The provided JSON configuration outlines a detailed prompt for generating a comprehensive entry for a flavor and fragrance material, specifically (-)-frullanolide (CAS: 27579-97-1), for FlavScents.com. This prompt is designed for use by a technical research assistant and emphasizes the importance of clarity, accuracy, and relevance in the context of formulation and safety. Here's a breakdown of the key components and requirements:

Key Components:

1. Material Type Handling:

   • The prompt distinguishes between single chemical compounds and complex natural materials, providing specific instructions for each type.
   • For single compounds, detailed chemical information is required, while for complex materials, a focus on key constituents and variability is emphasized.

2. Depth Requirement:

   • Each section must be substantively filled, with specific word count targets to ensure depth and thoroughness.
   • Missing data should be acknowledged, and guidance provided on how to proceed in the absence of specific values.

3. Output Format:

   • The entry must follow a structured format with numbered headings, ensuring consistency and completeness.
   • Each section must include "Citation hooks" to indicate relevant sources for further reference.

Sections to Include:

1. Identity & Chemical Information:

   • Detailed chemical identifiers and structural information for single compounds.
   • Citation hooks: FlavScents, PubChem, FEMA.

2. Sensory Profile:

   • Descriptions of odor and flavor characteristics, including thresholds and roles.
   • Citation hooks: FlavScents, peer-reviewed sensory literature.

3. Natural Occurrence & Formation:

   • Information on natural sources and formation pathways.
   • Citation hooks: FlavScents, food chemistry literature, EFSA, JECFA.

4. Use in Flavors:

   • Applications, functional roles, and typical use levels in ppm.
   • Citation hooks: FlavScents, FEMA, formulation literature.

5. Use in Fragrances:

   • Fragrance applications, roles, and concentration ranges.
   • Citation hooks: FlavScents, IFRA, fragrance chemistry texts.

6. Regulatory Status (Regional Overview):

   • Overview of regulatory status across different regions.
   • Citation hooks: FEMA, EFSA, national authorities.

7. Toxicology, Safety & Exposure Considerations:

   • Safety profiles for oral, dermal, and inhalation exposure.
   • Citation hooks: EFSA, FEMA, PubChem, toxicology literature.

8. Practical Insights for Formulators:

   • Expert insights on formulation synergies and pitfalls.
   • Citation hooks: FlavScents, industry practice.

9. Confidence & Data Quality Notes:

   • Summary of data quality and gaps.
   • Citation hooks: FlavScents.

10. QA Check:

    • A checklist to ensure all sections are present and requirements met.

Quality Assurance:

• The QA section ensures that all required sections are included, citation hooks are present, and specific requirements for flavor, toxicology, and regulatory sections are met.

This structured approach ensures that the entry is comprehensive, technically accurate, and useful for professionals in the flavor and fragrance industry.

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 2026-01-20 16:59:16 GMT (p2)