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Liu S, Contreras F, Alemán RS, Fuentes JM, Arango O, Castillo M. Validation of an Optical Technology for the Determination of pH in Milk during Yogurt Manufacture. Foods 2024; 13:2766. [PMID: 39272531 PMCID: PMC11394621 DOI: 10.3390/foods13172766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Revised: 08/08/2024] [Accepted: 08/16/2024] [Indexed: 09/15/2024] Open
Abstract
Current systems that allow inline pH control in the fermented dairy industry have drawbacks, such as protein adhesion on the non-glass pH probes, measurement distortion, frequent recalibration needs, and sensitivity to extreme pH conditions encountered during clean-in-place operations. Therefore, the objective of this study was to validate the feasibility of estimating the pH of milk during the yogurt making process by using a NIR light backscatter sensor measuring under different fermentation temperatures and milk protein concentrations using a mathematical model that correlates the light scatter signal with pH. Three replications of the experiment with two protein concentrations (3.5 and 4.0%) and two fermentation temperatures (43 and 46 °C) were used to validate this inline pH prediction model. Continuous and discontinuous measurements of pH were collected as a reference during fermentation, simultaneously with the light backscatter data acquisition. Also, the effect of adjusting the initial voltage gain of the light scatter device on the accuracy of the pH prediction model was evaluated. Temperature and initial voltage were the main factors affecting the fitting accuracy of the model. The adjustment of the initial voltage gain improved the pH prediction model fit. The model has been successfully validated for both continuous and discontinuous measurements of pH, with SEP values < 0.09 pH units and CV < 1.78%. The proposed optical inline and non-destructive method was feasible for inline pH monitoring of milk fermentation, avoiding traditional manual pH measurement.
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Affiliation(s)
- Siqi Liu
- Centre d'Innovació, Recerca i Transferència en Tecnologia dels Aliments (CIRTTA), Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
| | - Fanny Contreras
- Department of Poultry Science, Auburn University, Auburn, AL 36849, USA
| | - Ricardo S Alemán
- School of Nutrition and Food Sciences, Louisiana State University Agricultural Center, Baton Rouge, LA 70802, USA
| | - Jhunior Marcía Fuentes
- Faculty of Technological Science, Universidad Nacional de Agricultura, Catacamas 16201, Honduras
| | - Oscar Arango
- Faculty of Agroindustrial Engineering, Universidad de Nariño, Ciudad Universitaria Torobajo, Pasto 47154, Colombia
| | - Manuel Castillo
- Centre d'Innovació, Recerca i Transferència en Tecnologia dels Aliments (CIRTTA), Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
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Morais R, Soares PI, Morais SK, Oriente S, Nascimento A, Melo MO, Sousa FM, Cavalcanti-Mata M, Lisboa HM, Gusmão RP, Abrantes T. Development and Characterization of Symbiotic Buffalo Petit Suisse Cheese Utilizing Whey Retention and Inulin Incorporation. Foods 2023; 12:4343. [PMID: 38231859 DOI: 10.3390/foods12234343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 11/26/2023] [Accepted: 11/28/2023] [Indexed: 01/19/2024] Open
Abstract
This study presents the development and characterization of a novel buffalo Petit Suisse cheese, enhanced with symbiotic properties through an innovative whey retention method and incorporating inulin and xanthan gum. The research focused on assessing the cheese's physicochemical properties, shelf life, lactic acid bacteria viability, syneresis behavior, and the impact of varying concentrations of functional ingredients. The addition of inulin and xanthan gum, following a design of experiments, significantly influenced the cheese's texture and consistency. Higher inulin concentrations were associated with increased fermentation activity, as indicated by total titratable acidity, which showed an increase from 1.22% to 1.50% over a 28-day period, and pH levels that decreased from 3.33 to 2.96. The syneresis index varied across trials, with the highest reduction observed in trials with increased xanthan gum concentrations, effectively reducing syneresis to 0%. Lactic acid bacteria viability also showed notable variations, with the highest cell survival percentage reaching 107.89% in formulations with higher inulin and xanthan gum concentrations. These results underscore the importance of inulin and xanthan gum in enhancing the cheese's microbial stability and textural quality. The study concludes that the strategic use of inulin and xanthan gum improves the nutritional profile of buffalo Petit Suisse cheese and optimizes its textural and sensory attributes.
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Affiliation(s)
- Rebeca Morais
- Food Engineering Department, Universidade Federal Campina Grande, Av. Aprígio Veloso 882, Campina Grande 58429-900, Paraíba, Brazil
| | - Pedro Ivo Soares
- Food Engineering Department, Universidade Federal Campina Grande, Av. Aprígio Veloso 882, Campina Grande 58429-900, Paraíba, Brazil
| | - Sinthya Kelly Morais
- Food Engineering Department, Universidade Federal Campina Grande, Av. Aprígio Veloso 882, Campina Grande 58429-900, Paraíba, Brazil
| | - Suelma Oriente
- Food Engineering Department, Universidade Federal Campina Grande, Av. Aprígio Veloso 882, Campina Grande 58429-900, Paraíba, Brazil
| | - Amanda Nascimento
- Food Engineering Department, Universidade Federal Campina Grande, Av. Aprígio Veloso 882, Campina Grande 58429-900, Paraíba, Brazil
| | - Mylena Olga Melo
- Food Engineering Department, Universidade Federal Campina Grande, Av. Aprígio Veloso 882, Campina Grande 58429-900, Paraíba, Brazil
| | - Francisca Moises Sousa
- Food Engineering Department, Universidade Federal Campina Grande, Av. Aprígio Veloso 882, Campina Grande 58429-900, Paraíba, Brazil
| | - Mario Cavalcanti-Mata
- Food Engineering Department, Universidade Federal Campina Grande, Av. Aprígio Veloso 882, Campina Grande 58429-900, Paraíba, Brazil
| | - Hugo M Lisboa
- Food Engineering Department, Universidade Federal Campina Grande, Av. Aprígio Veloso 882, Campina Grande 58429-900, Paraíba, Brazil
| | - Rennan Pereira Gusmão
- Food Engineering Department, Universidade Federal Campina Grande, Av. Aprígio Veloso 882, Campina Grande 58429-900, Paraíba, Brazil
| | - Thaisa Abrantes
- Food Engineering Department, Universidade Federal Campina Grande, Av. Aprígio Veloso 882, Campina Grande 58429-900, Paraíba, Brazil
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Panikuttira B, Payne FA, O'Shea N, Tobin JT, O'Callaghan DJ, O'Donnell CP. Investigation of an in‐line prototype fluorescence and infrared backscatter sensor to monitor rennet‐induced coagulation of skim milk at different protein concentrations. Int J Food Sci Technol 2019. [DOI: 10.1111/ijfs.14267] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Bhavya Panikuttira
- School of Biosystems and Food Engineering University College Dublin Belfield, D4 Dublin Ireland
- Food Chemistry and Technology Department Teagasc Food Research Centre Moorepark Fermoy, Cork Ireland
| | - Fred A. Payne
- Biosystems and Agricultural Engineering Department University of Kentucky Lexington KY40546Kentucky
| | - Norah O'Shea
- Food Chemistry and Technology Department Teagasc Food Research Centre Moorepark Fermoy, Cork Ireland
| | - John T. Tobin
- Food Chemistry and Technology Department Teagasc Food Research Centre Moorepark Fermoy, Cork Ireland
| | - Donal J. O'Callaghan
- Food Chemistry and Technology Department Teagasc Food Research Centre Moorepark Fermoy, Cork Ireland
| | - Colm P. O'Donnell
- School of Biosystems and Food Engineering University College Dublin Belfield, D4 Dublin Ireland
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Salvador D, Arango O, Castillo M. In-line estimation of the elastic module of milk gels with variation of temperature protein concentration. Int J Food Sci Technol 2018. [DOI: 10.1111/ijfs.13944] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Daniel Salvador
- Departament de Ciència Animal i dels Aliments; Centre d'Innovació, Recerca i Transferència en Tecnologia dels Aliments (CIRTTA); Universitat Autònoma de Barcelona; Edifici V - Campus de la UAB 08193 Bellaterra (Cerdanyola del Valles) Barcelona Spain
| | - Oscar Arango
- Facultad de Ingeniería Agroindustrial; Ciudad Universitaria Torobajo; Universidad de Nariño; calle 18 carrera 50 Pasto Nariño Colombia
| | - Manuel Castillo
- Departament de Ciència Animal i dels Aliments; Centre d'Innovació, Recerca i Transferència en Tecnologia dels Aliments (CIRTTA); Universitat Autònoma de Barcelona; Edifici V - Campus de la UAB 08193 Bellaterra (Cerdanyola del Valles) Barcelona Spain
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