Author, as appears in the article.: Gorla, Giulia; Mestres, Montserrat; Boque, Ricard; Riu, Jordi; Spanu, Davide; Giussani, Barbara;
Department: Química Analítica i Química Orgànica
URV's Author/s: Boqué Martí, Ricard / Giussani, Barbara / Mestres Solé, Maria Montserrat / RIU RUSELL, MARC
Project code: CTQ2016-77128-R
Keywords: Proteins determination in milk Milk major constituents Milk Fatty acids determination in milk Carbohydrates determination in milk Atr-mir
Abstract: There is a growing need of measurement technologies that can be used close to the sample source and optical spectroscopy is an excellent example of this genre of technology: from the lab to the field. This study investigates the possibility to quantify the major components and to detect the presence or absence of lactose in commercial milks with ATR-MIR spectroscopy. We explored the possibility to use a portable and economical ATR-MIR instrument, comparing the results with a benchtop system. Commercial milk samples from Italy, Switzerland and Spain were chosen covering the maximum range of variation for protein, carbohydrate and fat content. The analytical protocol was optimized to make it as fast and useable as possible for both instruments, from the sample pretreatment to the instrumental parameters. Multivariate calibration was used to correlate the recorded spectra to the content of the major milk components, while a classification was done in order to classify samples with or without lactose. A comparison was performed between the predictive capabilities of the models built with different data pretreatments, different variable selection methods and different validation systems to obtain the best results and to assure robust models.
Thematic Areas: Statistics & probability Spectroscopy Software Robotics & automatic control Química Process chemistry and technology Mathematics, interdisciplinary applications Matemática / probabilidade e estatística Interdisciplinar Instruments & instrumentation Farmacia Engenharias iv Engenharias iii Engenharias ii Computer science, artificial intelligence Computer science applications Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Chemistry, analytical Biotecnología Automation & control systems Analytical chemistry
licence for use: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 01697439
Author's mail: barbara.giussani@urv.cat ricard.boque@urv.cat montserrat.mestres@urv.cat
Author identifier: 0000-0001-7311-4824 0000-0001-9805-3482
Record's date: 2023-12-16
Papper version: info:eu-repo/semantics/acceptedVersion
Link to the original source: https://www.sciencedirect.com/science/article/abs/pii/S0169743919307117
Funding program: Programa Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad (Agencia Estatal de Investigación - Ministerio de Economía, Industria y Competitividad)
Papper original source: Chemometrics And Intelligent Laboratory Systems. 200 (103995):
APA: Gorla, Giulia; Mestres, Montserrat; Boque, Ricard; Riu, Jordi; Spanu, Davide; Giussani, Barbara; (2020). ATR-MIR spectroscopy to predict commercial milk major components: A comparison between a handheld and a benchtop instrument. Chemometrics And Intelligent Laboratory Systems, 200(103995), -. DOI: 10.1016/j.chemolab.2020.103995
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Acronym: HOMESENS
Article's DOI: 10.1016/j.chemolab.2020.103995
Entity: Universitat Rovira i Virgili
Journal publication year: 2020
Funding program action: Proyecto de I+D
Publication Type: Journal Publications
Repositori URV