Essential Oils Used in Veterinary Medicine
K. Hüsnü Can Başer, Gerhard Buchbauer in Handbook of Essential Oils, 2020
Milk cows become restless and aggressive each time a group of cows are separated and regrouped. This can last a few days putting cows in more stress resulting in a drop in milk production. Two Auburn University scientists could solve this problem by spraying anise oil (P. anisum) on the cows. Treated animals could not distinguish any differences among the cows in new or old groupings. They were mellower and kept their milk production up. Among many other oils tested but only anise seemed to work (HerbalGram, 1990).
Cultivation of Anise Myrtle (Syzygium anisatum)
Yasmina Sultanbawa, Fazal Sultanbawa in Australian Native Plants, 2017
Anise myrtle leaves can be steam distilled to produce oil. Although it is relatively new oil to the aromatherapy industry, it has the potential to supersede traditional Aniseed essential oils on the basis of a superior anethole content and a fresher Anise aroma. It also has applications within the fragrance industry for cosmetics. Table 2.1 show the composition of anise myrtle essential oil and a certificate of analysis.
Apiaceae Plants Growing in the East
Mahendra Rai, Shandesh Bhattarai, Chistiane M. Feitosa in Ethnopharmacology of Wild Plants, 2021
Anise is well known for essential oil, which gives it the characteristics of odor and aroma. Although the major component of anise oil is trans-anethole (75–90%), other constituents include coumarins (umbelliferone, umbelliprenine, bergapten, and scopoletin), lipids (fatty acids, betaarmyrin, stigmasterol, and its salts), and flavonoids (flavonol, flavone, glycosides, rutin, isoorientin).
GC-MS metabolites profiling of anethole-rich oils by different extraction techniques: antioxidant, cytotoxicity and in-silico enzymes inhibitory insights
Published in Journal of Enzyme Inhibition and Medicinal Chemistry, 2022
Dina M. El-Kersh, Nada M. Mostafa, Shaimaa Fayez, Tarfah Al-Warhi, Mohammed A. S. Abourehab, Wagdy M. Eldehna, Mohamed A. Salem
The chemical composition, as well as the qualitative and quantitative variability of the anise and star anise essential oils extracted by three different extraction techniques, were further studied. Successful analysis of metabolite data utilises multivariate data analysis (MVDA) to compare diversities among the datasets. Unsupervised machine learning methods, such as hierarchical cluster analysis (HCA) and principal component analysis (PCA) search for patterns and clusters in unlabelled data42,43.
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