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relation.publisherversionhttp://llufb.llu.lv/conference/foodbalt/2019/FoodBalt_2019_proceedings.pdfpt_PT
dc.subjectFT-NIR spectroscopypt_PT
dc.subjectProteinpt_PT
dc.subjectSaltpt_PT
dc.subjectFatpt_PT
dc.titleFast and green method for the analysis of Serra da Estrela cheesept_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceJalgava, Letóniapt_PT
oaire.citation.title“13th Baltic Conference on Food Science and Technology - FOODBALT 2019” and “5th North and East European Congress on Food - NEEFood 2019”pt_PT
person.familyNamede Pinho Ferreira Guiné
person.givenNameRaquel
person.identifierhttps://scholar.google.pt/citations?user=abFDovIAAAAJ&hl=pt-PT
person.identifier.ciencia-id8B13-5492-0F23
person.identifier.orcid0000-0003-0595-6805
person.identifier.scopus-author-id6603138390
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication59580952-77cc-4e4e-ae90-527a8b994f9f
relation.isAuthorOfPublication.latestForDiscovery59580952-77cc-4e4e-ae90-527a8b994f9f

Files

Original bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
2019_04_Jelgava_Resumo_QSE - NIR analysis.pdf
Size:
940.29 KB
Format:
Adobe Portable Document Format
Download
No Thumbnail Available
Name:
2019_04_Jelgava_Ata_QSE - NIR analysis.pdf
Size:
3.22 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.79 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

ESAV - DIA - Resumos de eventos científicos não indexados à WoS/Scopus