The provided JSON configuration outlines a detailed prompt for generating a comprehensive entry on a specific flavor and fragrance material, alpha,alpha-dimethyl anisyl acetone (CAS: 103-13-9), for FlavScents.com. This prompt is designed for a technical research assistant and emphasizes clarity, accuracy, and relevance to formulation and safety contexts. Here's a breakdown of the key components and requirements:
Key Components:
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Material Type Handling:
- The prompt distinguishes between single chemical compounds and complex natural materials, providing specific instructions for each type.
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Depth Requirement:
- Each section must be substantively filled, with specific word count targets for single-compound and complex materials.
- Missing data should be acknowledged, and best-practice guidance should be provided.
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Output Format:
- The entry should follow a structured format with numbered headings and include a "Citation hooks:" line for each section.
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Sections:
- Identity & Chemical Information: Includes common names, IUPAC name, CAS number, and other identifiers.
- Sensory Profile: Describes odor and flavor characteristics.
- Natural Occurrence & Formation: Details natural sources and formation pathways.
- Use in Flavors: Discusses flavor applications and typical use levels.
- Use in Fragrances: Covers fragrance applications and concentration ranges.
- Regulatory Status: Provides a regional overview of regulatory treatment.
- Toxicology, Safety & Exposure Considerations: Discusses safety in the context of exposure routes.
- Practical Insights for Formulators: Offers expert insights on formulation.
- Confidence & Data Quality Notes: Summarizes data quality and gaps.
- QA Check: Ensures all sections are present and requirements are met.
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Quality Assurance:
- A checklist is included to verify the presence of all required sections and adherence to specific requirements.
Constraints and Style:
- The writing should be tailored for experienced professionals, avoiding marketing language and focusing on interpretive insights.
This configuration ensures that the generated entry is thorough, 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 2026-01-26 18:11:49 GMT (p2)