Rapid prediction of moisture content of quinoa (Chenopodium quinoa Willd.) flour by Fourier transform infrared (FTIR) spectroscopy

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dc.coverageDOI: 10.1016/j.jcs.2016.09.006
dc.creatorGonzález-Muñoz, Adrián
dc.creatorMontero, Bernabé
dc.creatorEnrione, Javier
dc.creatorMatiacevich, Silvia
dc.date2016
dc.date.accessioned2025-11-18T19:40:35Z
dc.date.available2025-11-18T19:40:35Z
dc.description<p>Moisture content determination on quinoa flour is actually performed by gravimetric analysis, which is time, energy consuming and sample destructive. An emerging technique to measure moisture in an innovative way avoiding those problems is the Fourier transform infrared (FTIR) spectroscopy. The aim of this study is to obtain a trustable and validated model to predict moisture content of quinoa flour using FTIR. To perform the moisture measurements in five quinoa ecotypes, a gravimetric data and area under the curve obtained by FTIR, considering the [sbnd]OH peak associated to water (3200 cm<sup>−1</sup>), were compared at five different relative humidities (0, 33, 58, 75 and 100%). A good correlation between gravimetric measurements and FTIR area were observed (R<sup>2</sup> = 0.8729) and no differences were observed between quinoa ecotypes. A cross validation technique to predict moisture considering experimental and predicted data by area under de curve by FTIR was performed obtaining a general equation (y = 35.73x + 46.04) with a high repetitively and good prediction (100%) of the tested models.</p>eng
dc.descriptionMoisture content determination on quinoa flour is actually performed by gravimetric analysis, which is time, energy consuming and sample destructive. An emerging technique to measure moisture in an innovative way avoiding those problems is the Fourier transform infrared (FTIR) spectroscopy. The aim of this study is to obtain a trustable and validated model to predict moisture content of quinoa flour using FTIR. To perform the moisture measurements in five quinoa ecotypes, a gravimetric data and area under the curve obtained by FTIR, considering the [sbnd]OH peak associated to water (3200 cm−1), were compared at five different relative humidities (0, 33, 58, 75 and 100%). A good correlation between gravimetric measurements and FTIR area were observed (R2 = 0.8729) and no differences were observed between quinoa ecotypes. A cross validation technique to predict moisture considering experimental and predicted data by area under de curve by FTIR was performed obtaining a general equation (y = 35.73x + 46.04) with a high repetitively and good prediction (100%) of the tested models.spa
dc.identifierhttps://investigadores.uandes.cl/en/publications/5f8399cb-6606-4907-a7bd-dd8c4dac63ba
dc.identifier.urihttps://repositorio.uandes.cl/handle/uandes/51364
dc.languageeng
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.sourcevol.71 (2016) date: 2016-09-01 p.246-249
dc.subjectFTIR
dc.subjectMoisture measurement
dc.subjectPrediction
dc.subjectQuinoa ecotypes
dc.subjectFTIR
dc.subjectMoisture measurement
dc.subjectPrediction
dc.subjectQuinoa ecotypes
dc.titleRapid prediction of moisture content of quinoa (Chenopodium quinoa Willd.) flour by Fourier transform infrared (FTIR) spectroscopyeng
dc.typeArticleeng
dc.typeArtículospa
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