Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/57038

TitleDairy products discrimination according to the milk type using an electrochemical multisensor device coupled with chemometric tools
Author(s)Tazi, Imam
Triyana, Kuwat
Siswanta, Dwi
Veloso, Ana C. A.
Peres, António M.
Dias, Luís G.
KeywordsDairy products
Electronic tongue
Linear discriminant analysis
Principal component analysis
Simulated annealing algorithm
Issue dateDec-2018
PublisherSpringer Science + Business Media
JournalJournal of Food Measurement and Characterization
CitationTazi, Imam; Triyana, Kuwat; Siswanta, Dwi; Veloso, Ana C. A.; Peres, António M.; Dias, Luís G., Dairy products discrimination according to the milk type using an electrochemical multisensor device coupled with chemometric tools. Journal of Food Measurement and Characterization, 12(4), 2385-2393, 2018
Abstract(s)This study shows the potential application of a potentiometric electronic tongue coupled with a lab-made DataLogger device for the classification of dairy products according to the type of milk used in their production, i.e., natural, fermented and UHT milk. The electronic tongue device merged a commercial pH electrode and 15 lipid/polymeric membranes, which were obtained by a drop-by-drop technique. The potentiometric signal profiles gathered from the 16 sensors, during the analysis of the 11 dairy products (with ten replicate samples), together with principal component analysis showed that dairy samples could be naturally grouped according to the three types of milk evaluated. To further investigate and verify this capability, a linear discriminant analysis together with a simulated annealing variable selection algorithm was also applied to the electrochemical data, which were randomly split into two datasets, one used for model training and internal-validation using a repeated K-fold cross-validation procedure (with 64\% of the data); and the other for external validation purposes (containing the remaining 36\% of the data). The multivariate supervised strategy used allowed establishing a classification model, based on the potentiometric information of four sensor lipid membranes, which enabled achieving a successful discrimination rate of 100\\% for both internal- and external-validation processes. The demonstrated versatility of the built electronic tongue for discriminating dairy products according to the type of milk used in their production combined with its simplicity, low-cost and fast time analysis may envisage a possible future application in dairy industry.
TypeArticle
URIhttp://hdl.handle.net/1822/57038
DOI10.1007/s11694-018-9855-8
ISSN1932-7587
e-ISSN2193-4134
Publisher versionhttp://www.springer.com/food+science/journal/11694
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

Files in This Item:
File Description SizeFormat 
document_47781_1.pdf
  Restricted access
1,1 MBAdobe PDFView/Open    Request a copy!

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID