Detection and quantification of peanut traces in wheat flour by near infrared hyperspectral imaging spectroscopy using principal-component analysis

Journal of Near Infrared Spectroscopy

Volumn 23, Issue 1, 2015, Pages 15-22

  Mishra, Puneet ^a   Herrero Langreo, Ana ^b   Barreiro, Pilar ^a   Roger, Jean Michel ^b   Diezma, Belén ^a   Gorretta, Nathalie ^b   Lleó, Lourdes ^a  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

^b UMR ITAP   (France)

Author keywords

Adulteration; Classification; Food; Hyperspectral; NIR; Peanut; Principal component analysis

Indexed keywords

BINARY IMAGES; BIOMATERIALS; CHEMICAL DETECTION; CLASSIFICATION (OF INFORMATION); FOOD PRODUCTS; HYPERSPECTRAL IMAGING; IMAGE ENHANCEMENT; INFRARED DEVICES; OILSEEDS; POLYMERASE CHAIN REACTION; QUALITY CONTROL; SPECTROSCOPY;

ADULTERATION; DETECTION AND QUANTIFICATIONS; ENZYME LINKED IMMUNOSORBENT ASSAY; HYPERSPECTRAL; NEAR-INFRARED HYPERSPECTRAL IMAGING; NIR HYPERSPECTRAL IMAGING; PEANUT; REAL-TIME POLYMERASE CHAIN REACTION;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84926394282     PISSN: 09670335     EISSN: 17516552     Source Type: Journal    
DOI: 10.1255/jnirs.1141     Document Type: Article

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