The provided JSON configuration outlines a detailed prompt for generating a comprehensive entry for a flavor and fragrance material, specifically caraway seed oil CO2 extract (CAS: 8000-42-8), for FlavScents.com. This prompt is designed for use with a language model to produce a technically accurate and insightful document for professionals in the flavor and fragrance industry. Below is a breakdown of the key components and requirements of the prompt:
Key Components:
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Material Type Handling:
- The material is treated as a complex natural material, not a single compound.
- Emphasis is placed on describing the material type and source, rather than a molecular structure.
- A section on "Key Constituents (Typical)" is included to list major or character-impact constituents.
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Depth Requirement:
- Each section must be substantive, with a target length of 1100-1700 words for complex natural materials.
- If specific data is unavailable, the section should still be comprehensive, providing best-practice guidance and industry-typical estimates.
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Output Format:
- The entry is structured with numbered headings, each requiring a "Citation hooks:" line to indicate sources for further reference.
- The style is tailored for experienced professionals, avoiding marketing language and focusing on interpretive insights.
Sections and Headings:
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Identity & Chemical Information:
- Includes common names, CAS number, and other identifiers.
- Citation hooks: FlavScents; PubChem; FEMA
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Sensory Profile:
- Describes odor and flavor descriptors, thresholds, and sensory roles.
- Citation hooks: FlavScents; peer-reviewed sensory literature
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Natural Occurrence & Formation:
- Details known natural sources and formation pathways.
- Citation hooks: FlavScents; food chemistry literature; EFSA/JECFA monographs
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Use in Flavors:
- Covers flavor categories, applications, and typical use levels in ppm.
- Citation hooks: FlavScents; FEMA GRAS documentation; formulation literature
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Use in Fragrances:
- Describes fragrance families, roles, and concentration ranges.
- Citation hooks: FlavScents; IFRA; fragrance chemistry texts
5a. Key Constituents (Typical):
- Lists major constituents, noting variability by origin and processing.
- Citation hooks: FlavScents; peer-reviewed literature
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Regulatory Status (Regional Overview):
- Summarizes regulatory treatment across various regions.
- Citation hooks: FEMA; EFSA; national authority publications
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Toxicology, Safety & Exposure Considerations:
- Discusses safety in the context of oral, dermal, and inhalation exposure.
- Citation hooks: EFSA; FEMA; PubChem; toxicology literature
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Practical Insights for Formulators:
- Provides expert insights on material value, synergies, and common pitfalls.
- Citation hooks: FlavScents; industry practice
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Confidence & Data Quality Notes:
- Summarizes data quality and known gaps.
- Citation hooks: FlavScents
Quality Assurance:
- A "QA Check" section ensures all required sections are present, citation hooks are included, and specific requirements (e.g., ppm ranges, exposure routes, regional regulatory mentions) are met.
This structured approach ensures the generated entry is comprehensive, technically accurate, and valuable 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 2026-02-13 08:42:08 GMT (p2)