anise oleoresin

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pimpinella anisum l. oleoresin

Ingredient	Name Detail	CAS
pimpinella anisum fruit extract	pimpinella anisum l. fruit extract	84775-42-8
pimpinella anisum fruit water	pimpinella anisum l. oleoresin	84775-42-8
pimpinella anisum seed extract	pimpinella anisum seed extract	84775-42-8

Identifiers

CAS (Single)	84775-42-8
FEMA	N/A
EINECS	N/A
Synonyms	anise oleoresin (pimpinella anisum) oleoresin anise pimpinella anisum oleoresin
JECFA Food Flavoring	N/A
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	N/A
Molecular Formula	N/A

Properties

Food Chemicals Codex Listed	No
Appearance	dark green liquid (est)
Assay	99.00 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	168.00 Â°F. TCC ( 75.56 Â°C. )
Acid Value	N/A
Vapor Pressure	N/A
Vapor Density	N/A
logP (o/w)	N/A
Soluble In	N/A
Occurrence	anise

Organoleptic

Organoleptic Notes	1. Odor Type: anise anise sweet licorice Odor Description:at 100.00 %. anise sweet licoriceLuebke, William tgsc, (1998) Odor sample from: CA Aromatics Company Inc.
Odor	anise anise, sweet, licorice,
Flavor	anise anise, licorice,

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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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