prunus domestica fruit puree

Full Material List

prunus domestica l. fruit puree

Ingredient	Name Detail	CAS
plum kernel oil	prunus domestica l. seed oil	90082-87-4
prunus domestica flower extract	prunus domestica l. flower extract	90082-87-4
prunus domestica fruit extract	prunus domestica l. fruit extract	90082-87-4
prunus domestica fruit juice	N/A	90082-87-4
prunus domestica seed extract	prunus domestica l. seed extract	90082-87-4
prunus domestica seedcake extract	prunus domestica l. seedcake extract	90082-87-4
prunus domestica wood ash	prunus domestica wood ash	90082-87-4

Identifiers

CAS (Single)	90082-87-4
FEMA	N/A
EINECS	N/A
Synonyms	plum fruit puree prunus communis fruit puree prunus domestica subsp. oeconomica fruit puree prunus domestica var. damascena fruit puree prunus sativa subsp. domestica fruit puree
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	N/A
Assay	N/A
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	N/A
Occurrence	prunus domestica fruit

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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