Electronic nose guided determination of frying disposal time of sunflower oil using fuzzy logic analysis

Food Chemistry

Volumn 221, Issue , 2017, Pages 379-385

  Upadhyay, Rohit ^a   Sehwag, Sneha ^a   Mishra, Hari Niwas ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Electronic nose; Fuzzy logic analysis; Rosemary (Rosmarinus officinalis L.); Sunflower oil; Total polar compounds

Indexed keywords

COMPUTER CIRCUITS; FUZZY LOGIC; METALS; MOS DEVICES; OXIDE SEMICONDUCTORS; PRINCIPAL COMPONENT ANALYSIS; RECONFIGURABLE HARDWARE; SUNFLOWER OIL; VOLATILE ORGANIC COMPOUNDS;

ELECTRONIC NOSE (E-NOSE); FUZZY LOGIC ANALYSIS; HIER-ARCHICAL CLUSTERING; METAL-OXIDE SEMICONDUCTOR SENSORS; MOS SENSORS; POLAR COMPOUNDS; PRINCIPAL COMPONENT SPACE; ROSMARINUS OFFICINALIS;

ELECTRONIC NOSE;

CHEMICAL COMPOUND; DIMER; METAL OXIDE; ORGANIC SOLVENT; POLYMER; SUNFLOWER OIL; TRIACYLGLYCEROL; VEGETABLE OIL; VOLATILE ORGANIC COMPOUND;

ARTICLE; CONTROLLED STUDY; COOKING; CORRELATION ANALYSIS; DISCRIMINANT ANALYSIS; ELECTRONIC NOSE; FOOD QUALITY; FRYING; FUZZY LOGIC; NONHUMAN; ODOR; PRINCIPAL COMPONENT ANALYSIS; ROSEMARY; SEMICONDUCTOR; SUNFLOWER; TIME; CHEMISTRY;

COOKING; ELECTRONIC NOSE; FUZZY LOGIC; PLANT OILS; SEMICONDUCTORS; TRIGLYCERIDES; VOLATILE ORGANIC COMPOUNDS;

EID: 84992504753     PISSN: 03088146     EISSN: 18737072     Source Type: Journal    
DOI: 10.1016/j.foodchem.2016.10.089     Document Type: Article

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