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Reformulation of Traditional Chamomile Oil: Quality Controls and Fingerprint Presentation Based on Cluster Analysis of Attenuated Total Reflectance-Infrared Spectral Data.

Arman ZargaranAmirhossein SakhtemanPouya FaridiSaeid DaneshamouzAmin Reza AkbarizadehAfshin Borhani-HaghighiAbdolali Mohagheghzadeh
Published in: Journal of evidence-based complementary & alternative medicine (2017)
Herbal oils have been widely used in Iran as medicinal compounds dating back to thousands of years in Iran. Chamomile oil is widely used as an example of traditional oil. We remade chamomile oils and tried to modify it with current knowledge and facilities. Six types of oil (traditional and modified) were prepared. Microbial limit tests and physicochemical tests were performed on them. Also, principal component analysis, hierarchical cluster analysis, and partial least squares discriminant analysis were done on the spectral data of attenuated total reflectance-infrared in order to obtain insight based on classification pattern of the samples. The results show that we can use modified versions of the chamomile oils (modified Clevenger-type apparatus method and microwave method) with the same content of traditional ones and with less microbial contaminations and better physicochemical properties.
Keyphrases
  • fatty acid
  • optical coherence tomography
  • microbial community
  • electronic health record
  • machine learning
  • big data
  • deep learning
  • computed tomography
  • case report
  • data analysis
  • artificial intelligence