ArticleMolecules (Basel, Switzerland)2014
Hyperspectral imaging and chemometric modeling of echinacea - a novel approach in the quality control of herbal medicines.
Article in Molecules (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- A Nondestructive Methodology for Determining Chemical Composition ofSensors (Basel, Switzerland) · 2023Article
- Development status of novel spectral imaging techniques and application to traditional Chinese medicine.Journal of pharmaceutical analysis · 2023Review
- Detection of Oxacillin/Cefoxitin Resistance inMicroorganisms · 2023Article
- A Review of The Application of Spectroscopy to Flavonoids from Medicine and Food Homology Materials.Molecules (Basel, Switzerland) · 2022Review
- A Review of Pharmaceutical Robot based on Hyperspectral Technology.Journal of intelligent & robotic systems · 2022Review
- Near-Infrared Spectroscopy in Bio-Applications.Molecules (Basel, Switzerland) · 2020Review
- Principles and Applications of Vibrational Spectroscopic Imaging in Plant Science: A Review.Frontiers in plant science · 2020Review
- Determination of Total Polysaccharides and Total Flavonoids inMolecules (Basel, Switzerland) · 2018Article
- Simultaneous Determination of Seven Phenolic Acids in Rat Plasma Using UHPLC-ESI-MS/MS after Oral Administration of Echinacea purpurea Extract.Molecules (Basel, Switzerland) · 2017Article
- Determination and Visualization of Peimine and Peiminine Content in Fritillaria thunbergii Bulbi Treated by Sulfur Fumigation Using Hyperspectral Imaging with Chemometrics.Molecules (Basel, Switzerland) · 2017Article
- Advances of Vibrational Spectroscopic Technologies in Life Sciences.Molecules (Basel, Switzerland) · 2017Article
- The Application of Vibrational Spectroscopy Techniques in the Qualitative Assessment of Material Traded as Ginseng.Molecules (Basel, Switzerland) · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Echinacea species are popularly included in various formulations to treat upper respiratory tract infections. These products are of commercial importance, with a collective sales figure of $132 million in 2009. Due to their close taxonomic alliance it is difficult to distinguish between the three Echinacea species and incidences of incorrectly labeled commercial products have been reported. The potential of hyperspectral imaging as a rapid quality control method for raw material and products containing Echinacea species was investigated. Hyperspectral images of root and leaf material of authentic Echinacea species (E. angustifolia, E. pallida and E. purpurea) were acquired using a sisuChema shortwave infrared (SWIR) hyperspectral pushbroom imaging system with a spectral range of 920-2514 nm. Principal component analysis (PCA) plots showed a clear distinction between the root and leaf samples of the three Echinacea species and further differentiated the roots of different species. A classification model with a high coefficient of determination was constructed to predict the identity of the species included in commercial products. The majority of products (12 out of 20) were convincingly predicted as containing E. purpurea, E. angustifolia or both. The use of ultra performance liquid chromatography-mass spectrometry (UPLC-MS) in the differentiation of the species presented a challenge due to chemical similarities between the solvent extracts. The results show that hyperspectral imaging is an objective and non-destructive quality control method for authenticating raw material.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.