Factors affecting buffalo Mozzarella cheese yield: a study using regression analysis

Detalhes bibliográficos
Autor(a) principal: SALES,Danielle Cavalcanti
Data de Publicação: 2021
Outros Autores: URBANO,Stela Antas, LIMA JÚNIOR,Dorgival Morais de, GALVÃO JÚNIOR,José Geraldo Bezerra, BRITO,André F., CIPOLAT-GOTET,Claudio, BORBA,Luís Henrique Fernandes, RANGEL,Adriano Henrique do Nascimento
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Food Science and Technology (Campinas)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612021000400852
Resumo: Abstract Cheese production such as mozzarella is affected by several factors including the processing technology (e.g., cuts, fermentation, curd stretching), as well as quantity and quality of raw materials and other ingredients. The aim of this study was to investigate the relationship between mozzarella cheese yield and buffalo milk composition, processing factors, and losses of whey constituents using polynomial regression and adjusted R2. All regression coefficients associated with each explanatory variable were significantly different from zero. The models explained an average of 99% of the variation in the dataset. The regression models showed that the concentration of milk components (e.g., fat, protein, casein, lactose, total solids), somatic cell score, age and acidity of the starter culture, time between curd cuts, and percentage of lost whey constituents highly influenced the mozzarella cheese yield. The buffalo dairy industry should focus on rigorous control of milk quality and processing factors to standardize and optimize mozzarella cheese yield efficiency.
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spelling Factors affecting buffalo Mozzarella cheese yield: a study using regression analysischeese manufacturedairy industryefficiencylosses of constituentsmilkAbstract Cheese production such as mozzarella is affected by several factors including the processing technology (e.g., cuts, fermentation, curd stretching), as well as quantity and quality of raw materials and other ingredients. The aim of this study was to investigate the relationship between mozzarella cheese yield and buffalo milk composition, processing factors, and losses of whey constituents using polynomial regression and adjusted R2. All regression coefficients associated with each explanatory variable were significantly different from zero. The models explained an average of 99% of the variation in the dataset. The regression models showed that the concentration of milk components (e.g., fat, protein, casein, lactose, total solids), somatic cell score, age and acidity of the starter culture, time between curd cuts, and percentage of lost whey constituents highly influenced the mozzarella cheese yield. The buffalo dairy industry should focus on rigorous control of milk quality and processing factors to standardize and optimize mozzarella cheese yield efficiency.Sociedade Brasileira de Ciência e Tecnologia de Alimentos2021-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612021000400852Food Science and Technology v.41 n.4 2021reponame:Food Science and Technology (Campinas)instname:Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)instacron:SBCTA10.1590/fst.25620info:eu-repo/semantics/openAccessSALES,Danielle CavalcantiURBANO,Stela AntasLIMA JÚNIOR,Dorgival Morais deGALVÃO JÚNIOR,José Geraldo BezerraBRITO,André F.CIPOLAT-GOTET,ClaudioBORBA,Luís Henrique FernandesRANGEL,Adriano Henrique do Nascimentoeng2021-12-10T00:00:00Zoai:scielo:S0101-20612021000400852Revistahttp://www.scielo.br/ctaONGhttps://old.scielo.br/oai/scielo-oai.php||revista@sbcta.org.br1678-457X0101-2061opendoar:2021-12-10T00:00Food Science and Technology (Campinas) - Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)false
dc.title.none.fl_str_mv Factors affecting buffalo Mozzarella cheese yield: a study using regression analysis
title Factors affecting buffalo Mozzarella cheese yield: a study using regression analysis
spellingShingle Factors affecting buffalo Mozzarella cheese yield: a study using regression analysis
SALES,Danielle Cavalcanti
cheese manufacture
dairy industry
efficiency
losses of constituents
milk
title_short Factors affecting buffalo Mozzarella cheese yield: a study using regression analysis
title_full Factors affecting buffalo Mozzarella cheese yield: a study using regression analysis
title_fullStr Factors affecting buffalo Mozzarella cheese yield: a study using regression analysis
title_full_unstemmed Factors affecting buffalo Mozzarella cheese yield: a study using regression analysis
title_sort Factors affecting buffalo Mozzarella cheese yield: a study using regression analysis
author SALES,Danielle Cavalcanti
author_facet SALES,Danielle Cavalcanti
URBANO,Stela Antas
LIMA JÚNIOR,Dorgival Morais de
GALVÃO JÚNIOR,José Geraldo Bezerra
BRITO,André F.
CIPOLAT-GOTET,Claudio
BORBA,Luís Henrique Fernandes
RANGEL,Adriano Henrique do Nascimento
author_role author
author2 URBANO,Stela Antas
LIMA JÚNIOR,Dorgival Morais de
GALVÃO JÚNIOR,José Geraldo Bezerra
BRITO,André F.
CIPOLAT-GOTET,Claudio
BORBA,Luís Henrique Fernandes
RANGEL,Adriano Henrique do Nascimento
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv SALES,Danielle Cavalcanti
URBANO,Stela Antas
LIMA JÚNIOR,Dorgival Morais de
GALVÃO JÚNIOR,José Geraldo Bezerra
BRITO,André F.
CIPOLAT-GOTET,Claudio
BORBA,Luís Henrique Fernandes
RANGEL,Adriano Henrique do Nascimento
dc.subject.por.fl_str_mv cheese manufacture
dairy industry
efficiency
losses of constituents
milk
topic cheese manufacture
dairy industry
efficiency
losses of constituents
milk
description Abstract Cheese production such as mozzarella is affected by several factors including the processing technology (e.g., cuts, fermentation, curd stretching), as well as quantity and quality of raw materials and other ingredients. The aim of this study was to investigate the relationship between mozzarella cheese yield and buffalo milk composition, processing factors, and losses of whey constituents using polynomial regression and adjusted R2. All regression coefficients associated with each explanatory variable were significantly different from zero. The models explained an average of 99% of the variation in the dataset. The regression models showed that the concentration of milk components (e.g., fat, protein, casein, lactose, total solids), somatic cell score, age and acidity of the starter culture, time between curd cuts, and percentage of lost whey constituents highly influenced the mozzarella cheese yield. The buffalo dairy industry should focus on rigorous control of milk quality and processing factors to standardize and optimize mozzarella cheese yield efficiency.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612021000400852
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/fst.25620
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Sociedade Brasileira de Ciência e Tecnologia de Alimentos
publisher.none.fl_str_mv Sociedade Brasileira de Ciência e Tecnologia de Alimentos
dc.source.none.fl_str_mv Food Science and Technology v.41 n.4 2021
reponame:Food Science and Technology (Campinas)
instname:Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)
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reponame_str Food Science and Technology (Campinas)
collection Food Science and Technology (Campinas)
repository.name.fl_str_mv Food Science and Technology (Campinas) - Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)
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