Application of gold-labeled antibody biosensor in simultaneous determination of total aflatoxins using artificial neural network

被引:0
|
作者
Asiye Saidi
Mohammad Mirzaei
机构
[1] Shahid Bahonar University of Kerman,Department of Chemistry
关键词
Aflatoxins; Gold nanoparticle; Antibody; Artificial neural network;
D O I
暂无
中图分类号
学科分类号
摘要
Preparation of antibody-coated gold nanoparticles (GNPs) specific to aflatoxins B1, B2, G1 and G2 and its use in developing aflatoxins diagnostic method were presented in this paper. The formation of gold-labeled antibodies was accomplished at optimal condition. Due to severe overlapping between the emission profiles for the aflatoxins, they cannot be determined by direct inspection of data. The strategy used in this study, constituted by artificial neural network (ANN), was easy to implement and to originate reliable results. ANN can be successfully applied to spectrofluorimetric spectra matrices to simultaneous determination of total aflatoxins. Quantitative results obtained using ANN method for aflatoxins in pistachio nuts samples were compared to those obtained using the HPLC method. Obtained results using these two methods did not show significant differences.
引用
收藏
页码:391 / 398
页数:7
相关论文
共 50 条
  • [41] Determination of the total organic carbon (TOC) based on conventional well logs using artificial neural network
    Mahmouda, Ahmed Abdulhamid A.
    Elkatatny, Salaheldin
    Mahmoud, Mohamed
    Abouelresh, Mohamed
    Abdulraheem, Abdulazeez
    Ali, Abdulwahab
    INTERNATIONAL JOURNAL OF COAL GEOLOGY, 2017, 179 : 72 - 80
  • [42] Using antibody coated gold nanoparticles as fluorescence quenchers for simultaneous determination of aflatoxins (B1, B2) by soft modeling method
    Saidi, Asiye
    Mirzaei, Mohammad
    Zeinali, Sedighe
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2013, 127 : 29 - 34
  • [43] Simultaneous spectrophotometric determination of titanium and niobium using artificial neural networks
    Gao, Z.M.
    Li, J.H.
    Gao, L.R.
    Chen, X.P.
    Lihua Jianyan: Huaxue Fence/Physical Testing and Chemical Analysis Part B:Chemical Analysis, 2001, 37 (01):
  • [44] Simultaneous kinetic determination of sulfite and sulfide using artificial neural networks
    Safavi, A
    Moradlou, O
    Maesum, S
    TALANTA, 2004, 62 (01) : 51 - 56
  • [45] Simultaneous electroanalytical determination of luteolin and rutin using artificial neural networks
    Yamil Tesio, Alvaro
    Noel Robledo, Sebastian
    Marcelo Granero, Adrian
    Fernandez, Hector
    Alicia Zon, Maria
    SENSORS AND ACTUATORS B-CHEMICAL, 2014, 203 : 655 - 662
  • [46] Artificial neural network for quantitative determination of total protein in yogurt by infrared spectrometry
    Khanmohammadi, Mohammadreza
    Garmarudi, Amir Bagheri
    Ghasemi, Keyvan
    Garrigues, Salvador
    de la Guardia, Miguel
    MICROCHEMICAL JOURNAL, 2009, 91 (01) : 47 - 52
  • [47] Application of principal component-artificial neural network models for simultaneous determination of phenolic compounds by a kinetic spectrophotometric method
    Hasani, Masoumeh
    Moloudi, Mahsa
    JOURNAL OF HAZARDOUS MATERIALS, 2008, 157 (01) : 161 - 169
  • [48] IMPROVED ACCURACY IN DIAGNOSTIC IMMUNOHISTOCHEMISTRY, LECTIN HISTOCHEMISTRY AND INSITU HYBRIDIZATION USING A GOLD-LABELED HORSERADISH-PEROXIDASE ANTIBODY AND SILVER INTENSIFICATION
    ROTH, J
    SAREMASLANI, P
    WARHOL, MJ
    HEITZ, PU
    LABORATORY INVESTIGATION, 1992, 67 (02) : 263 - 269
  • [49] Ready reserve power determination using artificial neural network
    Arya, LD
    Sakravdia, DK
    Kothari, DP
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2004, 26 (07) : 473 - 477
  • [50] Determination of the Compressive Strength of Concrete Using Artificial Neural Network
    Palomino Ojeda, Jose Manuel
    Rosario Bocanegra, Stefano
    Quinones Huatangari, Lenin
    INTERNATIONAL JOURNAL OF ENGINEERING AND TECHNOLOGY INNOVATION, 2021, 11 (03) : 204 - 215