Optimization of the Effects of Different Temperatures and Compositions of Filmogenic Solution on <i>Lactobacillus Salivarius</i> Using Predictive Mathematical Models
It is well known that intake of probiotic brings health benefits. Lactic bacteria with probiotic potential have aroused the interest of the industry in developing food products that incorporate such benefits. However, incorporating probiotic bacteria into food is a challenge for the industry, given...
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doaj-1fed027eaf304ac189ec464d1f74caf52020-12-24T00:06:36ZengMDPI AGFoods2304-81582021-12-0110252510.3390/foods10010025Optimization of the Effects of Different Temperatures and Compositions of Filmogenic Solution on <i>Lactobacillus Salivarius</i> Using Predictive Mathematical ModelsShênia Santos Monteiro0Wilton Pereira da Silva1Shirley Santos Monteiro2Josivanda Palmeira Gomes3Emmanuel Moreira Pereira4Alexandre José de Melo Queiroz5Rossana Maria Feitosa de Figueirêdo6Ana Paula Trindade Rocha7Hanndson Araujo Silva8Leyllanne Renalle Batista de Almeida9Mábia Ruana Silva de Sena10Antônio Gilson Barbosa de Lima11Department of Agricultural Engineering, Federal University of Campina Grande, Campina Grande 58428-830, BrazilDepartment of Agricultural Engineering, Federal University of Campina Grande, Campina Grande 58428-830, BrazilDepartment of Agricultural Engineering, Federal University of Campina Grande, Campina Grande 58428-830, BrazilDepartment of Agricultural Engineering, Federal University of Campina Grande, Campina Grande 58428-830, BrazilDepartment of Agriculture, Federal University of Paraiba, Bananeiras 58220-000, BrazilDepartment of Agricultural Engineering, Federal University of Campina Grande, Campina Grande 58428-830, BrazilDepartment of Agricultural Engineering, Federal University of Campina Grande, Campina Grande 58428-830, BrazilDepartment of Agricultural Engineering, Federal University of Campina Grande, Campina Grande 58428-830, BrazilDepartment of Agricultural Engineering, Federal University of Campina Grande, Campina Grande 58428-830, BrazilDepartment of Agricultural Engineering, Federal University of Campina Grande, Campina Grande 58428-830, BrazilDepartment of Agricultural Engineering, Federal University of Campina Grande, Campina Grande 58428-830, BrazilDepartment of Agricultural Engineering, Federal University of Campina Grande, Campina Grande 58428-830, BrazilIt is well known that intake of probiotic brings health benefits. Lactic bacteria with probiotic potential have aroused the interest of the industry in developing food products that incorporate such benefits. However, incorporating probiotic bacteria into food is a challenge for the industry, given the sensitivity of probiotic cultures to process conditions. Therefore, the objective of this study is to evaluate gelatin- and inulin-based filmogenic solutions as a potential vehicle for incorporating probiotics into food products and to model the fermentation kinetics. <i>L. salivarius</i> (<i>Lactobacillus salivarius</i>) growth in filmogenic solutions was analyzed under the influence of a variety gelatin concentrations (1.0–3.0%) and inulin concentrations (4.0–6.0%) and fermented under the effect of different temperatures (25–45 °C). A full 2<sup>3</sup> factorial plan with three replicates at the central point was used to optimize the process. The impacts of process conditions on cell development are fundamental to optimize the process and make it applicable by the industry. The present study showed that the optimal conditions for the development of probiotic cells in filmogenic solutions are a combination of 1.0% gelatin with 4.0% inulin and fermentation temperature of 45 °C. It was observed that the maximum cell growth occurred in an estimated time of about 4 h of fermentation. <i>L. salivarius</i> cell production and substrate consumption during the fermentation of the filmogenic solution were well simulated by a model proposed in this article, with coefficients of determination of 0.981 (cell growth) and 0.991 (substrate consumption).https://www.mdpi.com/2304-8158/10/1/25fermentationinulinpredictive modellingprobiotic |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shênia Santos Monteiro Wilton Pereira da Silva Shirley Santos Monteiro Josivanda Palmeira Gomes Emmanuel Moreira Pereira Alexandre José de Melo Queiroz Rossana Maria Feitosa de Figueirêdo Ana Paula Trindade Rocha Hanndson Araujo Silva Leyllanne Renalle Batista de Almeida Mábia Ruana Silva de Sena Antônio Gilson Barbosa de Lima |
spellingShingle |
Shênia Santos Monteiro Wilton Pereira da Silva Shirley Santos Monteiro Josivanda Palmeira Gomes Emmanuel Moreira Pereira Alexandre José de Melo Queiroz Rossana Maria Feitosa de Figueirêdo Ana Paula Trindade Rocha Hanndson Araujo Silva Leyllanne Renalle Batista de Almeida Mábia Ruana Silva de Sena Antônio Gilson Barbosa de Lima Optimization of the Effects of Different Temperatures and Compositions of Filmogenic Solution on <i>Lactobacillus Salivarius</i> Using Predictive Mathematical Models Foods fermentation inulin predictive modelling probiotic |
author_facet |
Shênia Santos Monteiro Wilton Pereira da Silva Shirley Santos Monteiro Josivanda Palmeira Gomes Emmanuel Moreira Pereira Alexandre José de Melo Queiroz Rossana Maria Feitosa de Figueirêdo Ana Paula Trindade Rocha Hanndson Araujo Silva Leyllanne Renalle Batista de Almeida Mábia Ruana Silva de Sena Antônio Gilson Barbosa de Lima |
author_sort |
Shênia Santos Monteiro |
title |
Optimization of the Effects of Different Temperatures and Compositions of Filmogenic Solution on <i>Lactobacillus Salivarius</i> Using Predictive Mathematical Models |
title_short |
Optimization of the Effects of Different Temperatures and Compositions of Filmogenic Solution on <i>Lactobacillus Salivarius</i> Using Predictive Mathematical Models |
title_full |
Optimization of the Effects of Different Temperatures and Compositions of Filmogenic Solution on <i>Lactobacillus Salivarius</i> Using Predictive Mathematical Models |
title_fullStr |
Optimization of the Effects of Different Temperatures and Compositions of Filmogenic Solution on <i>Lactobacillus Salivarius</i> Using Predictive Mathematical Models |
title_full_unstemmed |
Optimization of the Effects of Different Temperatures and Compositions of Filmogenic Solution on <i>Lactobacillus Salivarius</i> Using Predictive Mathematical Models |
title_sort |
optimization of the effects of different temperatures and compositions of filmogenic solution on <i>lactobacillus salivarius</i> using predictive mathematical models |
publisher |
MDPI AG |
series |
Foods |
issn |
2304-8158 |
publishDate |
2021-12-01 |
description |
It is well known that intake of probiotic brings health benefits. Lactic bacteria with probiotic potential have aroused the interest of the industry in developing food products that incorporate such benefits. However, incorporating probiotic bacteria into food is a challenge for the industry, given the sensitivity of probiotic cultures to process conditions. Therefore, the objective of this study is to evaluate gelatin- and inulin-based filmogenic solutions as a potential vehicle for incorporating probiotics into food products and to model the fermentation kinetics. <i>L. salivarius</i> (<i>Lactobacillus salivarius</i>) growth in filmogenic solutions was analyzed under the influence of a variety gelatin concentrations (1.0–3.0%) and inulin concentrations (4.0–6.0%) and fermented under the effect of different temperatures (25–45 °C). A full 2<sup>3</sup> factorial plan with three replicates at the central point was used to optimize the process. The impacts of process conditions on cell development are fundamental to optimize the process and make it applicable by the industry. The present study showed that the optimal conditions for the development of probiotic cells in filmogenic solutions are a combination of 1.0% gelatin with 4.0% inulin and fermentation temperature of 45 °C. It was observed that the maximum cell growth occurred in an estimated time of about 4 h of fermentation. <i>L. salivarius</i> cell production and substrate consumption during the fermentation of the filmogenic solution were well simulated by a model proposed in this article, with coefficients of determination of 0.981 (cell growth) and 0.991 (substrate consumption). |
topic |
fermentation inulin predictive modelling probiotic |
url |
https://www.mdpi.com/2304-8158/10/1/25 |
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