A Review on Electronic Nose: Coherent Taxonomy, Classification, Motivations, Challenges, Recommendations and Datasets

被引:20
|
作者
Al-Dayyeni, Wisam Subhi [1 ]
Al-Yousif, Shahad [1 ,2 ]
Taher, Mayada M. [3 ]
Al-Faouri, Ahmad Wahib [4 ]
Tahir, Nooritawati Md [5 ,6 ,7 ]
Jaber, Mustafa Musa [1 ]
Ghabban, Fahad [8 ]
Najm, Ihab A. [9 ]
Alfadli, Ibrahim M. [8 ]
Ameerbakhsh, Omair Z. [8 ]
Mnati, Mohannad Jabbar [10 ]
Al-Shareefi, Nael A. [11 ]
Saleh, Abbadullah H. [12 ]
机构
[1] Dijlah Univ Coll, Dept Med Instrumentat Engn Tech, Baghdad 10022, Iraq
[2] Gulf Univ, Coll Engn, Dept Elect & Elect Engn, Sanad 26671, Bahrain
[3] Univ Technol Baghdad, Dept Laser & Optoelect Engn, Baghdad 10066, Iraq
[4] Management & Sci Univ, Fac Informat Sci & Engn, Shah Alam 40100, Malaysia
[5] Univ Teknol MARA, Coll Engn, Dept Elect Engn, Shah Alam 40450, Malaysia
[6] Univ Teknol MARA, Integrat Pharmacogen Inst iPROMISE, Shah Alam 40450, Malaysia
[7] Univ Teknol MARA, Instituteof Big Data Analyt & Artificial Intellig, Shah Alam 40450, Malaysia
[8] Taibah Univ, Coll Comp Sci & Engn, Dept Informat Syst, Medina 56352, Saudi Arabia
[9] Tikrit Univ, Dept Engn, Tikrit 666, Iraq
[10] Middle Tech Univ, Inst Technol Baghdad, Dept Elect Technol, Baghdad 10066, Iraq
[11] Univ Informat Technol & Commun UOITC, Coll Biomed Informat, Baghdad 18310, Iraq
[12] Karabuk Univ, Dept Comp Engn, TR-55700 Karabuk, Turkey
关键词
Pattern recognition; Electronic noses; Olfactory; Taxonomy; Food industry; Sensor arrays; Quality assessment; Artificial olfaction; electronic nose; feature classification; food quality; machine learning; pattern recognition; GEOGRAPHICAL ORIGIN; QUALITY ASSESSMENT; FOOD AUTHENTICITY; ARTIFICIAL SENSES; COMPUTER VISION; E-TONGUE; FUSION; IDENTIFICATION; DISCRIMINATION; DRIFT;
D O I
10.1109/ACCESS.2021.3090165
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Context: Quality Control (QC) has been constantly an essential concern in many fields like food industry production, medical drugs, environmental protection, and so on. An odor or flavor, as a global fingerprint, can be implemented as a non-invasive mechanism for quality assurance. This computer-based approach can assure accurate detection and precise identification of the product quality or manufactured goods. Objective: This paper aims to achieve a systematic review about e-nose by introducing the achievements made by researchers in this area, to summarize their findings, to provide motivations and challenges to new researchers in the field of e-nose. Methods: The articles that were being utilized in the e-nose field were systematically achieved using three search engines: The online library of IEEE Explore, Web of Science and Science Direct for time span of 7 years (from 2013 to 2020). Both medical literature reviews and technical reviews were considered in the criteria of the research for wider understanding in the field of e-nose. The articles were categorized according to the objective of the research and projected into four classes. Upon completion of screening process 333 research papers using the exclusion and inclusion conditions, as the final set 54 articles were selected. Results: The taxonomy of this research was classified into four categories. The first one included the suggested methods that introduced the utilization of the e-nose for classification purposes (9/54 papers). The second category comprises the methods related to the development of e-nose (24/54 papers). The third one included the review studies about the e-nose (8/54 papers). The fourth group comprises comparative studies and evaluation (13/54 papers). Discussion: This systematic review contributes for a clearer understanding and a full insight in the e- nose research field by surveying and categorizing pertinent research efforts. Conclusion: This review paper will help to address the up-to-date research opportunities, challenges, problems, motivations and recommendations related to the utilization of e-nose in all fields of sciences and industries.
引用
收藏
页码:88535 / 88551
页数:17
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