system suitability raises a handful of sensible questions. This page answers them in order, starting with the fundamentals and moving to applications.
This page was last updated on 2025-08-01 and is reviewed periodically as new material appears.
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.
Method validation demonstrates that an analytical procedure is suitable for its intended purpose. Typical validation characteristics include accuracy, precision, specificity, linearity, range, limit of detection, limit of quantitation, and robustness. Regulatory guidance from bodies such as the International Council for Harmonisation and the United States Pharmacopeia outlines expectations, though specific criteria depend on the product and method. System suitability tests are run before sample analysis to confirm resolution, peak symmetry, column efficiency, and injection repeatability. Failure of these checks can invalidate a batch of measurements.
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.
| Parameter | Typical acceptance criterion | Notes |
|---|---|---|
| Resolution | ≥ 1.5 | Baseline separation of adjacent peaks |
| Tailing factor | ≤ 2.0 | Peak symmetry measure |
| Theoretical plates | > 2000 | Column efficiency indicator |
| Injection repeatability | ≤ 2% RSD | Relative standard deviation for replicate injections |
| Linearity | r² ≥ 0.995 | Calibration curve over the working range |
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 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.
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.
Detection in HPLC testing commonly relies on ultraviolet-visible absorbance, fluorescence, refractive index, or mass spectrometry. A diode array detector records full spectra across a wavelength range, which helps identify co-eluting peaks. Mass spectrometry provides mass-to-charge ratios and can confirm molecular identity at low concentrations. The choice of detector depends on analyte structure, required sensitivity, and whether quantitation or identification is the goal. No single detector works for every compound, and method development often compares responses before selecting one.
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.
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.
Detection in HPLC testing commonly relies on ultraviolet-visible absorbance, fluorescence, refractive index, or mass spectrometry. UV detection is widely used because many organic compounds absorb light, but it requires a chromophore. Mass spectrometry provides mass-based identification and high sensitivity for trace analytes. Each detector has trade-offs in selectivity, cost, and compatibility with mobile phases. Quantification typically uses calibration curves prepared from reference standards. Results are reported as concentration, purity, or presence above a limit.
APHL monitors trends in public health laboratory diagnostics, personnel and infrastructure. It uses this data to benchmark against national norms and to define issues of importance to lab practice and policy. APHL also disseminates research findings via issue briefs and communications with federal decision makers, health partners and the laboratory community. Members have access to survey data online, enabling them to leverage this information quickly to identify promising strategies and practices. In an effort to improve laboratory practice, APHL provides free resources, such as tools kits that explain how to: Write a laboratory quality manual Conduct an internal audit Recruit students in STEM fields Deal with laboratory floods In addition to on-demand research and reports, APHL provides continuing education courses to help laboratory scientists keep up with emerging trends, and innovative testing techniques. Training sessions are conducted through conferences, seminars, workshops and online courses.
In the presence of air and various cofactors and enzymes, fatty acids are converted to acetyl-CoA. The pathway is called beta-oxidation. Each cycle of beta-oxidation shortens the fatty acid chain by two carbon atoms and produces one equivalent each of acetyl-CoA, NADH, and FADH2. The acetyl-CoA is metabolized by the citric acid cycle to generate ATP, while the NADH and FADH2 are used by oxidative phosphorylation to generate ATP. Dozens of ATP equivalents are generated by the beta-oxidation of a single long acyl chain. In oxidative phosphorylation, the key control point is the reaction catalyzed by cytochrome c oxidase, which is regulated by the availability of its substrate – the reduced form of cytochrome c. The amount of reduced cytochrome c available is directly related to the amounts of other substrates: 1 2 NADH + cyt c ox + ADP + P i ⇌ 1 2 NAD + + cyt c red + ATP {\displaystyle {\frac {1}{2}}{\ce {NADH}}+{\ce {cyt}}\ {\ce {c_{ox}}}+{\ce {ADP}}+{\ce {P_{i}}}\rightleftharpoons {\frac {1}{2}}{\ce {NAD^+}}+{\ce {cyt}}\ {\ce {c_{red}}}+{\ce {ATP}}}
Once the heterologous protein has been fused with the bacterial cell surface protein, it is exposed to either an enzyme, a cell (expressing a target protein) or an antibody (usually fluorescently tagged), depending on the application of the experiment. The sample is then passed through a beam of light during FACS, in a very narrow stream of fluid so that only one cell can pass at a time, and the fluorescence emitted is detected. Information on the size of the cell can be obtained by the scattering of light and if binding of the heterologous protein with the target protein/cell has occurred, there will be more fluorescence emitted. Bacterial surface display can be used for a variety of applications. These include affinity-based screening, antibody epitope mapping, the identification of peptide substrates, the identification of cell-binding peptides and vaccine generation.
Another use for affinity chromatography is the purification of specific proteins using a gel matrix that is unique to a specific protein. For example, the purification of E. coli β-galactosidase is accomplished by affinity chromatography using p-aminobenyl-1-thio-β-D-galactopyranosyl agarose as the affinity matrix. p-aminobenyl-1-thio-β-D-galactopyranosyl agarose is used as the affinity matrix because it contains a galactopyranosyl group, which serves as a good substrate analog for E. coli β-Galactosidase. This property allows the enzyme to bind to the stationary phase of the affinity matrix and β-Galactosidase is eluted by adding increasing concentrations of salt to the column. Alkaline phosphatase from E. coli can be purified using a DEAE-Cellulose matrix. A. phosphatase has a slight negative charge, allowing it to weakly bind to the positively charged amine groups in the matrix. The enzyme can then be eluted out by adding buffer with higher salt concentrations.
Sources: en.wikipedia.org
Phage display libraries of 109 randomized sequences are used to screen for Affimer proteins that exhibit high-specificity binding to the target protein with binding affinities in the nM range. The ability to direct in vitro screening techniques allows the identification of specific, high affinity Affimers. In vitro screening and development also mean that the target space for Affimers is not limited by the animal immune system. Affimers are generated using recombinant systems, so their generation is more rapid and reproducible compared to the production of polyclonal antibodies. Multimeric forms Affimers have been generated and shown to yield titres in the range of 200–400 mg/L under small-scale culture using bacterial host systems. Multimeric forms of Affimers with the same target specificity provide avidity effects in target binding. Many different tags and fusion proteins, such as fluorophores, single-stranded DNA, His, and c-Myc tags can be conjugated to Affimers. Specific cysteine residues can be introduced to the protein to allow thiol chemistry to uniformly orient Affimers on a solid support eg ELISA plates. This flexible functionalisation of the Affimer molecule allows functionality across multiple applications and assay formats.
Biodiversity informatics deals with the collection and analysis of biodiversity data, such as taxonomic databases, or microbiome data. Examples of such analyses include phylogenetics, niche modelling, species richness mapping, DNA barcoding, or species identification tools. A growing area is also macro-ecology, i.e. the study of how biodiversity is connected to ecology and human impact, such as climate change. The enormous number of published literature makes it virtually impossible for individuals to read every paper, resulting in disjointed sub-fields of research. Literature analysis aims to employ computational and statistical linguistics to mine this growing library of text resources. For example: Abbreviation recognition – identify the long-form and abbreviation of biological terms Named-entity recognition – recognizing biological terms such as gene names Protein–protein interaction – identify which proteins interact with which proteins from text The area of research draws from statistics and computational linguistics.
As of 2020, normal ALP levels were "not well defined", and there tend to be variations by sex and racial background, and by age, with children and adolescents having markedly higher levels. There are many possible explanations for elevated ALP. When the cause is unclear, isoenzyme studies using electrophoresis can confirm the source of the increase. Skelphosphatase (which is localized in osteoblasts and extracellular layers of newly synthesized matrix) is released into circulation by a yet unclear mechanism. Placental alkaline phosphatase is elevated in seminomas and active forms of rickets, as well as in the following diseases and conditions: Biliary obstruction Bone conditions Osteoblastic bone tumors Osteomalacia Osteoporosis Hepatitis Mononucleosis Cirrhosis Acute cholecystitis Myelofibrosis Leukemoid reaction Congestive heart failure Lymphoma Paget's disease Sarcoidosis Hyperthyroidism Hyperparathyroidism Myocardial infarction Cholangitis Ischemic cholangiopathy Pregnancy High doses of estrogens
Sources: en.wikipedia.org
Actin, gamma-enteric smooth muscle is a protein that in humans is encoded by the ACTG2 gene. Actins are highly conserved proteins that are involved in various types of cell motility, and maintenance of the cytoskeleton. In vertebrates, three main groups of actin isoforms, alpha, beta and gamma have been identified. The alpha actins are found in muscle tissues and are a major constituent of the contractile apparatus. The beta and gamma actins co-exist in most cell types as components of the cytoskeleton, and as mediators of internal cell motility. Actin, gamma 2, encoded by this gene, is a smooth muscle actin found in enteric tissues. ACTG2 has been shown to interact with Emerin. Human ACTG2 genome location and ACTG2 gene details page in the UCSC Genome Browser.
Many affected infants also have distinctive abnormalities of the head and facial (craniofacial) area. Many of the physical features associated with the disorder are congenital. In most cases, premature closure of fibrous joints (sagittal sutures) between certain bones (parietal bones) of the skull may restrict lateral growth of the skull, causing it to appear abnormally long and narrow that is disproportionate to the body size. In addition, the forehead may be abnormally prominent and the face may be triangular shaped with a hypo plastic mid face, pointed chin. Infants with this disorder may also have abnormally flat cheeks and cheekbones, large ears, prominent mouth with widely spread lips, and or underdeveloped upper jaw bones (maxillary hypoplasia). In addition, in some cases, the teeth may be abnormally crowded together, particularly toward the front of the mouth (anterior crowding) and as a result, the upper result, the upper jaw and lower teeth may not meet properly, they might be abnormally crowded together.
Amyloidosis has a combined estimated prevalence of 30 per 100,000 persons with the three most common forms being AL, ATTR, and AA. The median age at diagnosis is 64. AL has the highest incidence at approximately 12 cases per million persons per year and an estimated prevalence of 30,000 to 45,000 cases in the US and European Union. AA amyloidoses is the most common form in developing countries and can complicate longstanding infections with tuberculosis, osteomyelitis, and bronchiectasis. AA amyloidosis is caused by an increase in extracellular deposition of serum amyloid A (SAA) protein. SAA protein levels can rise in both direct and indirect manners, through infection, inflammation, and malignancies. The most common causes of AA amyloidosis in the West are rheumatoid arthritis, inflammatory bowel disease, psoriasis, and familial Mediterranean fever. People undergoing long-term hemodialysis (14–15 years) can develop amyloidosis from accumulation of light chains of the HLA 1 complex which is normally filtered out by the kidneys. Wild-type transthyretin (ATTR) amyloidosis is found in a quarter of elderly at postmortem. ATTR is found in 13–19% of people experiencing heart failure with preserved ejection fraction, making it a very common form of systemic amyloidosis.
Secretases are enzymes that "snip" pieces off a longer protein that is embedded in the cell membrane. Among other roles in the cell, secretases act on the amyloid-beta precursor protein (APP) to cleave the protein into three fragments. Sequential cleavage by beta-secretase 1 (BACE) and gamma-secretase (γ-secretase) produces the amyloid-beta peptide fragment that aggregates into clumps called amyloid plaques in the brains affected by Alzheimer's disease. If alpha-secretase (α-secretase) acts on APP first instead of BACE, no amyloid beta is formed because α-secretase recognizes a target protein sequence closer to the cell surface than BACE. The non-pathogenic middle fragment formed by an α/γ cleavage sequence is called P3. The structure of the three secretases varies widely.
Sources: en.wikipedia.org
Method validation is the documented process of confirming that an HPLC procedure is suitable for its intended use. It evaluates accuracy, precision, specificity, linearity, range, detection limits, and robustness. Validation criteria depend on the regulatory context and the sample type.
System suitability tests are short checks performed before or during an HPLC run to verify instrument and method performance. They often include resolution, tailing factor, theoretical plates, and injection precision. Results must meet predefined limits for sample data to be accepted.
HPLC retention time alone cannot definitively identify an unknown substance. A match with a reference standard under identical conditions provides supporting evidence. Confirmation typically requires mass spectrometry, nuclear magnetic resonance, or another orthogonal technique.
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.