[ Objective ] This study aimed to optimize the extraction process of astaxanthin from Haematococcus pluvialis with oil dissolution method. [ Method ] Small amounts of acetone or ethanol were separately added into soyb...[ Objective ] This study aimed to optimize the extraction process of astaxanthin from Haematococcus pluvialis with oil dissolution method. [ Method ] Small amounts of acetone or ethanol were separately added into soybean oil for astaxanthin extraction. The extraction efficiency of astaxanthin from H. pluvialis with different methods was compared. [ Result] The extraction efficiency of astaxanthin from H. pluvialis with acetone, acetone ＋ soybean oil, ethanol ＋ soybean oil, soybean oil was 20.46, 21.65, 20.85 mg/g and 13.05 mg/g, respectively. According to the results, acetone ＋ soybean oil led to the highest extraction rate, which was approximately twice that of soybean oil and higher than that of acetone. [ Conclusion ] This study laid the foundation for large-scale production of astaxanthin.展开更多
A multivariate optimization process of the sample extraction procedure by Box-Behnken design through a global desirability function is described for the determination of six non-dioxin-like polychlorinated biphenyls(N...A multivariate optimization process of the sample extraction procedure by Box-Behnken design through a global desirability function is described for the determination of six non-dioxin-like polychlorinated biphenyls(NDL-PCBs#28,52,101,153,138 and 180)in milk by GC-ECD and mass spectrometry.Three factors were involved in refining the extraction conditions:the acetone percentage in the extraction mixture,the sample/solvent ratio,and the extraction time.The three-factor design required 26 experiments that were carried out in duplicate and in a randomized order to minimize the bias effects of uncontrolled variables.The optimized factors(acetone percentage:30%;sample-to-solvent ratio:0.11 g mL^-1;extraction time:45 min)ensured a low solvent consumption and a reduced extraction time,allowing a rapid and simultaneous preparation of multiple sample extracts.The method was validated according to the European directives(Decision 657/2002/EC,SANTE 2017/11813/EC)through the evaluation of linearity,selectivity,LOD,LOQ,recovery,precision,and ruggedness.展开更多
Objective: As a traditional medicinal plant listed in the Chinese Pharmacopeia, Physalis alkekengi L. var. franchetii(Mast.) Makino(PAF) has a long medicinal history and high economic value. PAF has immunomodulatory p...Objective: As a traditional medicinal plant listed in the Chinese Pharmacopeia, Physalis alkekengi L. var. franchetii(Mast.) Makino(PAF) has a long medicinal history and high economic value. PAF has immunomodulatory properties and can be used to treat acute lung injury and eczema.The aim of this study is to solve the problems of extraction and purification of active components from PAF. Materials and Methods: The solvent to be used for extraction and its concentration, the solid-to-liquid ratio, and extraction duration were investigated using a single-factor experiment.An orthogonal design(L_(9)[3^(4)]) was used to determine the optimum extraction conditions. After optimization, the sample’s concentrations and flow velocity, the eluents and their velocity, adsorption time, and the removed water volume were measured. The content of the five steroids in the sample was determined by high-performance liquid chromatography(HPLC). We also investigated the anti-inflammatory property of PAF calyxes before and after purification. Results: The optimum extraction and purification processes were determined by single-factor analysis.AB-8 was identified as the best macroporous adsorption resin for enrichment. After optimization, the average total steroid content was 71.83%,and the average recovery was 90% after purification. Among the five steroid components detected by HPLC, physalin F showed the highest content. Furthermore, the sample obtained after purification could significantly inhibit paw edema by egg whites induced. Conclusions: An environmentally-sustainable, efficient, and stable process was first optimized for enriching and purifying total steroids from PAF. The process has the potential for further development and utilization in the pharmaceutical industry.展开更多
Extraction unit operation is the first step in traditional Chinese medicine(TCM)product manufacturing,and it is crucial in determining the quality of the produced medicine.However,due to a lack of effective multimodal...Extraction unit operation is the first step in traditional Chinese medicine(TCM)product manufacturing,and it is crucial in determining the quality of the produced medicine.However,due to a lack of effective multimodal monitoring and adjustment strategies,achieving high quality and efficiency remains a challenge.In this work,we proposed an artificial intelligence(AI)-based robot platform for the multi-objective optimization of the extraction process.First,a perception intelligence method for multimodal process monitoring was established to track active ingredient transfer and production changes during the extraction process.Second,a digital twin model was developed to reconstruct the field information,which interacted with real-time monitoring data.Furthermore,the model performed real-time inference to predict future production process states by using the reconstructing information.Finally,according to the predicted process states,the autonomous decision-making robot implemented multi-objective optimization,ensuring efficient process adjustments for global optimization.Experimental and industrial results demonstrated that the platform could effectively infer component transfer dynamics,monitor temperature variations,and identify boiling states,ensuring product quality while reducing energy consumption.This pharmaceutical robot could promote the integration of AI and pharmaceutical engineering,thereby accelerating the iterative development and improvement of China’s pharmaceutical industry.展开更多
基金Supported by Project of Yantai Huarong Biological Technology Co.,Ltd
文摘[ Objective ] This study aimed to optimize the extraction process of astaxanthin from Haematococcus pluvialis with oil dissolution method. [ Method ] Small amounts of acetone or ethanol were separately added into soybean oil for astaxanthin extraction. The extraction efficiency of astaxanthin from H. pluvialis with different methods was compared. [ Result] The extraction efficiency of astaxanthin from H. pluvialis with acetone, acetone ＋ soybean oil, ethanol ＋ soybean oil, soybean oil was 20.46, 21.65, 20.85 mg/g and 13.05 mg/g, respectively. According to the results, acetone ＋ soybean oil led to the highest extraction rate, which was approximately twice that of soybean oil and higher than that of acetone. [ Conclusion ] This study laid the foundation for large-scale production of astaxanthin.
文摘A multivariate optimization process of the sample extraction procedure by Box-Behnken design through a global desirability function is described for the determination of six non-dioxin-like polychlorinated biphenyls(NDL-PCBs#28,52,101,153,138 and 180)in milk by GC-ECD and mass spectrometry.Three factors were involved in refining the extraction conditions:the acetone percentage in the extraction mixture,the sample/solvent ratio,and the extraction time.The three-factor design required 26 experiments that were carried out in duplicate and in a randomized order to minimize the bias effects of uncontrolled variables.The optimized factors(acetone percentage:30%;sample-to-solvent ratio:0.11 g mL^-1;extraction time:45 min)ensured a low solvent consumption and a reduced extraction time,allowing a rapid and simultaneous preparation of multiple sample extracts.The method was validated according to the European directives(Decision 657/2002/EC,SANTE 2017/11813/EC)through the evaluation of linearity,selectivity,LOD,LOQ,recovery,precision,and ruggedness.
基金supported by the Guangzhou Science and Technology Program in 2020-Basic and Applied Basic Research Project(Grant No.202002030226)the National Natural Science Foundation of China(Grant No.82174043)the Guangdong Basic and Applied Basic Research Foundation(Grant No.2021A1515011697).
文摘Objective: As a traditional medicinal plant listed in the Chinese Pharmacopeia, Physalis alkekengi L. var. franchetii(Mast.) Makino(PAF) has a long medicinal history and high economic value. PAF has immunomodulatory properties and can be used to treat acute lung injury and eczema.The aim of this study is to solve the problems of extraction and purification of active components from PAF. Materials and Methods: The solvent to be used for extraction and its concentration, the solid-to-liquid ratio, and extraction duration were investigated using a single-factor experiment.An orthogonal design(L_(9)[3^(4)]) was used to determine the optimum extraction conditions. After optimization, the sample’s concentrations and flow velocity, the eluents and their velocity, adsorption time, and the removed water volume were measured. The content of the five steroids in the sample was determined by high-performance liquid chromatography(HPLC). We also investigated the anti-inflammatory property of PAF calyxes before and after purification. Results: The optimum extraction and purification processes were determined by single-factor analysis.AB-8 was identified as the best macroporous adsorption resin for enrichment. After optimization, the average total steroid content was 71.83%,and the average recovery was 90% after purification. Among the five steroid components detected by HPLC, physalin F showed the highest content. Furthermore, the sample obtained after purification could significantly inhibit paw edema by egg whites induced. Conclusions: An environmentally-sustainable, efficient, and stable process was first optimized for enriching and purifying total steroids from PAF. The process has the potential for further development and utilization in the pharmaceutical industry.
基金funded by the National Key Research and Development Program of China(2024YFC3506900)the Special Project for Technological Innovation in New Productive Forces of Modern Chinese Medicines(24ZXZKSY00010 and 24ZXZKSY00040)the Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine(ZYYCXTD-D-202002)。
文摘Extraction unit operation is the first step in traditional Chinese medicine(TCM)product manufacturing,and it is crucial in determining the quality of the produced medicine.However,due to a lack of effective multimodal monitoring and adjustment strategies,achieving high quality and efficiency remains a challenge.In this work,we proposed an artificial intelligence(AI)-based robot platform for the multi-objective optimization of the extraction process.First,a perception intelligence method for multimodal process monitoring was established to track active ingredient transfer and production changes during the extraction process.Second,a digital twin model was developed to reconstruct the field information,which interacted with real-time monitoring data.Furthermore,the model performed real-time inference to predict future production process states by using the reconstructing information.Finally,according to the predicted process states,the autonomous decision-making robot implemented multi-objective optimization,ensuring efficient process adjustments for global optimization.Experimental and industrial results demonstrated that the platform could effectively infer component transfer dynamics,monitor temperature variations,and identify boiling states,ensuring product quality while reducing energy consumption.This pharmaceutical robot could promote the integration of AI and pharmaceutical engineering,thereby accelerating the iterative development and improvement of China’s pharmaceutical industry.
