A 21st century technique for food control: Electronic noses
Top Cited Papers
- 6 April 2009
- journal article
- review article
- Published by Elsevier BV in Analytica Chimica Acta
- Vol. 638 (1), 1-15
- https://doi.org/10.1016/j.aca.2009.02.009
Abstract
No abstract availableKeywords
This publication has 68 references indexed in Scilit:
- Independent component analysis-processed electronic nose data for predicting Salmonella typhimurium populations in contaminated beefFood Control, 2008
- Prediction of soluble solids content, firmness and pH of pear by signals of electronic nose sensorsAnalytica Chimica Acta, 2008
- Discrimination of eight varieties of apricot (Prunus armeniaca) by electronic nose, LLE and SPME using GC–MS and multivariate analysisSensors and Actuators B: Chemical, 2007
- Characterization and discrimination of different aged ‘Aceto Balsamico Tradizionale di Modena’ products by head space mass spectrometry and chemometricsAnalytica Chimica Acta, 2007
- Evaluation of tomato maturity by electronic noseComputers and Electronics in Agriculture, 2006
- Data analysis for electronic nose systemsMicrochimica Acta, 2006
- Geographical origin and authentication of extra virgin olive oils by an electronic nose in combination with artificial neural networksAnalytica Chimica Acta, 2006
- Chemical Sensors for Electronic Nose SystemsMicrochimica Acta, 2004
- Recognition of adulteration of Italian wines by thin-film multisensor array and artificial neural networksAnalytica Chimica Acta, 2004
- Electronic nose based on metal oxide semiconductor sensors as a fast alternative for the detection of adulteration of virgin olive oilsAnalytica Chimica Acta, 2002