Acta Alimentaria
Volume/Issue:
Volume 31: Issue 1
pqs (polar qualification system) the new data reduction and product qualification method
Authors:
K. J. Kaffka Faculty of Food Science, Szent István University H-1118 Budapest, Ménesi út 45. Hungary

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Zs. Seregély Department of Refrigeration and Livestock Products Technology, Faculty of Food Sciences, Szent István University H-1118 Budapest, Ménesi út 45. Hungary

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Pages:
3–20
Online Publication Date:
05 Aug 2005
Publication Date:
01 Feb 2002
Article Category:
Journal Article
DOI:
https://doi.org/10.1556/aalim.31.2002.1.2
Keywords:
near infrared spectroscopy; near infrared spectroscopy; electronic nose; polar qualification system; PQS; wavelength range optimisation; sequence optimisation; polar distance; data reduction; qualification
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The near infrared spectra are useful information sources relating to quality (e.g. composition) of a material examined. To obtain and interpret useful information requires in most cases the application of sophisticated methods of mathematical statistics. A method different from those mentioned above, implementing a large scale data reduction based on geometrical consideration is the PQS. According to this method, the quality of a material can be characterised by the centre of its spectrum represented in a polar co-ordinate system. In many cases it is enough to know whether the investigated product deviates in a certain degree from a given “standard product” or not. This can be decided by determining special “distances” between the two (investigated and standard) products using their near infrared spectra. Besides the successfully used Euclidean and Mahalanobis distances a new one, the “polar distance” was introduced giving the distance between the two centres (quality points) of the spectra of the two products examined. A method was elaborated to select the optimal wavelength range giving the maximum normalised distance between the two quality points of the investigated products. The so called “wavelength range optimisation” can not be used to work with non spectral data sets. While in case of NIR spectra the sequence of the data are determined by nature, in several cases the order of the data can be freely varied and the goal is the determination of the optimal data sequence. By introducing the “sequence optimisation” PQS could be generalised and used from the field of near infrared spectroscopy to solve any kind of multivariate tasks. The advantage of the PQS optimisation method is its simplicity. Since PQS was developed to extract the needed information from NIR spectra, the basic principles of the technique are introduced with the help of near infrared spectra of some milk powder samples of different fat content. The sequence optimisation is demonstrated with the sensor signal responses of an electronic nose (chemosensor array) instrument measuring different steam distilled volatile oil samples.

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Cover Acta Alimentaria
Acta Alimentaria
Print ISSN:
0139-3006
Online ISSN:
1588-2535
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Senior editors

Editor(s)-in-Chief: András Salgó, Budapest University of Technology and Economics, Budapest, Hungary

Co-ordinating Editor(s) Marianna Tóth-Markus, Budapest, Hungary

Co-editor(s): A. Halász, Budapest, Hungary

       Editorial Board

  • László Abrankó, Hungarian University of Agriculture and Life Sciences, Budapest, Hungary
  • Tamás Antal, University of Nyíregyháza, Nyíregyháza, Hungary
  • Diána Bánáti, University of Szeged, Szeged, Hungary
  • József Baranyi, Institute of Food Research, Norwich, UK
  • Ildikó Bata-Vidács, Eszterházy Károly Catholic University, Eger, Hungary
  • Ferenc Békés, FBFD PTY LTD, Sydney, NSW Australia
  • György Biró, Budapest, Hungary
  • Anna Blázovics, Semmelweis University, Budapest, Hungary
  • Francesco Capozzi, University of Bologna, Bologna, Italy
  • Marina Carcea, Research Centre for Food and Nutrition, Council for Agricultural Research and Economics Rome, Italy
  • Zsuzsanna Cserhalmi, Budapest, Hungary
  • Marco Dalla Rosa, University of Bologna, Bologna, Italy
  • István Dalmadi, Hungarian University of Agriculture and Life Sciences, Budapest, Hungary
  • Katarina Demnerova, University of Chemistry and Technology, Prague, Czech Republic
  • Mária Dobozi King, Texas A&M University, Texas, USA
  • Muying Du, Southwest University in Chongqing, Chongqing, China
  • Sedef Nehir El, Ege University, Izmir, Turkey
  • Søren Balling Engelsen, University of Copenhagen, Copenhagen, Denmark
  • Éva Gelencsér, Budapest, Hungary
  • Vicente Manuel Gómez-López, Universidad Católica San Antonio de Murcia, Murcia, Spain
  • Jovica Hardi, University of Osijek, Osijek, Croatia
  • Hongju He, Henan Institute of Science and Technology, Xinxiang, China
  • Károly Héberger, Research Centre for Natural Sciences, ELKH, Budapest, Hungary
  • Nebojsa Ilić, University of Novi Sad, Novi Sad, Serbia
  • Dietrich Knorr, Technische Universität Berlin, Berlin, Germany
  • Hamit Köksel, Hacettepe University, Ankara, Turkey
  • Katia Liburdi, Tuscia University, Viterbo, Italy
  • Meinolf Lindhauer, Max Rubner Institute, Detmold, Germany
  • Min-Tze Liong, Universiti Sains Malaysia, Penang, Malaysia
  • Marena Manley, Stellenbosch University, Stellenbosch, South Africa
  • Miklós Mézes, Hungarian University of Agriculture and Life Sciences, Gödöllő, Hungary
  • Áron Németh, Budapest University of Technology and Economics, Budapest, Hungary
  • Perry Ng, Michigan State University,  Michigan, USA
  • Quang Duc Nguyen, Hungarian University of Agriculture and Life Sciences, Budapest, Hungary
  • Laura Nyström, ETH Zürich, Switzerland
  • Lola Perez, University of Cordoba, Cordoba, Spain
  • Vieno Piironen, University of Helsinki, Finland
  • Alessandra Pino, University of Catania, Catania, Italy
  • Mojmir Rychtera, University of Chemistry and Technology, Prague, Czech Republic
  • Katharina Scherf, Technical University, Munich, Germany
  • Regine Schönlechner, University of Natural Resources and Life Sciences, Vienna, Austria
  • Arun Kumar Sharma, Department of Atomic Energy, Delhi, India
  • András Szarka, Budapest University of Technology and Economics, Budapest, Hungary
  • Mária Szeitzné Szabó, Budapest, Hungary
  • Sándor Tömösközi, Budapest University of Technology and Economics, Budapest, Hungary
  • László Varga, Széchenyi István University, Mosonmagyaróvár, Hungary
  • Rimantas Venskutonis, Kaunas University of Technology, Kaunas, Lithuania
  • Barbara Wróblewska, Institute of Animal Reproduction and Food Research, Polish Academy of Sciences Olsztyn, Poland

 

Acta Alimentaria
E-mail: Acta.Alimentaria@uni-mate.hu

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Acta Alimentaria
Language English
Size B5
Year of
Foundation		 1972
Volumes
per Year		 1
Issues
per Year		 4
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 0139-3006 (Print)
ISSN 1588-2535 (Online)

 

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