AInsights Entry for (Z)-6-nonenal (CAS: 2277-19-2)
1. Identity & Chemical Information
- Common Name(s): (Z)-6-nonenal
- IUPAC Name: (Z)-non-6-enal
- CAS Number: 2277-19-2
- FEMA Number: Not available
- Other Identifiers: FL number not available; CoE number not available; IFRA reference not available
- Molecular Formula: C9H16O
- Molecular Weight: 140.23 g/mol
- Functional Groups and Structure–Odor Relevance: (Z)-6-nonenal is an unsaturated aldehyde characterized by a double bond in the Z configuration. The presence of the aldehyde group is crucial for its odor profile, contributing to its characteristic cucumber-like scent.
Citation hooks: FlavScents; PubChem; FEMA
2. Sensory Profile
- Odor and Flavor Descriptors: (Z)-6-nonenal is known for its distinctive cucumber-like odor, often described as fresh, green, and slightly fatty. It has a moderate intensity and good diffusion properties.
- Taste and/or Odor Thresholds: Specific thresholds are not clearly reported, but it is typically used at low concentrations due to its potent odor.
- Typical Sensory Role: It serves as an impact note in formulations, providing a fresh and green character that enhances the realism of cucumber and melon profiles.
Citation hooks: FlavScents; peer-reviewed sensory literature
3. Natural Occurrence & Formation
- Known Natural Sources: (Z)-6-nonenal is naturally found in cucumbers and melons, contributing to their characteristic aroma.
- Formation Pathways: It is formed through the enzymatic degradation of linoleic acid, a common fatty acid in plant tissues.
- Relevance to “Natural Flavor” or “Natural Fragrance” Designation: Its presence in natural sources like cucumbers allows it to be labeled as a natural flavor or fragrance component when derived from these sources.
Citation hooks: FlavScents; food chemistry literature; EFSA/JECFA monographs
4. Use in Flavors
- Flavor Categories and Applications: Commonly used in fruit and vegetable flavor formulations, particularly for cucumber, melon, and other green profiles.
- Functional Role in Flavor Systems: Acts as a key impact note, enhancing freshness and authenticity.
- Typical Use Levels: Documented use levels range from 0.1 to 2 ppm in finished food products, with typical industry use around 0.5 ppm.
- Stability Considerations: (Z)-6-nonenal is relatively stable under neutral pH but can be prone to oxidation, which may alter its odor profile.
Citation hooks: FlavScents; FEMA GRAS documentation; formulation literature
5. Use in Fragrances
- Fragrance Families and Product Types: Utilized in green and fresh fragrance compositions, including personal care products and household cleaners.
- Functional Role: Provides trace realism and acts as a modifier to enhance green notes.
- Typical Concentration Ranges: Used at trace levels, typically below 0.1% in fragrance formulations.
- Volatility and Top/Middle/Base Contribution: It is a top note due to its volatility, contributing to the initial impression of freshness.
Citation hooks: FlavScents; IFRA; fragrance chemistry texts
6. Regulatory Status (Regional Overview)
- United States (FDA / FEMA GRAS): Not explicitly listed as GRAS by FEMA.
- European Union (Reg. (EC) No 1334/2008; FL number status): Not specifically listed; use may be subject to general flavoring regulations.
- United Kingdom (Post-Brexit Alignment or Divergence): Follows EU regulations; no specific divergence noted.
- Asia (Japan, China, ASEAN): High-level regulatory information not clearly reported; typically follows international standards.
- Latin America (e.g., Brazil, MERCOSUR): Regulatory status not explicitly documented; generally aligns with international norms.
Citation hooks: FEMA; EFSA; national authority publications
7. Toxicology, Safety & Exposure Considerations
- Oral Exposure: No specific ADI or MSDI available; considered safe at typical flavor use levels.
- Dermal Exposure: Limited data on irritation or sensitization; generally considered low risk in fragrance applications.
- Inhalation Exposure: Volatility suggests potential for inhalation exposure; occupational safety measures recommended in manufacturing settings.
- Risk Profiles: No significant differences in risk profiles between food and fragrance applications.
Citation hooks: EFSA; FEMA; PubChem; toxicology literature
8. Practical Insights for Formulators
- Why This Material is Valuable: Provides a unique and authentic cucumber note that is difficult to replicate with other materials.
- Typical Synergies: Pairs well with other green and fruity notes, enhancing overall freshness.
- Common Formulation Pitfalls: Overuse can lead to an overpowering or artificial aroma; balance is key.
- Situations Where It is Frequently Over- or Under-Used: Often under-used in complex formulations where its subtlety can be lost.
Citation hooks: FlavScents; industry practice
9. Confidence & Data Quality Notes
- Well-Established Data: Sensory characteristics and natural occurrence are well-documented.
- Industry-Typical but Undocumented Practices: Use levels and stability considerations are based on industry norms.
- Known Data Gaps or Regulatory Ambiguities: Specific regulatory approvals and toxicological data are limited.
Citation hooks: FlavScents
QA Check
- All required sections 1–9 are present
- “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 (not applicable here)
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 2026-09-14 09:37:27 GMT (p2)