Application of Organic Acid Based Artificial Neural Network Modeling for Assessment of Commercial Vinegar Authenticity

Food Analytical Methods

Volumn 9, Issue 12, 2016, Pages 3451-3459

  Hajimahmoodi, Mannan ^a,b   Khanavi, Mahnaz ^a   Sadeghpour, Omid ^c   Ardekani, Mohammad Reza Shams ^a   Mazde, Fatemeh Zamani ^b   Khoddami, Mina Sadat ^d   Afzalifard, Sheida ^e   Ranjbar, Ali Mohammad ^c,d  

^a TEHRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^b TEHRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^c IRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^d SHAHID SADOUGHI UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^e YAZD UNIVERSITY   (Iran)

Author keywords

ANN modeling; HPLC; Organic acid; Vinegar

Indexed keywords

ACETIC ACID; ASCORBIC ACID; BACKPROPAGATION; CHROMATOGRAPHY; FOOD SUPPLY; FRUITS; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; LACTIC ACID; LIQUID CHROMATOGRAPHY; NEURAL NETWORKS; ORGANIC ACIDS; PLANTS (BOTANY); PROPIONIC ACID;

ANN MODELING; ARTIFICIAL NEURAL NETWORK MODELING; COMPUTATIONAL ANALYSIS; DETERMINATION OF ORGANIC ACIDS; HPLC; LIMIT OF QUANTIFICATIONS; MULTILAYER FEEDFORWARD NEURAL NETWORKS; VINEGAR;

OXALIC ACID;

EID: 84969903592     PISSN: 19369751     EISSN: 1936976X     Source Type: Journal    
DOI: 10.1007/s12161-016-0510-x     Document Type: Article

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