The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Metal Oxide Sensors for Electronic Noses and Their Application to Food Analysis
Open accessAbstract
Electronic noses (E-noses) use various types of electronic gas sensors that have partial specificity. This review focuses on commercial and experimental E-noses that use metal oxide semi-conductors. The review covers quality control applications to food and beverages, including determination of freshness and identification of contaminants or adulteration. Applications of E-noses to a wide range of foods and beverages are considered, including: meat, fish, grains, alcoholic drinks, non-alcoholic drinks, fruits, milk and dairy products, olive oils, nuts, fresh vegetables and eggs.
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Cites
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The electronic nose applied to dairy products: a review
Ampuero, S., & Bosset, J. O. (2003) · Sensors and Actuators B: Chemical · doi:10.1016/s0925-4005(03)00321-6 · Cited by 485
Semiconducting Metal Oxide Based Sensors for Selective Gas Pollutant Detection
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‘Electronic Noses’ and Their Application to Food
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Electronic nose for monitoring the flavour of beers
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Application of an electronic nose to the discrimination of coffees
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Tea quality prediction using a tin oxide-based electronic nose: an artificial intelligence approach
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Cited by
Towards a Chemiresistive Sensor-Integrated Electronic Nose: A Review
Chiu, S.-W., & Tang, K.-T. (2013) · Sensors · doi:10.3390/s131014214 · Cited by 242
Ngoepe, M., Choonara, Y., Tyagi, C., Tomar, L., Du Toit, L., Kumar, P., Ndesendo, V., & Pillay, V. (2013) · Sensors · doi:10.3390/s130607680 · Cited by 92
Identification of Mint Scents Using a QCM Based E-Nose
Okur, S., Sarheed, M., Huber, R., Zhang, Z., Heinke, L., Kanbar, A., Wöll, C., Nick, P., & Lemmer, U. (2021) · Chemosensors · doi:10.3390/chemosensors9020031 · Cited by 44
Metadata
- Authors
- Berna, A.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2010-04-15
- Volume
- 10
- Issue
- 4
- Pages
- 3882-3910
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2100381264
- Cited by
- 339
- References
- 33
- FWCI
- 9.28
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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