The dangers of creating false classifications due to noise in electronic nose and similar multivariate analyses

Sensors and Actuators, B: Chemical

Volumn 80, Issue 3, 2001, Pages 261-266

  Goodner, Kevin L ^a   Dreher, J Glen ^b   Rouseff, Russell L ^b  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

Author keywords

Chemical sensor; Chemometrics; Statistics

Indexed keywords

CHEMICAL SENSORS; DATA REDUCTION; PRINCIPAL COMPONENT ANALYSIS;

ELECTRONIC NOISE;

SPURIOUS SIGNAL NOISE;

EID: 0035545690     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-4005(01)00917-0     Document Type: Article

References (10)

1. Fishy business in the laboratory
2. The electronic nose - Potential applications in the brewing industry
3. Applications of an electronic nose in the food and drink industry
4. Statistical correlation of quantitative flavor intensity assessments and individual free fatty-acid measurements for routine detection and prediction of hydrolytic rancidity off-flavors in butter
5. Deconvolution of gas chromatographic profiles for multicomponent model mixtures and essential oils by the simplex algorithm
6. Dravnieks approaches to subjective/objective correlations in flavor
7. Pattern-recognition used to investigate multivariate data in analytical-chemistry