(2R)-3',5-dihydroxy-4'-methoxyflavanone

Full Material List

N/A

Identifiers

CAS (Single)	1449417-52-0
FEMA	4799
EINECS	N/A
Synonyms	4H-1- benzopyran-4-one, 2,3-dihydro-5-hydroxy-2-(3-hydroxy-4-methoxyphenyl)-, (2R)- (2R)-2,3- dihydro-5-hydroxy-2-(3-hydroxy-4-methoxyphenyl)-4H-1-benzopyran-4-one (2R)-5- hydroxy-2-(3-hydroxy-4-methoxyphenyl)-2,3-dihydro-4H-chromen-4-one (R)-5- hydroxy-2-(3-hydroxy-4-methoxyphenyl)chroman-4-one
JECFA Food Flavoring	2258
JECFA Food Additive	N/A
DG SANTE Food Flavourings	N/A
DG SANTE Food Contact Materials	N/A
FDA UNII
CoE Number	N/A
XlogP3-AA	N/A
Molecular Weight	286.28358
Molecular Formula	C16 H14 O5

Properties

Food Chemicals Codex Listed	No
Appearance	pale yellow powder (est)
Assay	95.00 to 100.00
Specific Gravity	N/A
Lbs/Gal (est)	N/A
Refractive Index	N/A
Melting Point	N/A
Boiling Point	N/A
Flash Point	N/A
Acid Value	N/A
Vapor Pressure	N/A
Vapor Density	N/A
logP (o/w)	N/A
Soluble In	water, 180.6 mg/L @ 25 °C (est)
Occurrence	not found in nature

Organoleptic

Organoleptic Notes	Odor and/or flavor descriptions from others (if found).
Odor	N/A
Flavor	N/A

AInsights BETA

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FlavScents AInsights integrates information from authoritative government, scientific, academic, and industry sources to provide applied, exposure-aware insight into flavor and fragrance materials. Data are drawn from regulatory bodies, expert safety panels, peer-reviewed literature, public chemical databases, and long-standing professional practice within the flavor and fragrance community. Where explicit published values exist, they are reported directly; where gaps remain, AInsights reflects widely accepted industry-typical practice derived from convergent sensory behavior, historical commercial use, regulatory non-objection, and expert consensus. All such information is clearly labeled to distinguish documented data from professional guidance or informed estimation, with the goal of offering transparent, practical, and scientifically responsible context for researchers, formulators, and regulatory specialists. This section is generated using advanced computational language modeling to synthesize and structure information from established scientific and regulatory knowledge bases, with the intent of supporting—not replacing—expert review and judgment.

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