Comparison of different chemometric methods in quantifying total volatile basic-nitrogen (TVB-N) content in chicken meat using a fabricated colorimetric sensor array

RSC Advances

Volumn 6, Issue 6, 2016, Pages 4663-4672

  Khulal, Urmila ^a   Zhao, Jiewen ^a   Hu, Weiwei ^a   Chen, Quansheng ^a  

^a JIANGSU UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE BOOSTING; ANIMALS; BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; CHROMATOGRAPHY; COLOR; COLORIMETRIC ANALYSIS; COLORIMETRY; COST BENEFIT ANALYSIS; NEURAL NETWORKS; NITROGEN; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); SILICA GEL; SUPPORT VECTOR MACHINES; VOLATILE ORGANIC COMPOUNDS;

BACK PROPAGATION ARTIFICIAL NEURAL NETWORK (BPANN); CHEMOMETRIC ANALYSIS; COLORIMETRIC SENSOR ARRAYS; PARTIAL LEAST SQUARES REGRESSIONS (PLSR); PREDICTIVE PRECISION; QUANTITATIVE DETERMINATIONS; SUPPORT VECTOR MACHINE REGRESSIONS; TOTAL VOLATILE BASIC NITROGENS;

LEAST SQUARES APPROXIMATIONS;

EID: 84955240310     PISSN: None     EISSN: 20462069     Source Type: Journal    
DOI: 10.1039/c5ra25375f     Document Type: Article

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