Evaluation of macro and micronutrient elements content from soft drinks using principal component analysis and Kohonen self-organizing maps

被引:23
|
作者
Silva, Emanuela dos Santos [1 ]
Paranhos da Silva, Erik Galvao [2 ]
Silva, Danielen dos Santos [1 ]
Novaes, Cleber Galvao [1 ]
Carqueija Amorim, Fabio Alan [2 ]
Silva dos Santos, Marcio Jose [1 ]
Bezerra, Marcos Almeida [1 ]
机构
[1] Univ Estadual Sudoeste Bahia, Dept Ciencias & Tecnol, Campus Jequie,Rua Jose Moreira Sobrinho S-N, BR-45208091 Jequie, BA, Brazil
[2] Univ Estadual Santa Cruz, Dept Ciencias Exatas & Tecnol, Campus Soane Nazare de Andrade,Km 16 BR 415, BR-45662900 Ilheus, BA, Brazil
关键词
Soft drinks; Kohonen maps; Neural network; Principal component analysis; Elemental analysis; ICP OES; SPME-GC-MS; CLASSIFICATION; CHEMOMETRICS; OILS; SPECTROSCOPY; VARIETIES; BEVERAGES; SPECTRA; METALS;
D O I
10.1016/j.foodchem.2018.06.021
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
This study approaches the determination of nine elements from Brazilian carbonated soft drinks of several flavors and manufactures using inductively coupled plasma optical emission spectrometry (ICP OES). The concentrations of the elements varied as follows: (in mu g L-1: Cu: 4.00-78.0; Fe: 74.0-506; Mn: 20.0-66.0; Zn: 104-584) and (in mg L-1: Ca: 4.81-16.2; K: 6.73-260; Na: 26.0-175; S: 1.43-5.41; P: 0.186-219). Principal component analysis has shown some tendencies to form two groups according to the drink flavor (orange and cola), but only cola presented a clear and complete separation. Using Kohonen maps, it was observed a tendency to form three flavor groups: (i) cola, (ii) orange and lemon, and (iii) guarana. However, this last tool proved to be more accurate in the groups' formation.
引用
收藏
页码:9 / 14
页数:6
相关论文
共 50 条
  • [21] Clustering the ecological footprint of nations using Kohonen's self-organizing maps
    Mostafa, Mohamed M.
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (04) : 2747 - 2755
  • [22] Application of Kohonen self-organizing maps to the analysis of enterprises' employees certification results
    Tynchenko, V. S.
    Tynchenko, V. V.
    Bukhtoyarov, V. V.
    Kukartsev, V. V.
    Kukartsev, V. A.
    Eremeev, D. V.
    [J]. INTERNATIONAL WORKSHOP ADVANCED TECHNOLOGIES IN MATERIAL SCIENCE, MECHANICAL AND AUTOMATION ENGINEERING - MIP: ENGINEERING - 2019, 2019, 537
  • [23] Intelligent diagnostic system design: A methodology based on Principal Component Analysis and Self-Organizing Maps
    Paolillo, M.
    Lacasella, A.
    Muraca, E.
    [J]. RISK, RELIABILITY AND SOCIETAL SAFETY, VOLS 1-3: VOL 1: SPECIALISATION TOPICS; VOL 2: THEMATIC TOPICS; VOL 3: APPLICATIONS TOPICS, 2007, : 817 - 825
  • [24] The automated classification of astronomical light curves using Kohonen self-organizing maps
    Brett, DR
    West, RG
    Wheatley, PJ
    [J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2004, 353 (02) : 369 - 376
  • [25] RELATIVE PERFORMANCE OF SELF-ORGANIZING MAPS AND PRINCIPAL COMPONENT ANALYSIS IN PATTERN EXTRACTION FROM SYNTHETIC CLIMATOLOGICAL DATA
    Reusch, David
    Alley, Richard
    Hewitson, Bruce
    [J]. POLAR GEOGRAPHY, 2005, 29 (03) : 188 - 212
  • [26] Analysis of the Structure of Germany's Energy Sector with Self-organizing Kohonen Maps
    Potapenko, Irina
    Kukartsev, Vladislav
    Tynchenko, Vadim
    Mikhalev, Anton
    Ershova, Evgeniia
    [J]. BUSINESS INFORMATION SYSTEMS WORKSHOPS, BIS 2021, 2022, 444 : 5 - 13
  • [27] Monitoring of casting quality using principal component analysis and self-organizing map
    Hocine Bendjama
    Salah Bouhouche
    Salim Aouabdi
    Jürgen Bast
    [J]. The International Journal of Advanced Manufacturing Technology, 2022, 120 : 3599 - 3607
  • [28] COLLECTIVE MEMORY IN FINANCIAL MARKETS: FROM HALBWACHS TO SELF-ORGANIZING KOHONEN MAPS
    Sorrosal Forradellas, Ma Teresa
    Ramirez Sarrio, Didac
    [J]. CUADERNOS DEL CIMBAGE, 2005, 7 : 25 - 42
  • [29] Face Recognition using Principal Component Analysis and Clustered Self-Organizing Map
    Almotiri, Jasem
    [J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2022, 13 (03) : 509 - 520
  • [30] Monitoring of casting quality using principal component analysis and self-organizing map
    Bendjama, Hocine
    Bouhouche, Salah
    Aouabdi, Salim
    Bast, Juergen
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2022, 120 (5-6): : 3599 - 3607