Electronic Nose and Its Applications: A Survey

Karakaya, Diclehan; Ulucan, Oguzhan; Türkan, Mehmet

doi:10.1007/s11633-019-1212-9

Cited by 253 publications

(196 citation statements)

References 262 publications

(262 reference statements)

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“…All the decisions a human makes result from billions of neurons that analyze images, sounds, smells, structures, and movements, recognize patterns, and continuously calculate probabilities and options. Machines can also analyze and calculate similar data, including smell sensing by the electronic nose [ 4 ].…”

Section: How Do Machines Learnmentioning

confidence: 99%

How Do Machines Learn? Artificial Intelligence as a New Era in Medicine

Koteluk

Wartecki

Mazurek

et al. 2021

JPM

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With an increased number of medical data generated every day, there is a strong need for reliable, automated evaluation tools. With high hopes and expectations, machine learning has the potential to revolutionize many fields of medicine, helping to make faster and more correct decisions and improving current standards of treatment. Today, machines can analyze, learn, communicate, and understand processed data and are used in health care increasingly. This review explains different models and the general process of machine learning and training the algorithms. Furthermore, it summarizes the most useful machine learning applications and tools in different branches of medicine and health care (radiology, pathology, pharmacology, infectious diseases, personalized decision making, and many others). The review also addresses the futuristic prospects and threats of applying artificial intelligence as an advanced, automated medicine tool.

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Section: How Do Machines Learnmentioning

confidence: 99%

How Do Machines Learn? Artificial Intelligence as a New Era in Medicine

Koteluk

Wartecki

Mazurek

et al. 2021

JPM

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“…At the end of this section, potential markets and applications for odor sensors are discussed. Figure 1 illustrates a classification scheme developed in accordance with [3][4][5][6][7]. A distinction can be made between biosensors and technical sensors.…”

Section: Basicsmentioning

confidence: 99%

Market Perspectives and Future Fields of Application of Odor Detection Biosensors—A Systematic Analysis

Full

Delbrück

Sauer

et al. 2020

The 1st International Electronic Conference on Biosensors

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The technological advantages that biosensors have over conventional technical sensors for odor detection have not yet been comprehensively analyzed. However, this is necessary for assessing their suitability for specific fields of application as well as their improvement and development goals. In this paper specific market potentials of biosensors for odor detection are identified by applying a tailored methodology that enables the derivation and systematic comparison of both the performance profiles of biosensors as well as the requirement profiles for various application fields. Therefore, the fulfillment of defined requirements is evaluated for biosensors by means of 16 selected technical criteria in order to determine a specific performance profile. Further, a selection of application fields for odor detection sensors is derived to compare the importance of the criteria for each of the fields, leading to market-specific requirement profiles. The analysis reveals that the requirement criteria considered to be the most important ones across all application fields are high specificity, high selectivity, high repeat accuracy, high resolution, high accuracy, and high sensitivity. All these criteria, except for the repeat accuracy, can potentially be better met by biosensors than by technical sensors, according to the results obtained. Therefore, biosensor technology in general has a high application potential for all the areas of application under consideration. Health and safety applications especially are considered to have high potential for biosensors due to their correspondence between requirement and performance profiles.

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“…Gas Chromatography coupled with Mass Spectrosopy (GC-MS), Selected Ion Flow Tube Mass Spectrometry (SIFT-MS) [1]. Since e-noses have reduced size, offer connectivity, and do not require a consumable carrier gas, they open doors to various applications in air quality, agriculture, cosmetics and fragrances, health, and public security [2][3][4][5]. Food applications are a suitable field for electronic noses, as flavors and aromas are predominant characteristics.…”

Section: Introductionmentioning

confidence: 99%

Opto-Electronic Nose Coupled to a Silicon Micro Pre-Concentrator Device for Selective Sensing of Flavored Waters

Slimani¹,

Bultel²,

Cubizolle³

et al. 2020

Chemosensors

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Headspace analysis of highly humid samples remains a challenge for artificial olfaction. Based on surface plasmon resonance imaging and bio-based sensors, the NeOse Pro olfactive analyzer yields multivariate data and enhances the statistical discrimination capacity of odor patterns. However, the presence of a high background signal, such as water vapor from aqueous samples, may deteriorate its discriminant ability. Recently, miniaturized pre-concentrators packed with hydrophobic adsorbent have been developed to improve the detection limit of gas analysis methods and to enhance their selectivity by reducing the water’s background signal. This work presents, for the first time, the coupling of a miniaturized silicon micro pre-concentration unit (µPC) to a bio-based opto-electronic nose (NeOse Pro). The results showed that the coupling of a silicon µPC with the NeOse Pro led to an improvement in the detection limit of n-nonane by at least a factor of 125. Additionally, principal component analysis (PCA) of eight different flavored waters showed an enhanced discrimination ability of the coupled set-up in highly humid conditions.

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Electronic Nose and Its Applications: A Survey

Cited by 253 publications

References 262 publications

How Do Machines Learn? Artificial Intelligence as a New Era in Medicine

How Do Machines Learn? Artificial Intelligence as a New Era in Medicine

Market Perspectives and Future Fields of Application of Odor Detection Biosensors—A Systematic Analysis

Opto-Electronic Nose Coupled to a Silicon Micro Pre-Concentrator Device for Selective Sensing of Flavored Waters

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