Unlike normal phase chromatography, in which the stationary phase is hydrophilic, reverse phase chromatography employs a stationary phase that is hydrophobic in nature. As a result, molecules with hydrophobic properties contained within the mobile phase or feedstock will have a high affinity for the stationary phase and will more readily adhere to the column packing.
Hydrophilic molecules having less of an affinity for the column packing will pass through or be eluted first. Hydrophobic molecules can be eluted from the column by decreasing the polarity of the mobile phase using an organic (non-polar) solvent. The non-polar nature of the solvent reduces hydrophobic interactions and allows release from the stationary phase so it can be collected. The more hydrophobic the molecule, the more strongly it will bind to the stationary phase, and the higher the concentration of organic solvent that will be required to elute the molecule.
YMC has been a manufacturer of reverse phase technology for nearly 40 years having pioneered uses in industrial chromatography. Discover the many YMC reverse phase products that offer the user superior separations under a wide range of conditions.
Characterization and evaluation of a novel C18 column based on organic/inorganic hybrid silica for HPLC and UHPLC
Carotenoid Characterization of natural Products by HPLC
Carotenoid Characterization by HPLC
Carotenoid Analysis in Food and Drug Formulations
Utilizing of a novel organic/inorganic hybrid reversed phase column for efficient method development over a wide pH range
Characterization and evaluation of a novel reversed phase column based on organic/inorganic hybrid silica for HPLC and UHPLC
Utilizing of a novel organic-inorganic hybrid C18 column for efficient method development over a wide pH range
New Generation of Semi Prep Column by YMC
Newly developed C30 packing materials Substrate-depending preferable combination characters
Ultra-fast LC analysis of soy isoflavones in foods and dietary supplements using newly developed 2µm RP-column designed for polar compounds
YMC-Triart C18 for Preparative Purification of Cannabidiol from a Commercially Available Hemp Oil Extract
YMC-Triart 1.0mm ID for LCMS 0821
Development of effective purification method for peptides and proteins by silica gel based reversed phase packing material
Peptides on Triart C18
Development of LC-MS method for Oligonucleotide Analysis with RP-HPLC Column Designed for Separation of Highly Polar Compounds
Use of New YMC-Triart 1.9μm UHPLC Stationary Phase for Fast Peptide Mapping of Monoclonal Antibodies
Use of New 1.9μm YMC-Triart C18 and 2.7μm YMC-Meteoric Core C18 BIO Stationary Phases for Fast Peptide Mapping of Monoclonal Antibodies
Purification of a GalNAc-cluster-conjugated oligonucleotide by reversed-phase twin-column continuous chromatography
Improvement in productivity of the method development for the drug analyses by using a novel hybrid reversed phase column
Utilizing Alternative Selectivity Provided by Novel High-Coverage C18 Phase Based on Robust Hybrid Particles for UHPLC/HPLC Method Development
High sensitive and high throughput analysis of diltiazem metabolites using LC/TOF-MS
Polar Analytes Applications and Products (catalog excerpt)
Ultra-fast LC analyses of biomolecules and pharmaceuticals using 2µm packing materials
High-throughput HPLC analysis of anthocyanins and anthocyanidins in bilberry extract using a novel 2µm polymeric-C18 column with high chemical stability and unique selectivity
Advantages of ultra-fast liquid chromatography using 2µm packing materials
Ultra high-throughput analyses of polar compounds with newly developed 2µm YMC-UltraHT C18 column
HPLC Separation of Cannabidiol and Melatonin on YMC-Triart C18 – Application Note
How to improve a peptide purification process
Development of Oligonucleotide Analysis Methodology with RP-HPLC Column Designed for Separation of Highly Polar Compounds
Insulin Purification Case Study
Use our extensive Applications Search page to mine a dynamically growing collection of over 350 YMC-produced application notes.
The data can be searched by any combination of several variables, including sample classification, compound name (including partial names), and column parameters.
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