The provided JSON configuration outlines a detailed prompt for generating a comprehensive entry on a flavor and fragrance material, specifically cinnamon bark oil (CAS: 8015-91-6), 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 of the Prompt

1. Material Type Handling:

   • The prompt distinguishes between single chemical compounds and complex natural materials. Cinnamon bark oil is treated as a complex natural material, meaning it should be described as a mixture with variable composition.

2. Depth Requirement:

   • Each section of the entry must be substantive, with a target length of 1100-1700 words for complex natural materials. This ensures thorough coverage of each aspect of the material.

3. Output Format:

   • The entry must follow a specific format with numbered headings and include a "Citation hooks:" line under each section to indicate sources for further reference.

Sections to Include

1. Identity & Chemical Information:

   • This section should provide common names, CAS number, and other identifiers relevant to cinnamon bark oil. It should describe the material type and source rather than a molecular structure.

2. Sensory Profile:

   • Describes the odor and flavor characteristics of cinnamon bark oil, including intensity and typical sensory roles.

3. Natural Occurrence & Formation:

   • Details the natural sources of cinnamon bark oil and its relevance to "natural flavor" or "natural fragrance" designations.

4. Use in Flavors:

   • Discusses the applications of cinnamon bark oil in flavor systems, including typical use levels and stability considerations.

5. Use in Fragrances:

   • Covers the fragrance applications, including fragrance families, functional roles, and concentration ranges.

6. Key Constituents (Typical):

   • Lists major constituents of cinnamon bark oil, noting that composition can vary by origin and processing.

7. Regulatory Status (Regional Overview):

   • Summarizes the regulatory status of cinnamon bark oil in various regions, including the US, EU, UK, Asia, and Latin America.

8. Toxicology, Safety & Exposure Considerations:

   • Discusses safety considerations for oral, dermal, and inhalation exposure routes.

9. Practical Insights for Formulators:

   • Provides expert insights on the value of cinnamon bark oil, typical synergies, and common formulation pitfalls.

10. Confidence & Data Quality Notes:

    • Summarizes the quality and reliability of the data used in the entry.

11. QA Check:

    • A checklist to ensure all required sections are present and meet the specified requirements.

Quality Assurance

The prompt includes a QA section to ensure that all necessary components are included and that the entry meets the specified word count and citation requirements. This ensures the final output is comprehensive and reliable for professional use.

Overall, this prompt is designed to guide the generation of a detailed and authoritative entry on cinnamon bark oil, providing valuable information 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 2026-01-17 14:56:31 GMT (p2)