Novel neural network-based prediction model for quantifying hydroquinone in compost with biosensor measurements.

Abstract Hydroquinone generally appears in compost as a direct pollutant or an intermediate product in the aromatic pollutant biodegradation process. The requirement of quantifying its concentration calls for efficient and economical analytical methods. In this study, artificial neural networks (ANNs) were combined with a biosensor to realize nonlinear determination of hydroquinone in a complex composting system. The direct detection range for hydroquinone in compost system using biosensor reached 1.5 × 10−8 ∼ 3.6 × 10−4 M. Meanwhile, the performance of the ANN model was compared with a nonlinear regression model with respect to the simulation accuracy and adaptability to uncertainty, etc. Nonlinear range analysis could extend the usable detection range of biosensor for hydroquinone and could improve the adaptability of the detecting system in real sample determination. Results illustrated that the combined application of biosensor measurement and artificial neural network analysis was a rapid, sensitive,...

[1]  Juozas Kulys,et al.  Amperometric biosensors based on recombinant laccases for phenols determination. , 2003, Biosensors & bioelectronics.

[2]  M. Maciejewska,et al.  SECM visualization of spatial variability of enzyme-polymer spots. 1. Discretisation and interference elimination using artificial neural networks. , 2007, Biosensors & bioelectronics.

[3]  T. E. Abraham,et al.  Biosensor for the determination of phenols based on cross-linked enzyme crystals (CLEC) of laccase. , 2005, Biosensors & bioelectronics.

[4]  Nongjian Tao,et al.  Detection of heavy metal ions in drinking water using a high-resolution differential surface plasmon resonance sensor. , 2005, Environmental science & technology.

[5]  José S. Torrecilla,et al.  Application of artificial neural network to the determination of phenolic compounds in olive oil mill wastewater , 2007 .

[6]  S. Alegret,et al.  Sequential injection system with higher dimensional electrochemical sensor signals Part 1. Voltammetric e-tongue for the determination of oxidizable compounds. , 2005, Talanta.

[7]  G. Shen,et al.  Determination of trace chromium(VI) by an inhibition-based enzyme biosensor incorporating an electropolymerized aniline membrane and ferrocene as electron transfer mediator , 2004 .

[8]  G. Shen,et al.  Rapid detection of picloram in agricultural field samples using a disposable immunomembrane-based electrochemical sensor. , 2008, Environmental science & technology.

[9]  G. Shen,et al.  Amperometric detection of lignin-degrading peroxidase activities from Phanerochaete chrysosporium , 2005 .

[10]  Salvador Alegret,et al.  Potentiometric bioelectronic tongue for the analysis of urea and alkaline ions in clinical samples. , 2007, Biosensors & bioelectronics.

[11]  R. Hecht-Nielsen,et al.  Theory of the Back Propagation Neural Network , 1989 .

[12]  J. Kochana,et al.  Tyrosinase/laccase bienzyme biosensor for amperometric determination of phenolic compounds , 2008 .

[13]  L. Gorton,et al.  Amperometric detection of mono- and diphenols at Cerrena unicolor laccase-modified graphite electrode: correlation between sensitivity and substrate structure. , 2005, Talanta.

[14]  G. Shen,et al.  Simultaneous amperometric determination of lignin peroxidase and manganese peroxidase activities in compost bioremediation using artificial neural networks. , 2006, Analytica chimica acta.

[15]  Hecht-Nielsen.  Theory of the backpropagation neural network , 1989 .

[16]  J. Marty,et al.  Improved multianalyte detection of organophosphates and carbamates with disposable multielectrode biosensors using recombinant mutants of Drosophila acetylcholinesterase and artificial neural networks. , 2000, Biosensors & bioelectronics.

[17]  Conrad Bessant,et al.  Simultaneous Determination of Ethanol, Fructose, and Glucose at an Unmodified Platinum Electrode Using Artificial Neural Networks , 1999 .

[18]  Carl G. Looney,et al.  Pattern recognition using neural networks: theory and algorithms for engineers and scientists , 1997 .

[19]  A. O. Rangel,et al.  Application of manure and compost to contaminated soils and its effect on zinc accumulation by Solanum nigrum inoculated with arbuscular mycorrhizal fungi. , 2008, Environmental pollution.

[20]  R. Bally,et al.  Phenolic derivatives related to lignin metabolism as substrates for Azospirillum laccase activity , 1996 .

[21]  J. Jawitz,et al.  Biobased surfactant-like molecules from organic wastes: the effect of waste composition and composting process on surfactant properties and on the ability to solubilize Tetrachloroethene (PCE). , 2008, Environmental science & technology.

[22]  F. Vianello,et al.  A high sensitivity amperometric biosensor using a monomolecular layer of laccase as biorecognition element. , 2004, Biosensors & bioelectronics.

[23]  K. Kim,et al.  Gas chromatographic profiling and screening for phenols as isobutoxycarbonyl derivatives in aqueous samples. , 2000, Journal of chromatography. A.

[24]  G. Zeng,et al.  Catechol determination in compost bioremediation using a laccase sensor and artificial neural networks , 2008, Analytical and bioanalytical chemistry.

[25]  G. Zeng,et al.  A hydroquinone biosensor using modified core-shell magnetic nanoparticles supported on carbon paste electrode. , 2007, Biosensors & bioelectronics.

[26]  S. Andreescu,et al.  Studies of the binding and signaling of surface-immobilized periplasmic glucose receptors on gold nanoparticles: a glucose biosensor application. , 2008, Analytical biochemistry.

[27]  L. Chapuis-Lardy,et al.  High-performance liquid chromatography of water-soluble phenolics in leaf litter of three Eucalyptus hybrids (Congo) , 2002 .

[28]  H. Abdollahi,et al.  A kinetic spectrophotometric method for simultaneous determination of glycine and lysine by artificial neural networks. , 2007, Analytical biochemistry.

[29]  D. C. Topping,et al.  Hydroquinone: acute and subchronic toxicity studies with emphasis on neurobehavioral and nephrotoxic effects. , 2007, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.

[30]  M. Madbouly,et al.  Trace determination of phenols in natural waters. Extraction by a new graphitized carbon black cartridge followed by liquid chromatography and re-analysis after phenol derivatization , 1996 .

[31]  S. Sario,et al.  Comparison of Immobilisation Procedures for Development of an Electrochemical PPO-Based Biosensor for on Line Monitoring of a Depuration Process , 1994 .

[32]  A. Neves,et al.  Biomimetic sensor based on a novel copper complex for the determination of hydroquinone in cosmetics , 2007 .

[33]  Y. Ni,et al.  Simultaneous voltammetric determination of four carbamate pesticides with the use of chemometrics , 2005 .

[34]  Salvador Alegret,et al.  Simultaneous determination of phenolic compounds by means of an automated voltammetric “electronic tongue” , 2005, Analytical and bioanalytical chemistry.

[35]  S. Alegret,et al.  Determination of phenolic compounds by a polyphenol oxidase amperometric biosensor and artificial neural network analysis. , 2005, Biosensors & bioelectronics.

[36]  H. Dai,et al.  Peptide-coated nanotube-based biosensor for the detection of disease-specific autoantibodies in human serum. , 2008, Biosensors & bioelectronics.