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Electronic Nose/Evidence
Method evidence record

Electronic Nose

An electronic nose (e-nose) is an instrumental analytical device that mimics the mammalian olfactory system to detect and identify volatile organic compounds (odors) in food products. Developed by Persaud and Dodd in 1982, e-noses use arrays of non-selective chemical sensors combined with pattern recognition algorithms to create electronic signatures of food aromas, enabling objective, rapid quality assessment and shelf-life prediction.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Electronic Nose (e-Nose)
Taxonomic method record · process-pipeline / food-science
  • Persaud, K., & Dodd, G. (1982). Analysis of discrimination mechanisms in the mammalian olfactory system using a model nose. Nature, 299(5881), 352-355. · DOI 10.1038/299352a0
  • Peris, M., & Escuder-Gilabert, L. (2009). A 21st century technique for food control: Electronic noses. Analytica Chimica Acta, 638(2), 159-171. · DOI 10.1016/j.aca.2009.02.009
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyGas Chromatography-Olfactometrymachine-suggested · Relational suggestion, not evidence.Same method familyHPLCmachine-suggested · Relational suggestion, not evidence.Same method familyTexture Profile Analysismachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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