Performance characterization of miniaturized near-infrared (nir) spectrometers for the classification of sweet and bitter almonds

Entity: Universitat Rovira i Virgili (URV)

Confidenciality: No

Education area(s): Nanociència, Materials i Processos - Tecnologia Química de Frontera 

APS: NO

Title in different languages: Performance characterization of miniaturized near-infrared (nir) spectrometers for the classification of sweet and bitter almonds

Abstract: The miniaturized NIR instruments have gained more interest in recent years because of the fast and robust measurements they provide with almost no sample pretreatments. In this work, different sources of variability have been studied that may affect the performance of two portable low-cost NIR devices (SCiO and NeoSpectra). Measurement error covariance and correlation matrices were calculated and then visually inspected to evaluate the sources and structures of the errors associated with both devices and to find the optimal preprocessing technique that may result in the improvement of the models built with both devices.

Subject: Ametlles

Academic year: 2021-2022

Language: en

Work's public defense date: 2022-09-09

Subject areas: Chemistry

Student: Ahmed, Hawbeer Jamal

Department: Enginyeria Química

Creation date in repository: 2022-11-24

Keywords: miniaturized NIR, Almonds, Multivariate measurement error

Title in original language: Performance characterization of miniaturized near-infrared (nir) spectrometers for the classification of sweet and bitter almonds

Access Rights: info:eu-repo/semantics/openAccess

Project director: Riu Rusell, Jordi; Boqué Martí, Ricard; Giussani, Barbara