NCBI PubMed Central
open access
Optimizing the rice wine process of P olygonatum sibiricum Red. using response surface methodology (RSM) and back-propagation (BP) neural network to enhance biological activity and reduce 5-hydroxymethylfurfural (5-HMF).
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Recovery and kinetic modeling of phenolic acids from piper betle L. leaves via subcritical water extraction#293275
- Non-Destructive Analysis of Phenolic and Flavonoid Contents in Medicinal Plant Powders Using Hyperspectral Imaging and Variable Selection.#452891
- Phenolic Compounds in Rosemary (Rosmarinus officinalis L.): Scientific Review#395257
- Evaluación de tres dosis de biol como complemento a la fertilización nitrogenada en el cultivo de brócoli (Brassica oleracia italica L) híbrido Legacy en Pichincha.#342772
- Evaluation of Blue Poppy (Papaver somniferum) By-Products as a Sustainable Source of Polyphenols and Antioxidants#482743
Record · ID 399637
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive