Fact-checked by Grok 2 weeks ago

Analyte

An analyte is the component of a system to be analyzed.^[1] In analytical chemistry, an analyte refers to the specific substance or chemical species within a sample whose identity, concentration, or quantity is determined through measurement of its chemical or physical properties.^[2] This process, known as chemical analysis, provides essential information about the sample's composition and is fundamental to fields such as environmental monitoring, pharmaceutical development, clinical diagnostics, and materials science. The analyte is typically present in a complex matrix—the rest of the sample material—that can potentially interfere with detection and requires careful separation or calibration techniques to ensure accurate results.^[3] Analytes encompass a wide range of chemical entities, including ions, molecules, complexes, elements, and biological macromolecules such as proteins or nucleic acids.^[4] Quantitative analysis of analytes often involves techniques like chromatography, spectroscopy, and electrochemistry, where the signal generated by the analyte is compared to standards for precise measurement.^[2] In qualitative analysis, the focus is on identifying the analyte's presence, while detection limits define the smallest detectable amount, critical for trace-level applications like pollutant detection or drug testing.^[5] The choice of analytical method depends on the analyte's properties, matrix complexity, and required sensitivity, ensuring reliable data for scientific and industrial decision-making.^[3]

Definition and Basic Concepts

Definition

In analytical chemistry, an analyte is defined as the specific substance, chemical constituent, ion, molecule, or species that is the primary focus of measurement or identification within a sample during an analytical procedure.^[1] This term refers to the component of a system sought or determined in a test portion, distinguishing it as the target entity whose properties—such as identity, concentration, or structure—are evaluated through chemical or physical means.^[6] The analyte must possess characteristics that allow it to be selectively detected or quantified amid other sample components, relying on its unique spectroscopic, electrochemical, or other measurable attributes.^[7] The term "analyte" originated in the mid-20th century, with its earliest documented use appearing in 1955 in scientific literature by C. M. Crawford.^[8] Etymologically derived from "analysis" or "analyze" combined with the suffix "-lyte," it emerged as a standardized nomenclature within analytical chemistry to encapsulate the object of analysis.^[8] This development built upon earlier, more specialized concepts, such as "titrand," which denoted the substance whose quantity or concentration was determined in titration processes.^[9] By the late 1950s, "analyte" had become the preferred term in broader analytical contexts, reflecting the field's evolution toward more general and automated methodologies.^[6]

Role in Analytical Chemistry

In analytical chemistry, analytes serve as the central focus of the investigative process, driving the objectives of analysis by necessitating the determination of their identity, concentration, or structural properties to support informed decision-making across diverse domains such as scientific research, clinical diagnostics, and regulatory compliance. For instance, quantifying trace contaminants in environmental samples ensures adherence to safety standards, while measuring biomarkers in biological fluids aids in disease diagnosis and treatment monitoring. This pivotal role underscores how analytes define the scope and success of an analytical endeavor, transforming raw sample data into actionable insights that address real-world problems.^[7]^[10] Within analytical workflows, analytes are deliberately selected based on the specific question posed by the investigation, with their inherent chemical and physical properties guiding the entire sequence of steps from sample collection and preparation to final detection and interpretation. The choice of approach—whether emphasizing qualitative identification or quantitative measurement—hinges on factors like the analyte's solubility, volatility, or spectral characteristics, ensuring compatibility and optimal performance throughout the process. This integration highlights the analyte's influence on method development, where mismatches between analyte traits and procedural elements can compromise reliability, thereby emphasizing the need for tailored strategies to achieve precise outcomes.^[10]^[7] Despite their centrality, analytes often present significant challenges that can complicate analysis, including issues of stability, reactivity, and low abundance, which demand specialized handling protocols to maintain integrity and detectability. Analyte stability may be undermined by enzymatic degradation or pH-induced changes during storage or processing, potentially altering concentrations before measurement. Reactivity poses further hurdles, as analytes can undergo metabolic transformations or interactions with matrix components, such as sulfonation or glucuronidation in biological samples, leading to the formation of unintended derivatives that evade detection. Low abundance, particularly at trace levels in complex matrices, exacerbates sensitivity demands, requiring preconcentration or enhanced detection limits to avoid false negatives and ensure accurate quantification.^[11]^[12]

Distinction from Matrix

In analytical chemistry, the analyte is defined as the specific component of a sample that is the target of measurement or identification.^[1] This distinguishes it from the matrix, which encompasses all other constituents in the sample, including solvents, salts, buffers, and complex biological or environmental materials that surround the analyte.^[13] The matrix serves as the background medium in which the analyte exists, potentially influencing the analytical process through its physical and chemical properties.^[14] The distinction between analyte and matrix is fundamental because matrix components can act as interferents, which are specific substances that systematically alter the measurement signal for the analyte.^[14] Interferents are categorized into chemical types, where matrix species react similarly to the analyte or form complexes that mimic or compete with it, and physical types, which indirectly modify analytical conditions such as viscosity, pH, or ionization efficiency./6:_Atomic_Spectroscopy/6.4:_Other_Considerations/6.4B:_Accounting_for_Matrix_Effects) These interactions lead to matrix effects, defined as the combined influence of all non-analyte sample components on the measurement, often resulting in signal suppression (reduced response) or enhancement (amplified response) during detection.^[14] For instance, in a biological sample, proteins or lipids in the matrix may ion-suppress the analyte's signal in mass spectrometry, while salts could enhance ionization in certain electrochemical methods.^[15] Understanding this analyte-matrix distinction is essential for method validation in analytical chemistry, as it ensures the reliability of results by identifying and quantifying potential biases introduced by interferents.^[16] Without accounting for matrix effects, analyses may yield inaccurate concentrations or false identifications, compromising the precision and trueness required for quantitative determinations.^[15] This separation of concepts guides the selection of appropriate calibration strategies and helps maintain analytical specificity across diverse sample types.^[17]

Classifications

By Chemical Nature

Analytes in analytical chemistry are classified by their chemical nature into organic, inorganic, and biological categories, which influences the selection criteria for analytical procedures based on molecular composition and structural properties.^[18] Organic analytes consist of carbon-based compounds, encompassing a wide range of molecules such as hydrocarbons, proteins, drugs, and carbohydrates. These substances are characterized by covalent bonds involving carbon atoms, often forming complex chains or rings, which dictate their solubility in organic solvents and reactivity in analytical contexts. Representative examples include glucose, a simple sugar monitored in blood samples for metabolic assessment, and pesticides like organochlorines detected in soil to evaluate environmental contamination.^[18] Inorganic analytes, in contrast, comprise non-carbon species, including metals, ions, and salts that typically feature ionic or metallic bonding. These analytes are prevalent in environmental and industrial samples, with examples such as lead, a heavy metal associated with toxicity in water sources, and nitrate ions, which are key indicators of nutrient pollution in aquatic systems. Inorganic analytes are often analyzed via spectroscopy due to their distinct atomic emission or absorption spectra.^[18]^[19] Biological analytes refer to biomolecules derived from living organisms, such as DNA, enzymes, and hormones, which exhibit high structural complexity and functional specificity. These macromolecules or large molecules require analytical approaches that account for their sensitivity to denaturation and the need for high selectivity to distinguish them from similar biological matrices. For instance, insulin, a peptide hormone, is quantified in clinical samples to manage diabetes, highlighting the precision demanded by their intricate three-dimensional structures.^[18]^[20]

By Sample Type

Analytes are classified by the type of sample in which they occur, which determines the associated matrix—the components of the sample other than the analyte itself—and influences the preparation strategies needed for accurate detection.^[13] In biological samples, such as tissues, blood, or urine, analytes often consist of endogenous biomolecules or exogenous compounds like drugs and metabolites. For instance, cholesterol serves as a key analyte in serum, where it exists primarily as esters that must be hydrolyzed enzymatically or via saponification to enable total quantification, using as little as 15 μL of serum from a 0.5 mL blood draw. These complex, heterogeneous matrices demand gentle extraction techniques, such as solid-phase microextraction or enzyme-based methods, to avoid degradation and maintain analyte integrity during processing.^[21]^[22] Environmental samples, including water, air, or soil, feature analytes like heavy metals in wastewater, where elements such as cadmium, lead, and chromium are monitored to assess pollution levels. These samples are typically heterogeneous and affected by natural variability, such as seasonal changes or geological influences, necessitating robust preconcentration steps like liquid-liquid extraction prior to analysis.^[23]^[24] Industrial samples, derived from products or manufacturing processes, commonly involve analytes like impurities in pharmaceuticals, including residual solvents, elemental contaminants, or mutagenic byproducts in active pharmaceutical ingredients. These matrices are often controlled and homogeneous due to standardized production conditions, allowing for streamlined preparation such as headspace sampling or direct dissolution to ensure compliance with regulatory limits.^[25]

By Concentration Levels

Analytes in analytical chemistry are categorized by their concentration levels within a sample, a classification that determines the sensitivity and complexity of detection methods required. This grouping—major, minor, trace, and ultra-trace—reflects the abundance of the analyte relative to the total sample mass, guiding the selection of appropriate instrumentation and preparation techniques to achieve reliable measurements.^[3]^[26] Major analytes are those present at high concentrations, typically exceeding 1% by mass (or >10,000 ppm), comprising a significant portion of the sample. For instance, water in hydrated biological samples often constitutes over 70% of the total mass, allowing straightforward detection with basic gravimetric or volumetric methods that do not require enhancement for sensitivity.^[3]^[26]^[27] These analytes pose minimal challenges from matrix interferences due to their dominance, enabling total analysis approaches with macro-scale samples. Minor analytes occur at intermediate levels, ranging from 0.01% to 1% by mass (100 to 10,000 ppm), where more precise instrumentation is needed to distinguish them from the sample matrix. An example is vitamins in food matrices, such as vitamin C at concentrations around 500 ppm in fruits like oranges, necessitating moderately sensitive techniques like spectrophotometry to quantify accurately without extensive preconcentration.^[3]^[26]^[28] At these levels, relative standard deviations in measurements may reach 10-20%, but standard laboratory procedures suffice for reliable results. Trace analytes are found at lower abundances, from 1 ppb to 100 ppm (10^{-7}% to 0.01% by mass), demanding high-sensitivity instruments to overcome background noise and achieve detection limits in this range. These levels introduce greater variability, with potential errors up to 50% relative standard deviation, particularly at the lower end.^[3]^[26] Ultra-trace analytes exist at the lowest concentrations, below 1 ppb (<10^{-7}% by mass, often reaching parts per trillion or ppt), requiring advanced preconcentration steps and highly selective detectors to isolate and measure them amid potential contamination risks. For example, certain hormones like estrogens in human plasma occur at low ppt levels (e.g., ~10-100 pg/mL), where interlaboratory variability can exceed 100% without rigorous controls, emphasizing the need for cleanroom protocols and isotopic dilution methods.^[3]^[26]^[29] This classification underscores how analyte concentration drives the overall analytical strategy, from sample handling to data interpretation.

Analytical Techniques

Qualitative Methods

Qualitative methods in analytical chemistry focus on confirming the presence and identity of an analyte by leveraging its distinctive physical or chemical properties, such as color development, spectral emission, or selective reactivity, without measuring concentration levels. These techniques rely on observable changes, like the formation of precipitates, gas evolution, or fluorescence, to indicate the analyte's identity in a sample. This approach is foundational in classical analytical procedures, where the goal is detection rather than measurement, often serving as a preliminary step before more advanced analysis.^[30] Common qualitative methods include colorimetry, where reagents induce characteristic color changes specific to the analyte; for instance, the addition of certain indicators can produce vivid hues confirming metal ions or organic compounds. Flame tests exemplify this principle for inorganic analytes, particularly metals, by heating the sample in a flame to produce unique emission colors—such as the crimson red for lithium or green for copper—arising from atomic excitation. Chromatography aids identification through separation-based techniques, where the retention time or retention factor (Rf) of an analyte matches known standards, allowing confirmation in mixtures without quantification. For biological analytes, immunoassays exploit antigen-antibody binding specificity, often visualized via color or fluorescence signals to detect proteins, hormones, or pathogens in samples like blood or tissue.^[30]^[31]^[32]^[33] These methods offer advantages in rapidity and cost-effectiveness, enabling quick screening in field or laboratory settings with minimal equipment, as seen in classical schemes like those in Vogel's qualitative inorganic analysis. However, limitations arise in complex matrices, where interfering substances can mimic signals or suppress reactivity, reducing specificity and requiring careful sample preparation to distinguish the analyte. Additionally, interpretations can be subjective, relying on visual observation rather than objective metrics, which may lead to false positives or negatives in ambiguous cases.^[30]^[34]

Quantitative Methods

Quantitative methods in analytical chemistry focus on determining the precise concentration or amount of an identified analyte in a sample, typically following qualitative confirmation to ensure the target substance is present.^[35] These approaches rely on the fundamental principle that the measured signal—such as volume, absorbance, or ion intensity—is directly proportional to the analyte's quantity, with calibration against known standards enabling accurate quantification.^[36] This proportionality ensures reliable numerical results, distinguishing quantitative analysis from mere detection.^[37] One classical quantitative method is titration, which involves adding a solution of known concentration (titrant) to the sample until the reaction reaches the equivalence point, where the analyte is stoichiometrically consumed.^[38] For example, acid-base titrations determine acid or base concentrations by monitoring pH changes or using indicators to detect the endpoint, allowing calculation of the analyte amount via stoichiometric ratios.^[39] This technique is widely used for its simplicity and precision in aqueous solutions.^[40] Spectroscopic methods, particularly UV-visible spectroscopy, quantify analytes by measuring light absorption, governed by the Beer-Lambert law:

A = \epsilon l c

where A is the absorbance, \epsilon is the molar absorptivity, l is the path length, and c is the analyte concentration.^[41] This law provides a linear relationship between absorbance and concentration, enabling direct determination of c from measured A after calibration.^[42] It is essential for routine analysis in fields requiring high throughput, such as pharmaceutical quality control.^[43] Mass spectrometry offers precise quantification, especially for complex mixtures, by measuring the mass-to-charge ratio of ionized analytes and relating peak intensities to concentration via calibration.^[44] Techniques like liquid chromatography-mass spectrometry (LC-MS) enhance selectivity, allowing detection limits in the parts-per-billion range for trace analytes.^[37] Its high sensitivity and specificity make it ideal for biomolecules and environmental pollutants.^[45] Calibration is crucial for all quantitative methods to convert signals into concentrations, with external standards involving preparation of known analyte solutions to generate a calibration curve for sample interpolation.^[46] The standard addition method addresses matrix effects by spiking the sample with increasing analyte amounts, extrapolating the original concentration from the linear response to minimize interferences in complex matrices.^[47] This approach improves accuracy when sample composition varies significantly from standards.^[48]

Separation Techniques

Separation techniques in analytical chemistry isolate analytes from complex sample matrices by exploiting differences in their physical and chemical properties, such as solubility, molecular size, charge, and volatility. These methods are essential for purifying samples prior to detection, thereby reducing interferences from the matrix that could otherwise suppress or enhance analytical signals.^[49] Extraction represents a primary class of separation techniques, encompassing both solvent extraction and solid-phase extraction (SPE). In solvent extraction, particularly liquid-liquid extraction, the analyte partitions between two immiscible liquid phases based on solubility differences, governed by the distribution coefficient that quantifies the equilibrium partitioning. This approach effectively removes non-polar interferents from aqueous matrices, as seen in the separation of metal ions using organic solvents like tributyl phosphate in kerosene. Solid-phase extraction, an advancement over traditional solvent methods, employs a solid stationary phase (e.g., silica-based cartridges) to selectively adsorb the analyte from the sample solution, followed by elution with a suitable solvent, offering higher efficiency and reduced solvent use for trace-level isolations.^[50]^[49]^[51] Distillation serves as a key method for volatile analytes, leveraging differences in boiling points or vapor pressures to separate components through selective vaporization and subsequent condensation. This technique is particularly valuable for isolating low-molecular-weight organics or radionuclides like tritium from non-volatile matrices such as water or soil, where the distillate is collected free of involatile residues.^[52]^[49] For charged species, electrophoresis provides precise separation by applying an electric field to drive migration based on the analyte's charge-to-size ratio, with mobility influenced by factors like pH and ionic strength of the buffer. This method isolates ionic analytes, such as proteins or metal complexes, from neutral matrix components in a supporting medium like gel or capillary.^[53]^[49] Chromatography encompasses advanced subtypes tailored to diverse analyte properties, including high-performance liquid chromatography (HPLC) and gas chromatography (GC). HPLC separates non-volatile or thermally labile analytes through differential interactions (e.g., adsorption or partition) between a liquid mobile phase and a stationary phase under high pressure, achieving resolutions for complex mixtures like biomolecules. In contrast, GC utilizes a gaseous mobile phase to separate volatile analytes based on their partitioning into a liquid-coated stationary phase, excelling in the isolation of organic volatiles from gaseous or liquid samples. These chromatographic methods provide high selectivity by retaining interferents while eluting purified analytes.^[54]^[49] Overall, these separation techniques mitigate matrix effects by yielding cleaner analyte fractions, thereby improving the reliability and sensitivity of downstream analytical determinations in fields like environmental and clinical chemistry.^[49]

Applications

Clinical Analysis

In clinical analysis, analytes serve as critical biomarkers in biological fluids such as blood and urine, enabling the diagnosis and monitoring of various diseases. For instance, glucose levels in blood are routinely measured to manage diabetes, while electrolytes like sodium and potassium provide insights into electrolyte imbalances that can indicate conditions such as dehydration or kidney dysfunction.^[55] Cardiac biomarkers, including troponin, are essential for detecting myocardial infarction, with elevated levels in blood signaling acute heart damage and guiding immediate therapeutic interventions.^[56] Techniques for analyte detection in clinical settings often integrate biosensors to facilitate rapid point-of-care testing (POCT), allowing real-time analysis outside traditional laboratories. These devices, such as electrochemical glucose meters, enable minimally invasive sampling from blood or alternative biofluids like sweat, delivering quantitative concentration readouts with high portability.^[55] To ensure reliability, clinical testing must comply with standards set by the Clinical Laboratory Improvement Amendments (CLIA), which mandate proficiency testing, quality control, and accuracy thresholds—typically requiring at least 80% passing scores for most analytes—to minimize diagnostic errors.^[57]^[58] The complexity of biofluids presents significant challenges in clinical analyte analysis, including matrix interferences from proteins and lipids that can compromise detection specificity and lead to false positives.^[59] Achieving high specificity requires advanced sample preparation and selective assays to distinguish target analytes amid this heterogeneity, while minimizing invasiveness—such as through microneedle-based sampling—balances patient comfort with diagnostic precision.^[60] These hurdles underscore the need for ongoing innovations in biosensor design to enhance sensitivity in low-concentration environments without sacrificing speed or accuracy.^[61]

Environmental Monitoring

In environmental monitoring, analyte analysis plays a pivotal role in detecting and quantifying pollutants to assess contamination levels in water, soil, and air, thereby safeguarding ecosystems and public health. Key analytes targeted include persistent organic pollutants such as polychlorinated biphenyls (PCBs), which are monitored in aquatic environments due to their bioaccumulative nature and toxicity. Heavy metals, exemplified by mercury in surface waters, are routinely analyzed for their potential to disrupt aquatic life and enter human food sources. Nutrients like nitrates in agricultural soils are also critical analytes, as elevated levels contribute to eutrophication and groundwater contamination.^[62]^[63]^[64] Field-based techniques, such as portable spectrometers, facilitate rapid on-site testing of these analytes, minimizing sample degradation and enabling immediate decision-making during pollution events. Handheld X-ray fluorescence (XRF) spectrometers, for instance, detect heavy metals like mercury directly in soil or water matrices with detection limits suitable for regulatory thresholds. For long-term monitoring of trace-level analytes, EPA guidelines prescribe standardized methods, including inductively coupled plasma mass spectrometry (ICP-MS) for achieving sub-parts-per-billion sensitivity in environmental samples. These approaches ensure consistent data collection over extended periods to track temporal trends in pollutant concentrations.^[65]^[66]^[67] Prior to analysis, separation techniques are briefly applied to isolate analytes from complex environmental matrices, such as sediment-laden water, enhancing detection accuracy. This monitoring framework underpins compliance with the Clean Water Act, which requires analyte testing in effluent discharges to prevent unlawful pollution of navigable waters. Furthermore, it enables tracking of bioaccumulation, where analytes like mercury and PCBs magnify through food chains—from plankton to predatory fish—informing ecosystem risk assessments and remediation strategies.^[49]^[68]^[69]

Industrial Processes

In industrial processes, analyte monitoring plays a crucial role in ensuring the quality and efficiency of manufacturing operations, particularly through the detection and quantification of key substances such as impurities, catalysts, and product components. Impurities, which can arise from raw materials or reaction byproducts, must be controlled to prevent defects or safety issues in the final product; for instance, residual solvents or elemental contaminants in pharmaceuticals are routinely monitored to comply with regulatory limits. Catalysts, essential for accelerating reactions in sectors like petrochemical refining, require ongoing analysis to assess their activity and degradation, thereby maintaining process stability. Product components, such as ethanol in fuel blends or alloying elements in metals, are tracked to verify composition and performance, with ethanol content in gasoline-ethanol mixtures typically measured to ensure it falls within 20% to 100% by mass for optimal combustion properties.^[70]^[71]^[72] Techniques for analyte monitoring in these contexts emphasize real-time and continuous analysis to support process optimization. Inline sensors, integrated directly into production lines, enable non-invasive measurement of analytes like dissolved gases or volatiles in petrochemical streams, providing immediate data for adjustments without halting operations. Process analytical technology (PAT), a framework promoted by regulatory bodies, facilitates this by combining multivariate data analysis with spectroscopic tools such as near-infrared or Raman spectroscopy to monitor critical process parameters in real time. Validation of these methods adheres to international standards, including ISO 17025 for laboratory competence and ASTM E2857 for demonstrating method performance, ensuring reliability and reproducibility across industrial scales. Quantitative methods underpin this precise control, allowing for accurate determination of analyte concentrations to guide process decisions.^[73]^[74]^[75]^[76] The benefits of such monitoring are substantial, particularly in high-volume sectors like pharmaceuticals and petrochemicals, where it ensures product quality by minimizing variability and defects. By optimizing yields through timely catalyst adjustments or impurity removal, PAT implementations have demonstrated reductions in production costs and cycle times, such as in continuous pharmaceutical manufacturing where real-time feedback prevents batch failures. Additionally, these practices reduce waste by enabling efficient resource use, for example, in metal alloy production where compositional analysis confirms adherence to specifications, avoiding scrap from off-spec materials. Overall, integrating analyte monitoring enhances economic viability and sustainability in industrial operations.^[77]^[78]^[79]

References

[1]
analyte (A00331) - IUPAC Gold Book
The component of a system to be analysed. Source: PAC, 1989, 61, 1657. (Nomenclature for automated and mechanised analysis (Recommendations 1989))Missing: definition | Show results with:definition
[2]
[PDF] Chapter 3
An analysis provides chemical or physi- cal information about a sample. The component of interest in the sample is called the analyte, and the remainder of the ...
[3]
Analyte - Inorganic Ventures
Analyte – substance that is being tested in an analytical procedure. For example, elements present in our products or in a customer's sample would be called ...
[4]
[PDF] 18.4 Performance characteristics of analytical processes - iupac
The preferred term for Analytical Chemistry is analyte, defined as "the element [substance] sought or determined in a test portion...".
[5]
[PDF] Chapter 3
In an analysis we determine the identity, the concentration, or the proper- ties of an analyte. To make this determination we measure one or more of the ...
[6]
ANALYTE Definition & Meaning - Merriam-Webster
noun an· a· lyte ˈa-nə-ˌlīt : a chemical substance that is the subject of chemical analysis Examples of analyte in a Sentence
[7]
Titration Project, Part 1 - Duke Mathematics Department
In a titration, an analyte -- the substance whose quantity or concentration is to be determined -- is reacted with a carefully controlled volume of solution of ...<|separator|>
[8]
[PDF] Chapter 1: The Nature of Analytical Chemistry
Analytes – components of a sample that are to be determined. Analytical chemists use science and technology to solve practical problems. Analytical chemistry ...
[9]
Analytical Chemistry in the 21st Century: Challenges, Solutions, and ...
Another problem concerns the stability of the analytes that can undergo degradation reactions by enzymes, as well as degradation processes linked to pH ...
[10]
http://web.iyte.edu.tr/~serifeyalcin/lectures/chem201/cn_1.pdf
[11]
The Importance of the Sample Matrix | LCGC International
We use “sample matrix” to describe everything that is present in the typical sample except for the analytes of interest.
[12]
matrix effect (M03759) - IUPAC Gold Book
The matrix effect is the combined effect of all sample components other than the analyte on measurement, including chemical and physical effects.
[13]
Full article: Matrix Effects and Application of Matrix Effect Factor
Matrix effects are major concerns in quantitative LC–MS analysis because they detrimentally affect the accuracy, precision and sensitivity of a method.
[14]
Challenges and strategies of matrix effects using chromatography ...
Matrix effects are critical for validation of chromatography-mass spectrometry methods. •. Detailed evaluation of matrix effects for method validation. •.
[15]
[PDF] Chapter 6, Selection and Application of an Analytical Method
This chapter provides guidance to both the project manager and the laboratory on the selection and application of analytical method.<|control11|><|separator|>
[16]
https://www.sciencedirect.com/science/article/abs/pii/S0165993620302971
[17]
[PDF] Chapter Three: Inorganic Analytes
This chapter provides guidance for the analysis of inorganic analytes in a variety of matrices. The analytical methods are written as specific steps in the ...
[18]
A Comprehensive Guide to the 4 Main Types of Analytical Chemistry
Jun 20, 2024 · Bioanalytical chemistry focuses on the analysis of biological samples, including proteins, DNA, RNA, and small molecules. This method combines ...
[19]
https://www.epa.gov/sites/default/files/2015-10/documents/chap3_1.pdf
[20]
Sample Preparation for Bioanalytical and Pharmaceutical Analysis
Oct 25, 2016 · This Feature article will highlight a selection of sample preparation challenges that have significant impact in the life sciences and pharmaceutical industry.
[21]
Method 200.7: Determination of Metals and Trace Elements in Water ...
Apr 21, 2025 · This method for preparation and analysis of drinking water samples to detect and measure compounds containing arsenic, thallium and vanadium.
[22]
[PDF] Analytical Chemistry in Environmental Science: Assessing Pollution ...
Dec 27, 2024 · By analysing samples from air, water and soil, scientists can determine the types and concentrations of pollutants, providing essential data for ...
[23]
None
### Summary of Impurities as Analytes in Pharmaceutical Samples (Controlled Matrices and Preparation)
[24]
[PDF] Chapter 8: Sampling, Standardization, and Calibration
8A Analytical Samples and Methods. Types of Samples and Methods. Quantitative methods are traditionally classified as gravimetric methods,.
[25]
https://www.agilent.com/cs/library/brochures/pharma-impurities-ebook-5994-7168en-agilent.pdf
[26]
Vitamin Analysis, Trace Elements Content, and Their Extractabilities ...
Jan 11, 2020 · This present study aimed at determining the levels of vitamin A, C, E, and beta-carotene and trace element (Fe, Cu, Mn, Co, Se, and Zn) ...
[27]
Analysis of Low PPT Levels of Estrogens in Serum without ...
Estrogens are steroid hormones derived from cholesterol. They are crucial for the development of female secondary sex characteristics and reproductive functions ...
[28]
Qualitative Analysis - Chemistry LibreTexts
Aug 29, 2023 · Qualitative Analysis is the determination of non-numerical information about a chemical species, a reaction, etc. Examples would be observing ...
[29]
Flame Tests - Chemistry LibreTexts
Jun 30, 2023 · Flame tests identify metal ions by heating a wire with a sample in a flame. Clean the wire, dip it in acid, then the sample, and then back into ...
[30]
4.2: Quantitative and Qualitative GC and GC-MS
Sep 12, 2022 · Qualitative analysis in GC and GC-MS is the identification of analytes in a mixture. Qualitative analysis answers the question, "What is in ...
[31]
Immunoassay Methods - Assay Guidance Manual - NCBI Bookshelf
May 1, 2012 · Immunoassays are used to quantify molecules of biological interest based on the specificity and selectivity of antibody reagents generated.
[32]
[PDF] Vogel's Qualitative Inorganic Analysis 5th ed.
A deeper study of the composition of compounds and of the course of chemical reactions reveals that the classical concept of valency, as defined above, is ...
[33]
Quantitative Chemical Analysis – Chemistry - UH Pressbooks
Quantitative chemical analysis determines the amount or concentration of a substance in a sample, using methods like titration, gravimetric, and combustion ...
[34]
[PDF] 4.5 Quantitative Chemical Analysis
The titrant and analyte undergo a chemical reaction of known stoichiometry, and so measuring the volume of titrant solution required for complete reaction with ...
[35]
Quantitative mass spectrometry: an overview - PMC - NIH
The uniqueness of MS is due to the fact that it enables direct identification of molecules based on the mass-to-charge ratios as well as fragmentation patterns.
[36]
4.9: Quantitative Analysis Using Titration - Chemistry LibreTexts
Jul 4, 2022 · A methodology that combines chemical reactions and stoichiometric calculations to determine the amounts or concentrations of substances present in a sample.Learning Objectives · Determining the Concentration... · Summary
[37]
Titration - an overview | ScienceDirect Topics
Titration is defined as a quantitative analytical technique used to determine the concentration of a solute in a solution by reacting it with a titrant of ...
[38]
4.5 Quantitative Chemical Analysis - Chemistry 2e | OpenStax
Feb 14, 2019 · Properly designed titration methods typically ensure that the difference between the equivalence and end points is negligible. Though any type ...
[39]
The Beer-Lambert Law - Chemistry LibreTexts
Jan 29, 2023 · The Beer-Lambert law relates the attenuation of light to the properties of the material through which the light is traveling.The Absorbance of a Solution · Example 1 · The Beer-Lambert Law · Example 3
[40]
The Bouguer‐Beer‐Lambert Law: Shining Light on the Obscure - PMC
The Beer‐Lambert law is unquestionably the most important law in optical spectroscopy and indispensable for the qualitative and quantitative interpretation ...
[41]
Teaching Beer's Law and Absorption Spectrophotometry with a ...
Jan 29, 2016 · The Beer-Lambert law, also commonly referred to as Beer's law, enables the quantitation of the concn. of an absorbing analyte in soln. Results ...
[42]
Quantifying Small Molecules by Mass Spectrometry
Mass spectrometry quantifies small molecules by using its selectivity and sensitivity, establishing a relationship between signal and concentration, and using ...
[43]
Quantitative mass spectrometry imaging (qMSI): A tutorial - Kibbe
Mar 15, 2024 · Mass spectrometry imaging (MSI) is an analytical technique that enables the simultaneous detection of hundreds to thousands of chemical ...
[44]
[PDF] Chapter 5
An external standardization allows us to analyze a series of samples using a single calibration curve. This is an important advantage when we have many samples ...
[45]
Calibration Methods (Harris) - Chemistry LibreTexts
Oct 27, 2020 · The standard addition method is similar to the external calibration method in that the concentration of an analyte is determined by comparison to a set of ...
[46]
Standard Addition Procedure in Analytical Chemistry - AlpHa Measure
Mar 23, 2023 · The standard addition method, also known as spiking, improves the accuracy of analyte concentration measurements in heterogeneous or complex samples.
[47]
[PDF] MARLAP Manual Volume II: Chapter 14, Separation Techniques
Separation techniques include oxidation-reduction, complexation, solvent extraction, volatilization, electrodeposition, chromatography, precipitation, and ...
[48]
7.7: Liquid-Liquid Extractions - Chemistry LibreTexts
Sep 12, 2021 · The document discusses liquid-liquid extraction as a key method for separating compounds, used in environmental, clinical, and industrial ...
[49]
A review of the modern principles and applications of solid-phase ...
Oct 5, 2022 · Solid-phase extraction (SPE) is an effective way to prepare samples in chemistry. A sample collection and analysis gap can be closed using SPE ...
[50]
[PDF] Method 8261A: Volatile Organic Compounds by Vacuum Distillation ...
Method 8261A is used to determine the concentrations of volatile organic compounds using vacuum distillation and gas chromatography/mass spectrometry.<|control11|><|separator|>
[51]
Electrophoresis - StatPearls - NCBI Bookshelf - NIH
Jul 14, 2025 · Electrophoresis is the migration of electrically charged molecules in response to an electric field, separating them based on their charge.
[52]
Separation techniques: Chromatography - PMC - NIH
Chromatography is an important biophysical technique that enables the separation, identification, and purification of the components of a mixture
[53]
Point-of-care testing (POCT): Current techniques and future ...
Point-of-care testing (POCT) is a laboratory-medicine discipline that is evolving rapidly in analytical scope and clinical application.
[54]
Emergency Cardiac Biomarkers and Point-of-Care Testing
The goals of this paper are a) to facilitate the efficient diagnosis of patients who present with episodes of acute chest pain in rural emergency rooms.
[55]
Regulations for Implementing the Clinical Laboratory Improvement ...
For most specialties/subspecialties, analytes, or tests, the minimum passing score is 80%. (The exceptions are ABO and D(Rho) typing and compatibility testing, ...
[56]
Clinical Laboratory Improvement Amendments (CLIA) - FDA
Jul 17, 2023 · Under the CLIA program, clinical laboratories are required to have the appropriate certificate before they can accept human samples for testing.Missing: analyte accuracy
[57]
Challenges and Opportunities in Clinical Diagnostic Routine of ...
Preanalytical Variables: Sample Preparation Challenges. Blood is the most commonly used medium in clinical analysis and an important biofluid for researching ...
[58]
Biofluids manipulation methods for liquid biopsy in minimally ... - NIH
Even a small fault of test specificity could bring to false positive results, provoking worry patient concern and enormous costs for subsequent diagnosis.
[59]
Low-cost, point-of-care biomarker quantification - PMC
Here, we summarize the main challenges to accurate, low-cost POC biomarker quantification. We also review recent efforts to develop and implement POC tools ...
[60]
[PDF] Contaminants to Monitor in Fish and Shellfish Advisory Programs
Jul 3, 2024 · Analytes Recommended for Monitoring in EPA's 2000 Guidance. Metals. Arsenic (inorganic). Cadmium. Mercury (methylmercury). Selenium. Tributyltin.
[61]
Metals | US EPA
Mar 10, 2025 · This module addresses water column contamination by metals and metalloids that commonly cause toxic effects.Missing: PCBs nitrates
[62]
[PDF] Method 353.2, Revision 2.0: Determination of Nitrate-Nitrite Nitrogen ...
Method 353.2 determines nitrate-nitrite nitrogen by reducing nitrate to nitrite, then measuring the nitrite using automated colorimetry.
[63]
Portable Environmental Safety Analysis | Thermo Fisher Scientific - US
Niton portable XRF analyzers bring the lab to the field. Test for contaminants on-site and get results within seconds to plan your remediation efforts.Missing: spectrometers | Show results with:spectrometers
[64]
[PDF] EPA Method 200.8: Determination of Trace Elements in Waters and ...
The MDLs must be sufficient to detect analytes at the required levels according to compliance monitoring regulation (Section 1.2). MDLs should be determined ...Missing: term | Show results with:term
[65]
Long Term Monitoring / Temporally Integrated Monitoring of ... - EPA
May 2, 2025 · The LTM monitoring program tracks the status of acidified and acid-sensitive lakes and streams. This program measures critical chemical variables.Missing: guidelines trace analytes
[66]
Clean Water Act Analytical Methods | US EPA
Sep 9, 2025 · EPA publishes laboratory analytical methods (test procedures) that are used by industries and municipalities to analyze the chemical, physical and biological ...Approved CWA Chemical Test... · Approved CWA Test Methods · Approved CWA...
[67]
Toxics in the Food Web | US EPA
Although there are numerous chemicals that humans have introduced to the environment, we discuss four main contaminant groups here: metals, PCBs, PBDEs, and ...Missing: analytes | Show results with:analytes
[68]
[PDF] Guidance for Industry Q3A Impurities in New Drug Substances - FDA
Inorganic impurities are normally detected and quantified using pharmacopoeial or other appropriate procedures. Carry-over of catalysts to a new drug substance ...
[69]
D5501 Standard Test Method for Determination of Ethanol ... - ASTM
Jan 3, 2025 · This test method provides a method of determining the percentage of ethanol in an ethanol-gasoline fuel blend over the range of 20 % by mass to 100 % by mass.
[70]
Metal and Metal Alloy Analysis | Thermo Fisher Scientific - US
Metals are often studied via elemental and structural analysis. Optical emission spectrometry technique is universally used in the metal industry.
[71]
Inline Chemical Monitoring & Analysis | Thermo Fisher Scientific - US
Our online analyzers and benchtop meters empower you to increase efficiency and confidence in steam generation and other water-based applications.
[72]
[PDF] FDA Guidance for Industry PAT – A Framework for Innovative ...
This guidance is intended to describe a regulatory framework (Process Analytical Technology,. PAT) that will encourage the voluntary development and ...
[73]
[PDF] How to Meet ISO 17025 Requirements for Method Verification
The purpose of the guide is to define the activities that are required to fulfill method verification based on analytical method performance characteristics.
[74]
E2857 Standard Guide for Validating Analytical Methods - ASTM
Apr 22, 2022 · Method validation is a process of demonstrating that the method meets the required performance capabilities. International standards such as ISO ...
[75]
Process Analytical Technology Tools for Monitoring Pharmaceutical ...
Process analytical technology (PAT) was introduced to analyze IQAs during the process of establishing regulatory specifications and facilitating continuous ...
[76]
Process Analytical Technology | PAT Testing - Thermo Fisher Scientific
PAT aims to improve process efficiency and process control by defining Critical Process Parameters (CPP) and monitoring these CPPs to stay within a defined ...Overview · Categories · Videos · Support
[77]
Chemical Analysis of Metals - Intertek
Intertek's chemical analysis of metals can identify and quantify the elemental composition of the material and help support your quality control processes.