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

Giuseppe Bonifazi; Riccardo Gasbarrone; Giuseppe Capobianco; Silvia Serranti

doi:10.1016/j.dib.2021.106989

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

Data Brief. 2021 Mar 23:36:106989. doi: 10.1016/j.dib.2021.106989. eCollection 2021 Jun.

Authors

Giuseppe Bonifazi^{1

2}, Riccardo Gasbarrone¹, Giuseppe Capobianco¹, Silvia Serranti^{1

2}

Affiliations

¹ Department of Chemical Engineering, Materials & Environment, Sapienza University of Rome, Via Eudossiana, 18, 00184 Rome, Italy.
² Research Center for Biophotonics, Sapienza University of Rome, Polo Pontino, Corso della Repubblica 79, 04100 Latina, Italy.

Abstract

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.

Keywords: Cold chain maintenance evaluation; Near infrared spectroscopy; Pasta products; Reflectance spectroscopy dataset.