Spectroscopic analysis of chia seeds

Abstract Chia seeds are becoming more and more popular in modern diets. In this contribution NIR and 2D-fluorescence spectroscopy were used to determine their nutritional values, mainly fat and protein content. 25 samples of chia seeds were analysed, whereof 9 samples were obtained from different re...

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Autores principales:	Monica Mburu, Olivier Paquet-Durand, Bernd Hitzmann, Viktoria Zettel
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/690ad8f39e114282bd91b06a1b2fc719
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spelling	oai:doaj.org-article:690ad8f39e114282bd91b06a1b2fc7192021-12-02T17:39:31ZSpectroscopic analysis of chia seeds10.1038/s41598-021-88545-52045-2322https://doaj.org/article/690ad8f39e114282bd91b06a1b2fc7192021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-88545-5https://doaj.org/toc/2045-2322Abstract Chia seeds are becoming more and more popular in modern diets. In this contribution NIR and 2D-fluorescence spectroscopy were used to determine their nutritional values, mainly fat and protein content. 25 samples of chia seeds were analysed, whereof 9 samples were obtained from different regions in Kenya, 16 samples were purchased in stores in Germany and originated mostly from South America. For the purchased samples the nutritional information of the package was taken in addition to the values obtained for fat and protein, which were determined at the Hohenheim Core Facility. For the first time the NIR and fluorescence spectroscopy were used for the analysis of chia. For the spectral evaluation two different pre-processing methods were tested. Baseline correction with subsequent mean-centring lead to the best results for NIR spectra whereas SNV (standard normal variate transformation) was sufficient for the evaluation of fluorescence spectra. When combining NIR and fluorescence spectra, the fluorescence spectra were also multiplied with a factor to adjust the intensity levels. The best prediction results for the evaluation of the combined spectra were obtained for Kenyan samples with prediction errors below 0.2 g/100 g. For all other samples the absolute prediction error was 0.51 g/100 g for fat and 0.62 g/100 g for protein. It is possible to determine the amount of protein and fat of chia seeds by fluorescence and NIR spectroscopy. The combination of both methods is beneficial for the predictions. Chia seeds from Kenya had similar protein and lipid contents as South American seeds.Monica MburuOlivier Paquet-DurandBernd HitzmannViktoria ZettelNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Monica Mburu Olivier Paquet-Durand Bernd Hitzmann Viktoria Zettel Spectroscopic analysis of chia seeds
description	Abstract Chia seeds are becoming more and more popular in modern diets. In this contribution NIR and 2D-fluorescence spectroscopy were used to determine their nutritional values, mainly fat and protein content. 25 samples of chia seeds were analysed, whereof 9 samples were obtained from different regions in Kenya, 16 samples were purchased in stores in Germany and originated mostly from South America. For the purchased samples the nutritional information of the package was taken in addition to the values obtained for fat and protein, which were determined at the Hohenheim Core Facility. For the first time the NIR and fluorescence spectroscopy were used for the analysis of chia. For the spectral evaluation two different pre-processing methods were tested. Baseline correction with subsequent mean-centring lead to the best results for NIR spectra whereas SNV (standard normal variate transformation) was sufficient for the evaluation of fluorescence spectra. When combining NIR and fluorescence spectra, the fluorescence spectra were also multiplied with a factor to adjust the intensity levels. The best prediction results for the evaluation of the combined spectra were obtained for Kenyan samples with prediction errors below 0.2 g/100 g. For all other samples the absolute prediction error was 0.51 g/100 g for fat and 0.62 g/100 g for protein. It is possible to determine the amount of protein and fat of chia seeds by fluorescence and NIR spectroscopy. The combination of both methods is beneficial for the predictions. Chia seeds from Kenya had similar protein and lipid contents as South American seeds.
format	article
author	Monica Mburu Olivier Paquet-Durand Bernd Hitzmann Viktoria Zettel
author_facet	Monica Mburu Olivier Paquet-Durand Bernd Hitzmann Viktoria Zettel
author_sort	Monica Mburu
title	Spectroscopic analysis of chia seeds
title_short	Spectroscopic analysis of chia seeds
title_full	Spectroscopic analysis of chia seeds
title_fullStr	Spectroscopic analysis of chia seeds
title_full_unstemmed	Spectroscopic analysis of chia seeds
title_sort	spectroscopic analysis of chia seeds
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/690ad8f39e114282bd91b06a1b2fc719
work_keys_str_mv	AT monicamburu spectroscopicanalysisofchiaseeds AT olivierpaquetdurand spectroscopicanalysisofchiaseeds AT berndhitzmann spectroscopicanalysisofchiaseeds AT viktoriazettel spectroscopicanalysisofchiaseeds
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Spectroscopic analysis of chia seeds

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