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Sensory evaluation of microwave-ultrasound treated bottle gourd juice using hybrid features of fuzzy logic and proportional odd modelling approach.
Das, Manas Jyoti; Chakraborty, Sourav; Deka, Sankar Chandra.
Afiliación
  • Das MJ; Department of Food Engineering and Technology, Tezpur University, Napaam, Sonitpur, Assam India.
  • Chakraborty S; Department of Food Engineering and Technology, Tezpur University, Napaam, Sonitpur, Assam India.
  • Deka SC; Department of Food Engineering and Technology, Tezpur University, Napaam, Sonitpur, Assam India.
J Food Sci Technol ; 59(12): 4624-4633, 2022 Dec.
Article en En | MEDLINE | ID: mdl-36276530
ABSTRACT
In the present investigation, sensory evaluation of bottle gourd juice (BGJ) samples, obtained from microwave-ultrasound based combined treatment was performed. The raw (sample-1) and conventionally treated (sample-2) alongside microwave-ultrasound treated (sample-3) were considered for the assessment of sensory evaluation. An innovative approach of hybrid fuzzy logic and proportional odd modelling (FL-POM) was implemented for the analysis of the sensory scores. The similarity values for the juice samples and their quality attributes were resolved from the results obtained by fuzzy logic. These values were considered as input for hybridization with the POM approach. The assessed coefficients obtained from the results of POM were considered for the ranking of the samples and quality traits. The ranking of the BGJ samples was observed in the order of sample-1 > sample-3 > sample-2, and their related quality attributes ranked in the order color > taste > aroma > mouth feel. The microwave-ultrasound treated BGJ evinced as the best sample in comparison to the raw one.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Food Sci Technol Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Food Sci Technol Año: 2022 Tipo del documento: Article