Electronic Noses Applications in Beer Technology

Santos, J.P.; Lozano, Jesús; Aleixandre, M.

doi:10.5772/intechopen.68822

Cited by 18 publications

(13 citation statements)

References 61 publications

(60 reference statements)

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“…VOC analysis by an electronic nose device is based on pattern recognition and resembles mammalian olfaction (figure 1). 6 7 The Aeonose (the eNose company, Zutphen, the Netherlands) consists of three metal-oxide sensors and uses chemical to electrical interfaces to measure subtle VOC profiles of different diseases in exhaled breath. Data were analysed by an artificial neural network in a supervised fashion to identify data classifiers to extract breath print differences between patients with BO, gastro-oesophageal reflux disease (GORD), and controls.…”

Section: Methodsmentioning

confidence: 99%

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Detection of Barrett’s oesophagus through exhaled breath using an electronic nose device

Peters

Schrauwen

Tan

et al. 2020

Gut

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Timely detection of oesophageal adenocarcinoma (OAC) and even more so its precursor Barrett’s oesophagus (BO) could contribute to decrease OAC incidence and mortality. An accurate, minimally-invasive screening method for BO for widespread use is currently not available. In a proof-of-principle study in 402 patients, we developed and cross-validated a BO prediction model using volatile organic compounds (VOCs) analysis with an electronic nose device. This electronic nose was able to distinguish between patients with and without BO with good diagnostic accuracy (sensitivity 91% specificity 74%) and seemed to be independent of proton pump inhibitor use, the presence of hiatal hernia, and reflux. This technique may enable an efficient, well-tolerated, and sensitive and specific screening method to select high-risk individuals to undergo upper endoscopy.

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Section: Methodsmentioning

confidence: 99%

“…Combinations of individual sensor measurements generate a digital signal, which can be analysed by pattern recognition and artificial neural networks. Adapted from Santos et al 7…”

Section: Methodsmentioning

confidence: 99%

Detection of Barrett’s oesophagus through exhaled breath using an electronic nose device

Peters

Schrauwen

Tan

et al. 2020

Gut

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“…E-noses are composed of four elements: a sensor matrix, signal processing unit, data storage, and pattern recognition. These four pieces simulate the data acquisition from the olfactory receptor neurons, the codification in the olfactory bulb, brain memory, and data processing performed by the human olfactory system, respectively [2].…”

Section: Introductionmentioning

confidence: 99%

A Prototype to Detect the Alcohol Content of Beers Based on an Electronic Nose

Voss

Júnior

Farinelli

et al. 2019

Sensors

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Due to the emergence of new microbreweries in the Brazilian market, there is a need to construct equipment to quickly and accurately identify the alcohol content in beverages, together with a reduced marketing cost. Towards this purpose, the electronic noses prove to be the most suitable equipment for this situation. In this work, a prototype was developed to detect the concentration of ethanol in a high spectrum of beers presents in the market. It was used cheap and easy-to-acquire 13 gas sensors made with a metal oxide semiconductor (MOS). Samples with 15 predetermined alcohol contents were used for the training and construction of the models. For validation, seven different commercial beverages were used. The correlation (R2) of 0.888 for the MLR (RMSE = 0.45) and the error of 5.47% for the ELM (RMSE = 0.33) demonstrate that the equipment can be an effective tool for detecting the levels of alcohol contained in beverages.

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“…Typical e-nose applications, in which VOC analytes are potentially involved, include the discrimination of samples (not necessarily specific analytes) by finding differences in the patterns to identify, for instance, the meat origin [ 153 ], rice aging [ 154 ], beverage brands [ 155 ], coffee beans [ 156 ], or controlled populations of healthy and unhealthy subjects [ 157 , 158 , 159 ]. However, there are also other studies, which target the discrimination of more specific analytes and their concentrations.…”

Section: Enabling the Materials Properties For Their Practical Usementioning

confidence: 99%

VOCs Sensing by Metal Oxides, Conductive Polymers, and Carbon-Based Materials

et al. 2021

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This review summarizes the recent research efforts and developments in nanomaterials for sensing volatile organic compounds (VOCs). The discussion focuses on key materials such as metal oxides (e.g., ZnO, SnO2, TiO2 WO3), conductive polymers (e.g., polypyrrole, polythiophene, poly(3,4-ethylenedioxythiophene)), and carbon-based materials (e.g., graphene, graphene oxide, carbon nanotubes), and their mutual combination due to their representativeness in VOCs sensing. Moreover, it delves into the main characteristics and tuning of these materials to achieve enhanced functionality (sensitivity, selectivity, speed of response, and stability). The usual synthesis methods and their advantages towards their integration with microsystems for practical applications are also remarked on. The literature survey shows the most successful systems include structured morphologies, particularly hierarchical structures at the nanometric scale, with intentionally introduced tunable “decorative impurities” or well-defined interfaces forming bilayer structures. These groups of modified or functionalized structures, in which metal oxides are still the main protagonists either as host or guest elements, have proved improvements in VOCs sensing. The work also identifies the need to explore new hybrid material combinations, as well as the convenience of incorporating other transducing principles further than resistive that allow the exploitation of mixed output concepts (e.g., electric, optic, mechanic).

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Electronic Noses Applications in Beer Technology

Cited by 18 publications

References 61 publications

Detection of Barrett’s oesophagus through exhaled breath using an electronic nose device

Detection of Barrett’s oesophagus through exhaled breath using an electronic nose device

A Prototype to Detect the Alcohol Content of Beers Based on an Electronic Nose

VOCs Sensing by Metal Oxides, Conductive Polymers, and Carbon-Based Materials

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