≥97% for sensitive chromatographic and analytical workflows requiring minimal baseline interference.
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Storage & shipping
Store at -20°C Ships Ice chest + Ice pads Check lot-specific COA for exact specifications.
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Quality documents
SDS, COA, datasheet, and spec sheet available for download. Lot-specific COA accessible via lot number lookup.
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Literature proof
Cited in 0 peer-reviewed publications across chromatography, organic synthesis, and cross-coupling reactions.
Visão geral
3β,5α,6β-Trihydroxycholestane is a steroid that occurs naturally in the body and is also found in certain foods. It belongs to a class of compounds known as cholestanes, which are closely related to the better known cholesterol. This particular compound is formed from cholesterol through a series of enzymatic reactions in the liver and other organs. It has been studied for its potential health benefits, including its ability to reduce inflammation and oxidative stress in the body. Some research suggests that it may also play a role in regulating blood sugar levels and improving insulin sensitivity. Despite these potential benefits, 3β,5α,6β-Trihydroxycholestane is not widely used as a supplement or medicine due to its relatively low content, focus on natural resources and limited research. However, researchers continue to investigate its potential uses and effects on human health.
3β，5α，6β-Trihydroxycholestane or cholestan-3β,5α,6β-triol (C-triol) levels are elevated along with 7-ketocholesterol in Niemann-Pick type C (NP-C) disease and is a key biomarkers for detection. It exhibits neuroprotective functionality during central nerv
Condições de armazenamento de armazenamento
Store at -20°C
Enviado em
Ice chest + Ice pads
Este produto requer transporte de cadeia fria. Serviços terrestres e outros serviços econômicos não estão disponíveis.
This compound belongs to the class of organic compounds known as cholesterols and derivatives. These are compounds containing a 3-hydroxylated cholestane core.
External Descriptors
Cholesterol and derivatives
1. Djoumbou Feunang Y, Eisner R, Knox C, Chepelev L, Hastings J, Owen G, Fahy E, Steinbeck C, Subramanian S, Bolton E, Greiner R, and Wishart DS. ClassyFire: Automated Chemical Classification With A Comprehensive, Computable Taxonomy. Journal of Cheminformatics, 2016, 8:61.
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