The provided JSON configuration outlines a detailed prompt for generating a comprehensive entry for a flavor and fragrance material, specifically galbascone (IFF) (CAS: 56973-85-4), for the FlavScents.com platform. This prompt is designed for use with a language model to produce a technically accurate and detailed document that meets the needs of professionals in the flavor and fragrance industry. Below is a breakdown of the key components and requirements of the prompt:
Key Components of the Prompt
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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.
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Depth Requirement:
- Each section must be substantively filled, with a target word count for single compounds (900-1400 words) and complex materials (1100-1700 words).
- Missing data should be acknowledged with guidance on industry practices or estimates.
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Output Format:
- The output is structured with numbered headings and includes specific sections such as Identity & Chemical Information, Sensory Profile, Natural Occurrence & Formation, and more.
- Each section must include a "Citation hooks" line to indicate sources for further reference.
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Quality Assurance:
- A QA Check section is mandatory to ensure all sections are present and requirements are met, such as including ppm ranges in the flavor section and covering all exposure routes in the toxicology section.
Sections and Their Requirements
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Identity & Chemical Information:
- Includes common names, IUPAC name, CAS number, molecular formula, and other identifiers.
- Discusses functional groups and structure-odor relevance.
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Sensory Profile:
- Describes odor and flavor descriptors, thresholds, and sensory roles.
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Natural Occurrence & Formation:
- Details natural sources, formation pathways, and relevance to natural designations.
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Use in Flavors:
- Covers flavor categories, functional roles, use levels, and stability considerations.
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Use in Fragrances:
- Describes fragrance families, functional roles, concentration ranges, and volatility.
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Regulatory Status (Regional Overview):
- Summarizes regulatory treatment across different regions, highlighting approvals and uncertainties.
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Toxicology, Safety & Exposure Considerations:
- Discusses safety in terms of oral, dermal, and inhalation exposure.
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Practical Insights for Formulators:
- Provides expert insights on material value, synergies, and common pitfalls.
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Confidence & Data Quality Notes:
- Summarizes data quality, industry practices, and known gaps.
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QA Check:
- Confirms the presence of all required sections and adherence to guidelines.
Style & Constraints
- The writing is tailored for experienced professionals, avoiding marketing language and focusing on interpretive insights rather than encyclopedic repetition.
This structured approach ensures that the generated content is comprehensive, technically accurate, and useful for professionals in the flavor and fragrance industry, while also maintaining a high standard of quality and consistency.
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 22:05:34 GMT (p2)
