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Detection of Additives and Chemical Contaminants in Turmeric Powder Using FT-IR Spectroscopy

Yellow turmeric (Curcuma longa) is widely used for culinary and medicinal purposes, and as a dietary supplement. Due to the commercial popularity of C. longa, economic adulteration and contamination with botanical additives and chemical substances has increased. This study used FT-IR spectroscopy fo...

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Autores principales: Dhakal, Sagar, Schmidt, Walter F., Kim, Moon, Tang, Xiuying, Peng, Yankun, Chao, Kuanglin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6560428/
https://www.ncbi.nlm.nih.gov/pubmed/31027345
http://dx.doi.org/10.3390/foods8050143
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author Dhakal, Sagar
Schmidt, Walter F.
Kim, Moon
Tang, Xiuying
Peng, Yankun
Chao, Kuanglin
author_facet Dhakal, Sagar
Schmidt, Walter F.
Kim, Moon
Tang, Xiuying
Peng, Yankun
Chao, Kuanglin
author_sort Dhakal, Sagar
collection PubMed
description Yellow turmeric (Curcuma longa) is widely used for culinary and medicinal purposes, and as a dietary supplement. Due to the commercial popularity of C. longa, economic adulteration and contamination with botanical additives and chemical substances has increased. This study used FT-IR spectroscopy for identifying and estimating white turmeric (Curcuma zedoaria), and Sudan Red G dye mixed with yellow turmeric powder. Fifty replicates of yellow turmeric—Sudan Red mixed samples (1%, 5%, 10%, 15%, 20%, 25% Sudan Red, w/w) and fifty replicates of yellow turmeric—white turmeric mixed samples (10%, 20%, 30%, 40%, 50% white turmeric, w/w) were prepared. The IR spectra of the pure compounds and mixtures were analyzed. The 748 cm(−1) Sudan Red peak and the 1078 cm(−1) white turmeric peak were used as spectral fingerprints. A partial least square regression (PLSR) model was developed for each mixture type to estimate adulteration concentrations. The coefficient of determination (R(2)(v)) for the Sudan Red mixture model was 0.97 with a root mean square error of prediction (RMSEP) equal to 1.3%. R(2)(v) and RMSEP for the white turmeric model were 0.95 and 3.0%, respectively. Our results indicate that the method developed in this study can be used to identify and quantify yellow turmeric powder adulteration.
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spelling pubmed-65604282019-06-17 Detection of Additives and Chemical Contaminants in Turmeric Powder Using FT-IR Spectroscopy Dhakal, Sagar Schmidt, Walter F. Kim, Moon Tang, Xiuying Peng, Yankun Chao, Kuanglin Foods Article Yellow turmeric (Curcuma longa) is widely used for culinary and medicinal purposes, and as a dietary supplement. Due to the commercial popularity of C. longa, economic adulteration and contamination with botanical additives and chemical substances has increased. This study used FT-IR spectroscopy for identifying and estimating white turmeric (Curcuma zedoaria), and Sudan Red G dye mixed with yellow turmeric powder. Fifty replicates of yellow turmeric—Sudan Red mixed samples (1%, 5%, 10%, 15%, 20%, 25% Sudan Red, w/w) and fifty replicates of yellow turmeric—white turmeric mixed samples (10%, 20%, 30%, 40%, 50% white turmeric, w/w) were prepared. The IR spectra of the pure compounds and mixtures were analyzed. The 748 cm(−1) Sudan Red peak and the 1078 cm(−1) white turmeric peak were used as spectral fingerprints. A partial least square regression (PLSR) model was developed for each mixture type to estimate adulteration concentrations. The coefficient of determination (R(2)(v)) for the Sudan Red mixture model was 0.97 with a root mean square error of prediction (RMSEP) equal to 1.3%. R(2)(v) and RMSEP for the white turmeric model were 0.95 and 3.0%, respectively. Our results indicate that the method developed in this study can be used to identify and quantify yellow turmeric powder adulteration. MDPI 2019-04-26 /pmc/articles/PMC6560428/ /pubmed/31027345 http://dx.doi.org/10.3390/foods8050143 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dhakal, Sagar
Schmidt, Walter F.
Kim, Moon
Tang, Xiuying
Peng, Yankun
Chao, Kuanglin
Detection of Additives and Chemical Contaminants in Turmeric Powder Using FT-IR Spectroscopy
title Detection of Additives and Chemical Contaminants in Turmeric Powder Using FT-IR Spectroscopy
title_full Detection of Additives and Chemical Contaminants in Turmeric Powder Using FT-IR Spectroscopy
title_fullStr Detection of Additives and Chemical Contaminants in Turmeric Powder Using FT-IR Spectroscopy
title_full_unstemmed Detection of Additives and Chemical Contaminants in Turmeric Powder Using FT-IR Spectroscopy
title_short Detection of Additives and Chemical Contaminants in Turmeric Powder Using FT-IR Spectroscopy
title_sort detection of additives and chemical contaminants in turmeric powder using ft-ir spectroscopy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6560428/
https://www.ncbi.nlm.nih.gov/pubmed/31027345
http://dx.doi.org/10.3390/foods8050143
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