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

  • Identification data

    Identifier: imarina:7709513
    Authors:
    Riu J, Gorla G, Chakif D, Boqué R, Giussani B
    Abstract:
    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.
  • Others:

    Author, as appears in the article.: Riu J, Gorla G, Chakif D, Boqué R, Giussani B
    Department: Química Analítica i Química Orgànica
    URV's Author/s: Boqué Martí, Ricard / Giussani, Barbara / Riu Rusell, Jordi
    Keywords: 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
    Abstract: 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.
    Thematic Areas: Plant science Microbiology Health professions (miscellaneous) Health (social science) Food science & technology Food science
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 23048158
    Author's mail: barbara.giussani@urv.cat ricard.boque@urv.cat jordi.riu@urv.cat
    Author identifier: 0000-0001-7311-4824 0000-0001-5823-9223
    Record's date: 2023-12-16
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.mdpi.com/2304-8158/9/8/1090
    Papper original source: Foods. 9 (8):
    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
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Article's DOI: 10.3390/foods9081090
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2020
    Publication Type: Journal Publications
  • Keywords:

    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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