ATMP缓蚀阻垢性能

研究了以氯化铵、甲醛、三氯化磷为原料一步法合成ＡＴＭＰ的最佳条件,活笥成分达６６．６％,将ＡＴＭＰ和复配后的ＡＴＭＰ缓蚀、阻垢性能进行了比较,结果表明复配后其缓蚀、阻垢性能有显著提高。     

Assessment of Automated Flow Cytometry Data Analysis Tools within Cell and Gene Therapy Manufacturing

Flow cytometry is widely used within the manufacturing of cell and gene therapies to measure and characterise cells. Conventional manual data analysis relies heavily on operator judgement, presenting a major source of variation that can adversely impact the quality and predictive potential of therapies given to patients. Computational tools have the capacity to minimise operator variation and bias in flow cytometry data analysis; however, in many cases, confidence in these technologies has yet to be fully established mirrored by aspects of regulatory concern. Here, we employed synthetic flow cytometry datasets containing controlled population characteristics of separation, and normal/skew distributions to investigate the accuracy and reproducibility of six cell population identification tools, each of which implement different unsupervised clustering algorithms: Flock2, flowMeans, FlowSOM, PhenoGraph, SPADE3 and SWIFT (density-based, k-means, self-organising map, k-nearest neighbour, deterministic k-means, and model-based clustering, respectively). We found that outputs from software analysing the same reference synthetic dataset vary considerably and accuracy deteriorates as the cluster separation index falls below zero. Consequently, as clusters begin to merge, the flowMeans and Flock2 software platforms struggle to identify target clusters more than other platforms. Moreover, the presence of skewed cell populations resulted in poor performance from SWIFT, though FlowSOM, PhenoGraph and SPADE3 were relatively unaffected in comparison. These findings illustrate how novel flow cytometry synthetic datasets can be utilised to validate a range of automated cell identification methods, leading to enhanced confidence in the data quality of automated cell characterisations and enumerations.     

PASP和ATMP复合阻垢剂阻垢性能研究

采用静态阻垢法对聚天冬氨酸(PASP)与氨基三亚甲基膦酸(ATMP)复配物阻垢性能进行研究。考察阻垢剂添加量、温度、Ca2+浓度、HCO3-浓度、恒温时间对阻垢率的影响。结果表明,复配物的阻垢性能较单一的聚天冬氨酸有一定的提高。复配物的最佳质量配比为1∶1,PASP和ATMP总加入量为4 mg/L时效果最佳,阻垢率达86%。复配物阻垢性能受温度、时间、HCO3-浓度的影响较小,受Ca2+浓度的影响较大。对复合阻垢剂进行了经济性评价,复合阻垢剂可降低单独使用时的成本。     

ATMP对钙、镁离子阻垢作用机理的配位化学研究

采用电位滴定方法，运用先进的配位常数计算程序，通过恰当配位化学模型的建立，研究了水溶液中氨基三亚甲基膦酸(ATMP)自身的解离以及与Ca^2 、Mg^2 离子间的配位化学作用，测定了相应的解离常数和配合物稳定常数，并得到了各配合物物种在不同pH条件下的形态分布，从溶液配位化学的角度对ATMP的阻垢作用机理进行了讨论。     

水质稳定剂氨基三亚甲基膦酸的研制

研究了由甲醛、氯化铵及三氯化磷合成水质稳定剂——氨基三亚甲基膦酸(ATMP)的工艺条件。结果表明,该路线可行,原料易得,在优选条件下,收率>65％。