Identification of food using an electronic tongue

被引:0
|
作者
Teng, JH [1 ]
Wang, L [1 ]
Ahlers, H [1 ]
Unger, U [1 ]
机构
[1] Tongji Univ, Chinese German Coll, Shanghai 200092, Peoples R China
关键词
electronic tongue; liquid analysis; pulse voltammetry; pattern recognition; BP algorithm;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The determination of quality of food stuffs, water and beverages and control of their correspondence to standards is an urgent problem. An electronic tongue based on the taste sensor arrays with data processing by pattern recognition tools has been developed as an instrument using identification of their quality in food industry. In this paper, the voltammetric electronic tongue consisted of seven working electrodes of different metals wire, which are stannum (Sn), niobium (Nb), palladium (Pd), titanium (Ti), ferrum (Fe), tungsten (W) and platinum (Pt), and a reference electrode which is molybdenum (Mo). Pattern recognition method is an artificial neural network based on BP algorithm. The taste of fruit juice and milk can be discussed qualitatively using the electronic tongue. The output of this voltammtric electronic tongue shows that different patterns for chemical substances have different taste output. It can identify some sorts of 100% concentration fruit juice, such as apple, red grape, pineapple and orange. Three kinds of fat content milk such as 0.3%, 1.5% and 3.5%, can also be identified.
引用
收藏
页码:598 / 601
页数:4
相关论文
共 50 条
  • [1] Recognition of liquid and flesh food using an 'electronic tongue'
    Rudnitskaya, ALA
    Seleznev, B
    Vlasov, Y
    [J]. INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY, 2002, 37 (04): : 375 - 385
  • [2] Voltammetric identification of motor oils using an “electronic tongue”
    A. V. Sidelnikov
    D. M. Bikmeev
    F. Kh. Kudasheva
    V. N. Maystrenko
    [J]. Journal of Analytical Chemistry, 2013, 68 : 140 - 147
  • [3] Identification of Catecholamine Neurotransmitters Using a Fluorescent Electronic Tongue
    Jafarinejad, Somayeh
    Bigdeli, Arafeh
    Ghazi-Khansari, Mahmoud
    Sasanpour, Pezhman
    Hormozi-Nezhad, M. Reza
    [J]. ACS CHEMICAL NEUROSCIENCE, 2020, 11 (01): : 25 - 33
  • [4] Voltammetric identification of motor oils using an "electronic tongue"
    Sidelnikov, A. V.
    Bikmeev, D. M.
    Kudasheva, F. Kh.
    Maystrenko, V. N.
    [J]. JOURNAL OF ANALYTICAL CHEMISTRY, 2013, 68 (02) : 140 - 147
  • [5] Identification of monofloral honey using voltammetric electronic tongue
    Tiwari, Kamalika
    Tudu, Bipan
    Bandyopadhyay, Rajib
    Chatterjee, Anutosh
    [J]. JOURNAL OF FOOD ENGINEERING, 2013, 117 (02) : 205 - 210
  • [6] Identification of Xinyang Maojian Tea Taste Using Electronic Tongue
    Zhang, Hongmei
    Zou, Guangyu
    Liu, Xinping
    Xiao, Yanzhong
    Wang, Wanzhang
    [J]. SENSORS AND MATERIALS, 2019, 31 (07) : 2347 - 2356
  • [7] Electronic Tongue based Liquid Identification using LVQ Algorithm
    Sharma, Prerna
    Ugale, Sunita
    [J]. 2015 INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATION AND CONTROL (IC4), 2015,
  • [8] Is the electronic Tongue revolutionizing the Food Industry?
    Ahlers, Horst
    [J]. DEUTSCHE LEBENSMITTEL-RUNDSCHAU, 2020, 116 (01) : 12 - 16
  • [9] Amperometric electronic tongue for food analysis
    Scampicchio, Matteo
    Ballabio, Davide
    Arecchi, Alessandra
    Cosio, Stella M.
    Mannino, Saverio
    [J]. MICROCHIMICA ACTA, 2008, 163 (1-2) : 11 - 21
  • [10] Electronic tongue for recognition of flesh food
    Legin, A
    Rudnitskaya, A
    Seleznev, B
    Vlasov, Y
    Velikzhanin, V
    [J]. ARTIFICIAL CHEMICAL SENSING: OLFACTION AND THE ELECTRONIC NOSE (ISOEN 2001), 2001, 2001 (15): : 76 - 81