Fermentation and Determination of Anti-Cholesterol Monakolin K from Different Monascus purpureus Isolates
- 10.2991/ahsr.k.200523.055How to use a DOI?
- Monascus purpureus, fermentation, HPLC
Objectives: Monascus purpureus (M. purpureus) is the predominant mold of the red yeast rice. Red yeast rice is the product of rice fermentation by M. purpureus through solid fermentation system. The red yeast rice has long been consumed as flavoring, food coloring and traditional medicines for various diseases, one of which is to treat hypercholesterolemia, as they contain nutritious bioactive materials which are terpenoid compounds whereas mevinolin or monakolin K is the most dominant. Therefore, researches had been conducted to determine Monakolin K levels of several M. purpureus isolates, among others are isolates of LIPI F01, F147 LIPI, IPB-A, IPB-B and ITB, as the product of solid fermentation using IR 64 white rice as a substrate. The measurement of Monakolin K levels was done by extracting the sample using 80% methanol on the fermentation at 14th day, followed by examining the Monakolin K levels using HPLC (High Performance Liquid Chromatography) with UV detector at λ 238 nm using motion phase of acetonitrile: phosphoric acid 0, 2% (1: 1). The research results showed that the highest Monakolin K levels was produced by IPB-A isolates with the level was as high as 15.0517 ppm, while the lowest Monakolin K level was generated by LIPI F147 isolates, with the level was as low as 1.4264 ppm.
- © 2020, the Authors. Published by Atlantis Press.
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Cite this article
TY - CONF AU - Anna Yuliana AU - Khusnul AU - Syifa Ul Zannah AU - Ira Rahmiyani AU - Saeful Amin PY - 2020 DA - 2020/06/08 TI - Fermentation and Determination of Anti-Cholesterol Monakolin K from Different Monascus purpureus Isolates BT - The proceedings of the 2nd Bakti Tunas Husada-Health Science International Conference (BTH-HSIC 2019) PB - Atlantis Press SP - 225 EP - 227 SN - 2468-5739 UR - https://doi.org/10.2991/ahsr.k.200523.055 DO - 10.2991/ahsr.k.200523.055 ID - Yuliana2020 ER -