This is a working overview of certificate of analysis, written for readers who want more than a one-paragraph summary but less than a textbook.
This page was last updated on 2025-10-03 and is reviewed periodically as new material appears.
Reported purity values can differ between laboratories even for the same sample. Variations arise from column chemistry, mobile-phase composition, gradient slope, detection wavelength, injection load, and integration rules. Area percent also assumes that all species have similar response factors, which is not always true. Method validation examines specificity, linearity, accuracy, precision, limit of detection, and limit of quantitation. When comparing certificates, the method description and representative chromatogram are as important as the headline percentage.
Purity and potency are related but distinct concepts in peptide testing. Purity describes the proportion of the main peptide relative to other detected substances, while potency refers to the biological or functional activity of a defined amount. A highly pure peptide can still have low potency if it is misfolded, aggregated, or chemically modified at a critical residue. Conversely, a less pure preparation may retain high activity if the impurities are inactive. Clear reporting separates these attributes and states the assay used for each.
Other methods address specific purity concerns. Amino acid analysis gives compositional data after hydrolysis, while capillary electrophoresis separates by charge-to-mass ratio. Karl Fischer titration measures residual water, and gas chromatography can detect residual solvents. Nuclear magnetic resonance can identify organic impurities but is less sensitive for trace levels. No single test covers all possible impurities, so purity testing usually combines orthogonal methods and reports the conditions used. The choice of methods is guided by the impurity classes of interest.
Reverse-phase high-performance liquid chromatography (RP-HPLC) is widely used to estimate peptide purity. It separates components by hydrophobicity on a column with a water-organic mobile phase. Ultraviolet absorbance at 214 nm or 220 nm detects peptide bonds. The main peak area as a percentage of total peak area gives a purity figure. This figure depends on column, gradient, wavelength, and how peaks are integrated, so it is method-specific rather than absolute.
| Property | Value | Notes |
|---|---|---|
| Typical purity specification | 95% or 98% area by RP-HPLC | Grade and application dependent |
| Common identity test | Electrospray ionization mass spectrometry | Confirms molecular mass |
| Typical water content method | Karl Fischer titration | Reports residual moisture |
| Common counterion test | Ion chromatography | Detects trifluoroacetate or acetate |
| Typical validation elements | Specificity, linearity, precision, accuracy | Follows method-validation guidance |
AS9100 Revision C (2009), Quality Management System – Requirements for Aviation, Space and Defense Organizations The update of AS9100 from revision B to C is largely to address the following question: "Our supplier is repeatedly late on delivery and failing to meet our requirements, how is it possible that they still have their AS9100 certificate?" That is, the AS9100C changes are driven by repeated delivery of non-conforming product and repeated late delivery by organizations that held AS9100A/B certifications. Those organizations had documented controls that conformed to the standard, however, there were insufficient processes in place to assure effectiveness of those controls. The response in this AS9100 revision is to elevate the requirements for Risk Management and to make Risk Management an integrated theme throughout the standard. A major challenge to AS9100B-compliant organizations was the new AS9100 auditing standards defined in AS9101 Revision D, which eliminates the clause-based compliance checklist and requires organizations to provide evidence of effectiveness of their systems and processes. Summary of changes between AS9100B and AS9100C:
The 2025 Cleveland Guardians season was the 125th season for the franchise, which competes in the American League of Major League Baseball (MLB). On July 6, they were 15.5 games back of the first place Detroit Tigers and were as many as 11 games back on September 4. However, the Guardians surged while the Tigers collapsed and took the American League Central lead on September 23 with a win over the Tigers. With the Guardians having trailed Detroit by 15.5 games in July, this ranked as the largest divisional comeback in MLB history. In addition to the historic division comeback, the Guardians also became the fifth team to make the playoffs while being sub-.500 on September 4 or later. On September 27, with a walk-off win over the Texas Rangers, the Guardians clinched a postseason berth, taking the sixth and final postseason spot in the American League. On September 28, with the Tigers' loss to the Red Sox, the Guardians clinched the American League Central division for the second consecutive time and the sixth time in ten years (2016–2018, 2022, 2024–2025). However, they lost to the Tigers in the Wild Card Series.
There are numerous theories as to the exact cause and mechanism in type 2 diabetes. Central obesity is known to predispose individuals for insulin resistance. Abdominal fat is especially active hormonally, secreting a group of hormones called adipokines that may possibly impair glucose tolerance. But adiponectin, an anti-inflammatory adipokine, which is found in lower concentration in obese and diabetic individuals has shown to be beneficial and protective in type 2 diabetes mellitus (T2DM). Insulin resistance is a major feature of diabetes mellitus type 2, and central obesity is correlated with both insulin resistance and T2DM itself. Increased adiposity (obesity) raises serum resistin levels, which in turn directly correlate to insulin resistance. Studies have also confirmed a direct correlation between resistin levels and T2DM. And it is waistline adipose tissue (central obesity) which seems to be the foremost type of fat deposits contributing to rising levels of serum resistin. Conversely, serum resistin levels have been found to decline with decreased adiposity following medical treatment.
A number of AlphaFold clones have also been published, mostly with permissive license terms. Clones for AlphaFold3 include ByteDance's Protenix (Apache 2.0 License), AlQuraishi Laboratory's OpenFold-3 (MIT license), and Boltz-1/2 (MIT license). There are also clones for older versions, though they became less relevant with the open-source release of AlphaFold 1 and 2 source codes. Still relevant are models, both open- and closed-source, that include modifications to the AlphaFold architecture. For AlphaFold 2, a notable example is ESMFold from Meta, which replaces the multiple sequence alignment with the latent space of a protein language model. Open-source tools that complement AlphaFold have also been made. One well-cited example is ColabFold, which uses MMseqs2 instead of HHblits to speed up the sequence search, allowing the AlphaFold pipelines to run quickly on Google Colab.
This 1686-amino acid protein belongs to the ADAMTS family and is one of 19 members known in humans. It is a large, multi-domain enzyme that undergoes extensive post-translational modifications, including N- and O-linked glycosylation, chondroitin sulfate attachment, and potential C-mannosylation and O-fucosylation of the thrombospondin (TSP) type 1 domains. The domain structure from the N-terminus to the C-terminus consists of:
Sources: en.wikipedia.org
Amitabha Chattopadhyay is an Indian scientist working in the areas of membrane and receptor biology and biophysics . He is presently a CSIR Bhatnagar Fellow at the Center for Cellular and Molecular Biology and served as the founding dean of biological sciences at the Academy of Scientific and Innovative Research (AcSIR). In addition, he is a distinguished visiting professor at the Indian Institute of Technology Bombay, adjunct professor at the Jawaharlal Nehru University (New Delhi), Tata Institute of Fundamental Research, Indian Institute of Science Education and Research (Kolkata), Swinburne University of Technology (Australia), and honorary professor at the Jawaharlal Nehru Centre for Advanced Scientific Research (Bangalore). He was elected a Fellow of the Royal Society of Chemistry in 2013 and Royal Society of Biology in 2017. Chattopadhyay has authored more than 300 research papers and has an h-index of 65. In 2016, Chattopadhyay won The World Academy of Sciences in Biology for his seminal contribution in understanding the role of membrane cholesterol in the organization and function in healthy and diseased conditions.
The European Aviation Safety Agency (EASA) is tasked by Article 15(4) of Regulation (EC) No 216/2008 of the European Parliament and of the Council of February 20, 2008, to provide an annual review of aviation safety. The Annual Safety Review presents statistics on European and worldwide civil aviation safety. Statistics are grouped according to type of operation, for instance, commercial air transport, and aircraft category, such as aeroplanes, helicopters, gliders, etc. The Agency has access to accident and statistical information collected by the International Civil Aviation Organization (ICAO). States are required, according to ICAO Annex 13, on Aircraft Accident and Incident Investigation, to report to ICAO information, on accidents and serious incidents to aircraft with a maximum certificated take-off mass (MTOM) over 2250 kg. Therefore, most statistics in this review concern aircraft above this mass. In addition to the ICAO data, a request was made to the EASA Member States to obtain light aircraft accident data. Furthermore, data on the operation of aircraft for commercial air transport were obtained from both ICAO and the NLR Air Transport Safety Institute.
In collaboration with the Academic Medical Center in Amsterdam, Inreda Diabetic B.V. has developed a closed loop system with insulin and glucagon. The initiator, Robin Koops, started to develop the device in 2004 and ran the first tests on himself. In October 2016 Inreda Diabetic B.V. got the ISO 13485 license, a first requirement to produce its artificial pancreas. The product itself is called Inreda AP, and soon made some highly successful trials. After clinical trials, it received the CE marking, noting that it complies with European regulation, in February 2020. In October 2020 the health insurance company Menzis and Inreda Diabetic then started a pilot with 100 patients insured by Menzis. These are all patients that face very serious trouble in regulating their blood glucose levels. They now use the Inreda AP instead of the traditional treatment. Another large scale trial with the Inreda AP was set up in July 2021, and should determine whether Dutch health insurance should cover the device for all their insured. A smaller improved version of the Inreda AP is scheduled for release in 2023.
the cAMP signal pathway and the phosphatidylinositol signal pathway. When a ligand binds to the GPCR it causes a conformational change in the GPCR, which allows it to act as a guanine nucleotide exchange factor (GEF). The GPCR can then activate an associated G protein by exchanging the GDP bound to the G protein for a GTP. The G protein's α subunit, together with the bound GTP, can then dissociate from the β and γ subunits to further affect intracellular signaling proteins or target functional proteins directly depending on the α subunit type (Gαs, Gαi/o, Gαq/11, Gα12/13). GPCRs are an important drug target, and approximately 34% of all Food and Drug Administration (FDA) approved drugs target 108 members of this family. The global sales volume for these drugs is estimated to be 180 billion US dollars as of 2018. It is estimated that GPCRs are targets for about 50% of drugs currently on the market, mainly due to their involvement in signaling pathways related to many diseases i.e. mental, metabolic including endocrinological disorders, immunological including viral infections, cardiovascular, inflammatory, senses disorders, and cancer. The long ago discovered association between GPCRs and many endogenous and exogenous substances, resulting in e.g. analgesia, is another dynamically developing field of the pharmaceutical research.
Arginylglycylaspartic acid (RGD) is the most common peptide motif responsible for cell adhesion to the extracellular matrix (ECM), found in species ranging from Drosophila to humans. Cell adhesion proteins called integrins recognize and bind to this sequence, which is found within many matrix proteins, including fibronectin, fibrinogen, vitronectin, osteopontin, and several other adhesive extracellular matrix proteins. The discovery of RGD and elucidation of how RGD binds to integrins has led to the development of a number of drugs and diagnostics, while the peptide itself is used ubiquitously in bioengineering. Depending on the application and the integrin targeted, RGD can be chemically modified or replaced by a similar peptide which promotes cell adhesion.
Sources: en.wikipedia.org
Purity percentages vary because each laboratory uses its own column, mobile phase, gradient, detection wavelength, and integration settings. A 95% value from one method may not equal 95% from another method. Comparative assessment requires the same validated procedure or an orthogonal cross-check.
A useful certificate of analysis states the peptide sequence, lot number, test methods, acceptance criteria, and measured results. It typically reports HPLC purity, mass spectrometry identity, water content, counterion content, and residual solvents when relevant. The document should also include a chromatogram and the date of testing.
Higher HPLC purity reduces the relative amount of ultraviolet-detectable impurities, but it does not guarantee correct sequence, stereochemistry, or biological activity. Some impurities may be invisible to the chosen method, and aggregates or counterions may still be present. Fitness for purpose depends on the intended application and the full set of tests.
It usually refers to the relative area of the main peak in a chromatographic separation, such as RP-HPLC. It estimates the proportion of UV-absorbing material in that peak, not the absolute mass fraction of the target peptide. Different methods can give different percentages.