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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 Publisher



Zargaran A1, 2 ; Sakhteman A3 ; Faridi P1, 4 ; Daneshamouz S5 ; Akbarizadeh AR5 ; Borhanihaghighi A6 ; Mohagheghzadeh A1
Authors
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Authors Affiliations
  1. 1. Pharmaceutical Sciences Research Center, Department of Phytopharmaceuticals (Traditional Pharmacy), School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran
  2. 2. Department of Traditional Pharmacy, School of Traditional Medicine, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Department of Medicinal Chemistry, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran
  4. 4. Research Office for the History of Persian Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
  5. 5. Department of Pharmaceutics, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran
  6. 6. Clinical Neurology Research Center, Department of Neurology, Shiraz University of Medical Sciences, Shiraz, Iran

Source: Journal of Evidence-Based Complementary and Alternative Medicine Published:2017


Abstract

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. © 2017, © The Author(s) 2017.
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