Literature DB >> 30557906

A Novel Method for Generation of a Fingerprint Using Electronic Nose on the Example of Rapeseed Spoilage.

Robert Rusinek1, Marek Gancarz1, Magdalena Krekora1, Agnieszka Nawrocka1.   

Abstract

The paper presents application of a new three-parameter method for identification of volatile organic compounds (VOCs) and creation of fingerprints based on the impregnation time (tIM ), cleaning time (tCL ), and maximum response ([ΔR/R]max ) of chemically sensing sensors for detecting spoilage of agricultural commodities. The novelty of this method consists in the use of two additional parameters: an impregnation time and a cleaning time for the first time. An Agrinose built of eight metal oxide semiconductors was used for identification of loss in the rapeseed quality during a short period of storage after harvest. Principal component analysis was applied as a method of data analysis to verify the suitability of the new three-parameter method and visualization of groups of different quality of raw materials. Fourier transform infrared spectroscopy spectra for identification of the infrared bands of fungal polysaccharides and gas chromatography-mass spectrometry analysis of the headspace was applied to describe volatile metabolite contents in reference to the electronic nose technique. The investigations and analyses have demonstrated that the new three-parameter method for determination of volatile compounds ([ΔR/R]max , tIM , tCL ) describes the changes in VOCs more efficiently than the single-parameter approach based only on the maximum sensor response ([ΔR/R]max ). The proposed method for generation of electronic fingerprints clearly discriminated between rapeseed samples infected with field and storage microflora. Three-parameters method can be useful for quality control in food microbiology and safety, as a rapid method of analysis and detection, including electronic nose sensor technology. PRACTICAL APPLICATION: The use of the proposed method for generation of fingerprints requires no interference with the hardware of the electronic nose but necessitates modification of the software only. This facilitates implementation of the three-parameter method in available devices. This kind of methods and devices can be useful for example in storage process with active ventilation.
© 2018 Institute of Food Technologists®.

Entities:  

Keywords:  Fourier transform infrared spectroscopy; electronic nose; gas chromatography-mass spectrometry; metal-oxide semiconductor sensors; volatile organic compounds

Mesh:

Substances:

Year:  2018        PMID: 30557906     DOI: 10.1111/1750-3841.14400

Source DB:  PubMed          Journal:  J Food Sci        ISSN: 0022-1147            Impact factor:   3.167


  6 in total

1.  Quantitative and Qualitative Analysis of Multicomponent Gas Using Sensor Array.

Authors:  Shurui Fan; Zirui Li; Kewen Xia; Dongxia Hao
Journal:  Sensors (Basel)       Date:  2019-09-11       Impact factor: 3.576

2.  Influence of Changes in the Level of Volatile Compounds Emitted during Rapeseed Quality Degradation on the Reaction of MOS Type Sensor-Array.

Authors:  Robert Rusinek; Henryk Jeleń; Urszula Malaga-Toboła; Marek Molenda; Marek Gancarz
Journal:  Sensors (Basel)       Date:  2020-06-01       Impact factor: 3.576

3.  Single-Nanowire Fuse for Ionization Gas Detection.

Authors:  Hai Liu; Wenhuan Zhu; Yutong Han; Zhi Yang; Yizhong Huang
Journal:  Sensors (Basel)       Date:  2019-10-09       Impact factor: 3.576

4.  Influence of the aromatic surface on the capacity of adsorption of VOCs by magnetite supported organic-inorganic hybrids.

Authors:  María de Las Nieves Piña; María Susana Gutiérrez; Mario Panagos; Paulino Duel; Alberto León; Jeroni Morey; David Quiñonero; Antonio Frontera
Journal:  RSC Adv       Date:  2019-08-05       Impact factor: 4.036

Review 5.  Applications of Nanotechnology in Sensor-Based Detection of Foodborne Pathogens.

Authors:  Harsh Kumar; Kamil Kuča; Shashi Kant Bhatia; Kritika Saini; Ankur Kaushal; Rachna Verma; Tek Chand Bhalla; Dinesh Kumar
Journal:  Sensors (Basel)       Date:  2020-04-01       Impact factor: 3.576

6.  Rapid and Non-Destructive Detection of Compression Damage of Yellow Peach Using an Electronic Nose and Chemometrics.

Authors:  Xiangzheng Yang; Jiahui Chen; Lianwen Jia; Wangqing Yu; Da Wang; Wenwen Wei; Shaojia Li; Shiyi Tian; Di Wu
Journal:  Sensors (Basel)       Date:  2020-03-27       Impact factor: 3.576

  6 in total

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