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Unit Operation Optimization for the Manufacturing of Botanical Injections Using a Design Space Approach: A Case Study of Water Precipitation

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  • Xingchu Gong
  • Huali Chen
  • Teng Chen
  • Haibin Qu

Abstract

Quality by design (QbD) concept is a paradigm for the improvement of botanical injection quality control. In this work, water precipitation process for the manufacturing of Xueshuantong injection, a botanical injection made from Notoginseng Radix et Rhizoma, was optimized using a design space approach as a sample. Saponin recovery and total saponin purity (TSP) in supernatant were identified as the critical quality attributes (CQAs) of water precipitation using a risk assessment for all the processes of Xueshuantong injection. An Ishikawa diagram and experiments of fractional factorial design were applied to determine critical process parameters (CPPs). Dry matter content of concentrated extract (DMCC), amount of water added (AWA), and stirring speed (SS) were identified as CPPs. Box-Behnken designed experiments were carried out to develop models between CPPs and process CQAs. Determination coefficients were higher than 0.86 for all the models. High TSP in supernatant can be obtained when DMCC is low and SS is high. Saponin recoveries decreased as DMCC increased. Incomplete collection of supernatant was the main reason for the loss of saponins. Design space was calculated using a Monte-Carlo simulation method with acceptable probability of 0.90. Recommended normal operation region are located in DMCC of 0.38–0.41 g/g, AWA of 3.7–4.9 g/g, and SS of 280–350 rpm, with a probability more than 0.919 to attain CQA criteria. Verification experiment results showed that operating DMCC, SS, and AWA within design space can attain CQA criteria with high probability.

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  • Xingchu Gong & Huali Chen & Teng Chen & Haibin Qu, 2014. "Unit Operation Optimization for the Manufacturing of Botanical Injections Using a Design Space Approach: A Case Study of Water Precipitation," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-14, August.
  • Handle: RePEc:plo:pone00:0104493
    DOI: 10.1371/journal.pone.0104493
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    Cited by:

    1. Xingchu Gong & Ying Zhang & Jianyang Pan & Haibin Qu, 2014. "Optimization of the Ethanol Recycling Reflux Extraction Process for Saponins Using a Design Space Approach," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-20, December.

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