retention time raises a handful of sensible questions. This page answers them in order, starting with the fundamentals and moving to applications.
Reviewed 2026-05-28. Anything still debated is marked as such rather than presented as settled.
High-performance liquid chromatography, or HPLC, separates dissolved compounds by passing a liquid mobile phase through a packed column. Components distribute differently between the stationary phase and the moving liquid, so they travel at different speeds and exit at different times. A detector records these eluting bands as peaks, and peak area or height relates to amount. The technique supports testing in pharmaceuticals, foods, environmental samples, and industrial chemicals. Quantification usually depends on calibration with known standards.
Several separation modes exist, including reversed-phase, normal-phase, ion-exchange, size-exclusion, and hydrophilic interaction liquid chromatography. Reversed-phase uses a nonpolar stationary phase with a polar mobile phase and is widely applied to small organic molecules. Gradient elution changes mobile phase composition during the run, while isocratic elution keeps it constant. Column chemistry, particle size, temperature, flow rate, and mobile phase pH all influence retention and resolution. Method development selects conditions that separate analytes from matrix components and from each other.
Detection commonly uses ultraviolet-visible absorbance, fluorescence, refractive index, or mass spectrometry. Ultraviolet detection depends on molecular chromophores that absorb light at specific wavelengths. Mass spectrometry provides mass information and sensitive quantification, often after electrospray ionization. Before sample batches, performance checks examine resolution, elution time repeatability, peak symmetry, and plate count. Matrix effects and co-elution remain recognized uncertainties; formal validation studies and orthogonal detection help address them. Detector choice depends on analyte properties and required sensitivity.
Method validation establishes that an HPLC procedure is suitable for its intended use. Key parameters include accuracy, precision, specificity, linearity, range, limit of detection, limit of quantitation, and robustness. Accuracy measures agreement with a true or accepted value, while precision describes repeatability and intermediate precision. Specificity confirms that the method measures the analyte without interference from impurities, degradants, or excipients. Validation is documented in a protocol and report, and acceptance criteria are set before experiments begin. Regulatory guidance varies by region, but the general principles are widely harmonized.
System suitability testing is performed before and during analytical runs to confirm that the instrument and method are working as expected. Common checks include retention time, peak area, resolution between critical pairs, tailing factor, and theoretical plate count. Results are compared with predefined limits, and a failed check requires investigation before sample results are reported. Quality control samples at low, middle, and high concentrations are injected at intervals to monitor accuracy and precision. Blank injections detect carryover and contamination, while control charts track performance over time.
Data handling and documentation are central to HPLC quality control. Electronic systems should have audit trails that record changes to methods, sequences, and results. Integration parameters, such as peak baseline and threshold, can affect reported areas and must be defined in advance. Out-of-specification results trigger a structured investigation that may include reanalysis, instrument checks, and review of sample preparation. Regulatory inspections often examine raw data, audit trails, and training records to verify that reported results are traceable and reliable.
| Property | Value | Notes |
|---|---|---|
| Column particle size | 3–5 µm for conventional HPLC; sub-2 µm for UHPLC | Smaller particles increase backpressure and efficiency. |
| Typical flow rate | 0.5–2.0 mL/min for a 4.6 mm internal diameter column | Flow scales with column diameter and particle size. |
| UV detection wavelength | 190–400 nm | Selection depends on analyte chromophore. |
| Column temperature | 25–40 °C | Temperature affects retention, selectivity, and pressure. |
| Injection volume | 1–20 µL | Larger volumes may distort early-eluting peaks. |
Developing an HPLC test begins with defining the analytes, matrix, and required reporting limits. Chemists select a separation mode, column chemistry, mobile phase composition, flow rate, and detection wavelength or mass transition. Experiments then adjust these variables to achieve adequate retention, resolution, and peak shape. System suitability tests confirm that the instrument and method perform consistently before sample analysis. Without suitable resolution, quantitative results may be unreliable. Preliminary runs often use scouting gradients to locate retention windows.
Validation establishes that a method is suitable for its intended purpose. Typical parameters include accuracy, precision, specificity, linearity, range, limit of detection, limit of quantification, robustness, and stability of standards and samples. Acceptance criteria are defined in advance, and results are documented in a validation report. Regulatory guidance for pharmaceuticals, foods, and environmental testing differs, so the applicable framework must be identified. Ongoing verification uses control samples and trend charts after validation. Method transfer to another laboratory may require partial revalidation.
Method validation establishes that an HPLC procedure is suitable for its intended purpose. Typical parameters include accuracy, precision, specificity, linearity, range, limit of detection, limit of quantitation, robustness, and solution stability. Accuracy reflects closeness to a reference value, while precision reflects agreement among repeated measurements. Specificity shows whether the method can measure the analyte without interference from matrix components. Validation is documented through protocols and reports, and the required extent depends on the method's use and regulatory context.
Routine quality control uses system suitability, blank injections, check standards, and control samples to detect drift or contamination. System suitability criteria may specify minimum resolution, maximum tailing factor, and a permitted range for repeated injections. Blank injections reveal carryover or solvent contamination, while check standards confirm calibration accuracy over a batch. Control samples with known analyte levels can show whether results remain within statistical limits. When a control result falls outside limits, the analyst investigates the cause and may invalidate affected results before repeating the batch.
Hari Reddi received his PhD from the University of Delhi in reproductive endocrinology under the mentorship of M.R.N. Prasad. Reddi did postdoctoral work with Howard Guy Williams-Ashman at the Johns Hopkins University School of Medicine. Reddi was also a student of Charles Brenton Huggins, the winner of the 1966 Nobel Prize with Peyton Rous for the endocrine regulation of cancer. Reddi is the founder of the International Conference on Bone Morphogenetic Proteins (BMPs). He organized the first conference at the Johns Hopkins University School of Medicine in 1994. The conference is held every two years rotating between the United States and an international venue.
5-Oxo-ETE contracts smooth muscle and organ-cultured bronchi isolated from guinea pigs but relaxes bronchi isolated from human lung; the relaxation of human bronchi caused by 5-oxo-ETE may not involve its OXER1. These results suggest that 5-oxo-ETE is not directly involved in the bronchoconstriction) that occurs in eosinophil-based allergic asthma reactions in humans. 5-Oxo-ETE (or other 5-HETE family member) stimulates the growth and/or survival of human cell lines derived from cancers of the prostate, breast, lung, ovary, colon and pancreas These preclinical studies suggest that 5-oxo-ETE (or other 5-HETE family member) may contribute to the cited cancers progression in humans. 5-oxo-ETE stimulates human H295R adrenocortical cells to increase transcription of steroidogenic acute regulatory protein messenger RNA and produce aldosterone and progesterone by an apparent OXER1-dependent pathway. 5-Oxo-ETE induces an isotonic volume reduction in guinea pig intestinal crypt epithelial cells.
Selective microfluidics-based ligand enrichment followed by sequencing (SMiLE-seq) is a technique developed for the rapid identification of DNA binding specificities and affinities of full length monomeric and dimeric transcription factors in a fast and semi-high-throughput fashion. SMiLE-seq works by loading in vitro transcribed and translated “bait” transcription factors into a microfluidic device in combination with DNA molecules. Bound transcription factor-DNA complexes are then isolated from the device, which is followed by sequencing and then sequence data analysis to characterize binding motifs. Specialized software is used to determine the DNA binding properties of monomeric or dimeric transcription factors to help predict their in vivo DNA binding activity. SMiLE-seq combines three important functions differing from existing techniques: (1) The use of capillary pumps to optimize the loading of samples, (2) Trapping molecular interactions on the surface of the microfluidic device through immunocapture of target transcription factors, (3) Enabling the selection of DNA that is specifically bound to transcription factors from a pool of random DNA sequences.
Sources: en.wikipedia.org
Bactericidal permeability-increasing protein (BPI) is a 456-residue (~50kDa) protein that is part of the innate immune system, coded for in the human by the BPI gene. It belongs to the family of lipid-binding serum glycoproteins. BPI was initially identified in neutrophils, but is found in other tissues including the epithelial lining of mucous membranes. It is an endogenous antibiotic protein with potent killing activity against Gram-negative bacteria. It binds to compounds called lipopolysaccharides produced by Gram-negative bacteria. Lipolysaccharides are potent activators of the immune system; however, BPI at certain concentrations can prevent this activation. BPI was discovered by Jerrold Weiss and Peter Elsbach at New York University Medical School.
While genome annotation is primarily based on sequence similarity (and thus homology), other properties of sequences can be used to predict the function of genes. In fact, most gene function prediction methods focus on protein sequences as they are more informative and more feature-rich. For instance, the distribution of hydrophobic amino acids predicts transmembrane segments in proteins. However, protein function prediction can also use external information such as gene (or protein) expression data, protein structure, or protein–protein interactions. Evolutionary biology is the study of the origin and descent of species, as well as their change over time. Informatics has assisted evolutionary biologists by enabling researchers to:
The human ADM gene is localized to a single locus on Chromosome 11 with 4 exons and 3 introns. The ADM gene initially codes for a 185-amino acid precursor peptide, that can be differentially excised to form a number of peptides, including an inactive 53-amino acid AM, e PAMP, adrenotensin and ADM95-146. Mature human ADM is activated to form a 52-amino acid, 6-amino acid ring, that shares moderate structural similarity to the calcitonin family of regulatory peptides (calcitonin, CGRP and amylin). Circulating ADM consists of both the amidated active form (15%) and the glycated inactive form (85%). It has a plasma half-life of 22min, a mean clearance rate of 27.4 mL/kg/min, and an apparent volume of distribution of 880 ± 150 mL/kg. Adrenomedullin consists of 52 amino acids, has 1 intramolecular disulfide bond, and shows a slight homology with the calcitonin gene-related peptide (CGRP). The precursor, called preproadrenomedullin, consists of 185 amino acids and can be cleaved by plasma kallikrein at the Lys-Arg and Arg-Arg sites. By RNA-blot analysis, human adrenomedullin mRNA was found to be expressed in all tissues, and most highly expressed in the placenta, fat cells, lung, pancreatic islets, smooth muscle, and skin.
Sources: en.wikipedia.org
The standard botanical author abbreviation Tswett is applied to plants that he described. Ostrowski, W (1968). "Michael S. Tswett—inventor of column chromatography (On the occasion of 65th anniversary of his lecture on the column chromatography technique)". Folia Biol. (Krakow). Vol. 16, no. 4. pp. 429–48. PMID 4885242. R. Willstätter, A. Stoll, Untersuchungen über Chlorophyll, Springer, Berlin (1913) Biography of Mikhail S. Tsvet (pdf, in German) Mikhail S. Tsvet: Physical chemical studies on chlorophyll adsorptions Berichte der Deutschen botanischen Gesellschaft 24, 316–323 (1906)
In the remote troposphere, hydrogen peroxide (H₂O₂) and methyl hydroperoxide (CH₃OOH) are among the most abundant hydroperoxides and act as reservoirs for HOx (OH + HO₂), buffering radical concentrations and tracing oxidation chemistry. Formation in the remote troposphere is dominated by peroxy-radical chemistry: HO₂ + HO₂ → H₂O₂ + O₂ and CH₃O₂ + HO₂ → CH₃OOH + O₂ Global aircraft observations during NASA's Atmospheric Tomography (ATom) mission show that their distributions reflect formation via peroxy-radical chemistry and are modulated by season and recent convection. Under atmospheric conditions, the reaction of organic peroxyl radicals (RO₂) with HO₂—an important source of ROOH—exhibits a generally negative temperature dependence, and its product branching competes with RO₂ autoxidation (isomerization) and RO₂+RO₂ channels. Many functionalized RO₂ types (for example, β-hydroxy or highly oxygenated RO₂) still lack good laboratory data on rates and products. Because of that, the predicted ROOH yields—and how they change with temperature—remain uncertain.
At the present time the Department promotes various scientific fields, running the whole gamut of base branches of classical physical chemistry: thermodynamics, kinetics, electrochemistry, catalysis, sorption processes. As the subjects of research, organic compounds unite all the aforesaid research areas. Over the last years staff members of the Department of Physical Chemistry made reports at conferences in many countries of the world: Canada, Poland, Republic of South Africa, Italy, Germany, Portugal, Czech Republic, USA, Ireland, Croatia, Spain, Sweden, Japan, Brazil. The head of the Department is Professor Boris N. Solomonov, Doctor of Science in Chemistry. The Department conducts research in the following fields:
Sources: en.wikipedia.org
HPLC separates and quantifies compounds in a liquid sample. Detectors produce a response proportional to the amount of a compound passing through the flow cell. Identification by retention time requires comparison with a known standard.
UHPLC uses columns with smaller particles and operates at higher pressures than conventional HPLC. These conditions can improve speed, resolution, and sensitivity. Both techniques use the same fundamental separation principles.
Validation shows that a method performs reliably for its intended purpose across a defined range. It assesses accuracy, precision, specificity, linearity, and robustness. Regulated testing often requires documented validation before routine use.
System suitability is a set of checks that confirm the instrument and method perform within limits before sample analysis. It typically includes resolution, tailing factor, retention time, and peak area reproducibility. If a check fails, the run is invalidated until the cause is resolved.