Commercial table grapes analyzed by hyperspectral imaging, total phenolic content and total anthocyanins content and Total Soluble Solids

DOI

Table grape quality is of importance for consumers and thus for producers. This database proposes quality parameters of 7 commercial table grapes as sugar (Total Soluble Solids), total flavonoid (TF), and total anthocyanin (TA) contents. Moreover, the table contains the hyperspectral imaging spectra for all berries analysed.

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  • Grapes : Three white table grapes (Sugarone Superior Seedless, Thompson Seedless, and Victoria) and four red/black table grapes (Sable Seedless, Alphonse Lavallée, Lival, and Black Magic) bought un a local supermarket.

  • Hyperspectral imaging analyses: The system is composed of the following components : a hyperspectral imaging camera (Pika L, Resonon, Bozeman, MT, USA) coupled with an objective lenses (Xenoplan 1.4/23, Schneider-Kreuznach, Bad Kreuznach, Germany), an illumination unit, which consists of four 35 W quartz tungsten halogen (QTH) MR16 35 W lamps adjusted at angle of 45◦ to illuminate the camera’s field of view, a mounting tower and a transport stage (PS-12-20-1.0, Servo Systems Co., Rockaway, NJ, USA), with motor (DMX-J-SA-17, Arcus Technology Inc., Livermore, CA, USA). The sensor has 900 spatial channels each with 281 spectral channels covering the range from 387 to 1026 nm. The maximum spectral resolution is 2.1 nm. The camera was set up at 450 mm from the target. The spectral images were collected in a dark room where only the halogen light source was used. The HIS was controlled by a PC with the software SpectrononPRO (Resonon, Bozeman, MT, USA) for image acquisition. The hyperspectral images were recorded by the SpectrononPRO software (Resonon, Bozeman, MT, USA) using an exposure time of 12 ms and a stage speed of 11 mm s−1 with a gain of 10. The spectral data in the wavelength range of 411–1000 nm was used in the data analysis for removing noise and reducing data redundancy out of this range. For each sample (50 berries), three reflectance spectra were collected corresponding to berry rotations, and averaged over the spatial dimension.

  • Chemical analyses: Each berry was weighed, manually peeled, and the juice was collected separately. Total Soluble Solids were measured by a portable refractometer (Mettler Toledo Refracto 30PX). The skins were separately weighed and extracted four times with 7.5 mL of hydrochloride ethanol solution (ethanol/water/hydrochloric acid 70/30/1 v/v/v). The quantification of TA and TF was carried out spectrophotometrically by recording the UV–visible spectra in the range of 220–700 nm using a Safas UV mc2 spectrophotometer (Safas, Monaco City, Monaco) and measuring the absorption values at 280 and 520 nm, as previously reported (Fracassetti, and al. S. Afr. J. Enol. Vitic. 2017, 38, 72–81). The results were expressed as mg (+)-catechin equivalents/kg fresh grape and mg malvidin-3-O-glucoside equivalents/kg fresh grape for the flavonoids and anthocyanins, respectively.

  • Flow of analyses: 50 berries of each variety were analyzed in triplicate by hyperspectral imaging, then they were chemically analyzed, leading to 350 mean spectra, 350 TF, 350 TSS and 200 TA.

Identifier
DOI https://doi.org/10.15454/BHH6L2
Related Identifier https://doi.org/10.3390/chemosensors9040071
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.15454/BHH6L2
Provenance
Creator Maury, Chantal (ORCID: 0000-0003-3733-594X); Gabrielli, Mario ORCID logo; Lançon-Verdier, Vanessa ORCID logo; Picouet, Pierre (ORCID: 0000-0003-2754-174X)
Publisher Recherche Data Gouv
Contributor Maury, Chantal; Lançon-Verdier, Vanessa; Picouet, Pierre; Gabrielli, Mario; Ecole Supérieure des Agricultures
Publication Year 2023
Funding Reference French Region Pays de la Loire ; European Regional Development Fund
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Maury, Chantal (Laboratoire Grappe ESA-INRAE)
Representation
Resource Type Dataset
Format text/tab-separated-values; text/comma-separated-values
Size 1642699; 1558
Version 1.0
Discipline Agriculture, Forestry, Horticulture; Chemistry; Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Natural Sciences
Spatial Coverage Maine et Loire (France)