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

Adrián González-Muñoz, Bernabé Montero, Javier Enrione, Silvia Matiacevich*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


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−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.

Original languageEnglish
Pages (from-to)246-249
Number of pages4
JournalJournal of Cereal Science
StatePublished - 1 Sep 2016

Bibliographical note

Funding Information:
This work was supported by Projects Innova-Corfo 213IDL2-23457 , Conicyt/Fondecyt Regular No 1160463 , Conicyt grant No 21130534 and DICYT-VRIDEI ( 081371MSSA_DAS ) from University of Santiago de Chile.

Publisher Copyright:
© 2016 Elsevier Ltd


  • FTIR
  • Moisture measurement
  • Prediction
  • Quinoa ecotypes


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