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Acellular nerve xenografts based on supercritical extraction technology for repairing long-distance sciatic nerve defects in rats

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Bioactive Materials 2022年第12期7卷 300-320页

作者： Shuai Wei Qian Hu Jianxiong Ma Xiu Dai Yu Sun Gonghai Han Haoye Meng Wenjing Xu Lei Zhang Xinlong Ma Jiang Peng Yu Wang Tianjin Hospital Tianjin UniversityNo.406 Jiefang South RoadHexi DistrictTianjin300211China Institute of Orthopedics The First Medical CenterChinese PLA General HospitalBeijing Key Lab of Regenerative Medicine in OrthopedicsKey Laboratory of Musculoskeletal Trauma and War Injuries PLANo.28 Fuxing RoadHaidian DistrictBeijing 100853China Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education Neural Regeneration Co-Innovation Center of Jiangsu ProvinceNantong UniversityNo.19 Qixiu RoadChongchuan DistrictNantong226001China Department of Geriatrics The Second People’s Hospital of NantongAffiliated Rehabilitation Hospital of Nantong UniversityNo.298 Xinhua RoadChongchuan DistrictNantong226006China Institute of Orthopedics Tianjin Hospital Tianjin UniversityTianjin Key Laboratory of Orthopedic Biomechanics and Medical EngineeringNo.155 Munan RoadHeping DistrictTianjin300050China The First People’s Hospital of Yunnan Province No.157 Jinbi RoadXishan DistrictKunming650034China Academy of Medical Engineering and Translational Medicine Tianjin UniversityNo.92 Weijin RoadNankai DistrictTianjin300072China

Compared to conventional artificial nerve guide conduits (NGCs) prepared using natural polymers or synthetic polymers, acellular nerve grafts (ACNGs) derived from natural nerves with eliminated immune components have natural bionic advantages in composition and structure that polymer materials do not have. To further optimize the repair effect of ACNGs, in this study, we used a composite technology based on supercritical carbon dioxide (scCO_(2)) extraction to process the peripheral nerve of a large mammal, the Yorkshire pig, and obtained an innovative Acellular nerve xenografts (ANXs, namely, CD + scCO_(2) NG). After scCO_(2) extraction, the fat and DNA content in CD + scCO_(2) NG has been removed to the greatest extent, which can better supported cell adhesion and proliferation, inducing an extremely weak inflammatory response. Interestingly, the protein in the CD + scCO_(2) NG was primarily involved in signaling pathways related to axon guidance. Moreover, compared with the pure chemical decellularized nerve graft (CD NG), the DRG axons grew naturally on the CD + scCO_(2) NG membrane and extended long distances. In vivo studies further revealed that the regenerated nerve axons had basically crossed the CD + scCO_(2) NG 3 weeks after surgery. 12 weeks after surgery, CD + scCO_(2) NG was similar to autologous nerves in improving the quality of nerve regeneration, target muscle morphology and motor function recovery and was significantly better than hollow NGCs and CD NG. Therefore, we believe that the fully decellularized and fat-free porcine ACNGs may be the most promising “bridge” for repairing human nerve defects at this stage and for some time to come.

关键词： Peripheral nerve regeneration Acellular nerve xenograft supercritical extraction Peripheral nerve injury Nerve defect

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Predicting the yield of pomegranate oil from supercritical extraction using artificial neural networks and an adaptive-network-based fuzzy inference system

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Frontiers of Chemical Science and Engineering 2013年第3期7卷 357-365页

作者： J. Sargolzaei A. Hedayati Moghaddam Department of chemical engineering Ferdowsi university of Mashhad Mashhad *** Iran

Various simulation tools were used to develop an effective intelligent system to predict the effects of temperature and pressure on an oil extraction yield. Pomegranate oil was extracted using a supercritical CO2 （SC-CO2） process. Several simulation systems including a back-propagation neural network （BPNN）, a radial basis function neural network （RBFNN） and an adaptive- network-based fuzzy inference system （ANFIS） were tested and their results were compared to determine the best predictive model. The performance of these networks was evaluated using the coefficient of determination （R^2） and the mean square error （MSE）. The best correlation between the predicted and the experimental data was achieved using the BPNN method with an R^2 of 0.9948.

关键词： oil recovery artificial intelligence extraction neural networks supercritical extraction

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Optimization of supercritical extraction Process of Laoshan Black Tea by Response Surface Methodology

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Agricultural Biotechnology 2023年第1期12卷 98-101页

作者： Yongxin LIU Zhiguang LIU Zengyu WANG Shuai ZHANG Guofeng YU Jianhong SUN Shoutao CAO Qiulin LIU Xulun WEI Cuishu LENG Fuhua MA Xuegang LI Yinlong WANG Shoujie NIE Technology Center China Tobacco Shandong Industrial Co.Ltd.Qingdao 266101China Etsong Yizhong(Qingdao)Industrial Co. Ltd.Qingdao 266021China

[Objectives]Laoshan black tea was subjected to supercritical CO_(2) extraction. [Methods]The extraction conditions of Laoshan black tea were studied by an orthogonal experiment and optimized by response surface methodology. [Results] The optimum extraction conditions of black tea extract by supercritical CO_(2) extraction were as follows: extraction pressure 23.53 MPa, extraction time 1.73 h, and extraction temperature 49.75 ℃, with which the extract yield could reach 5.15% theoretically. [Conclusions] Based on the traditional extraction process, a supercritical extraction method optimized by response surface methodology and a unique extraction process were formed, which enriches the extraction processes and methods of natural raw materials.

关键词： Laoshan black tea supercritical extraction Response surface method

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Rheology study of supercritically extracted tea-oil

Rheology study of supercritically extracted tea-oil

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The 9th National Conference on Rheology

作者：张党权陈胜铭彭万喜刘其梅谷振军樊绍刚邓顺阳 Key Lab of Non-wood Forest Products of State Forestry Administration Central South University of Forestry and Technology

＜正＞The rheological analysis on dynamic shear rate-viscosity relationship of tea-oil extracted from tea-oil tree seeds by supercritical extraction method was carried out at gradient temperatures and constant shear rate,respectively.The results show that at 20,40,60 and 80℃,once the shear rate increases gradually,the torque enlarges correspondingly,while the viscosity shows little difference.However,at the constant shear rate,the rising temperature results in a steady downtrend on tea-oil viscosity.This results reveal that tea-oil viscosity is not closely correlated with shear rate at constant temperature,yet negatively correlated with temperature at constant shear rate.

关键词： tea-oil rheology dynamic shear rate viscosity supercritical extraction

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