Medicinal Plant Research in Africa - 2nd Edition by Victor Kuete (Hardcover)

Book Synopsis

Medicinal Plant Research in Africa, second edition is an updated and complete reference on the pharmacology of most relevant African species and their phytochemical properties. Although pharmacopoeias of most African countries are available and contain an impressive number of medicinal plants used for various therapeutic purposes, however there was no global standard book on the nature and specificity of chemicals isolated in African medicinal plants. This book has set the standard when it first published in 2013 and now is updated with novel phytochemicals belonging to diverse classes of terpenoids, phenolics, and alkaloids. The first chapter cover monoterpenes and related phytochemicals and is followed by sesquiterpenes on chapter two. Chapter tri reviews diterpenoids and chapter four provides an overview of triterpenes and steroids. Essential oils, simple phenols, phenolic acids and related esters come next in chapters five and six, respectively. The following chapters cover coumarins, flavonoids, quinones, xanthones, lignans and stilbenes. Tannins, alkaloids, and ceramides. Chapters 15 to 20 focus on specific health conditions starting with antibiotic infection, antimalarial and other antiprotozoal diseases, cytotoxic and anticancer activity, anti-inflammatory and analgesic action, antidiabetic botanicals and the applications of African plant phytochemicals on reproductive, cardiovascular, and central nervous systems conditions. The final chapter covers the market and industry updates since the first edition published. "Medicinal Plant Research in Africa, 2 Ed." provides a complete overview of the main phytochemical principles present in the African flora and their pharmaceutical use. Pharmaceutical scientists, Ethnopharmacists, botanists, and medicinal chemists will benefit from the content organization and the inclusion of the most recent methods for structural identification of phytochemicals, pharmacological techniques, and data interpretation.