Literature DB >> 22902534

Impedance sensing and molecular modeling of an olfactory biosensor based on chemosensory proteins of honeybee.

Qingjun Liu1, Hua Wang, Hongliang Li, Jing Zhang, Shulin Zhuang, Fenni Zhang, K Jimmy Hsia, Ping Wang.   

Abstract

By mimicking biological olfaction, biosensors have been used for the detection of important ligands in complex environments. An olfactory biosensor based on chemosensory proteins (CSPs) was designed by immobilizing honeybee CSPs (Ac-ASP3) on the interdigitated golden electrodes. Its responses to ligands of pheromones and floral odors were recorded by impedance spectroscopy. The relative decrease of charge transfer resistance of the biosensor is proportional to the logarithm of ligand concentration from 10(-7)M to 10(-3)M. To explore the molecular recognition processes of the biosensor, the tertiary structure of the protein was modeled and the protein-ligand interactions were investigated by the molecular docking. Our docking results verified the validity of experiments and showed that the specific ligands could form hydrogen bonds with some of the conserved residues, such as Cys 60 and Gln 64 of Ac-ASP3. Furthermore, combining the molecular modeling with impedance detection, the accuracy, specificity and predictability of the ligands binding to the protein could be improved. Thus, CSPs will provide a promising approach for chemical molecular sensing at low concentrations.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22902534     DOI: 10.1016/j.bios.2012.07.011

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  9 in total

1.  Ligands binding and molecular simulation: the potential investigation of a biosensor based on an insect odorant binding protein.

Authors:  Xin Yi; Yanbo Zhang; Peidan Wang; Jiangwei Qi; Meiying Hu; Guohua Zhong
Journal:  Int J Biol Sci       Date:  2015-01-01       Impact factor: 6.580

2.  A Novel Semi-Supervised Electronic Nose Learning Technique: M-Training.

Authors:  Pengfei Jia; Tailai Huang; Shukai Duan; Lingpu Ge; Jia Yan; Lidan Wang
Journal:  Sensors (Basel)       Date:  2016-03-14       Impact factor: 3.576

Review 3.  Identification of Chinese Herbal Medicines with Electronic Nose Technology: Applications and Challenges.

Authors:  Huaying Zhou; Dehan Luo; Hamid GholamHosseini; Zhong Li; Jiafeng He
Journal:  Sensors (Basel)       Date:  2017-05-09       Impact factor: 3.576

Review 4.  Odorant-Binding Proteins as Sensing Elements for Odour Monitoring.

Authors:  Paolo Pelosi; Jiao Zhu; Wolfgang Knoll
Journal:  Sensors (Basel)       Date:  2018-09-27       Impact factor: 3.576

Review 5.  Tools in the Investigation of Volatile Semiochemicals on Insects: From Sampling to Statistical Analysis.

Authors:  Ricardo Barbosa-Cornelio; Fernando Cantor; Ericsson Coy-Barrera; Daniel Rodríguez
Journal:  Insects       Date:  2019-08-06       Impact factor: 2.769

6.  Molecularly Imprinted Polyscopoletin for the Electrochemical Detection of the Chronic Disease Marker Lysozyme.

Authors:  Tiziano Di Giulio; Elisabetta Mazzotta; Cosimino Malitesta
Journal:  Biosensors (Basel)       Date:  2020-12-23

Review 7.  An Overview of Artificial Olfaction Systems with a Focus on Surface Plasmon Resonance for the Analysis of Volatile Organic Compounds.

Authors:  Marielle El Kazzy; Jonathan S Weerakkody; Charlotte Hurot; Raphaël Mathey; Arnaud Buhot; Natale Scaramozzino; Yanxia Hou
Journal:  Biosensors (Basel)       Date:  2021-07-23

8.  A Novel Semi-Supervised Method of Electronic Nose for Indoor Pollution Detection Trained by M-S4VMs.

Authors:  Tailai Huang; Pengfei Jia; Peilin He; Shukai Duan; Jia Yan; Lidan Wang
Journal:  Sensors (Basel)       Date:  2016-09-10       Impact factor: 3.576

9.  A Novel Optimization Technique to Improve Gas Recognition by Electronic Noses Based on the Enhanced Krill Herd Algorithm.

Authors:  Li Wang; Pengfei Jia; Tailai Huang; Shukai Duan; Jia Yan; Lidan Wang
Journal:  Sensors (Basel)       Date:  2016-08-12       Impact factor: 3.576

  9 in total

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