The short version of quality control fits in a sentence. The long version — which is the one that helps — is below.
This page was last updated on 2026-03-30 and is reviewed periodically as new material appears.
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.
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.
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.
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.
| 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 |
HPLC testing separates dissolved compounds by passing a liquid sample through a column packed with stationary phase. A pump delivers mobile phase at controlled flow, and the sample components interact differently with stationary and mobile phases. Compounds that spend more time in mobile phase elute earlier; those retained by stationary phase elute later. Detectors record elution as peaks, and peak area or height relates to amount. This mechanism underpins quantitative analysis of mixtures.
Most routine HPLC testing uses reversed-phase columns, where the stationary phase is nonpolar and the mobile phase is a polar mixture such as water with an organic solvent. Analytes partition between the two phases according to polarity, size, and charge. Gradients that change solvent composition over time can separate compounds with broad retention ranges. Isocratic conditions keep solvent composition constant and suit simpler mixtures. The choice of column chemistry, pH, and temperature affects selectivity and peak shape.
Quality control for HPLC testing combines scheduled checks, documented procedures, and review of results. Before sample analysis, system suitability testing confirms that the instrument, column, and method meet predefined criteria. Common criteria include resolution between critical peaks, retention time precision, peak tailing, and theoretical plate count. Failure triggers investigation before results are reported. Records link raw data, calculations, instrument logs, and analyst identity to each batch, supporting audits and repeat analysis.
Method validation evaluates accuracy, precision, specificity, linearity, range, detection limit, quantitation limit, and robustness. Regulatory guidance for pharmaceuticals, foods, and environmental testing defines expected documentation and acceptance criteria. Verification confirms that a validated method works in a specific laboratory with its own instruments and reagents. Calibration curves use reference standards with known purity and traceability, while measurement uncertainty is estimated from validation data, control charts, and collaborative studies. The scope of validation depends on the method's intended use.
Routine quality control monitors retention time shifts, baseline noise, system pressure, and peak shape. Trends can reveal column aging, mobile phase preparation errors, detector drift, or sample degradation. Corrective actions may include replacing the column, preparing fresh mobile phase, or recalibrating the detector. Stability testing often uses HPLC to measure parent compound loss and degradation product formation. Open questions remain about how accelerated stability results extrapolate to long-term storage under varied conditions.
In May 2023, the FDA approved the iLet Bionic Pancreas system for people with Type 1 diabetes of six years and older. The device uses a closed-loop system to deliver both insulin and glucagon in response to sensed blood glucose levels. The 4th generation iLet prototype, presented in 2017, is around the size of an iPhone, with a touchscreen interface. It contains two chambers for both insulin and glucagon, and the device is configurable for use with only one hormone, or both. A 440-patient study of type I diabetes ran in 2020 and 2021 using a device configuration that delivered only insulin in comparison to standard of care; device use led to better circulating glucose control (measured by continuous monitoring) and a reduction in glycated hemoglobin (versus no change for the standard of care group). However, the incidence of severe hypoglycemic events was more than 1.5 times higher among device users versus standard care patients. There are several non-commercial, non-FDA approved DIY options, using open source code, including OpenAPS, Loop, and/or AndroidAPS.
Macrophages can be stimulated by T cell secretion of interferon. After this activation, macrophages are able to express MHC class II and co-stimulatory molecules, including the B7 complex and can present phagocytosed peptide fragments to helper T cells. Activation can assist pathogen-infected macrophages in clearing the infection. Deriving from monocytes, a type of white blood cell, they will circulate in the blood and enter affected sites and differentiate from monocytes to macrophages. At the affected site, the macrophage surrounds the site of infection or tissue damage with its membrane in a mechanism called phagocytosis.
Even with all the precautions taken by medical professionals, infection reportedly occurs in up to 13.9% of patients after stabilization of an open fracture, and in about 0.5-2% of patients who receive joint prostheses. To reduce these numbers, the surfaces of the devices used in these procedures have been altered in hopes of preventing the growth of the bacteria that leads to these infections. This has been achieved by coating titanium devices with an antiseptic combination of chlorhexidine and chloroxylenol. This antiseptic combination successfully prevents the growth of the five main organisms that cause medical-related infections, which include Staphylococcus epidermidis, Methicillin-resistant Staphylococcus aureus, Pseudomonas aeruginosa, Escherichia coli and Candida albicans. Peptide-based gel coating with intrinsic antibacterial activity against Methicillin-resistant Staphylococcus aureus, was also shown to inhibit colonization of titanium implants in mice.
Automated synthesis systems are laboratory robots that combine of software and hardware. As synthesis is a linear combination of steps, the individual steps can be modularized into hardware that accomplishes the specific step (mixing, heating or cooling, product analysis, etc.). Such hardware includes robotic arms that use dispensers and grippers to transfer materials and shakers that adjust the stirring speed and cartesian coordinate system robots that operate on a X Y Z axis and can move items and perform synthesis within designated bounds. Conditions of reactions (atmosphere, temperature, pressure) are controlled with the help of peripherals like: gas cylinders, vacuum pump, reflux system and cryostat. Modular platforms use a variety of tools in order to perform all the unit operations needed in synthesis. There are many commercial modular hardware solutions available to execute synthesis. New software programs are available that can compile an automated synthesis procedure in executable code directly from existing literature. There are also software programs that can retro-synthetically generate a procedure at the level of proficiency of a graduate student.
Sources: en.wikipedia.org
Alexandra C. Newton is a Canadian and American biochemist. She is a Distinguished Professor of pharmacology at the University of California, San Diego. Newton runs a multidisciplinary Protein kinase C and Cell signaling biochemistry and cell biology research group in the School of Medicine, investigating molecular mechanisms of signal transduction in the Phospholipase C (PLC) and Phosphoinositide 3-kinase (PI3 kinase, or PI3-K) signaling pathways. She has been continuously funded by the US National Institutes of Health since 1988. Newton was born in Cape Town, South Africa, and was schooled in Vancouver, Athens, and Aix-en-Provence. She graduated in 1980 from the Simon Fraser University in Canada, where she was awarded a 1st-class honours degree in biochemistry and French literature. She received her PhD in chemistry in 1986 from Stanford University, working with Wray H. Huestis on a thesis examining band 3, a red cell membrane protein.
The Australian Radiation Protection and Nuclear Safety Agency (ARPANSA) is a regulatory agency under the Commonwealth of Australia that aims to protect Australian citizens from both ionising and non-ionising radiation. ARPANSA works under the guidance of the Australian Radiation Protection and Nuclear Safety Act of 1998 as the national regulatory body of radiation in Australia, with independent departments within each state and territory that regulate radiation within each of their jurisdictions. The Australian Radiation Protection and Nuclear Safety (ARPANS) Bill 1998 was passed by the Australian House of Representatives in May 1998, however Parliament was prorogued for the Federal Election (held 3 October 1998) before the Bill could be considered by the Senate. The Bill was reintroduced into Parliament in November 1998 and passed by both Houses of Parliament on Thursday 10 December 1998. ARPANSA's responsibilities include:
During the 2015 high school football season, Kuper was an offensive line coach at Columbine High School in Littleton, Colorado. On January 23, 2016, Kuper was hired by Miami Dolphins as offensive quality control coach. He then spent two seasons (2017–18) as the assistant offensive line coach for Miami. On January 22, 2019, the Denver Broncos hired Kuper as their assistant offensive line coach. With the firing of Vic Fangio from the Broncos, Kuper was hired by Kevin O'Connell to be the offensive line coach for the Minnesota Vikings. Before the 2026 season, his contract expired and the Vikings chose not to retain him. On February 9, 2026, the Philadelphia Eagles hired Kuper as their new offensive line coach. Eagles offensive coordinator Sean Mannion previously played for the Minnesota Vikings at the end of his playing career, during which Kuper served as the Vikings offensive line coach. UND Football bio Denver Broncos bio Kuper not letting broken right hand block opportunity
Sources: en.wikipedia.org
The polar, uncharged amino acids serine (Ser, S), threonine (Thr, T), asparagine (Asn, N) and glutamine (Gln, Q) readily form hydrogen bonds with water and other amino acids. They do not ionize in normal conditions, a prominent exception being the catalytic serine in serine proteases. This is an example of severe perturbation, and is not characteristic of serine residues in general. Threonine has two chiral centers, not only the L (2S) chiral center at the α-carbon shared by all amino acids apart from achiral glycine, but also (3R) at the β-carbon. The full stereochemical specification is (2S,3R)-L-threonine. Because of the presence of phenolic hydroxyl group with a pKa = ~10, tyrosine is best classified as a neutral polar amino acid, but with amphipathic character that makes it less polar than classical small polar amino acid residues. Nonpolar amino acid interactions are the primary driving force behind the processes that fold proteins into their functional three dimensional structures. None of these amino acids' side chains ionize easily, and therefore do not have pKas.
The first generation uses linking technologies that conjugate drugs non-selectively to cysteine or lysine residues in the antibody, resulting in a heterogeneous mixture. This approach leads to suboptimal safety and efficacy and complicates optimization of the biological, physical and pharmacological properties. Site-specific incorporation of unnatural amino acids generates a site for controlled and stable attachment. This enables the production of homogeneous ADCs with the antibody precisely linked to the drug and controlled ratios of antibody to drug, allowing the selection of a best-in-class ADC. An Escherichia coli-based open cell-free synthesis (OCFS) allows the synthesis of proteins containing site-specifically incorporated non-natural amino acids and has been optimized for predictable high-yield protein synthesis and folding. The absence of a cell wall allows the addition of non-natural factors to the system to manipulate transcription, translation and folding to provide precise protein expression modulation.
The terms "active" and "passive" are simple but important terms in the world of automotive safety. "Active safety" is used to refer to technology assisting in the prevention of a crash and "passive safety" to components of the vehicle (primarily airbags, seatbelts and the physical structure of the vehicle) that help to protect occupants during a crash. Crash avoidance systems and devices help the driver — and, increasingly, help the vehicle itself — to avoid a collision. This category includes: The vehicle's headlamps, reflectors, and other lights and signals The vehicle's mirrors The vehicle's brakes, steering, and suspension systems A subset of crash avoidance is driver assistance systems, which help the driver to detect obstacles and to control the vehicle. Driver assistance systems include:
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.
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.