Author, as appears in the article.: Kartakoullis, Andreas; Comaposada, Josep; Cruz-Carrion, Alvaro; Serra, Xavier; Gou, Pere;

Department: Enginyeria Informàtica i Matemàtiques

URV's Author/s: Cruz Carrión, Álvaro Javier

Keywords: Temperature Technology Smartphone-based spectrometer Regression Random forest regression Principal component Prediction Pls-models Nir Nacl Moisture Models Meat composition A(w)

Abstract: This research work evaluates the feasibility of a smartphone-based spectrometer (740-1070 nm) for salted minced meat composition diagnostics at industrial scale. A commercially available smartphone-based spectrometer and a benchtop NIR spectrometer (940-1700 nm) were used for acquiring 1312 spectra from meat samples stored at four different temperatures ranging from -14 degrees C to 25 degrees C. Thereafter, for each spectrometer, PLS and Random Forest regression models specific for each temperature and global models were created to predict the fat, moisture and protein contents. Fat and moisture can be estimated with the global model in a wide range of temperatures by using the smartphone-based spectrometer, which has an acceptable accuracy for quality control purposes (RPD > 7) and comparable to the accuracy of a benchtop spectrometer.

Thematic Areas: Zootecnia / recursos pesqueiros Saúde coletiva Química Odontología Nutrition & dietetics Nutrição Medicine (miscellaneous) Medicina veterinaria Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Interdisciplinar Geociências Food science & technology Food science Farmacia Ensino Engenharias iv Engenharias iii Engenharias ii Engenharias i Enfermagem Educação física Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Chemistry, applied Biotecnología Biodiversidade Astronomia / física Analytical chemistry Administração pública e de empresas, ciências contábeis e turismo

licence for use: https://creativecommons.org/licenses/by/3.0/es/

Author's mail: alvarojavier.cruz@estudiants.urv.cat

Author identifier: 0000-0002-4460-2340

Record's date: 2021-10-10

Papper version: info:eu-repo/semantics/acceptedVersion

Link to the original source: https://www.sciencedirect.com/science/article/abs/pii/S0308814618319952?via%3Dihub

Papper original source: Food Chemistry. 278314-321

APA: Kartakoullis, Andreas; Comaposada, Josep; Cruz-Carrion, Alvaro; Serra, Xavier; Gou, Pere; (2019). Feasibility study of smartphone-based Near Infrared Spectroscopy (NIRS) for salted minced meat composition diagnostics at different temperatures. Food Chemistry, 278(), 314-321. DOI: 10.1016/j.foodchem.2018.11.054

Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/

Article's DOI: 10.1016/j.foodchem.2018.11.054

Entity: Universitat Rovira i Virgili

Journal publication year: 2019

Publication Type: Journal Publications