Polyacrylonitrile (PAN) is an important component of many synthetic products such as heavy-duty fibres, synthetic ropes, flame resistant plastics and clothing.
Polyacrylonitrile (PAN) is an important component of many synthetic products such as heavy-duty fibres, synthetic ropes, flame resistant plastics and clothing.
These fibres' physical characteristics depend on the molecular weight and molecular weight distribution of the polymer chains, making them key parameters for the manufacturer's quality control. Gel permeation chromatography (GPC) is an excellent and simple method for determining molecular weight distribution.
Figure 1: Overlay of 7 PMMA standards.
In GPC the separation is based on the interaction-free diffusion of sample molecules into the pores of the column packing material. For this analysis, a moderately polar column and a moderately polar mobile phase were chosen. The column was a poly (styrene-divinylbenzene) copolymer packed mixed bed column with an exclusion limit of 20000000 Da.
The sample and the calibration standard molecules must have the same steric properties at every single molecular weight because GPC only separates based on molecular size. Polymethylmethacrylates (PMMA) with a molecular weight range from 1890 Da up to 949000 Da were used as standards.
Figure 2: Polyacrylonitrile (PAN) sample.
In this study, approx. 1.5 mg of sample or standard substance was mixed with 1 mL mobile phase. The mixture was heated at 50 °C for 10 minutes and then carefully agitated.
The GPC separation was performed in isocratic mode on a KNAUER Smartline HPLC system with RI detector, on-line eluent degasser, autosampler and column oven.
An organic mode separation based on molecular size was demonstrated successfully over a wide molecular weight range. The sample preparation and analysis method are simple and straightforward. Moreover, this GPC application works perfectly on a standard HPLC system. The molecular weight ranges (Mw) of the PAN samples analysed were found to be within the linear calibration range.
1. Showa Denko KK, Standard Operation Procedure GPC KD-800 Series 13–17.
Wissenschaftliche Gerätebau Dr. Ing. Herbert Knauer GmbH
Hegauer Weg 38, 14163 Berlin, Germany
tel. +49 30 809727 0 fax +49 30 8015010
E-mail: info@knauer.net
Website: www.knauer.net
AI and GenAI Applications to Help Optimize Purification and Yield of Antibodies From Plasma
October 31st 2024Deriving antibodies from plasma products involves several steps, typically starting from the collection of plasma and ending with the purification of the desired antibodies. These are: plasma collection; plasma pooling; fractionation; antibody purification; concentration and formulation; quality control; and packaging and storage. This process results in a purified antibody product that can be used for therapeutic purposes, diagnostic tests, or research. Each step is critical to ensure the safety, efficacy, and quality of the final product. Applications of AI/GenAI in many of these steps can significantly help in the optimization of purification and yield of the desired antibodies. Some specific use-cases are: selecting and optimizing plasma units for optimized plasma pooling; GenAI solution for enterprise search on internal knowledge portal; analysing and optimizing production batch profitability, inventory, yields; monitoring production batch key performance indicators for outlier identification; monitoring production equipment to predict maintenance events; and reducing quality control laboratory testing turnaround time.