NIRS Calibration Database on cooked mashed sweetpotato for Sensory Descriptors, Texture, DM, OCT & Water absorption at CIP Uganda

The spectra were collected from 3 cooked mashed roots.To scan cooked roots, 3 raw roots were cut cross-sectionally across the mid-section, and immediately cooked until ready. After cooking, each root was mashed on a plate, and the mashed potato was scanned in a cuvette, producing three spectra per genotype. Sensory data was collected by 12 trained panellists, who consumed small cubes of each cooked sweetpotato genotype and rated the overall liking of the samples on a 10-point hedonic scale ranging from 1 (dislike extremely) to 10 (like extremely), for each sensory trait per genotypes.

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Bibliographic Details
Main Authors: Ssali, Nantongo Judith, Serunkuma, Edwin, Nakitto, Mariam, Ssali, Reuben
Other Authors: Asiimwe, Amos
Format: Spectral Data biblioteca
Language:English
Published: CIRAD Dataverse
Subjects:Agricultural Sciences, sweetpotato, NIRS, infrared spectrophotometry, water absorption, moisture content, Sensorial profiles, chemicophysical properties, textural parameters, texture, dry matter, food analysis,
Online Access:https://doi.org/10.18167/DVN1/KNQFPF
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spelling dat-cirad-10.18167DVN1KNQFPF2023-07-20T00:00:04ZNIRS Calibration Database on cooked mashed sweetpotato for Sensory Descriptors, Texture, DM, OCT & Water absorption at CIP Ugandahttps://doi.org/10.18167/DVN1/KNQFPFSsali, Nantongo JudithSerunkuma, EdwinNakitto, MariamSsali, ReubenCIRAD DataverseThe spectra were collected from 3 cooked mashed roots.To scan cooked roots, 3 raw roots were cut cross-sectionally across the mid-section, and immediately cooked until ready. After cooking, each root was mashed on a plate, and the mashed potato was scanned in a cuvette, producing three spectra per genotype. Sensory data was collected by 12 trained panellists, who consumed small cubes of each cooked sweetpotato genotype and rated the overall liking of the samples on a 10-point hedonic scale ranging from 1 (dislike extremely) to 10 (like extremely), for each sensory trait per genotypes.Agricultural SciencessweetpotatoNIRSinfrared spectrophotometrywater absorptionmoisture contentSensorial profileschemicophysical propertiestextural parameterstexturedry matterfood analysisEnglishAsiimwe, AmosDavrieux, Fabrice (CIRAD, Qualisud, France)Spectral Data
institution CIRAD FR
collection Dataverse
country Francia
countrycode FR
component Datos de investigación
access En linea
En linea
databasecode dat-cirad
tag biblioteca
region Europa del Oeste
libraryname Centre de coopération internationale en recherche agronomique pour le développement
language English
topic Agricultural Sciences
sweetpotato
NIRS
infrared spectrophotometry
water absorption
moisture content
Sensorial profiles
chemicophysical properties
textural parameters
texture
dry matter
food analysis
Agricultural Sciences
sweetpotato
NIRS
infrared spectrophotometry
water absorption
moisture content
Sensorial profiles
chemicophysical properties
textural parameters
texture
dry matter
food analysis
spellingShingle Agricultural Sciences
sweetpotato
NIRS
infrared spectrophotometry
water absorption
moisture content
Sensorial profiles
chemicophysical properties
textural parameters
texture
dry matter
food analysis
Agricultural Sciences
sweetpotato
NIRS
infrared spectrophotometry
water absorption
moisture content
Sensorial profiles
chemicophysical properties
textural parameters
texture
dry matter
food analysis
Ssali, Nantongo Judith
Serunkuma, Edwin
Nakitto, Mariam
Ssali, Reuben
NIRS Calibration Database on cooked mashed sweetpotato for Sensory Descriptors, Texture, DM, OCT & Water absorption at CIP Uganda
description The spectra were collected from 3 cooked mashed roots.To scan cooked roots, 3 raw roots were cut cross-sectionally across the mid-section, and immediately cooked until ready. After cooking, each root was mashed on a plate, and the mashed potato was scanned in a cuvette, producing three spectra per genotype. Sensory data was collected by 12 trained panellists, who consumed small cubes of each cooked sweetpotato genotype and rated the overall liking of the samples on a 10-point hedonic scale ranging from 1 (dislike extremely) to 10 (like extremely), for each sensory trait per genotypes.
author2 Asiimwe, Amos
author_facet Asiimwe, Amos
Ssali, Nantongo Judith
Serunkuma, Edwin
Nakitto, Mariam
Ssali, Reuben
format Spectral Data
topic_facet Agricultural Sciences
sweetpotato
NIRS
infrared spectrophotometry
water absorption
moisture content
Sensorial profiles
chemicophysical properties
textural parameters
texture
dry matter
food analysis
author Ssali, Nantongo Judith
Serunkuma, Edwin
Nakitto, Mariam
Ssali, Reuben
author_sort Ssali, Nantongo Judith
title NIRS Calibration Database on cooked mashed sweetpotato for Sensory Descriptors, Texture, DM, OCT & Water absorption at CIP Uganda
title_short NIRS Calibration Database on cooked mashed sweetpotato for Sensory Descriptors, Texture, DM, OCT & Water absorption at CIP Uganda
title_full NIRS Calibration Database on cooked mashed sweetpotato for Sensory Descriptors, Texture, DM, OCT & Water absorption at CIP Uganda
title_fullStr NIRS Calibration Database on cooked mashed sweetpotato for Sensory Descriptors, Texture, DM, OCT & Water absorption at CIP Uganda
title_full_unstemmed NIRS Calibration Database on cooked mashed sweetpotato for Sensory Descriptors, Texture, DM, OCT & Water absorption at CIP Uganda
title_sort nirs calibration database on cooked mashed sweetpotato for sensory descriptors, texture, dm, oct & water absorption at cip uganda
publisher CIRAD Dataverse
url https://doi.org/10.18167/DVN1/KNQFPF
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