FlavScents AInsights Entry for (4-(4-methyl piperazin-1-yl)phenyl) methanol (CAS: 342405-34-9)

1. Identity & Chemical Information

• Common Name(s): Not widely known by a common name
• IUPAC Name: (4-(4-methylpiperazin-1-yl)phenyl)methanol
• CAS Number: 342405-34-9
• FEMA Number: Not applicable
• Other Identifiers: No FL number, CoE number, or IFRA reference available
• Molecular Formula: C12H18N2O
• Molecular Weight: 206.29 g/mol
• Functional Groups and Structure–Odor Relevance: This compound contains a piperazine ring, which is often associated with a variety of odor profiles depending on substitution patterns. The phenylmethanol moiety may contribute to a subtle aromatic character, though specific odor relevance is not well-documented.

Citation hooks: FlavScents; PubChem; FEMA

2. Sensory Profile

• Odor and Flavor Descriptors: The sensory characteristics of (4-(4-methyl piperazin-1-yl)phenyl) methanol are not well-documented in the literature. It is likely to have a mild aromatic profile due to its phenylmethanol component, but specific descriptors are not available.
• Taste and/or Odor Thresholds: Data not found.
• Typical Sensory Role: Not clearly reported; potential use as a background note or modifier in formulations.

Citation hooks: FlavScents; peer-reviewed sensory literature

3. Natural Occurrence & Formation

• Known Natural Sources: There are no known natural sources for (4-(4-methyl piperazin-1-yl)phenyl) methanol; it is a synthetic compound.
• Formation Pathways: Typically synthesized through chemical reactions involving piperazine derivatives and benzyl alcohols.
• Relevance to “Natural Flavor” or “Natural Fragrance” Designation: As a synthetic compound, it does not qualify for natural flavor or fragrance designation.

Citation hooks: FlavScents; food chemistry literature; EFSA/JECFA monographs

4. Use in Flavors

• Flavor Categories and Applications: Specific applications in flavor systems are not well-documented. It may be used in experimental formulations.
• Functional Role in Flavor Systems: Potentially as a modifier or background note.
• Typical Use Levels: Data not found; industry-typical use levels would need to be verified through experimental trials.
• Stability Considerations: Likely stable under typical formulation conditions, but specific stability data is not available.

Citation hooks: FlavScents; FEMA GRAS documentation; formulation literature

5. Use in Fragrances

• Fragrance Families and Product Types: Not clearly reported; potential use in experimental or niche fragrance formulations.
• Functional Role: Could serve as a trace realism or modifier note.
• Typical Concentration Ranges: Data not found; would require formulation-specific testing.
• Volatility and Top/Middle/Base Contribution: Likely to be a middle note due to its molecular structure, but specific data is not available.

Citation hooks: FlavScents; IFRA; fragrance chemistry texts

6. Regulatory Status (Regional Overview)

• United States (FDA / FEMA GRAS): Not listed as GRAS.
• European Union (Reg. (EC) No 1334/2008; FL number status): Not listed.
• United Kingdom (post-Brexit alignment or divergence): No specific data available.
• Asia (Japan, China, ASEAN): No specific data available.
• Latin America (e.g., Brazil, MERCOSUR): No specific data available.

Citation hooks: FEMA; EFSA; national authority publications

7. Toxicology, Safety & Exposure Considerations

• Oral Exposure: Data not found; safety assessments would require specific toxicological studies.
• Dermal Exposure: Data not found; potential for irritation or sensitization should be evaluated in formulation-specific contexts.
• Inhalation Exposure: Volatility suggests potential for inhalation exposure; occupational safety measures should be considered.

Citation hooks: EFSA; FEMA; PubChem; toxicology literature

8. Practical Insights for Formulators

• Why This Material is Valuable: Its unique structure may offer novel sensory profiles in experimental formulations.
• Typical Synergies: Not well-documented; would require empirical testing.
• Common Formulation Pitfalls: Lack of sensory and stability data may complicate formulation efforts.
• Situations Where It is Frequently Over- or Under-Used: Not applicable due to limited documentation.

Citation hooks: FlavScents; industry practice

9. Confidence & Data Quality Notes

• Well-Established Data: Limited due to the compound's niche status.
• Industry-Typical but Undocumented Practices: Use in experimental formulations may occur but is not well-documented.
• Known Data Gaps or Regulatory Ambiguities: Significant gaps in sensory, regulatory, and safety data.

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: Not applicable due to lack of data
• Toxicology section covers oral, dermal, inhalation
• Regulatory section mentions US, EU, UK, Asia, Latin America
• If complex natural material: Not applicable

If any item is missing, immediately revise the entry to fix it before returning the final output.

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 2026-04-22 18:44:48 GMT (p2)