View More View Less
  • 1 Corvinus University of Budapest, Hungary
Restricted access

Purchase article

USD  $25.00

1 year subscription (Individual Only)

USD  $173.00

Efforts have been made to predict the sensory profile of coffee samples by instrumental measurement results. The objective of the work was to evaluate the most important sensory attributes of coffee samples prepared from ground roasted coffee by electronic tongue and by sensory panel. Further aim was to predict the Arabica concentration and the main sensory attributes of the different coffee blends by electronic tongue and to analyze the sensitivity of the electronic tongue to the detection of poor quality coffee samples. Five coffee blends with known Arabica and Robusta concentration ratio, five commercially available coffee blends and a poor quality coffee were analyzed. The electronic tongue distinguished the coffee samples according to the Arabica and Robusta content. The sensory panel was able to discriminate the samples based on global aroma, bitterness and coffee aroma intensity (p < 0.01). The Arabica concentration was predicted from the electronic tongue results by PLS with close correlation and low prediction error. Models were developed to predict sensory attributes of the tested coffee samples from the results obtained by the electronic instrument.

  • Berrueta, L.A., Alonso-Salces, R.M., Héberger, K. (2007) Supervised pattern recognition in food analysis. Journal of Chromatography A. 1158 (1–2): 196214.

    • Search Google Scholar
    • Export Citation
  • Bleimbaum, R.N., Stone, H., Tan, T., Labreche, S., Saint-Martin, E., Isz, S. (2002) Comparison of sensory and consumer results with electronic nose and tongue sensors for apple juices. Food Quality and Preference. 13: 409422.

    • Search Google Scholar
    • Export Citation
  • Feria-Morales, A.M. (2002). Examining the case of green coffee to illustrate the limitations of grading systems/expert tasters in sensory evaluation for quality control. Food Quality and Preference 13: 355367.

    • Search Google Scholar
    • Export Citation
  • Holsher, W., Vitzthum, O.G., Steinhart, H. (1990) Identification and sensorial evaluation of aroma-impact-compounds in roasted Colombian coffee. Café Cacao Thé. 34: 205212.

    • Search Google Scholar
    • Export Citation
  • Kántor, D.B., Mészáros, P., Fekete, A. (2006) Electronic tongue for testing coffee quality and quantity by electronic tongue (in Hungarian). Élelmiszervizsgálati Közlemények. 52 (4), 216223.

    • Search Google Scholar
    • Export Citation
  • Kovács, Z., Dalmadi, I., Lukács, L, Sipos, L., Szántainé, K.K., Kókai, Z., Fekete, A. (2010) Geographical origin identification of pure Sri Lanka tea infusions with electronic nose, electronic tongue and sensory profile analysis. Journal of Chemometrics. 24 (3–4): 121130.

    • Search Google Scholar
    • Export Citation
  • Lawless, H. (1995) Dimensions of sensory quality: a critique. Food Quality and Preference. 6: 191199.

  • Legin, A., Rudnitskaya, A., Vlasov, Y., et al. (1997) Tasting of beverages using an electronic tongue. Sensors and Actuators B. 44: 291296.

    • Search Google Scholar
    • Export Citation
  • Nebesny, E. , Budryn, G. (2006). Evaluation of sensory attributes of coffee brews from Robusta coffee roasted under different conditions. European Food Research and Technology 224: 159165.

  • Persaud, K., Dodd, G. (1982) Analysis of discrimination mechanisms in the mammalian olfactory system using a model nose. Nature. 299: 352355.

    • Search Google Scholar
    • Export Citation
  • Schreyer, S. K., Mikkelsen, S. R. (2000) Chemometric analysis of square wave voltammograms for classification and quantification of untreated beverage samples. Sensors and Actuators B. 71: 147153.

    • Search Google Scholar
    • Export Citation
  • Toko, K. (2000) Taste sensor. Sensors and Actuators B,. 64: 205215.

  • Vlasov, Y.G., Legin, A.V., Rudnitskaya, A.M., D’Amico, A., Di Natale, C. (2000) “Electronic tongue”-new analytical tool for liquid analysis on the basis of non specific sensors and methods of pattern recognition. Sensors and Actuators B-Chemical. 6: 235236.

    • Search Google Scholar
    • Export Citation

 

 

The author instruction is available in PDF.
Please, download the file from HERE.

 

 

Senior editors

Editor(s)-in-Chief: Felföldi, József

Chair of the Editorial Board Szendrő, Péter

Editorial Board

  • Beke, János (Szent István University, Faculty of Mechanical Engineerin, Gödöllő – Hungary)
  • Fenyvesi, László (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)
  • Szendrő, Péter (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)
  • Felföldi, József (Szent István University, Faculty of Food Science, Budapest – Hungary)

 

Advisory Board

  • De Baerdemaeker, Josse (KU Leuven, Faculty of Bioscience Engineering, Leuven - Belgium)
  • Funk, David B. (United States Department of Agriculture | USDA • Grain Inspection, Packers and Stockyards Administration (GIPSA), Kansas City – USA
  • Geyer, Martin (Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Department of Horticultural Engineering, Potsdam - Germany)
  • Janik, József (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)
  • Kutzbach, Heinz D. (Institut für Agrartechnik, Fg. Grundlagen der Agrartechnik, Universität Hohenheim – Germany)
  • Mizrach, Amos (Institute of Agricultural Engineering. ARO, the Volcani Center, Bet Dagan – Israel)
  • Neményi, Miklós (Széchenyi University, Department of Biosystems and Food Engineering, Győr – Hungary)
  • Schulze-Lammers, Peter (University of Bonn, Institute of Agricultural Engineering (ILT), Bonn – Germany)
  • Sitkei, György (University of Sopron, Institute of Wood Engineering, Sopron – Hungary)
  • Sun, Da-Wen (University College Dublin, School of Biosystems and Food Engineering, Agriculture and Food Science, Dublin – Ireland)
  • Tóth, László (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)

Prof. Felföldi, József
Institute: Physics-Control Department, Szent István University
Address: 1118 Budapest Somlói út 14-16
Phone: +36 1 305 7206
E-mail: Felfoldi.Jozsef@etk.szie.hu

Indexing and Abstracting Services:

  • CABI

2020  
Scimago
H-index
8
Scimago
Journal Rank
0,197
Scimago
Quartile Score
Environmental Engineering Q4
Industrial and Manufacturing Engineering Q3
Mechanical Engineering Q4
Scopus
Cite Score
33/69=0,5
Scopus
Cite Score Rank
Environmental Engineering 126/146 (Q4)
Industrial and Manufacturing Engineering 269/336 (Q3)
Mechanical Engineering 512/596 (Q4)
Scopus
SNIP
0,211
Scopus
Cites
53
Scopus
Documents
41
Days from submission to acceptance 122
Days from acceptance to publication 40
Acceptance rate 86%

 

2019  
Scimago
H-index
6
Scimago
Journal Rank
0,123
Scimago
Quartile Score
Environmental Engineering Q4
Industrial and Manufacturing Engineering Q4
Mechanical Engineering Q4
Scopus
Cite Score
18/33=0,5
Scopus
Cite Score Rank
Environmental Engineering 108/132 (Q4)
Industrial and Manufacturing Engineering 242/340 (Q3)
Mechanical Engineering 481/585 (Q4)
Scopus
SNIP
0,211
Scopus
Cites
13
Scopus
Documents
5

 

Progress in Agricultural Engineering Sciences
Publication Model Hybrid
Submission Fee none
Article Processing Charge 900 EUR/article
Printed Color Illustrations 40 EUR (or 10 000 HUF) + VAT / piece
Regional discounts on country of the funding agency World Bank Lower-middle-income economies: 50%
World Bank Low-income economies: 100%
Further Discounts Editorial Board / Advisory Board members: 50%
Corresponding authors, affiliated to an EISZ member institution subscribing to the journal package of Akadémiai Kiadó: 100%
Subscription fee 2021 Online subsscription: 145 EUR / 181 USD
Print + online subscription: 168 EUR / 210 USD
Subscription fee 2022 Online subsscription:  148 EUR / 185 USD
Print + online subscription: 172 EUR / 215 USD
Subscription Information Online subscribers are entitled access to all back issues published by Akadémiai Kiadó for each title for the duration of the subscription, as well as Online First content for the subscribed content.
Purchase per Title Individual articles are sold on the displayed price.

Progress in Agricultural Engineering Sciences
Language English
Size B5
Year of
Foundation
2004
Publication
Programme
2021 Volume 17
Volumes
per Year
1
Issues
per Year
1
Founder Magyar Tudományos Akadémia
Founder's
Address
H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 1786-335X (Print)
ISSN 1787-0321 (Online)

Monthly Content Usage

Abstract Views Full Text Views PDF Downloads
May 2021 4 0 0
Jun 2021 3 0 0
Jul 2021 2 0 0
Aug 2021 0 0 0
Sep 2021 8 0 0
Oct 2021 2 0 0
Nov 2021 0 0 0