Application of volatile and spectral profiling together with multimode data fusion strategy for the discrimination of preserved eggs.
Food Chem
; 343: 128515, 2021 May 01.
Article
em En
| MEDLINE
| ID: mdl-33160772
ABSTRACT
The maturity level of eggs during pickling is conventionally assessed by choosing few eggs from each curing batch to crack open. Yet, this method is destructive, creates waste and has consequences for financial losses. In this work, the feasibility of integrating electronic nose (EN) with reflectance hyperspectral (RH) and transmittance hyperspectral (TH) data for accurate classification of preserved eggs (PEs) at different maturation periods was investigated. Classifier models based solely on RH and TH with EN achieved a training accuracy (93.33%, 97.78%) and prediction accuracy (88.89%; 93.33%) respectively. The fusion of the three datasets, (EN + RH + TH) as a single classifier model yielded an overall training accuracy of 98.89% and prediction accuracy of 95.56%. Also, 52 volatile compounds were obtained from the PE headspace, of which 32 belonged to seven functional groups. This study demonstrates the ability to integrate EN with RH and TH data to effectively identify PEs during processing.
Palavras-chave
1-Hexanol (PubChem CID: 8103); 2-Heptanone (PubChem CID: 8051); 2-Methylpyrazine (PubChem CID: 7976); Data fusion; Dimethyl trisulfide (PubChem CID: 19310); Ethyl propionate (PubChem CID: 7749); Furfural (PubChem CID: 7362); Heptanal (PubChem CID: 8130); Hyperspectral imaging; Isobutyraldehyde (PubChem CID: 6561); Maturity discrimination; Nondestructive detection; Pentanal (PubChem CID: 8063); Preserved eggs; Styrene (PubChem CID: 7501); Volatile organic compounds
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Ovos
/
Compostos Orgânicos Voláteis
/
Nariz Eletrônico
/
Conservação de Alimentos
/
Imageamento Hiperespectral
Tipo de estudo:
Prognostic_studies
Limite:
Animals
Idioma:
En
Revista:
Food Chem
Ano de publicação:
2021
Tipo de documento:
Article