The provided JSON configuration outlines a detailed prompt for generating a comprehensive entry for a material used in flavors and fragrances. This prompt is designed for a technical research assistant contributing to FlavScents.com, focusing on clarity, accuracy, and relevance to formulation and safety contexts. Below is a breakdown of the key components and requirements of the prompt:
Key Components:
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Material Information: The prompt is tailored for a specific material, in this case, "poly(dipropyleneglycol adipate) (CAS: 9010-89-3)". It requires detailed chemical and sensory information about the material.
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Source Priority: The prompt emphasizes using internal references from FlavScents and external authoritative sources like FEMA, EFSA, IFRA, and others. It explicitly excludes direct use of GoodScents data, assuming it's integrated into FlavScents.
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Material Type Handling:
- For single compounds, detailed chemical information is required.
- For complex natural materials, a description of the material type and source is needed, along with a list of key constituents.
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Depth Requirement: Each section must be substantive, with specific word count targets for single compounds and complex materials. Missing data should be acknowledged, and best-practice guidance should be provided.
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Output Format: The entry must follow a structured format with numbered headings and include a "Citation hooks:" line for each section.
Sections and Requirements:
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Identity & Chemical Information: Includes common names, IUPAC name, CAS number, and other identifiers. For single compounds, molecular formula and weight are required.
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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, typical 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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Key Constituents (Typical): Only for complex materials, listing major constituents and noting variability.
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Regulatory Status (Regional Overview): Summarizes regulatory treatment across regions, distinguishing approvals and uncertainties.
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Toxicology, Safety & Exposure Considerations: Discusses safety for oral, dermal, and inhalation exposure, addressing risk profiles.
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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: A checklist to ensure all sections are present, citation hooks are included, and specific requirements are met.
Quality Assurance:
- The QA section ensures all sections are included, citation hooks are present, ppm ranges are in the flavor section, toxicology covers all exposure routes, and regulatory status includes all specified regions.
- For complex materials, the key constituents section is mandatory.
This structured approach ensures that the generated 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 2026-01-27 04:37:52 GMT (p2)