Castor,scientifically known as Ricinus communis L.,is among the top ten oil crops globally.It is considered a renewable resource and is commonly referred to as‘green oil’.Castor seeds contain castor oil as their mai...Castor,scientifically known as Ricinus communis L.,is among the top ten oil crops globally.It is considered a renewable resource and is commonly referred to as‘green oil’.Castor seeds contain castor oil as their main component,which is predominantly composed of ricinoleic acid.This study utilized RNAi technology to silence the NPC6 gene in NO.2129 castor,resulting in the creation of mutant plants L1 and L2.The weight of 100 dry seed kernels from L1 and L2 exceeds that from NO.2129.The crude fat and ricinoleic acid levels of L1 and L2 were higher than those of NO.2129 at various developmental stages.In the proteomics analysis of 60-day-old castor seeds,a total of 21 differentially expressed proteins were identified,out of which 19 were successfully recognized.Eleven of the differentially expressed proteins identified were legumins,which play a crucial role in nutrient storage within the seed.Silencing the NPC6 gene results in the accumulation of ricinoleic acid in castor seeds.The findings of this study not only enhance our knowledge of NPC6’s role in regulating castor seed oil synthesis but also offer fresh perspectives for investigating oil synthesis and accumulation in other plant species.展开更多
乙烯工业不同的裂解装置间存在着设备、技术上的差别,每一种原料在乙烯工厂不同炉型或工艺的裂解装置的乙烯产品收率、能耗也存在着差别。随着新的乙烯工厂的投产,需要同时运行台数众多的差异化裂解装置,从而为通过优化调度乙烯裂解原...乙烯工业不同的裂解装置间存在着设备、技术上的差别,每一种原料在乙烯工厂不同炉型或工艺的裂解装置的乙烯产品收率、能耗也存在着差别。随着新的乙烯工厂的投产,需要同时运行台数众多的差异化裂解装置,从而为通过优化调度乙烯裂解原料实现提高物效、降低能耗提供了空间。对于此类工厂间原料调度及能耗优化问题提出了一种基于P-graph的建模和优化方法 (scheduling generation based on P-graph, SGBP算法),该算法通过P-graph本身提取过程结构信息的能力,在加速求解的同时,保留了次优解集。之后以两个实际的乙烯厂为研究实例,采用提出的SGBP方法实现了原料调度的建模和优化,该方法与MINLP优化算法的对比分析验证了提出方法的优势:(1)可以同时提供较为丰富的最优解与次优解方案;(2)提出方法的最优结果与MINLP的优化效果相当;(3)优化后的整体能耗下降明显,为生产计划人员选择可采用灵活的原料调配方案提供了多种可选择的运行方案。展开更多
基金supported by the following agencies:Natural Science Foundation of Jilin Province (YDZJ202201ZYTS453)Scientific Research Project of the Jilin Provincial Department of Education (JJKH20220010KJ)+6 种基金supported by Program for Innovative Research Team of Baicheng Normal University,National Natural Science Foundation of China (31860071)Inner Mongolia Autonomous Region Natural Science Foundation Project (2021MS03008)Inner Mongolia Autonomous Region Grassland Talent Innovation Team (2022)2022 Basic Scientific Research Business Cost Project of Universities Directly under the Autonomous Region (237)Open Fund Project of Inner Mongolia Castor Industry Collaborative Innovation Center (MDK2021011,MDK2022014,MDK2022008,MDK2021008,MDK2022009)Fundamental Research Funds for Universities Directly under the Autonomous Region in 2023 of Inner Mongolia University for Nationalities (225,227,243,244)New Agricultural Science Research and Reform Practice Project of the Ministry of Education (2020114)。
文摘Castor,scientifically known as Ricinus communis L.,is among the top ten oil crops globally.It is considered a renewable resource and is commonly referred to as‘green oil’.Castor seeds contain castor oil as their main component,which is predominantly composed of ricinoleic acid.This study utilized RNAi technology to silence the NPC6 gene in NO.2129 castor,resulting in the creation of mutant plants L1 and L2.The weight of 100 dry seed kernels from L1 and L2 exceeds that from NO.2129.The crude fat and ricinoleic acid levels of L1 and L2 were higher than those of NO.2129 at various developmental stages.In the proteomics analysis of 60-day-old castor seeds,a total of 21 differentially expressed proteins were identified,out of which 19 were successfully recognized.Eleven of the differentially expressed proteins identified were legumins,which play a crucial role in nutrient storage within the seed.Silencing the NPC6 gene results in the accumulation of ricinoleic acid in castor seeds.The findings of this study not only enhance our knowledge of NPC6’s role in regulating castor seed oil synthesis but also offer fresh perspectives for investigating oil synthesis and accumulation in other plant species.
文摘乙烯工业不同的裂解装置间存在着设备、技术上的差别,每一种原料在乙烯工厂不同炉型或工艺的裂解装置的乙烯产品收率、能耗也存在着差别。随着新的乙烯工厂的投产,需要同时运行台数众多的差异化裂解装置,从而为通过优化调度乙烯裂解原料实现提高物效、降低能耗提供了空间。对于此类工厂间原料调度及能耗优化问题提出了一种基于P-graph的建模和优化方法 (scheduling generation based on P-graph, SGBP算法),该算法通过P-graph本身提取过程结构信息的能力,在加速求解的同时,保留了次优解集。之后以两个实际的乙烯厂为研究实例,采用提出的SGBP方法实现了原料调度的建模和优化,该方法与MINLP优化算法的对比分析验证了提出方法的优势:(1)可以同时提供较为丰富的最优解与次优解方案;(2)提出方法的最优结果与MINLP的优化效果相当;(3)优化后的整体能耗下降明显,为生产计划人员选择可采用灵活的原料调配方案提供了多种可选择的运行方案。
