If you have been reading about Reversed-phase and want a single page that covers the useful parts, this is it: definitions, context, how it is studied, and the questions that come up repeatedly.
Updated 2025-12-21. Numbers and descriptions here follow the published literature rather than marketing material.
Method validation examines whether an HPLC procedure is suitable for its intended purpose. Common parameters include accuracy, precision, specificity, linearity, range, detection limit, quantification limit, and robustness. Accuracy describes closeness to a true or accepted value, while precision describes agreement among repeated measurements. Specificity shows whether the method can measure the analyte without interference from related substances. Robustness tests small deliberate changes in flow, temperature, or solvent composition. Validation is not a one-time event; methods may need partial revalidation after changes to instruments, columns, sample handling, or specification limits. Regulatory guidance provides frameworks, but some details remain method-specific.
Regulatory and pharmacopeial texts shape how HPLC testing is performed and documented. The International Council for Harmonisation provides validation guidance, while pharmacopeias publish general chromatography chapters and monographs for specific materials. Accreditation standards such as ISO/IEC 17025 address laboratory competence and traceability. Inspectors may review instrument qualification, analyst training, reference material control, and electronic records. Open questions include how best to validate methods for new complex products and how to handle automated data processing. Laboratories generally resolve these issues through risk assessment, method lifecycle management, and documented scientific justification.
In quality control laboratories, HPLC testing supports batch release, raw material checks, stability studies, and impurity profiling. A validated method defines sample preparation, instrument settings, calibration, and acceptance criteria. Analysts compare results with specifications and investigate out-of-specification outcomes before a batch is approved. Documentation includes chromatograms, integration records, audit trails, and reagent details. Because results influence product decisions, laboratories follow formal quality systems and data integrity rules. The exact tests and limits depend on the material, its intended use, and the applicable regulatory framework.
Key performance measures include retention time, peak area, peak height, resolution, tailing factor, and plate count. Retention time helps identify a peak under fixed conditions, but confirmation often requires a second method or detector. Peak area and height relate to concentration through calibration curves, which may be linear or nonlinear depending on the detector response. Resolution describes separation between adjacent peaks, while tailing factor and plate count describe peak shape and column efficiency. Performance checks verify these values before and during a run to confirm that the instrument is performing within limits.
High-performance liquid chromatography testing separates components of a liquid sample by forcing a mobile phase through a packed column. The stationary phase inside the column interacts with analytes to different degrees, so each compound exits at a characteristic retention time. A pump delivers solvent at controlled flow and pressure, while an injector introduces a precise sample volume. Detectors such as ultraviolet-visible, fluorescence, refractive index, or mass spectrometric instruments record the separated bands. The resulting chromatogram provides qualitative and quantitative information about the mixture.
Separation modes differ by the chemistry of the stationary phase and the composition of the mobile phase. Reversed-phase testing uses a nonpolar column and polar solvents, making it common for pharmaceutical, environmental, and food analytes. Normal-phase testing uses a polar column and nonpolar solvents for compounds that are poorly retained in reversed-phase systems. Ion-exchange and ion-pair methods separate charged species, while size-exclusion methods sort molecules by hydrodynamic volume. Gradient elution changes solvent strength over time to resolve complex mixtures, and isocratic elution holds solvent composition constant for simpler assays.
| Property | Value | Notes |
|---|---|---|
| Primary guidance | ICH Q2(R2) | Analytical procedure validation |
| Compendial chapter | USP <621> | Chromatography general chapter |
| Validation parameter | Accuracy | Closeness to accepted true value |
| System suitability check | Peak resolution | Ensures separation between adjacent peaks |
| Data record | Audit trail | Supports data integrity and traceability |
Laboratories apply HPLC testing across pharmaceutical, food, environmental, and industrial chemistry. The method can measure active ingredients, impurities, additives, preservatives, and degradation products. Sample preparation often includes dilution, filtration, and sometimes extraction or derivatization. The choice of column, mobile phase, pH, temperature, and detector depends on the analytes and matrix. Results are compared with reference standards to assign identity and concentration. Method suitability is judged by resolution, precision, and accuracy.
HPLC testing is not a single fixed procedure; it is a family of separation modes. Reversed-phase, normal-phase, ion-exchange, size-exclusion, and affinity chromatography each suit different analyte properties. Reversed-phase methods dominate because they handle many neutral and moderately polar compounds. Detection can be optical, electrochemical, or mass spectrometric, and the detector dictates what information is available. Coupling with mass spectrometry increases selectivity and enables identification when standards are unavailable. The technique cannot separate every mixture without adjustment.
High-performance liquid chromatography is an analytical technique that separates components of a liquid sample by passing it through a packed column under pressure. A pump delivers a mobile phase at a controlled flow rate, and an injector introduces the sample into the stream. Differences in interaction with the stationary phase cause analytes to migrate at different rates. Detectors record elution as peaks, and a data system converts signals into a chromatogram. The method is suited to compounds that dissolve in a liquid and are not volatile enough for gas chromatography.
Reversed-phase chromatography dominates modern HPLC testing, using a nonpolar stationary phase such as chemically bonded octadecyl groups and a polar mobile phase of water mixed with organic solvent. Analytes partition between the mobile and stationary phases according to hydrophobicity. Gradient elution changes the mobile phase composition over time to separate compounds with a wide range of retention. Isocratic elution keeps the composition constant and is simpler for routine assays. Column temperature, pH, and flow rate influence selectivity, peak shape, and retention time, so these parameters are controlled during a validated method.
Method validation demonstrates that an HPLC procedure is suitable for its intended purpose. Common validation parameters include accuracy, precision, specificity, linearity, range, limit of detection, limit of quantification, and robustness. Accuracy reflects agreement with a reference value, while precision describes repeatability under defined conditions. Specificity shows whether the method can measure the analyte in the presence of impurities or matrix components. Validation documents are reviewed before a method is used for routine testing or regulatory submissions.
System suitability testing is performed before and during analytical runs to confirm that the instrument and method are working as expected. Typical checks include retention time, peak area precision, resolution between critical pairs, tailing factor, and theoretical plate count. Acceptance criteria are set in the method or pharmacopeial monograph. If a suitability check fails, the run may be rejected and the instrument or sample preparation may need investigation. This practice helps prevent release of data from a system that has drifted out of control.
Quality control samples are inserted at intervals to monitor accuracy and precision throughout a batch. Blank samples detect contamination, while spiked samples assess recovery from the sample matrix. Calibration standards establish the relationship between detector response and concentration, and control samples are prepared independently from them whenever possible. Laboratories also participate in proficiency testing and maintain audit trails, instrument logs, and reagent records. Ongoing review of control charts can reveal trends before they cause out-of-specification results.
Upregulation of receptors is the increase in receptor number or sensitivity of receptors. The receptors involved in functional antagonism are regulated in sensitivity, number and location. Therefore, changes in receptors are common. Using a long-term antagonist drug or continuous exposure to an antagonist may cause the upregulation and hypersensitivity of receptors, which means an increase in the number and sensitivity of receptors. The increase in the number of receptors is due to the increased expression of receptors after prolonged inhibition. The upregulation of receptors is important in the clinical aspect. One example of upregulation of receptors is the upregulation of β-receptors caused by β receptor antagonists (also called β-blocker). The prolonged use of β-blockers results in the blockade of β-receptors, causing cells (mainly myocardial cells) to increase their expression of β-receptor. After removing the blockage, more receptors available for stimulation, resulting in higher sensitivity of β-receptors called the hypersensitivity of β-receptors. Abrupt discontinuation of β-blocker may potentially aggravate coronary artery disease, tachycardia, or even sudden cardiac death. Therefore, to prevent the adverse effects, doses of β-blocker must be reduced gradually over 10–14 days.
Clinical data management Clinical Quality Management System Clinical trial management system Clinical trial Electronic data capture Electronic Common Technical Document (eCTD) Drug development Stuart Summerhayes, CDM Regulations Procedures Manual, Blackwell Publishing, ISBN 1-4051-0740-5 Tai BC, Seldrup J., A review of software for data management, design and analysis of clinical trials, Ann Acad Med Singap. 2000 Sep;29(5):576-81. Greenes RA, Pappalardo AN, Marble CW, Barnett GO., Design and implementation of a clinical data management system, Comput Biomed Res. 1969 Oct;2(5):469-85. CDMS at Mayo Clinic Association for Clinical Data Management Society for Clinical Data Management French network of Data Managers in Academic biomedical research Data Quality Research Institute Data Security Software for Clinics
The histology of ALK-negative ALCL, similar to ALK-positive ALCL, consist of "hallmark" cells that strongly express CD30. Unlike ALK-positive ALCL, however, ALK-negative ALC does not fall into different morphological patterns. The histological of this disease may overlap with and be difficult to distinguish from other CD30-positive T-cell lymphomas or the nodular sclerosis form of Hodgkin lymphoma. Cases in which ALK-negative ALCL is not distinguishable from the latter lymphomas are best diagnosed as peripheral T-cell lymphoma not otherwise specified (PTL, NOS). The histology of ALK-negative ALCL may also overlap with tumors of non–T-cell lineage such as various carcinomas. The differential diagnoses of ambiguous cases may be helped by examining the tumor cells for the expression of certain marker proteins. For example, expression of CD56, MUC1 (also termed EMA for epithelial membrane antigen), and clusterin and strong uniform expression of CD30 support the diagnosis of ALK-negative ALCL over PTL, NOS, while variable CD30 expression and extensive expression of T-cell receptor proteins favor PTCL-NOS over ALK-negative ALCL. Detection of certain gene abnormalities (see next section) may also help distinguishing these diseases.
The first class of adenylyl cyclases occur in many bacteria including E. coli (as CyaA P00936 [unrelated to the Class II enzyme]). This was the first class of AC to be characterized. It was observed that E. coli deprived of glucose produce cAMP that serves as an internal signal to activate expression of genes for importing and metabolizing other sugars. cAMP exerts this effect by binding the transcription factor CRP, also known as CAP. Class I AC's are large cytosolic enzymes (~100 kDa) with a large regulatory domain (~50 kDa) that indirectly senses glucose levels. As of 2012, no crystal structure is available for class I AC. Some indirect structural information is available for this class. It is known that the N-terminal half is the catalytic portion, and that it requires two Mg2+ ions. S103, S113, D114, D116 and W118 are the five absolutely essential residues. The class I catalytic domain (Pfam PF12633) belongs to the same superfamily (Pfam CL0260) as the palm domain of DNA polymerase beta (Pfam PF18765). Aligning its sequence onto the structure onto a related archaeal CCA tRNA nucleotidyltransferase (PDB: 1R89) allows for assignment of the residues to specific functions: γ-phosphate binding, structural stabilization, DxD motif for metal ion binding, and finally ribose binding.
The Bergmann degradation makes use of the azide degradation described by the Curtius rearrangement. Curtius also attempted to degrade benzoylated amino acids; however, his method involved splitting the carbamate with strongly energetic treatment with acids, which lead to decomposition of the resultant aldehyde and acid amides. This convinced Bergmann that Curtius' azide degradation could be followed by treatment with benzyl alcohol (his carbobenzoxy method) to isolate the resultant amino acid aldehyde and residual peptide amide for sequencing purposes.
Sources: en.wikipedia.org
Integrator complex subunit 15, also known as C7orf26, is a protein encoded in humans by the INTS15 gene. Based on properties of c7orf26 and its conservation over a long period of time, its suggested function is targeted for the cytoplasm and it is predicted to play a role in regulating transcription. Chromosome 7 is one of the 23 pairs of chromosomes in the human body, and spans about 159 million base pairs and represents about 5-5.5% of the total DNA in cells. Changes to the structure of chromosome 7 can result in a number of genetic abnormalities, including Williams Syndrome which causes structural and cosmetic changes to the human body, ultimately resulting in a shorter lifespan. There are hundreds of known open reading frames (ORF) along the domain of chromosome 7, however there is not much known about the 26th reading frame, which is of considerable interest. Currently, two isoforms of c7orf26 are known in Homo Sapiens and are referred to as isoforms 1 and 2, respectively.
Motilin was discovered by J.C. Brown when he introduced alkaline solution into duodena of dogs, which caused strong gastric contractions. Brown et al. predicted that alkali could either release stimulus to activate motor activity or prevent the secretion of inhibitory hormone. They isolated a polypeptide as a by-product from purification of secretin on carboxymethyl cellulose. They named this polypeptide "Motilin."
CKLF-like MARVEL transmembrane domain-containing 5 (CMTM5), previously termed chemokine-like factor superfamily 5 (i.e. CKLFSF5), designates any one of the six protein isoforms (termed CMTM5-v1 to CMTM5-v6) encoded by six different alternative splices of its gene, CMTM5; CMTM5-v1 is the most studied of these isoforms. The CMTM5 gene is located in band 11.2 on the long (i.e. "q") arm of chromosome 14. The CMTM5 isoforms are members of the CKLF-like MARVEL transmembrane domain-containing family (CMTM). This family consists of 9 proteins although most of them are known to have one or more isoforms. These proteins are: chemokine-like factor (i.e. CLF, the founding member of the family) and CEF-like marvel transmembrane domain-containing 1 through 8 (i.e. CMTM1 through CMTM8). All of these proteins as well as the genes responsible for their production (i.e. CKLF and CMTM1 to CMTM8, respectively) have similar structures but vary in their apparent physiological and pathological functions. Preliminary studies suggest that CMTM5-v1 (which cells commonly secrete to the extracellular spaces such as the blood) or an unspecified CMTM5 isoform has various functions including involvements in regulating the autoimmune system, the development of numerous types of cancers, and the cardiovascular system.
21. Adv Gerontol. 2011;24(1):38-42. [Characteristics of the pineal gland and thymus relationship in aging]. [Article in Russian] Lin'kova NS, Poliakova VO, Kvetnoĭ IM, Trofimov AV, Sevost'ianova NN. The review presents the interference between thymus and pineal gland during their involution. The research data of thymus peptides influence on pineal gland and pineal peptides on thymus are summarized. Analysis of these data showed that pineal peptides (Epithalamin, Epitalon) had more effective geroprotective effect on thymus involution in comparison with geroprotective effect of thymic peptides (Thymalin, Thymogen) on involution of pineal gland. The key mechanisms of pineal peptides effect on thymus dystrophy is immunoendocrine cooperation, which is realized as transcription's activation of various proteins.
Sources: en.wikipedia.org
Blood sugar regulation is the process by which the level of blood sugar, the common name for glucose dissolved in blood plasma, is maintained by the body within a narrow range. This tight regulation is referred to as glucose homeostasis. Insulin, which lowers blood sugar, and glucagon, which raises it, are the most well known of the hormones involved, but more recent discoveries of other glucoregulatory hormones have expanded understanding of this process. The pancreas gland secretes two hormones that are primarily responsible for regulation of glucose levels in blood. Blood sugar levels are regulated by negative feedback in order to keep the body in balance. The levels of glucose in the blood are monitored by many tissues, but the cells in the pancreatic islets are among the most well understood and important. Granule docking is an important glucose-dependent step in human insulin secretion that does not work properly in type 2 diabetes.
Although it is a relatively immature area of research, it appears that heterotrimeric G-proteins may also take part in non-GPCR signaling. There is evidence for roles as signal transducers in nearly all other types of receptor-mediated signaling, including integrins, receptor tyrosine kinases (RTKs), cytokine receptors (JAK/STATs), as well as modulation of various other "accessory" proteins such as GEFs, guanine-nucleotide dissociation inhibitors (GDIs) and protein phosphatases. There may even be specific proteins of these classes whose primary function is as part of GPCR-independent pathways, termed activators of G-protein signalling (AGS). Both the ubiquity of these interactions and the importance of Gα vs. Gβγ subunits to these processes are still unclear. There are two principal signal transduction pathways involving the G protein-linked receptors: the cAMP signal pathway and the phosphatidylinositol signal pathway.
Linear RGD peptides suffer from low binding affinity, rapid degradation by proteases, and lack of specificity for integrin type. RGD can be cyclized, or made into a cyclic compound, via disulfide, thioether, or rigid aromatic ring linkers. This leads to an increase in binding affinity and selectivity for integrin αVβ3 relative to αIIBβ3. For example, the cyclic peptide ACDCRGDCFCG, also known as RGD4C, was shown to be 200-fold more potent than commonly used linear RGD peptides. The structural rigidity of cyclic RGD peptides improves their binding properties and prevents degradation at the highly susceptible aspartic acid residue, thereby increasing their stability. Many RGD derivative drugs and diagnostics are cyclized, including Eptifibatide, Cilengitide, CEND-1, and 18F-Galacto-RGD, and 18F-Fluciclatide-RGD.
Sources: en.wikipedia.org
System suitability is a set of checks performed before and during an HPLC run to confirm that the instrument and method are working as expected. It may include retention time repeatability, resolution between peaks, peak symmetry, and signal intensity. Failing suitability criteria usually invalidates the run.
An HPLC method is typically validated before its routine use and revalidated in part when significant changes affect the method. Regulators do not set a universal calendar interval. The need for revalidation depends on the change, its risk, and the applicable guidance.
Validation establishes that a method is suitable for its intended purpose, often through a planned study. Verification confirms that a laboratory can reproduce a previously validated or compendial method under its own conditions. Verification is usually narrower than full validation.
It measures the amounts and identities of compounds in liquid samples by separation and detection. Depending on the detector and reference standards, results can be qualitative or quantitative. The technique is used in fields such as pharmaceutical analysis, food safety, and environmental monitoring.