Your browser doesn't support javascript.
loading
High-throughput quantitation of bovine milk proteins and discrimination of commercial milk types by external cavity-quantum cascade laser spectroscopy and chemometrics.
Montemurro, Milagros; Schwaighofer, Andreas; Schmidt, Anatol; Culzoni, María J; Mayer, Helmut K; Lendl, Bernhard.
Afiliación
  • Montemurro M; Institute of Chemical Technologies and Analytics, Vienna University of Technology, Getreidemarkt 9/164-UPA, 1060 Vienna, Austria. bernhard.lendl@tuwien.ac.at.
Analyst ; 144(18): 5571-5579, 2019 Sep 09.
Article en En | MEDLINE | ID: mdl-31417992
Analysis of bovine milk proteins is crucial in many food and non-food industrial applications, nevertheless labour-intensive wet-chemical, low-throughput methods are still routinely used. In this work, external cavity-quantum cascade laser (EC-QCL) mid-infrared spectroscopy is employed as a rapid method for protein analysis of commercial bovine milk. Combined analysis of the amide I and II bands enabled quantitation of individual proteins (casein, ß-lactoglobulin, α-lactalbumin) and total protein content. IR spectra of spiked and diluted milk samples were employed for calibration of the target analytes in the presence of a complex matrix by partial least squares (PLS) regression modelling. A sample set of different milk types (pasteurized; differently processed extended shelf life, ESL; ultra-high temperature, UHT) was analysed, and results agreed well with reference methods. Quantitation of temperature sensitive proteins enables detailed distinction between milk types experiencing different heat loads during processing, and discrimination between diverse bovine milk types is successfully demonstrated.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Análisis Espectral / Láseres de Semiconductores / Quimioinformática / Proteínas de la Leche Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Analyst Año: 2019 Tipo del documento: Article País de afiliación: Austria

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Análisis Espectral / Láseres de Semiconductores / Quimioinformática / Proteínas de la Leche Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Analyst Año: 2019 Tipo del documento: Article País de afiliación: Austria
...