TY - JOUR
T1 - Advanced mass spectrometry profiling of phenolic and minerals compounds in herbal beverages
AU - Puig, Laura Pineda
AU - Ferrer, Ariadna Verdaguer
AU - Fernández-Ruano, Laura
AU - Blasco, Josep Lluis Lliberia
AU - Cladera, Margalida Artigues
AU - Cabré Boqué, Meritxell
N1 - Funding Information:
The authors wish to thank Prof. Dr. Jordi Abella for proof reading the article.
Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/12/1
Y1 - 2023/12/1
N2 - The global pandemic of COVID-19 has led to an increased interest in herbal infusions as natural remedies since 2020. This has also heightened the need for controlling the composition of these dietary supplements to ensure consumer health and prevent food fraud. In the present work, various mass spectrometry techniques were used to analyze the organic and inorganic composition of 23 herbal infusion samples. UHPLC-ESI-QTOF-MS was used to determine target, suspect, and nontarget polyphenolic compounds. Thus, 8 phenolic compounds were identified in the target analysis and additionally, 80 extra-compounds were identified through suspect and nontargeted screening. ICP-MS was used to monitor the metals released during tea leaf infusion, providing a complete mineral composition of each sample. Principal Component Analysis (PCA) and Discriminant Analysis (DA) were utilized to identify relevant compounds for differentiating and grouping the samples, thus serving as specific markers to detect potential food fraud.
AB - The global pandemic of COVID-19 has led to an increased interest in herbal infusions as natural remedies since 2020. This has also heightened the need for controlling the composition of these dietary supplements to ensure consumer health and prevent food fraud. In the present work, various mass spectrometry techniques were used to analyze the organic and inorganic composition of 23 herbal infusion samples. UHPLC-ESI-QTOF-MS was used to determine target, suspect, and nontarget polyphenolic compounds. Thus, 8 phenolic compounds were identified in the target analysis and additionally, 80 extra-compounds were identified through suspect and nontargeted screening. ICP-MS was used to monitor the metals released during tea leaf infusion, providing a complete mineral composition of each sample. Principal Component Analysis (PCA) and Discriminant Analysis (DA) were utilized to identify relevant compounds for differentiating and grouping the samples, thus serving as specific markers to detect potential food fraud.
KW - Chemical profile
KW - Chemometric analysis
KW - Classification
KW - Herbal infusions
KW - Mass spectrometry techniques
KW - Polyphenols
UR - http://www.scopus.com/inward/record.url?scp=85163833304&partnerID=8YFLogxK
U2 - 10.1016/j.foodchem.2023.136767
DO - 10.1016/j.foodchem.2023.136767
M3 - Article
AN - SCOPUS:85163833304
SN - 0308-8146
VL - 428
JO - Food Chemistry
JF - Food Chemistry
M1 - 136767
ER -