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Molecular diagnostics for the prediction and improvement of mixed starter culture performance in cheese production

Molecular diagnostics for the prediction and improvement of mixed starter culture performance in cheese production
用于预测和改进奶酪生产中混合发酵剂性能的分子诊断
批准号:
381710-2009
负责人:
LaPointe, Gisèle
金额:
$9.77万
依托单位:
依托单位国家:
加拿大
项目类别:
Strategic Projects - Group
财政年份:
2011
资助国家:
加拿大
项目状态:
已结题
起止时间:
2011-01-01 至 2012-12-31

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中文摘要
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英文摘要
In 2007, dairy products sales were evaluated at $11.6 billion, accounting for 15% of the Canadian food and beverage sector. Cheddar production continues to increase, hitting 67,127,000 kg in 2008 for Quebec alone, which is 46.5% of Canada's production of Cheddar cheese. Cheeses represent 24.6% of Canadian dairy product exports, but these exports make up only 1% of dairy products on the international market. The large quantity of lactic starter cultures required for making this amount of cheese represents an important investment and any problems with quality control can lead to considerable losses due to fermentation or ripening failures. For Cheddar cheese, starters are composed of mixed strains of Lactococcus lactis subsp. cremoris and there is a strong relationship between cheese quality and flavour and the technological aptitudes of the lactococcal strains used. However, not all strains are compatible in mixed culture and may produce undesired effects such as bitter or off-flavours in the cheese that are only detected after the costly ripening period, resulting in cheese downgrading and loss of consumer confidence. Many strains become sensitive to phage attack, and must be replaced. Thus, considerable effort in time and money is put into characterization and evaluation of the performance of lactococcal strains by conventional methods in terms of their metabolic activities. A rational choice of industrial strains must be founded on objective criteria of technological aptitude and performance, which could be facilitated using innovative predictive modelling issuing from a deeper understanding of strain stability and compatibility that will be revealed through gene and protein expression. The aim of this project is to predict milk fermentation performance by classifying gene and protein expression profiles as indicators of
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Polysaccharide production and degradation by bacteria in food and gastrointestinal systems
  • 批准号:
    RGPIN-2020-04484
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.91万
  • 财政年份:
    2022
  • 负责人:
    LaPointe, Gisèle
  • 依托单位:
Polysaccharide production and degradation by bacteria in food and gastrointestinal systems
  • 批准号:
    RGPIN-2020-04484
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.91万
  • 财政年份:
    2021
  • 负责人:
    LaPointe, Gisèle
  • 依托单位:
Dairy Alliance
  • 批准号:
    566176-2021
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $25.75万
  • 财政年份:
    2021
  • 负责人:
    LaPointe, Gisèle
  • 依托单位:
Impact of exopolysaccharide production by microbial inoculants on the quality and digestibility of silage
  • 批准号:
    529498-2018
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $4.64万
  • 财政年份:
    2020
  • 负责人:
    LaPointe, Gisèle
  • 依托单位:
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