Everything below concerns Method validation. We keep the language plain, cite what the science says, and separate well-supported claims from open questions.
Last reviewed on 2026-02-28. Where a claim depends on a specific study, the study is described rather than over-claimed.
Developing an HPLC method begins with defining the purpose, such as quantifying a main component, measuring impurities, or confirming identity. Analysts select separation mode, column, mobile phase, detection, and sample preparation based on analyte properties and matrix. Experiments vary solvent strength, pH, buffer type, and temperature to achieve resolution between critical peaks. The goal is a robust method that produces reliable results across instruments and operators. Method development often involves trial runs and statistical optimization.
Validation demonstrates that a method is suitable for its intended use. Typical performance characteristics include accuracy, precision, specificity, linearity, range, limit of detection, limit of quantitation, and robustness. Regulators and standards organizations provide frameworks, but specific requirements depend on the application and jurisdiction. System suitability tests are run before sample analysis to confirm resolution, peak symmetry, retention time repeatability, and sensitivity. A validated method is not permanently fixed; changes may require partial or full revalidation.
Routine HPLC testing depends on controlled reagents, calibrated instruments, and documented procedures. Columns degrade over time, so retention times and peak shapes are monitored for drift. Mobile phases are filtered and degassed to prevent pump damage and detector noise. Reference standards must be traceable and stored under suitable conditions. Data handling systems record injections, calculations, and audit trails. Quality control samples interspersed with unknowns help detect errors during a run.
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.
| Property | Value | Notes |
|---|---|---|
| Validation parameter | Accuracy | Closeness of measured value to accepted reference value |
| Validation parameter | Precision | Agreement among repeated measurements under specified conditions |
| System suitability check | Resolution ≥ 1.5 | Baseline separation between critical peak pair |
| System suitability check | Tailing factor ≤ 2.0 | Common target for peak symmetry |
| Documentation | Validation report | Summarizes experiments, acceptance criteria, and conclusions |
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.
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.
Practical HPLC testing depends on careful sample preparation and instrument maintenance. Samples may require filtration, dilution, pH adjustment, or extraction to avoid column damage and matrix interference. Mobile phases are degassed and filtered, and columns are equilibrated before injection. Common problems include peak tailing, baseline drift, ghost peaks, carryover, and co-elution of analytes. Documentation of instrument logs, calibration records, and electronic audit trails supports data integrity and traceability. Ongoing training and routine maintenance help reduce variability between analysts and laboratories.
Quality control laboratories use HPLC to check identity, purity, concentration, and stability of raw materials and finished products. A validated method specifies the column, mobile phase, flow rate, detection wavelength, injection volume, and run time. Samples are prepared and compared against reference standards of known concentration. The resulting chromatogram provides quantitative data, such as assay values and impurity levels. This approach is common in pharmaceutical, food, environmental, and industrial testing where consistent measurements are required.
Afucosylated monoclonal antibodies are monoclonal antibodies engineered so that the oligosaccharides in the Fc region of the antibody do not have any fucose sugar units. When antibodies are afucosylated, antibody-dependent cellular cytotoxicity (ADCC) is increased. Most approved monoclonal antibodies are of the IgG1 isotype, where two N-linked biantennary complex-type oligosaccharides are bound to the Fc region. The Fc region exercises the effector function of ADCC through its interaction with leukocyte receptors of the FcγR family. ADCC is important in the efficacy of cancer antibodies, but with many approved cancer antibodies there is less ADCC than could be desired due to nonspecific IgG competing with the drugs for binding to FcγIIIa on natural killer cells. Afucosylated monoclonal antibodies overcome this problem through improved FcγIIIa binding.
Chemistry... Key to Better Living. Diamond Jubilee Volume: A Record of Chemical Progress During the First 75 Years of the American Chemical Society. American Chemical Society. 1951. Skolnik, Herman; Reese, Kenneth M., eds. (1976). A Century of chemistry: the role of chemists and the American Chemical Society. Washington, D.C.: American Chemical Society. ISBN 978-0841203075. J. J. Bohning 2001. American Chemical Society Founded 1876. ACS, Washington, D.C. Reese, Kenneth M., ed. (2002). The American Chemical Society at 125: A recent history 1976–2001. American Chemical Society. ISBN 978-0-8412-3851-0. ACS website ACS Publications website ACS Chemical & Engineering News ACS Chemical Abstracts Service (CAS) International Year of Chemistry 2011(archived) A Cauldron Bubbles: PubChem and the American Chemical Society — Information Today, June 2005 ACS Chemical Biology WIKI(archived) ACS Chemical Biology Community(archived) ACS Green Chemistry Institute ACS Organic Division Leete Award Gassman Award
A third, only marginally related concept was proposed in 1923 by Gilbert N. Lewis, which includes reactions with acid–base characteristics that do not involve a proton transfer. A Lewis acid is a species that accepts a pair of electrons from another species; in other words, it is an electron pair acceptor. Brønsted acid–base reactions are proton transfer reactions while Lewis acid–base reactions are electron pair transfers. Many Lewis acids are not Brønsted–Lowry acids. Contrast how the following reactions are described in terms of acid–base chemistry:
Methanogens rely on such enzymes to catalyze the reduction of CO2 to methane. One step in methanogenesis entails conversion of a methenyl group (formic acid oxidation state) to a methylene group (formaldehyde oxidation state). Among the hydrogenase family of enzymes, Hmd is unique in that it does not directly reduce CO2 to CH4. The natural substrate of the enzyme is the organic compound methenyltetrahydromethanopterin. The organic compound includes a methenyl group bound to two tertiary amines. The methenyl group originated as CO2 before being incorporated into the substrate, which is catalytically reduced by H2 to methylenetetrahydromethanopterin as shown. Eventually the methylene group is further reduced and released as a molecule of methane. The hydride transfer has also been shown to be stereospecific. Given that the substrate is planar the hydride originating from H2 is always added to the pro-R face. In the reverse reaction stereospecificity is maintained and the highlighted hydride is removed.
Sources: en.wikipedia.org
Ansuvimab is a monoclonal antibody therapy that is infused intravenously into people with Ebola virus disease. Ansuvimab is a neutralizing antibody, meaning it binds to a protein on the surface of Ebola virus that is required to infect cells. Specifically, ansuvimab neutralizes infection by binding to a region of the Ebola virus envelope glycoprotein that, in the absence of ansuvimab, would interact with virus's cell receptor protein, Niemann-Pick C1 (NPC1). This "competition" by ansuvimab prevents Ebola virus from binding to NPC1 and "neutralizes" the virus's ability to infect the targeted cell.
Wheeler was awarded the Lab on a Chip Pioneers in Miniaturization Award (2017), an E.W.R. Steacie Fellowship from the Natural Sciences and Engineering Research Council of Canada (NSERC) (2015), a Connaught Foundation McLean Fellowship (2014), the Joseph Black Award from the Royal Society of Chemistry (2012), the Arthur F. Findeis Award from the American Chemical Society (2012), the Young Innovator Award in Analytical Chemistry (2011), and a Sloan Research Fellowship (2009). In January 2024, Wheeler was honored with the Ricardo Aroca Award, recognizing his contributions to analytical chemistry and advancing lab-on-a-chip techniques, particularly through the use of digital microfluidics (DMF), which enables precise manipulation of liquid droplets on electrode arrays. The Award is bestowed upon a scientist living in Canada who has made a notable contribution to the discipline of analytical chemistry while conducting research within the country.
Aminoacyl-tRNA synthetase enzymes consume ATP in the attachment tRNA to amino acids, forming aminoacyl-tRNA complexes. Aminoacyl transferase binds AMP-amino acid to tRNA. The coupling reaction proceeds in two steps: aa + ATP ⟶ aa-AMP + PPi aa-AMP + tRNA ⟶ aa-tRNA + AMP The amino acid is coupled to the penultimate nucleotide at the 3′-end of the tRNA (the A in the sequence CCA) via an ester bond (roll over in illustration). Transporting chemicals out of a cell against a gradient is often associated with ATP hydrolysis. Transport is mediated by ATP binding cassette transporters. The human genome encodes 48 ABC transporters, that are used for exporting drugs, lipids, and other compounds.
DeepMind is known to have trained the program on over 170,000 protein structures from the Protein Data Bank, a public repository of protein sequences and structures. The program uses a form of attention network, a deep learning technique that focuses on having the AI identify parts of a larger problem, then piece it together to obtain the overall solution. The overall training was conducted on processing power between 100 and 200 GPUs.
Affimer proteins were developed initially at the MRC Cancer Cell Unit in Cambridge then across two laboratories at the University of Leeds. Derived from the cysteine protease inhibitor family of cystatins, which function in nature as cysteine protease inhibitors, these 12–14 kDa proteins share the common tertiary structure of an alpha-helix lying on top of an anti-parallel beta-sheet. Affimer proteins display two peptide loops that can all be randomized to bind to desired target proteins, in a similar manner to monoclonal antibodies. Stabilization of the two peptides by the protein scaffold constrains the possible conformations that the peptides can take. This increases the binding affinity and specificity compared to libraries of free peptides, though can limit the target repertoire of Affimers.
Sources: en.wikipedia.org
It is a set of checks performed before or during an HPLC run to confirm the system works as expected. Parameters may include resolution, tailing factor, theoretical plates, and retention time precision. Failure can trigger maintenance, method adjustment, or repeat analysis.
Validation follows a planned protocol that tests accuracy, precision, specificity, linearity, range, detection limits, quantitation limits, and robustness. Results are compared against predefined acceptance criteria. The validation report supports regulatory filing or routine use.
Revalidation may be needed after changes to column chemistry, mobile phase, detection, sample preparation, or instrument type. It can also follow a pattern of out-of-specification results. The scope depends on whether the change affects method performance.
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.