A dataset of visible – Short wave InfraRed reflectance spectra collected on pre-cooked pasta products

Giuseppe Bonifazi; Riccardo Gasbarrone; Giuseppe Capobianco; Silvia Serranti

Data in Brief (Jun 2021)

A dataset of visible – Short wave InfraRed reflectance spectra collected on pre-cooked pasta products

Giuseppe Bonifazi,
Riccardo Gasbarrone,
Giuseppe Capobianco,
Silvia Serranti

Affiliations

Giuseppe Bonifazi: Department of Chemical Engineering, Materials & Environment, Sapienza University of Rome, Via Eudossiana, 18, 00184 Rome, Italy; Research Center for Biophotonics, Sapienza University of Rome, Polo Pontino, Corso della Repubblica 79, 04100 Latina, Italy; Corresponding author at: Department of Chemical Engineering, Materials & Environment, Sapienza University of Rome, Via Eudossiana, 18, 00184 Rome, Italy.
Riccardo Gasbarrone: Department of Chemical Engineering, Materials & Environment, Sapienza University of Rome, Via Eudossiana, 18, 00184 Rome, Italy
Giuseppe Capobianco: Department of Chemical Engineering, Materials & Environment, Sapienza University of Rome, Via Eudossiana, 18, 00184 Rome, Italy
Silvia Serranti: Department of Chemical Engineering, Materials & Environment, Sapienza University of Rome, Via Eudossiana, 18, 00184 Rome, Italy; Research Center for Biophotonics, Sapienza University of Rome, Polo Pontino, Corso della Repubblica 79, 04100 Latina, Italy

Journal volume & issue: Vol. 36
p. 106989

Abstract

Read online

Reflectance Visible (Vis) and Short Wave Infrared (SWIR) spectra of pre-cooked pasta products were collected in a non-invasive way by using an ASD FieldSpec® 4 Standard–Res portable spectrophotoradiometer (350–2500 nm). Vis-SWIR data were collected on 6 samples of Pennette 72 and 6 samples of Mezze Penne with different salting levels with the aid of a contact probe in two different physical conditions: i) frozen and ii) thawed. Fifty Vis-SWIR spectra were collected per measurement time from each sample resulting in 1200 raw spectra.The dataset presented in this descriptor can be used to explore the possibilities to develop automated methods to perform pre-cooked pasta analysis. Vis-SWIR data have potential reuse for follow-up studies finalized to develop pre-cooked pasta quality control applications by using similar devices or to test the ability of different chemometric algorithms.

Published in Data in Brief

ISSN: 2352-3409 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Medicine: Medicine (General): Computer applications to medicine. Medical informatics; Science: Science (General)
Website: http://www.journals.elsevier.com/data-in-brief/

About the journal

Abstract

Keywords