Articles producció científica> Química Analítica i Química Orgànica

Rapid Analysis of Milk Using Low-Cost Pocket-Size NIR Spectrometers and Multivariate Analysis

  • Datos identificativos

    Identificador: imarina:7709513
    Handle: http://hdl.handle.net/20.500.11797/imarina7709513
  • Autores:

    Riu J, Gorla G, Chakif D, Boqué R, Giussani B
  • Otros:

    Autor según el artículo: Riu J, Gorla G, Chakif D, Boqué R, Giussani B
    Departamento: Química Analítica i Química Orgànica
    Autor/es de la URV: Boqué Martí, Ricard / Riu Rusell, Jordi
    Palabras clave: Spectroscopy Reflectance Raw-milk Portable instrumentation Nir Near-infrared spectroscopy Multivariate analysis Milk Light-scattering Hand-held Green analytical chemistry Fatty-acids Classification Chromatography Adulteration Accuracy
    Resumen: The miniaturisation of analytical devices, reduction of analytical data acquisition time, or the reduction of waste generation throughout the analytical process are important requirements of modern analytical chemistry, and in particular of green analytical chemistry. Green analytical chemistry has fostered the development of a new generation of miniaturized near-infrared spectroscopy (NIR) spectrometric systems. However, one of the drawbacks of these systems is the need for a compromise between the performance parameters (accuracy and sensitivity) and the aforementioned requirements of green analytical chemistry. In this paper, we evaluated the capabilities of two recently developed portable NIR instruments (SCiO and NeoSpectra) to achieve a rapid, simple and low-cost quantitative determination of commercial milk macronutrients. Commercial milk samples from Italy, Switzerland and Spain were chosen, covering the maximum range of variability in protein, carbohydrate and fat content, and multivariate calibration was used to correlate the recorded spectra with the macronutrient content of milk. Both SCiO and NeoSpectra can provide a fast and reliable analysis of fats in commercial milk, and they are able to correctly classify milk according to fat level. SCiO can also provide predictions of protein content and classification according to presence or absence of lactose.
    Áreas temáticas: Plant science Microbiology Health professions (miscellaneous) Health (social science) Food science & technology Food science
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 23048158
    Direcció de correo del autor: ricard.boque@urv.cat jordi.riu@urv.cat
    Identificador del autor: 0000-0001-7311-4824 0000-0001-5823-9223
    Fecha de alta del registro: 2023-03-06
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://www.mdpi.com/2304-8158/9/8/1090
    URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Foods. 9 (8):
    Referencia de l'ítem segons les normes APA: Riu J, Gorla G, Chakif D, Boqué R, Giussani B (2020). Rapid Analysis of Milk Using Low-Cost Pocket-Size NIR Spectrometers and Multivariate Analysis. Foods, 9(8), -. DOI: 10.3390/foods9081090
    DOI del artículo: 10.3390/foods9081090
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2020
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Food Science,Food Science & Technology,Health (Social Science),Health Professions (Miscellaneous),Microbiology,Plant Science
    Spectroscopy
    Reflectance
    Raw-milk
    Portable instrumentation
    Nir
    Near-infrared spectroscopy
    Multivariate analysis
    Milk
    Light-scattering
    Hand-held
    Green analytical chemistry
    Fatty-acids
    Classification
    Chromatography
    Adulteration
    Accuracy
    Plant science
    Microbiology
    Health professions (miscellaneous)
    Health (social science)
    Food science & technology
    Food science
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