The Application Notebook
Polystyrene-divinylbenzene (PS-DVB) trap columns have been evaluated for microcolumn switching applications. In contrast to traditional stationary phases, which consist of packed particles, the monolithic separation medium is made of a continuous, rigid polymeric rod with a porous structure. The absence of intraparticular void volume increases separation efficiency, allowing for faster separations. Column lifetime is higher compared to packed columns.
Polystyrene-divinylbenzene (PS-DVB) trap columns have been evaluated for microcolumn switching applications. In contrast to traditional stationary phases, which consist of packed particles, the monolithic separation medium is made of a continuous, rigid polymeric rod with a porous structure. The absence of intraparticular void volume increases separation efficiency, allowing for faster separations. Column lifetime is higher compared to packed columns.
Figure 1: Direct injection (b) vs microcolumn switching with monolithic trap column of a cytochrome c digest (a) with 1 pmol injected.
This article demonstrates that the use of monolithic trap columns for preconcentration and desalting of peptides and proteins does not negatively influence chromatographic performance or sample recovery. Sample capacity of the monolithic trap columns (200µm i.d. × 5 mm) is 100 pmol for both peptides and proteins.
Figure 2: Separation of 16 intact proteins (5 ng each injected) on a monolithic capillary column after preconcentration on a monolithic trap column.
LC system: UltiMate Plus nano LC system, Switchos
column switching module and FAMOS
autosampler (LC Packings/Dionex)
Trap column: Monolithic trap column, PS-DVB,
200-µm i.d. × 5 mm
Loading solvent: Water with 0.05% hepta fluorobutyric acid
(HFBA)
Loading solvent
flow-rate: 10µL/min
Analytical column: Monolithic capillary column,
PS-DVB, 200µm i.d. × 5 cm
Mobile phases: (a) Water, 0.05% TFA
(b) Water, acetonitrile (50:50%, v/v),
0.04% TFA
Flow-rate: 2.7µL/min
Gradient: 0–70% B in 7 min for peptides
30–100% B in 25 min for proteins
Column
temperature: 60 °C
UV detection: 214 nm; 3 nL flowcell
The influence of the monolithic trap column on chromatographic performance was evaluated by the separation of tryptic peptides of cytochrome c. Figure 1 shows a comparison between direct injection and microcolumn switching with a monolithic trap column. Table 1 lists peak widths at half height (PWHH) for the tryptic peptides with and without preconcentration.
Table 1: PWHH for Tryptic Peptides of Cytochrome c Separated on Monolithic Columns
Figure 2 shows the separation of 16 standard proteins on a monolithic capillary column with sample loading on a monolithic trap column. PWHH were typically between 4 and 8 s.
The experiments demonstrate that monolithic trap columns can be used for preconcentration and desalting of samples consisting of peptides and proteins, without negatively influencing the chromatographic performance or recovery of the compounds. The sample capacity of the monolithic trap columns (200µm i.d. × 5Xmm) is in the range of 100 pmol for both peptides and proteins (data not shown).
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.