ArticleAnalytical and bioanalytical chemistry2023
Detection of botanical adulterants in saffron powder.
Article in Analytical and bioanalytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Postprandial Metabolite and Antioxidant Kinetics Following Intake of a Carob Beverage in Healthy Males.Nutrients · 2026Article
- Separative Techniques Coupled to Mass Spectrometry for Metabolomic Analysis.Advances in experimental medicine and biology · 2026Review
- Stable isotope and multi-elemental analysis combined with statistical modeling for saffron origin authentication.Food chemistry: X · 2025Article
- CNATNet: a convolution-attention hybrid network for safflower classification.Frontiers in plant science · 2025Article
- Comparison of data processing strategies using commercial vs. open-source software in GC-Orbitrap-HRMS untargeted metabolomics analysis for food authentication: thyme geographical differentiation and marker identification as a case study.Analytical and bioanalytical chemistry · 2024Article
- Integrated Proteomics and Metabolomics of Safflower Petal Wilting and Seed Development.Biomolecules · 2024Article
- Rapid Indentification of Auramine O Dyeing Adulteration inFoods (Basel, Switzerland) · 2023Article
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4 authors.
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Abstract
Saffron is a unique spice obtained by drying stigmas of saffron flowers (Crocus sativus L.). Due to its high price, economically motivated adulteration occurs relatively often. The presented study aimed to develop an effective strategy for the detection of the following potential botanical adulterants used for a saffron substitution or dilution: safflower (Carthamus tinctorius L.), calendula (Calendula officinalis L.), turmeric (Curcuma longa L.), achiote (Bixa orellana L.), red pepper (Capsicum spp.), mountain arnica (Arnica montana L.), beet (Beta vulgaris L.), and pomegranate (Punica granatum L.). A non-target screening strategy based on ultra-high performance reverse-phase liquid chromatography coupled to tandem high-resolution mass spectrometry (UHPLC-HRMS/MS) was employed for the analysis of an aqueous ethanol plant extract. By using multivariate statistical methods, principal components analysis (PCA), and partial least squares discriminant analysis (PLS-DA), for processing the generated "chemical fingerprints," metabolites unique to the investigated plants could be identified. To enable routine saffron authenticity control by target screening, an internal spectral database was developed; currently, it involves 82 unique markers. In this way, the detection addition as low as 1% (w/w) of all analyzed botanical adulterants in admixture with saffron was possible. The developed method was used to control 7 saffron powder samples from the Czech market, and none of the monitored adulterants were confirmed.
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