摘要：【中文】本发明提供一种抗CEA抗体，所述抗CEA抗体包括重链可变区和轻链可变区，重链可变区的互补决定区包括氨基酸序列如SEQ ID No.1所示的CDR‑H1、氨基酸序列如SEQ ID No.2所示的CDR‑H2和氨基酸序列如SEQ ID No.3所示的CDR‑H3，轻链可变区的互补决定区包括氨基酸序列如SEQ ID No.4所示的CDR‑L1、氨基酸序列如SEQ ID No.5所示的CDR‑L2和氨基酸序列如SEQ ID No.6所示的CDR‑L3。本发明发明人利用噬菌体展示技术对CEA scFv进行了筛选，从而获得了高亲和力的抗CEA的单链抗体。并将抗CEA的嵌合抗原受体基因通过基因工程方法导入T细胞制备CEA CAR‑T，使得CEA CAR‑T细胞特异性识别表达CEA的消化道肿瘤细胞并将其杀死，从而实现其抗肿瘤作用。 【EN】The invention provides an anti-CEA antibody, which comprises a heavy chain variable region and a light chain variable region, wherein the complementarity determining region of the heavy chain variable region comprises CDR-H1 with an amino acid sequence shown as SEQ ID No.1, CDR-H2 with an amino acid sequence shown as SEQ ID No.2 and CDR-H3 with an amino acid sequence shown as SEQ ID No.3, and the complementarity determining region of the light chain variable region comprises CDR-L1 with an amino acid sequence shown as SEQ ID No.4, CDR-L2 with an amino acid sequence shown as SEQ ID No.5 and CDR-L3 with an amino acid sequence shown as SEQ ID No. 6. The inventor utilizes phage display technology to screen CEA scFv, thereby obtaining the high-affinity anti-CEA single-chain antibody. And the CEA-resistant chimeric antigen receptor gene is introduced into T cells by a genetic engineering method to prepare CEA CAR-T, so that the CEA CAR-T cells specifically recognize and kill the CEA-expressing digestive tract tumor cells, thereby realizing the anti-tumor effect of the CEA CAR-T cells.

摘要：【中文】本发明涉及一种细胞培养罐的搅拌器、细胞培养罐以及细胞培养方法。其中所述搅拌器包括：中轴；以及以所述中轴的轴线呈旋转对称并连接所述中轴的至少两片叶片，每片所述叶片包括叶片本体，所述叶片本体呈螺旋状延展，所述叶片本体的轴向长度占所述中轴的长度的20％至35％，叶片本体的旋转角度为15°至50°，最大径向长度为20mm到54mm，从底部到顶部的径向长度逐渐变小。以上搅拌器、细胞培养罐以及细胞培养方法至少具有搅拌剪切力小、细胞产率高等优点。 【EN】The present invention relates to a cell culture tank agitator, a cell culture tank, and a cell culture method. Wherein the agitator comprises: a middle shaft; and at least two blades which are rotationally symmetrical about the axis of the central shaft and are connected with the central shaft, each blade comprises a blade body, the blade bodies extend spirally, the axial length of each blade body accounts for 20-35% of the length of the central shaft, the rotation angle of each blade body is 15-50 degrees, the maximum radial length is 20-54 mm, and the radial length from the bottom to the top is gradually reduced. The stirrer, the cell culture tank and the cell culture method have the advantages of small stirring shearing force, high cell yield and the like.

摘要：【中文】本发明涉及配煤掺烧技术领域，公开了一种配煤掺烧优化方法、装置以及计算机存储介质，其中方法包括以下步骤：收集不同类型煤种的挥发分以及含硫量，建立配煤数据库；根据含硫量由高到低的顺序，将不同类型的库存煤分为与燃烧器层数一一对应的几个子集，含硫量高的库存煤对应高层的燃烧器，含硫量低的库存煤对应低层的燃烧器；根据各所述子集包含的库存煤，建立相应燃烧器的配煤挥发分函数；以所述配煤挥发分函数为目标函数，以库存煤的库存量为约束条件，计算相应燃烧器的最优配煤掺烧方案。本发明提供的配煤掺烧方法具有结焦少的技术效果。 【EN】The invention relates to the technical field of blending coal and co-combustion, and discloses a blending coal and co-combustion optimization method, a device and a computer storage medium, wherein the method comprises the following steps: collecting volatile components and sulfur content of different types of coal, and establishing a coal blending database; according to the sequence of sulfur content from high to low, different types of stock coal are divided into a plurality of subsets which are in one-to-one correspondence with the number of layers of the burners, stock coal with high sulfur content corresponds to a burner on a high layer, and stock coal with low sulfur content corresponds to a burner on a low layer; establishing a coal blending volatile function of a corresponding burner according to the stock coal contained in each subset; and calculating the optimal coal blending combustion scheme of the corresponding combustor by taking the coal blending volatile function as a target function and the stock of the stored coal as a constraint condition. The coal blending combustion method provided by the invention has the technical effect of less coking.

摘要：【中文】本发明公开一种应用紫外可见漫反射光谱鉴别珍珠表层的化学组成及结构形貌一致性的方法,通过对珍珠表面不同位置处进行紫外可见漫反射光谱的检测采集，并基于谱图的一致性即相似度进而判断珍珠外层组织结构单元即珍珠层化学组成、内部结构及外表面结构形貌一致性。本发明所述的鉴别方法准确、无损、快速，可为珍珠的改色处理、质量等级定性提供便捷、适用的评判性依据与指导。 【EN】The invention discloses a method for identifying chemical composition and structural morphology consistency of a pearl surface layer by using ultraviolet-visible diffuse reflection spectrum. The identification method is accurate, lossless and rapid, and can provide convenient and applicable judgment basis and guidance for color changing treatment and quality grade qualification of the pearls.

摘要：【中文】本发明提供一种采用全封闭细胞培养系统进行全封闭细胞培养方法，采用如下步骤：1）进液过程；2）搭建培养环境：预设氧气和二氧化碳的浓度值，向培养箱内分别注入氧气和二氧化碳，实时测定培养箱中氧气和二氧化碳的气体浓度值，分别与设定值比较，当培养箱内的氧气和二氧化碳值都达标后，将培养箱内的气体注入到培养罐中；设置培养箱温度，并对培养箱预热；3）持续培养；4）置换和浓缩；5）成品回收。目前国内还未见专门用于CAR‑T细胞培养的自动化设备，本设备培养与人工实验室培养相比，可大大节省人力成本，显著提高培养效率。 【EN】The invention provides a totally-enclosed cell culture method by adopting a totally-enclosed cell culture system, which comprises the following steps: 1) a liquid inlet process; 2) building a culture environment: presetting concentration values of oxygen and carbon dioxide, respectively injecting the oxygen and the carbon dioxide into the incubator, measuring gas concentration values of the oxygen and the carbon dioxide in the incubator in real time, respectively comparing the gas concentration values with the set values, and injecting the gas in the incubator into the incubator when the oxygen and the carbon dioxide in the incubator reach the standard; setting the temperature of the incubator, and preheating the incubator; 3) continuously culturing; 4) replacement and concentration; 5) and (5) recovering a finished product. At present, no automatic equipment specially used for CAR-T cell culture is seen at home, and compared with artificial laboratory culture, the equipment culture can greatly save labor cost and obviously improve culture efficiency.

摘要：【中文】本发明公开了一种预测烟草果糖含量的全基因组选择模型及其应用，所述的用于预测烟草果糖含量的全基因组选择模型为Bayes C_FRC，为使该模型对烟草中果糖含量表型值的预测精度达到最优，对候选预测模型Bayes C中的分子标记数量（n1）、训练群体规模（n2）、训练群体与测试群体比例（n3）及模型预测精度值（n4）等核心参数值进行了明确规定。所述的应用为利用所述的全基因组选择模型Bayes C_FRC分析烟草群体的基因型数据来预测其果糖含量的应用。本发明所述的烟草果糖含量全基因组选择模型Bayes C_FRC可以依据烟草群体的基因型来精确的预测出该群体中各烟株的果糖含量值，从而实现烟草品质育种中不同果糖含量水平优良品种（系）的培育。 【EN】The invention discloses a whole genome selection model for predicting the fructose content of tobacco and application thereof, wherein the whole genome selection model for predicting the fructose content of tobacco is Bayes C_FRCIn order to optimize the prediction accuracy of the model on the phenotype value of the fructose content in tobacco, core parameter values such as the number of molecular markers (n 1), the scale of a training population (n 2), the ratio of the training population to a test population (n 3), the model prediction accuracy value (n 4) and the like in a candidate prediction model Bayes C are clearly specified. The application is to use the whole genome to select a model Bayes C_FRCUse of genotypic data from a population of tobacco to predict its fructose content. The invention discloses a tobacco fructose content whole genome selection model Bayes C_FRCThe fructose content value of each tobacco plant in the tobacco population can be accurately predicted according to the genotype of the tobacco population, so that different fructose values in tobacco quality breeding are realizedCultivating the excellent variety (line) with the content level.

摘要：【中文】本发明公开了一种预测烟草淀粉含量的全基因组选择模型及其应用，所述的用于预测烟草淀粉含量的全基因组选择模型为rrBLUP_st，为使该模型对烟草中淀粉含量表型值的预测精度达到最优，对经过初步筛选而获得的候选预测模型rrBLUP中的分子标记数量（n1）、训练群体规模（n2）、训练群体与测试群体比例（n3）及模型预测精度值（n4）等核心参数值进行了明确规定。所述的应用为利用所述的全基因组选择模型rrBLUP_st分析烟草群体的基因型数据来预测其淀粉含量的应用。本发明所述的烟草淀粉含量全基因组选择模型rrBLUP_st可以依据烟草群体的基因型来精确预测出该群体中各烟株的淀粉含量值，从而实现烟草品质育种中不同淀粉含量优良烟草品种（系）的培育。 【EN】The invention discloses a whole genome selection model for predicting the content of starch in tobacco and application thereof, wherein the whole genome selection model for predicting the content of starch in tobacco is rrBLUP _ st, and in order to ensure that the model can achieve the optimal prediction precision on the phenotypic value of the content of starch in tobacco, core parameter values such as the number of molecular markers (n 1), the scale of a training population (n 2), the proportion of the training population to a testing population (n 3) and the model prediction precision value (n 4) in a candidate prediction model rrBLUP obtained through preliminary screening are definitely specified. The application is the application of utilizing the whole genome selection model rrBLUP _ st to analyze the genotype data of a tobacco population to predict the starch content of the tobacco population. The tobacco starch content whole genome selection model rrBLUP _ st can accurately predict the starch content value of each tobacco plant in a tobacco population according to the genotype of the population, thereby realizing the cultivation of tobacco varieties (lines) with excellent starch content in tobacco quality breeding.

摘要：【中文】本发明涉及一种碳载双金属氮化物电催化剂的制备及其应用。具体的说是将钴盐、锌盐以及碳载体溶于乙醇溶剂中，将三者超声分散均匀，制得混合溶液；恒温搅拌一段时间后升温，蒸干溶剂；然后将制得的产物放入管式炉中，通入氨气，高温氮化，制得碳载双金属氮化物材料。采用该制备方法得到的电催化剂材料在燃料电池和电解池方面具有巨大的应用前景。 【EN】The invention relates to a preparation method and application of a carbon-supported bimetallic nitride electrocatalyst. Dissolving cobalt salt, zinc salt and a carbon carrier in an ethanol solvent, and performing ultrasonic dispersion on the cobalt salt, the zinc salt and the carbon carrier uniformly to prepare a mixed solution; stirring at constant temperature for a period of time, heating, and evaporating the solvent; and then putting the prepared product into a tubular furnace, introducing ammonia gas, and nitriding at high temperature to prepare the carbon-supported bimetallic nitride material. The electrocatalyst material prepared by the preparation method has huge application prospects in the aspects of fuel cells and electrolytic cells.

摘要：【中文】本发明公开了一种预测烟草尼古丁含量的全基因组选择模型及其应用，所述的用于预测烟草尼古丁含量的全基因组选择模型为Bayes B_NIC，为使该模型对烟草中尼古丁含量表型值的预测精度达到最优，对候选预测模型Bayes B的分子标记数量（n1）、训练群体规模（n2）、训练群体与测试群体比例（n3）及模型预测精度值（n4）等核心参数值进行了明确规定。所述的应用为利用所述的全基因组选择模型Bayes B_NIC分析烟草群体的基因型数据来预测其尼古丁含量的应用。本发明所述的烟草尼古丁含量全基因组选择模型Bayes B_NIC可以依据烟草群体的基因型来精确的预测出该群体中各植株的尼古丁含量值，从而实现烟草品质育种中不同尼古丁含量水平的优良烟草品种（系）培育。 【EN】The invention discloses a whole genome selection model for predicting nicotine content in tobacco and application thereof, wherein the whole genome selection model for predicting nicotine content in tobacco is Bayes B_NICIn order to optimize the prediction accuracy of the model on the nicotine content phenotype value in the tobacco, core parameter values of a candidate prediction model Bayes B, such as the number of molecular markers (n 1), the scale of a training population (n 2), the ratio of the training population to a test population (n 3), the model prediction accuracy value (n 4), and the like, are clearly specified. The application is to use the whole genome to select a model Bayes B_NICUse of genotypic data from a population of tobacco to predict its nicotine content. The invention discloses a tobacco nicotine content whole genome selection model Bayes B_NICCan be based on tobacco populationThe nicotine content value of each plant in the group is accurately predicted according to the genotype, so that excellent tobacco varieties (lines) with different nicotine content levels in tobacco quality breeding are cultured.

摘要：【中文】本发明提供了一种微量非贵金属修饰的铂基催化剂及其制备方法，该催化剂可用作低温燃料电池催化剂。制备方法是以高粘度醇如乙二醇、聚乙二醇、丙三醇等为溶剂和稳定剂，水合肼、四丁基硼氢化物、柠檬酸、抗坏血酸等强还原剂还原铂和非贵金属前驱体，并结合酸刻蚀处理得到含有微量非贵金属和铂壳结构的担载型超细铂基合金纳米粒子。本发明采用的制备方法简单有效，有望实现批量化生产。此外，基于所得催化剂的独特结构特征，包括超小的催化剂粒径和均匀的粒径分布、微量稳定化的非贵金属修饰及数层Pt壳结构，其对燃料电池阴极氧还原反应具有优异的催化活性和循环稳定性，能有效降低铂的用量，在低温燃料电池中具有潜在的应用前景。 【EN】The invention provides a trace non-noble metal modified platinum-based catalyst and a preparation method thereof. The preparation method takes high-viscosity alcohol such as ethylene glycol, polyethylene glycol, glycerol and the like as a solvent and a stabilizer, reduces platinum and non-noble metal precursors by using hydrazine hydrate, tetrabutyl borohydride, citric acid, ascorbic acid and other strong reducing agents, and combines acid etching treatment to obtain the supported superfine platinum-based alloy nanoparticles containing trace non-noble metals and a platinum shell structure. The preparation method adopted by the invention is simple and effective, and is expected to realize batch production. In addition, based on the unique structural characteristics of the obtained catalyst, including the ultra-small catalyst particle size, uniform particle size distribution, micro-stabilized non-noble metal modification and a multi-layer Pt shell structure, the catalyst has excellent catalytic activity and cycle stability for the cathode oxygen reduction reaction of the fuel cell, can effectively reduce the consumption of platinum, and has potential application prospects in low-temperature fuel cells.