Editorial Sources, Corrections & Review Policy

Technical pages are written to help cosmetic buyers and formulators make a defined decision. They combine source-checked background information with original purchasing questions, checklists and clearly labelled hypothetical examples. AI-assisted drafting and technical editing are used; the site does not claim that this process is an independent laboratory test or a credentialed expert endorsement.

• Sources: prefer original technical documentation and named product owners
• Examples: state assumptions and separate them from batch results
• Claims: preserve the material, application and evidence boundaries

A source about another supplier’s preparation is context, not proof of Hytanbio specifications or authorisation. Contradictory or unclear details should remain unresolved until better evidence is available. Business facts such as actual MOQ, certification and factory scope need the corresponding business documents. Corrections can be sent to info@hytanbio.com with the page, disputed statement and relevant evidence for review.

Pages are scheduled for regular review and should also be revisited when supporting documents, specifications, product scope or search questions change. A review checks the source links, answer boundaries, numerical assumptions and related pages. A visible content-update date should reflect a substantive change, while a review date records a completed check; neither should be advanced merely to make old text look fresh.

• Routine: monthly review of priority product and knowledge pages
• Triggers: changed source, specification, document or recurring buyer question
• Record: reviewed date, change summary and unresolved evidence gaps

The administration area lists pages needing review. A completed review should state what was checked and whether a content change was needed. Search-result presence and external AI citations can vary by platform, location and time, so observations must name their source and date. The site does not guarantee rankings, AI inclusion or a rich-result display from structured data alone.