水痘疫苗新型疫苗冻干保护剂的研究

目的:开发出新型号水痘疫苗保护剂替代现行含明胶、人血白蛋白疫苗保护剂,提高病毒保护效果及疫苗受种人群使用安全性。方法:(1)选取右旋糖酐、乳糖、甘露醇等辅料按不同配方进行制备疫苗保护剂。(2)使用不同配方制备的疫苗保护剂,应用细胞工厂水痘疫苗制备工艺进行生产水痘疫苗。(3)使用不同配方制备的疫苗保护剂生产的水痘疫苗与现行疫苗保护剂生产的水痘疫苗进行对比。结果:对比试验结果显示,使用右旋糖酐、乳糖、甘露醇等制备的疫苗保护剂,与现行疫苗保护剂比较无差异。结论:使用右旋糖酐、乳糖、甘露醇等制备的疫苗保护剂比较现行使用的疫苗保护剂,由于不含明胶及人血白蛋白,因此使该疫苗冻干保护剂的安全性、可靠性有所提高,并且疫苗冻干保护剂的成本将有所下降。     

病毒活疫苗冻干保护剂筛选研究

为提高冻干病毒性活疫苗的成品滴度和稳定性及提高疫苗生产的出品率,本研究通过对多种保护剂成分如明胶、山梨醇、蔗糖、乳糖、右旋糖苷、精氨酸等及其配比的大量反复筛选试验,已初步选定了数种可供选择并进一步优化完善的冻干保护剂配方。与现行冻干保护剂相比,其疫苗出品率在相同投入下可提高三倍。     

冻干腮腺炎活疫苗细胞培养生产工艺研究

报告了冻干腮腺炎活疫苗细胞培养生产工艺研究结果,通过对鸡胚疫苗株的适应培养及对细胞培养生产工艺的试验优化,建立了连续细胞培养多次收获疫苗生产工艺并制备出了冻干细胞培养腮腺炎活疫苗制剂。本生产工艺切实可行,生产成本低、投入产出率高,所用原材料规范、质量易于控制,具有明显的技术优势。生产的冻干疫苗制剂质量稳定可靠,符合中国生物制品规程要求,有利于预防腮腺炎的规模化推广使用     

水痘疫苗冻干保护剂的改进

明胶是水痘减毒活疫苗中常用的冻干赋形剂组分,是源于动物组织的大分子蛋白质。由于明胶可能引起疫苗接种后的不良反应,且与某些民族的宗教信仰相冲突,近年来WHO建议减少和避免明胶在病毒疫苗中的使用[1]。我国目前在疫苗冻干保护剂方面的研究与国外还有相当大的差距,明胶作为病毒性疫苗的冻干保护剂组分仍然广泛使用,但目前国内还没有相应的药用辅料标准,因此必须尽快建立相应的质量标准;同时还应对疫苗中明胶含量、分布情况、以及对病毒的稳定性研究和替代物等方面进行全面的研究,以便将来在疫苗生产中取消明胶的添加。本文主要对常规使用的冻干保护剂1和不含明胶的冻干保护剂2进行对比,以便筛选出更适合的水痘疫苗保护剂。     

冻干风疹活疫苗生产工艺研究

文报告了冻干风疹减毒活疫苗生产工艺及疫苗研制结果。在对日本化学血清疗法研究所疫苗生产株—松叶株全面检定的基础上,通过对原代兔肾细胞培养条件及病毒培养条件的试验优化,建立了疫苗生产工艺并制备出了冻干风疹活疫苗制剂,稳定性试验表明其安全有效、质量稳定可靠,而且其生产工艺切实可行、投入产出率高。     

应用生物反应器建立人用冻干狂犬病疫苗(Vero细胞)生产工艺的研究

应用15L生物反应器,采用片状载体对Vero细胞进行高密度培养、制备高毒力滴度的狂犬病毒收获液,经纯化后生产人用冻干狂犬病疫苗。采用15L生物反应器对培养方法(批次培养和连续灌流培养)进行试验,收获高毒力滴度的狂犬病毒收获液并制备人用冻干狂犬病疫苗。结果表明:Vero细胞在接种狂犬病毒后可以连续收获病毒液达到25d以上,冻干狂犬病疫苗的效价可以达到5.54IU/剂。本工艺可以用于进行大规模的人用冻干狂犬疫苗的生产。     

冷冻干燥对重组酵母乙型肝炎疫苗效力(抗原性)的影响

重组酵母乙型肝炎疫苗(酵母乙肝疫苗)加入保护剂后冷冻干燥,观察是否影响疫苗抗原性和稳定性。按5％和1％的比例,在酵母乙肝疫苗原液中分别加入蔗糖和明胶,低温冷冻干燥,制备3批冻干疫苗,分别进行体外相对效力和小鼠ED50测定。加保护剂冻干后酵母乙肝疫苗体外相对效力和小鼠ED50值较冻干前改变不大,而4℃放置和热加速后的稳定性均优于液体疫苗。因此现有酵母乙肝疫苗加入保护剂冻干后,显著提高了疫苗的稳定性,为进一步制备稳定的疫苗参考品打下了初步基础。     

活菌制剂冻干保护剂的研究进展

冷冻干燥技术广泛应用于细菌性活疫苗生产和菌种保藏等方面。细菌细胞在冷冻干燥过程中会出现损伤,甚至死亡。通过添加适合的冻干保护剂可以最大程度减小细胞损伤,保持活菌制剂的活力和性能。就冻干过程对细菌的损伤机制、冻干保护剂的作用机理以及保护剂的筛选方法等方面进行了阐述,对活菌制剂保护剂的筛选有所启示。     

抗人肝癌单抗片段抗体HAb18F(ab′)2的冻干工艺研究

选择适合于HAb18 F(ab′)2片段抗体的冻干保护剂及其冻干工艺,是确保该生物制品的质量关键之一,对不同种类和不同浓度的保护剂进行了研究,结果表明10%蔗糖对HAb18 F(ab′)2片段抗体冻干样品的剂型、外观、残水量(＜3%)、复溶时间(＜10 s)、纯度(＞95%)及稳定性没有影响.研究优化与保护剂相结合的适用于HAb18 F(ab′)2片段抗体的最佳冻干工艺,为抗体片段扩大生产提供依据.     

抗人肝癌单抗片段抗体HAb18F（ab）2的冻干工艺研究

选择适合于HAb18 F(ab′)2片段抗体的冻干保护剂及其冻干工艺,是确保该生物制品的质量关键之一,对不同种类和不同浓度的保护剂进行了研究,结果表明10%蔗糖对HAb18 F(ab′)2片段抗体冻干样品的剂型、外观、残水量(＜3%)、复溶时间(＜10 s)、纯度(＞95%)及稳定性没有影响.研究优化与保护剂相结合的适用于HAb18 F(ab′)2片段抗体的最佳冻干工艺,为抗体片段扩大生产提供依据.     

Development of an automation system for a tablet coater

An instrumentation and automation system for a side-vented pan coater with a novel air-flow rate measurement system for monitoring the film-coating process of tablets was designed and tested. The instrumented coating system was tested and validated by film-coating over 20 pilot-scale batches of tablets with aqueous-based hydroxypropyl methylcellulose (HPMC). Thirteen different process parameters were continuously measured and monitored, and the most significant ones were logged for analysis. Laser profilometry was used to measure the surface roughness of the coated tablets. The instrumentation system provided comprehensive and quantitative information on the process parameters monitored. The measured process parameters and the responses of the film-coated tablet batches showed that the coating process is reproducible. The inlet air-flow rate influenced the coating process and the subsequent quality of the coated tablets. Increasing the inlet flow rate accelerated the drying of the tablet surface. At high inlet flow rate, obvious film-coating defects (ie, unacceptable surface roughness of the coated tablets) were observed and the loss of coating material increased. The instrumented and automated pancoating system described, including historical data storage capability and a novel air-flow measurement system, is a useful tool for controlling and characterizing the tablet film-coating process. Monitoring of critical process parameters increases the overall coating process efficiency and predictability.     

Allocation of Process Gases Generated from Integrated Steelworks by an Improved System Expansion Method (7 pp)

Goal, Scope and Background Although a large number of life cycle inventory (LCI) analyses for steel-making processes or steel products have been conducted, the allocation of process gases generated from the steelworks has not yet been clearly solved. The most consistent settlement for avoiding the allocation problem has been generally known as a system expansion method. However, the existing subtracted operations for the process gases in that method are inconsistent to a system in which those gases are consumed at their unbalanced consumption ratio. The goal of this study is to suggest a more reasonable substitute for the process gases in the system expansion method and a modified system expansion method resettling the amount of process gases used. Methods To seek a more suitable one as a substituted operation of the process gas, a kind of by-product gas, in the system expansion method, it is necessary to analyze the composition of whole fuel consumed within a steelworks. Because the steelworks is supplied with a gap of electricity from the national grid electricity other than home power plants, we should also consider various carbon fossil fuels consumed in the external electric-power production. From this procedure, a composite fuel, which is composed of coal, heavy fuel oil and LNG, is derived as the alternative of the process gases such as BFG, COG, CFG, and LDG. In the sequential manufacturing line, IO(gas), which is the ratio of the quantity used to the quantity produced of each process gas, is increased as a functional unit proceeds to a following steel product of the next process. In the LCI system, where IO(gas) is higher than one, the IO(gas) is adjusted to nearly one. The adjustment of IO is conducted in the order of the amount of process gas used in the whole steelworks on the basis of the functional unit. Results and Discussion LCI analyses were carried out focusing on the alternative of the process gases for five steel products. As a functional unit goes down a lower stage, IO(gas) is increased due to the high consumption of those gases. We found a phenomenon that IO(gas) had a critical influence on the LCI results between no allocation and system expansion for the process gases through sensitivity analysis. To reduce this influence and adjust for the real situation of IO(gas), we applied an improved system expansion method to the process gases. That is, we partly substituted a process gas with LNG and rearranged the ratio between internal and external electricity (RIEE) as close as the values of IO(gas) to one. Conclusion As the alternative fuel for the process gases, a composite fuel was derived in the system expansion method. In addition to the composite fuel, which consisted of coal, HFO and LNG, an improved system expansion method was revised by adjusting a modified IO(gas) to nearly one, not the high value of IO(gas) for each process gas. Recommendation and Outlook This improved system expansion method can be applicable in the chemical industry as well as the steel industry, which have multi-function systems. Optimal LCI analysis may be achieved through the redistribution and optimization in the usage of process gases.     

Real-time fuzzy-knowledge-based control of Baker's yeast production

A real-time fuzzy-knowledge-based system for fault diagnosis and control of bioprocesses was constructed using the object-oriented programming environment Small-talk/V Mac. The basic system was implemented in a Macintosh Quadra 900 computer and built to function connected on line to the process computer. Fuzzy logic was employed in handling uncertainties both in the knowledge and in measurements. The fuzzy sets defined for the process variables could be changed on-line according to process dynamics. Process knowledge was implemented in a graphical two-level hierachical knowledge base. In on-line process control the system first recognizes the current process phase on the basis of top-level rules in the knowledge-base. Then, according to the results of process diagnosis based on measurement data, the appropriate control strategy is subsequently inferred making use of the lower level rules describing the process during the phase in question. (c) 1995 John Wiley & Sons, Inc.     

Studies on excitation energy flow in the photosynthetic pigment system; Structure and energy transfer mechanism

Excitation energy flow in photosynthetic pigment systems is discussed in relation to structure of the system and transfer mechanism for each elementary process. Three typical examples for actual transfer processes are shown for the phycobilin system in cyanobacteria, the antenna system of photosynthetic bacteria and the Chla/c antenna system of brown algae. The main analytical method was the time-resolved fluorescence spectroscopy in the picosecond time range. In general, static optical charactersitics are not the main reason for the transfer efficiency, but the structure of the system is a prerequisite for the transfer process. On the phycobilin system, theoretical investigation was compared with experimental analysis, which leads to the essential understanding of the transfer process in terms of quantum mechanics. Recipient of the Botanical Society Award for Young Scientists, 1989.     

The expected extinction time of a population within a system of interacting biological populations

The quasi-stationary distribution of a population within a system of interacting populations is approximated by a stochastic logistic process. The parameters of this process can be expressed in the parameters of the full system. Using the diffusion approximation, an expression for the expected extinction time is derived from this logistic process. Since the expected extinction time is expressed in the parameters of the full system, the effect of these parameters on the extinction risk can be easily evaluated, which may be of use for studies in ecology, conservation biology and epidemiology. The outcome is compared with simulation results for the case of a prey-predator system.     

Process economics evaluation of cell-free synthesis for the commercial manufacture of antibody drug conjugates

Continuous improvements of cell-free synthesis (CFS) systems have generated interest in adopting the technology for the manufacture of biologics. This paper provides an evaluation of the manufacturing cost-effectiveness of CFS for the commercial production of antibody-drug conjugates (ADCs). The evaluation was performed using an advanced techno-economic engine (TEE) built in Python. The TEE is programmed in an object-oriented environment capable of simulating a plethora of process flowsheets and predicting size and cost metrics for the process and the facility. A case study was formulated to compare the economics of whole bioprocesses based on either a CFS system or a mammalian cell system (CHO) for the manufacture of an ADC at a range of product demands. The analysis demonstrated the potential of CFS for the commercial manufacture of biologics and identified key cost drivers related to the system. The CFS system showed an approximately 80% increase in the cost of goods compared to CHO with a significant cost attributed to the in-house manufacture of the bacterial cell extract, necessary for the CFS reaction step in the process. A sensitivity and target analysis highlighted the need for further process improvements especially in the titer for the CFS process to become more competitive against well-established systems.     

Identification and estimation algorithm for stochastic neural system

An algorithm for the estimation of stochastic processes in a neural system is presented. This process is defined here as the continuous stochastic process reflecting the dynamics of the neural system which has some inputs and generates output spike trains. The algorithm proposed here is to identify the system parameters and then estimate the stochastic process called neural system process here. These procedures carried out on the basis of the output spike trains which are supposed to be the data observed in the randomly missing way by the threshold time function in the neural system. The algorithm is constructed with the well-known Kalman filters and realizes the estimation of the neural system process by cooperating with the algorithm for the parameter estimation of the threshold time function presented previously (Nakao et al., 1983). The performance of the algorithm is examined by applying it to the various spike trains simulated by some artificial models and also to the neural spike trains recorded in cat's optic tract fibers. The results in these applications are thought to prove the effectiveness of the algorithm proposed here to some extent. Such attempts, we think, will serve to improve the characterizing and modelling techniques of the stochastic neural systems.     

Identification and estimation algorithm for stochastic neural system. II

The algorithm for identifying the stochastic neural system and estimating the system process which reflects the dynamics of the neural network are presented in this papar. The analogous algorithm has been proposed in our preceding paper (Nakao et al., 1984), which was based on the randomly missed observations of a system process only. Since the previous algorithm mentioned above was subject to an unfavorable effect of consecutively missed observations, to reduce such an effect the algorithm proposed here is designed additionally to observe an intensity process in a neural spike train as the information for the estimation.The algorithm is constructed with the extended Kalman filters because it is naturally expected that a nonlinear and time variant structure is necessary for the filters to realize the observation of an intensity process by means of mapping from a system process to an intensity process. The performance of the algorithm is examined by applying it to some artificial neural systems and also to cat's visual nervous systems. The results in these applications are thought to prove the effectiveness of the algorithm proposed here and its superiority to the algorithm proposed previously.     

Preliminary Retrospective Analysis of Daily Tomotherapy Output Constancy Checks Using Statistical Process Control

The purpose of this study was to retrospectively evaluate the results from a Helical TomoTherapy Hi-Art treatment system relating to quality controls based on daily static and dynamic output checks using statistical process control methods. Individual value X-charts, exponentially weighted moving average charts, and process capability and acceptability indices were used to monitor the treatment system performance. Daily output values measured from January 2014 to January 2015 were considered. The results obtained showed that, although the process was in control, there was an out-of-control situation in the principal maintenance intervention for the treatment system. In particular, process capability indices showed a decreasing percentage of points in control which was, however, acceptable according to AAPM TG148 guidelines. Our findings underline the importance of restricting the acceptable range of daily output checks and suggest a future line of investigation for a detailed process control of daily output checks for the Helical TomoTherapy Hi-Art treatment system.