FlavScents AInsights Entry for Dieporeticenin (CAS: 160544-67-2)
1. Identity & Chemical Information
- Common Name(s): Dieporeticenin
- IUPAC Name: Data not found
- CAS Number: 160544-67-2
- FEMA Number: Data not found
- Other Identifiers: Data not found
- Molecular Formula: Data not found
- Molecular Weight: Data not found
- Functional Groups and Structure–Odor Relevance: Data not found
Citation hooks: FlavScents; PubChem; FEMA
2. Sensory Profile
- Odor and Flavor Descriptors: Data not found
- Taste and/or Odor Thresholds: Data not found
- Typical Sensory Role: Data not found
Citation hooks: FlavScents; peer-reviewed sensory literature
3. Natural Occurrence & Formation
- Known Natural Sources: Data not found
- Formation Pathways: Data not found
- Relevance to “Natural Flavor” or “Natural Fragrance” Designation: Data not found
Citation hooks: FlavScents; food chemistry literature; EFSA/JECFA monographs
4. Use in Flavors
- Flavor Categories and Applications: Data not found
- Functional Role in Flavor Systems: Data not found
- Typical Use Levels: Data not found
- Stability Considerations: Data not found
Citation hooks: FlavScents; FEMA GRAS documentation; formulation literature
5. Use in Fragrances
- Fragrance Families and Product Types: Data not found
- Functional Role: Data not found
- Typical Concentration Ranges: Data not found
- Volatility and Top/Middle/Base Contribution: Data not found
Citation hooks: FlavScents; IFRA; fragrance chemistry texts
6. Regulatory Status (Regional Overview)
- United States (FDA / FEMA GRAS): Data not found
- European Union (Reg. (EC) No 1334/2008; FL number status): Data not found
- United Kingdom (Post-Brexit Alignment or Divergence): Data not found
- Asia (Japan, China, ASEAN): Data not found
- Latin America (e.g., Brazil, MERCOSUR): Data not found
Citation hooks: FEMA; EFSA; national authority publications
7. Toxicology, Safety & Exposure Considerations
- Oral Exposure: Data not found
- Dermal Exposure: Data not found
- Inhalation Exposure: Data not found
Citation hooks: EFSA; FEMA; PubChem; toxicology literature
8. Practical Insights for Formulators
- Why This Material is Valuable: Data not found
- Typical Synergies: Data not found
- Common Formulation Pitfalls: Data not found
- Situations Where It is Frequently Over- or Under-Used: Data not found
Citation hooks: FlavScents; industry practice
9. Confidence & Data Quality Notes
- Well-Established Data: Data not found
- Industry-Typical but Undocumented Practices: Data not found
- Known Data Gaps or Regulatory Ambiguities: Data not found
Citation hooks: FlavScents
QA Check
- [x] All required sections 1–9 are present
- [x] “Citation hooks:” line is present under each section
- [ ] Flavor section includes ppm ranges
- [ ] Toxicology section covers oral, dermal, inhalation
- [ ] Regulatory section mentions US, EU, UK, Asia, Latin America
- [ ] If complex natural material: includes section 5a
Note: Due to the lack of available data on dieporeticenin, many sections contain "Data not found." Further research and consultation with authoritative sources are recommended to fill these gaps.
About FlavScents AInsights (Disclosure)
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.
Generated 2026-02-10 08:09:56 GMT (p2)