A dataset of visible – Short wave InfraRed reflectance spectra collected on pre-cooked pasta products
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...
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Elsevier
2021-06-01
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Series: | Data in Brief |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340921002730 |
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author | Giuseppe Bonifazi Riccardo Gasbarrone Giuseppe Capobianco Silvia Serranti |
author_facet | Giuseppe Bonifazi Riccardo Gasbarrone Giuseppe Capobianco Silvia Serranti |
author_sort | Giuseppe Bonifazi |
collection | DOAJ |
description | 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. |
first_indexed | 2024-12-19T00:09:12Z |
format | Article |
id | doaj.art-811f44465f694c90bd54942960544b10 |
institution | Directory Open Access Journal |
issn | 2352-3409 |
language | English |
last_indexed | 2024-12-19T00:09:12Z |
publishDate | 2021-06-01 |
publisher | Elsevier |
record_format | Article |
series | Data in Brief |
spelling | doaj.art-811f44465f694c90bd54942960544b102022-12-21T20:46:04ZengElsevierData in Brief2352-34092021-06-0136106989A dataset of visible – Short wave InfraRed reflectance spectra collected on pre-cooked pasta productsGiuseppe Bonifazi0Riccardo Gasbarrone1Giuseppe Capobianco2Silvia Serranti3Department 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.Department of Chemical Engineering, Materials & Environment, Sapienza University of Rome, Via Eudossiana, 18, 00184 Rome, ItalyDepartment of Chemical Engineering, Materials & Environment, Sapienza University of Rome, Via Eudossiana, 18, 00184 Rome, ItalyDepartment 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, ItalyReflectance 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.http://www.sciencedirect.com/science/article/pii/S2352340921002730Reflectance spectroscopy datasetNear infrared spectroscopyPasta productsCold chain maintenance evaluation |
spellingShingle | Giuseppe Bonifazi Riccardo Gasbarrone Giuseppe Capobianco Silvia Serranti A dataset of visible – Short wave InfraRed reflectance spectra collected on pre-cooked pasta products Data in Brief Reflectance spectroscopy dataset Near infrared spectroscopy Pasta products Cold chain maintenance evaluation |
title | A dataset of visible – Short wave InfraRed reflectance spectra collected on pre-cooked pasta products |
title_full | A dataset of visible – Short wave InfraRed reflectance spectra collected on pre-cooked pasta products |
title_fullStr | A dataset of visible – Short wave InfraRed reflectance spectra collected on pre-cooked pasta products |
title_full_unstemmed | A dataset of visible – Short wave InfraRed reflectance spectra collected on pre-cooked pasta products |
title_short | A dataset of visible – Short wave InfraRed reflectance spectra collected on pre-cooked pasta products |
title_sort | dataset of visible short wave infrared reflectance spectra collected on pre cooked pasta products |
topic | Reflectance spectroscopy dataset Near infrared spectroscopy Pasta products Cold chain maintenance evaluation |
url | http://www.sciencedirect.com/science/article/pii/S2352340921002730 |
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