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