Fast spectroscopic and multisensor methods for analysis of glucosamine and hyaluronic acid in dietary supplements

  • There is a lack of fast and inexpensive analytical methods for quantification of key ingredients in dietary supplements. Here we explore the potential of near infrared (NIR) spectrometry, attenuated total reflection infrared (ATR-IR) spectrometry and potentiometric multisensor system (MSS) in quantitative determination of glucosamine and hyaluronic acid in commercial samples of dietary supplements. All three methods have demonstrated their applicability for this task when combined with chemometric data processing. Principal Component Analysis (PCA) revealed similarities across the three techniques, indicating the presence of distinct sample compositions. Partial least squares (PLS) models were constructed for glucosamine and hyaluronic acid quantification. The root mean square error of cross validation (RMSECV) for glucosamine quantification varied between 7.7 wt% and 8.9 wt%. NIR spectrometry has demonstrated the best accuracy for hyaluronic acid (RMSECV = 9.9 wt%), while ATR-IR and MSS yielded somewhat worse performance with RMSECV values of 12.1 and 11.3 wt%, respectively. The findings of this study indicated that NIR, ATR-IR and MSS exhibit reduced accuracy in comparison to complex and high-precision analytical techniques. However, they can be employed for the rapid, semi-quantitative evaluation of glucosamine and hyaluronic acid in dietary supplements, with the possibility of integration into routine quality control procedures.

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Author:Fabienne Lang, Klaudia Adels, Anna Gaponova, Vitaly Panchuk, Dmitry Kirsanov, Yulia MonakhovaORCiD
DOI:https://doi.org/10.1016/j.microc.2024.112116
ISSN:0026-265X
Parent Title (English):Microchemical Journal
Publisher:Elsevier
Place of publication:Amsterdam
Document Type:Article
Language:English
Year of Completion:2024
Tag:Dietary supplements; Glucosamine; Hyaluronic acid; IR; NIR; Partial least squares; Sensors
Volume:Article in press
Article Number:112116
Length:30 Seiten
Note:
Corresponding author: Yulia Monakhova
Peer Review:Ja
Link:https://doi.org/10.1016/j.microc.2024.112116
Zugriffsart:weltweit
Institutes:FH Aachen / Fachbereich Chemie und Biotechnologie
FH Aachen / Institut fuer Angewandte Polymerchemie
open_access (DINI-Set):open_access
collections:Verlag / Elsevier
Open Access / Hybrid
Geförderte OA-Publikationen / DEAL Elsevier
Licence (German): Creative Commons - Namensnennung