guar gum

Material Search

cyamopsis tetragonolobus l. gum

Ingredient	Name Detail	CAS
hydrolyzed guar	N/A	9000-30-0

Identifiers

CAS (Single)	9000-30-0
FEMA	2537
EINECS	N/A
Synonyms	cluster bean gum burtonite v-7-e cyamopsis psoraloides gum cyamopsis tetragonoloba gum dolichos fabiformis gum dolichos psoraloides gum ecoguar fibraclear partially hydrolyzed guar gum guar flour guar gum guar gum FCC 100 mesh edicol 30-40 guargum powder guarNT 3500 F powder guarNT bland 200 HV powder guarNT bland powder guarNT flavor free 4000 gum cyamopsis jaguar lupinus trifoliatus gum nutriloid 200-LV2 powder pre-hydrated guar gum 8/24 powder pre-hydrated guarNT bland powder psoralea tetragonoloba gum regonol supercol supercol guar gum TIC pretested guar gum 8/24 powder TIC pretested gum guar 8/22 A powder TIC pretested gum guar 8/22 powder TIC pretested gum guar TICOLV FCC powder TICorganic guar gum 3500 F powder ultraguar viscogum guar gum
JECFA Food Flavoring	N/A
JECFA Food Additive	Guar Gum Guar Gum (Clarified)
DG SANTE Food Flavourings	N/A
DG SANTE Food Contact Materials	guar gum
FDA UNII	E89I1637KE
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	water alcohol
Occurrence	cyamopsis tetragonoloba

Organoleptic

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

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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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