Waters >5 μm Preparative HPLC Column
Brochures and specifications | 2023 | WatersInstrumentation
Preparative HPLC columns are essential in pharmaceutical discovery, natural product isolation, and industrial separations to obtain purified compounds at scale with reproducible performance.
This document reviews the design principles and performance characteristics of >5 µm preparative HPLC columns featuring Optimum Bed Density (OBD) technology and presents a comprehensive catalog of column chemistries and formats. The goal is to guide users in selecting columns for high-capacity separations, predictable lifetimes, and seamless scale-up from analytical to preparative workflows.
• Optimum Bed Density (OBD) packing process produces a uniform, void-free chromatographic bed to maximize mechanical stability and lifetime.
• Scale-up equations for column diameter, length, flow rate, loading mass, and gradient duration enable direct transfer of UPLC/HPLC methods to preparative formats.
• Online OBD column calculator supports mass-load and gradient scaling and split-flow optimization for MS detection.
• OBD columns demonstrate exceptional stability: e.g., >7 000 injections on an XBridge BEH C18 OBD column with consistent peak shapes.
• Mass loading capacities span from single-digit to >1 000 mg per injection depending on column diameter and particle chemistry, with detailed tables for peptides and small molecules.
• Diverse chemistries (C18, C8, phenyl, HILIC, amide, peptide-specific, glycan) provide tailored selectivity for polar, basic, and large biomolecules.
• Backpressure comparisons show up to 30 % lower pressures on OBD packings versus conventional packings, enabling higher throughput.
• Predictable column lifetime and reproducible performance reduce downtime and cost of ownership.
• High mass capacity enhances throughput in drug discovery, peptide/protein purification, and natural product research.
• Direct scale-up from UPLC/UHPLC screening methods accelerates method development and reduces solvent consumption.
• Broad pH tolerance and robust media enable challenging separations in strong solvents or extreme pH conditions.
• Continued development of specialized stationary phases (e.g., glycan, oligonucleotide, peptide-optimized chemistries) for emerging biotherapeutics.
• Integration of predictive online tools and AI-driven method development for automated scale-up and gradient optimization.
• Adoption of greener mobile phases, reducing use of toxic solvents and improving sustainability in preparative chromatography.
• Expansion of high-throughput preparative platforms with automated fraction collection and inline analytics.
Optimum Bed Density preparative columns across multiple chemistries deliver predictable lifetimes, high loading capacity, and scalable performance from analytical to preparative scale. These features support robust, high-throughput purification workflows and facilitate rapid transfer of methods in research and industrial laboratories.
Consumables, LC columns, PrepLC
IndustriesManufacturerWaters
Summary
Importance of Topic
Preparative HPLC columns are essential in pharmaceutical discovery, natural product isolation, and industrial separations to obtain purified compounds at scale with reproducible performance.
Objectives and Overview
This document reviews the design principles and performance characteristics of >5 µm preparative HPLC columns featuring Optimum Bed Density (OBD) technology and presents a comprehensive catalog of column chemistries and formats. The goal is to guide users in selecting columns for high-capacity separations, predictable lifetimes, and seamless scale-up from analytical to preparative workflows.
Methodology and Instrumentation
• Optimum Bed Density (OBD) packing process produces a uniform, void-free chromatographic bed to maximize mechanical stability and lifetime.
• Scale-up equations for column diameter, length, flow rate, loading mass, and gradient duration enable direct transfer of UPLC/HPLC methods to preparative formats.
• Online OBD column calculator supports mass-load and gradient scaling and split-flow optimization for MS detection.
Main Results and Discussion
• OBD columns demonstrate exceptional stability: e.g., >7 000 injections on an XBridge BEH C18 OBD column with consistent peak shapes.
• Mass loading capacities span from single-digit to >1 000 mg per injection depending on column diameter and particle chemistry, with detailed tables for peptides and small molecules.
• Diverse chemistries (C18, C8, phenyl, HILIC, amide, peptide-specific, glycan) provide tailored selectivity for polar, basic, and large biomolecules.
• Backpressure comparisons show up to 30 % lower pressures on OBD packings versus conventional packings, enabling higher throughput.
Benefits and Practical Applications
• Predictable column lifetime and reproducible performance reduce downtime and cost of ownership.
• High mass capacity enhances throughput in drug discovery, peptide/protein purification, and natural product research.
• Direct scale-up from UPLC/UHPLC screening methods accelerates method development and reduces solvent consumption.
• Broad pH tolerance and robust media enable challenging separations in strong solvents or extreme pH conditions.
Future Trends and Opportunities
• Continued development of specialized stationary phases (e.g., glycan, oligonucleotide, peptide-optimized chemistries) for emerging biotherapeutics.
• Integration of predictive online tools and AI-driven method development for automated scale-up and gradient optimization.
• Adoption of greener mobile phases, reducing use of toxic solvents and improving sustainability in preparative chromatography.
• Expansion of high-throughput preparative platforms with automated fraction collection and inline analytics.
Conclusion
Optimum Bed Density preparative columns across multiple chemistries deliver predictable lifetimes, high loading capacity, and scalable performance from analytical to preparative scale. These features support robust, high-throughput purification workflows and facilitate rapid transfer of methods in research and industrial laboratories.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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