Document
type: Class

Continuant
type: Class

Entity
type: Class

Generically Dependent Continuant
type: Class

Optimization, Modeling, and Online Monitoring of the Enzymatic Extraction of Banana Juice
abstract: This article focuses on the optimization, modeling, and online monitoring of banana juice production through an enzymatic method. In order to perform this task, a batch reactor was designed with automatic control over the temperature and the agitation speed as well as online monitoring of torque. The experiments were carried out with the Musa AAA Cavendish banana variety (Enano gigante), the main variety planted in Mexico. Three different ripening stages were evaluated. Optimization of juice extraction was evaluated as a function of the pulp/water relationship and the concentration of the enzyme complex. The results showed that the adding of water had no influence on the extraction of banana juice, and the optimal enzyme concentration per kilogram of banana pulp was found. Based on a fuzzy logic approach, it was possible to relate the initial torque with the ripeness stage. Furthermore, an observable dynamical model based on ordinary differential equations and fuzzy logic is presented. With this model, the relationship between the torque dynamic and the instant juice yield was found to depend on the amount of enzyme, the temperature, and the maturity stage of the banana used. In addition, a principal components analysis was used to classify and to relate the final juice characteristics (e.g., L, a, and b colorimetric components) to the processing conditions and the final appreciation of a group of sensorial panelists. Additionally, a robust observer was designed and implemented to filter the noise present in the torque signal and to predict the instant juice yield. © 2013 Springer Science%2bBusiness Media New York.
type: Continuant
date time value: article date 3706
volume: 7
most specific type: Article
abstract: This article focuses on the optimization, modeling, and online monitoring of banana juice production through an enzymatic method. In order to perform this task, a batch reactor was designed with automatic control over the temperature and the agitation speed as well as online monitoring of torque. The experiments were carried out with the Musa AAA Cavendish banana variety (Enano gigante), the main variety planted in Mexico. Three different ripening stages were evaluated. Optimization of juice extraction was evaluated as a function of the pulp/water relationship and the concentration of the enzyme complex. The results showed that the adding of water had no influence on the extraction of banana juice, and the optimal enzyme concentration per kilogram of banana pulp was found. Based on a fuzzy logic approach, it was possible to relate the initial torque with the ripeness stage. Furthermore, an observable dynamical model based on ordinary differential equations and fuzzy logic is presented. With this model, the relationship between the torque dynamic and the instant juice yield was found to depend on the amount of enzyme, the temperature, and the maturity stage of the banana used. In addition, a principal components analysis was used to classify and to relate the final juice characteristics (e.g., L, a, and b colorimetric components) to the processing conditions and the final appreciation of a group of sensorial panelists. Additionally, a robust observer was designed and implemented to filter the noise present in the torque signal and to predict the instant juice yield. © 2013 Springer Science Business Media New York.
related by: authorship_21294
issue: 1
type: Thing
e iscopus: 2-s2.0-84891628014
has publication venue: Food and Bioprocess Technology
related by: authorship_21296
crisid: 3706
type: Information Content Entity
related by: authorship_21293
most specific type: Document
doi: 10.1007/s11947-013-1136-2
related by: authorship_21291
type: Document
related by: authorship_21295
type: Generically Dependent Continuant
related by: authorship_21292
page end: 83
type: Article
freetext keyword: Banana; Juice; Modeling; Observer; Optimization; Processing Banana; Enzymatic extraction; Enzyme concentrations; Fuzzy logic approach; Juice; Observer; Principal components analysis; Processing condition; Automation; Batch reactors; Colorimetric analysis; Control; Enzymes; Extraction; Fruits; Fuzzy logic; Models; Ordinary differential equations; Partial discharges; Principal component analysis; Processing; Torque; Optimization; Musa; Musa acuminata
related by: authorship_21290
type: Entity
estado: published
origen: scopus
page start: 71
has funding vehicle: Consejo Nacional de Ciencia y Tecnología, CONACYT: 169048
related by: authorship_21297

RDF description of Optimization, Modeling, and Online Monitoring of the Enzymatic Extraction of Banana Juice - http://orbis.uaslp.mx/vivo/individual/scopus3705
rights: termsOfUse
date: 2026-08-28T02:11:30
publisher: vivo
type: Document

Article
type: Class

Information Content Entity
type: Class

Consejo Nacional de Ciencia y Tecnología, CONACYT: 169048
type: Relationship
type: BFO_0000020
type: Entity
type: Thing
type: Grant
type: Continuant
funding vehicle for: Optimization, Modeling, and Online Monitoring of the Enzymatic Extraction of Banana Juice

Food and Bioprocess Technology
type: Continuant
publication venue for: Optimization, Modeling, and Online Monitoring of the Enzymatic Extraction of Banana Juice
type: Information Content Entity
type: Entity
type: Thing
type: Collection
type: Journal
type: Document
type: Periodical
type: Generically Dependent Continuant