ArticleSpectrochimica acta. Part A, Molecular and biomolecular spectroscopy2020
Novel NIR modeling design and assignment in process quality control of Honeysuckle flower by QbD.
Article in Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Melamine-Derived Mesoporous Carbon for Efficient and Selective Removal of Trace Hg(II) from Honeysuckle Decoction.ACS omega · 2024Article
- A Novel Variable Selection Method Based on Binning-Normalized Mutual Information for Multivariate Calibration.Molecules (Basel, Switzerland) · 2023Article
- A Synergetic Strategy for Brand Characterization of Colla Corii Asini (Ejiao) by LIBS and NIR Combined with Partial Least Squares Discriminant Analysis.Molecules (Basel, Switzerland) · 2023Article
- Rapid monitoring of flavonoid content in sweet tea (Lithocarpus litseifolius (Hance) Chun) leaves using NIR spectroscopy.Plant methods · 2022Article
- Spectral denoising based on Hilbert-Huang transform combined with F-test.Frontiers in chemistry · 2022Article
- A novel method for the nondestructive classification of different-age Citri Reticulatae Pericarpium based on data combination technique.Food science & nutrition · 2021Article
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8 authors.
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Abstract
Honeysuckle flower is a common edible-medicinal food with significant anti-inflammatory efficacy. Process quality control of its ethanol precipitation is a topical issue in the pharmaceutical field. Near infrared (NIR) spectroscopy is commonly used for process quality analysis. However, establishing a robust and reliable quantitative model of complex process remains a challenge in industrial applications of NIR. In this paper, modeling design based on quality by design concept (QbD) was implemented for the ethanol precipitation process quality control of Honeysuckle flower. According to the 56 models' performances and 25 contour plots, quadratic model was the best with R
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