Introduction to Kinetic Methods of Analysis

Kinetic methods of analysis revolutionize analytical chemistry by measuring reaction rates rather than equilibrium concentrations. These powerful techniques enable rapid, precise determinations of analyte concentrations through sophisticated monitoring of chemical reaction kinetics.

The kinetic method exploits the relationship between reaction rate and analyte concentration, providing exceptional sensitivity and selectivity. This approach transforms traditional analytical chemistry by focusing on dynamic processes rather than static measurements.

Unlike traditional equilibrium methods that require complete reactions, kinetic methods analyze systems during the reaction process. This fundamental difference enables faster analysis times, improved selectivity, and the ability to analyze mixtures without prior separation.

🔬 Key Advantage of Kinetic Methods

Kinetic methods of analysis offer superior precision and can differentiate between similar compounds based on their unique reaction kinetics, making them invaluable for complex analytical challenges.

Objectives of Kinetic Analysis

The primary objectives of kinetic methods of analysis encompass multiple analytical goals that address modern analytical challenges:

Primary Analytical Objectives

  • Rapid Quantitative Analysis: Achieve accurate determinations in seconds to minutes rather than hours
  • Enhanced Selectivity: Distinguish between chemically similar compounds based on kinetic differences
  • Improved Sensitivity: Detect trace concentrations through amplification effects in catalytic systems
  • Automation Compatibility: Enable continuous monitoring and automated analytical systems
  • Matrix Independence: Minimize interference effects through kinetic discrimination

Specific Analytical Goals

Kinetic methods achieve specific analytical objectives including determination of enzyme activities, monitoring reaction mechanisms, quality control in pharmaceutical manufacturing, and environmental monitoring of dynamic systems.

📊 Practical Example: Objective Achievement

Scenario: Simultaneous determination of glucose and fructose in fruit juices using differential enzyme kinetics.

Approach:

• Glucose oxidase shows high specificity for glucose with rapid initial rates

• Fructose requires different enzyme with distinct kinetic profile

• Kinetic discrimination enables simultaneous analysis without separation

• Analysis time: 3 minutes vs. 45 minutes for traditional methods

Types of Kinetic Methods

Kinetic methods of analysis encompass diverse approaches, each optimized for specific analytical challenges and sample types.

Classification by Measurement Approach

Direct Kinetic Methods

Direct kinetic methods measure the analyte’s direct participation in the monitored reaction. The analyte serves as either a reactant or product, with concentration directly proportional to reaction rate.

Indirect Kinetic Methods

Indirect methods determine analytes through their effect on indicator reactions. The analyte influences reaction rates without direct participation, often through catalytic or inhibitory effects.

Classification by Reaction Type

Catalytic Kinetic Methods

These methods exploit the analyte’s catalytic properties, achieving exceptional sensitivity through signal amplification. A single analyte molecule catalyzes multiple reaction cycles, dramatically enhancing detection limits.

Non-Catalytic Kinetic Methods

Non-catalytic approaches monitor stoichiometric reactions where the analyte participates directly. These methods offer excellent precision and are less susceptible to interference effects.

Classification by Time Domain

Initial Rate Methods

Initial rate methods measure reaction velocities during the first few percent of reaction progress, ensuring linear relationships between rate and concentration.

Integral Methods

Integral methods monitor concentration changes over extended time periods, providing enhanced precision through multiple data points.

Direct Methods
Indirect Methods
Catalytic Methods
Non-Catalytic Methods
Initial Rate Methods
Integral Methods

Measurement of Reaction Rates

Accurate measurement of reaction rates forms the foundation of all kinetic methods of analysis. Multiple approaches enable precise rate determinations under various experimental conditions.

Continuous Monitoring Methods

Continuous monitoring provides real-time rate measurements through automated instrumentation. Spectrophotometric, potentiometric, and conductometric detection systems enable continuous data acquisition.

Rate = -d[A]/dt = k[A]^n

Discrete Sampling Methods

Discrete sampling involves periodic sample withdrawal and analysis. This approach suits reactions requiring sample treatment or specialized analytical techniques.

Temperature Control in Rate Measurements

Temperature significantly affects reaction rates according to the Arrhenius equation:

k = A·e^(-Ea/RT)

Precise temperature control (±0.1°C) ensures reproducible rate measurements and accurate analytical results.

📊 Numerical Problem: Temperature Effect

Problem: A reaction rate doubles when temperature increases from 25°C to 35°C. Calculate the activation energy.

Solution:

Using Arrhenius equation: ln(k₂/k₁) = (Ea/R)(1/T₁ – 1/T₂)

ln(2) = (Ea/8.314)(1/298 – 1/308)

0.693 = (Ea/8.314)(1.09 × 10⁻⁴)

Ea = 52.8 kJ/mol

Mathematical Basis of Kinetic Methods

The mathematical foundation of kinetic methods of analysis relies on differential and integral calculus to describe reaction progress and establish quantitative relationships between analyte concentration and measurable parameters.

Differential Rate Equations

Differential rate equations express instantaneous reaction rates as functions of reactant concentrations:

-d[A]/dt = k[A]^m[B]^n[C]^p

Where m, n, and p represent reaction orders, and k is the rate constant. The overall reaction order equals m + n + p.

Integrated Rate Equations

Integration of differential equations provides concentration-time relationships essential for kinetic analysis:

Zero-Order Reactions

[A] = [A₀] – kt

First-Order Reactions

ln[A] = ln[A₀] – kt

Second-Order Reactions

1/[A] = 1/[A₀] + kt

Pseudo-Order Kinetics

When one reactant is in large excess, complex reactions simplify to pseudo-order kinetics. This mathematical treatment enables straightforward analysis of multi-component systems.

📊 Mathematical Problem: Pseudo-First Order

Problem: In a reaction A + B → Products, [B] = 0.1 M (excess) and [A₀] = 0.001 M. If k = 2.5 M⁻¹s⁻¹, calculate the pseudo-first-order rate constant.

Solution:

For pseudo-first-order: k’ = k[B]

k’ = 2.5 × 0.1 = 0.25 s⁻¹

The reaction follows: ln[A] = ln[A₀] – k’t

Statistical Analysis in Kinetic Methods

Statistical treatment of kinetic data ensures reliable analytical results. Linear regression analysis, confidence intervals, and error propagation calculations validate kinetic determinations.

Method of Least Squares

The least squares method optimizes kinetic parameter estimation by minimizing the sum of squared residuals between experimental and calculated values.

χ² = Σ(y_obs – y_calc)²/σ²

Fundamental Principles of Kinetic Analysis

Rate Laws and Kinetic Equations

The foundation of kinetic methods lies in understanding rate laws. The rate law expresses how reaction rate depends on reactant concentrations:

Rate = k[A]^m[B]^n

Where k represents the rate constant, [A] and [B] are reactant concentrations, and m and n are reaction orders. This fundamental relationship enables quantitative analysis through kinetic measurements.

Integrated Rate Laws

Integrated rate laws provide mathematical relationships between concentration and time. For first-order reactions:

ln[A] = ln[A₀] – kt

This integrated rate law enables determination of analyte concentrations by monitoring concentration changes over time.

📊 Numerical Problem 1: First-Order Kinetics

Problem: A first-order reaction has a rate constant of 0.0231 min⁻¹. Calculate the time required for the concentration to decrease from 0.100 M to 0.025 M.

Solution:

Using the integrated rate law: ln[A] = ln[A₀] – kt

ln(0.025) = ln(0.100) – (0.0231)(t)

-3.689 = -2.303 – 0.0231t

t = (-3.689 + 2.303) / (-0.0231) = 60.0 minutes

Advanced Enzyme Kinetics in Analysis

Michaelis-Menten Kinetics

Enzyme kinetics forms the cornerstone of many kinetic methods of analysis. The Michaelis-Menten equation describes enzyme-catalyzed reactions:

v = (V_max[S]) / (K_m + [S])

Where v is the initial rate, V_max is the maximum velocity, [S] is substrate concentration, and K_m is the Michaelis constant. This relationship enables precise determination of substrate concentrations.

Lineweaver-Burk Plot Analysis

The Lineweaver-Burk plot transforms the Michaelis-Menten equation into linear form:

1/v = (K_m/V_max)(1/[S]) + 1/V_max

This linearization facilitates determination of kinetic parameters and enables accurate analytical measurements using enzyme-based systems.

📊 Numerical Problem 2: Enzyme Kinetics

Problem: An enzyme has K_m = 2.5 × 10⁻⁴ M and V_max = 1.2 × 10⁻⁶ M/s. Calculate the initial rate when [S] = 5.0 × 10⁻⁴ M.

Solution:

Using Michaelis-Menten equation:

v = (1.2 × 10⁻⁶ × 5.0 × 10⁻⁴) / (2.5 × 10⁻⁴ + 5.0 × 10⁻⁴)

v = (6.0 × 10⁻¹⁰) / (7.5 × 10⁻⁴)

v = 8.0 × 10⁻⁷ M/s

Catalytic Methods – Enzymatic and Non-enzymatic

Catalytic methods represent the most sensitive kinetic approaches, exploiting the amplification effect where a single catalyst molecule facilitates multiple reaction cycles. These methods achieve exceptional detection limits and selectivity.

Enzymatic Catalytic Methods

Enzymatic catalytic methods utilize the extraordinary specificity and efficiency of biological catalysts. Enzymes provide unmatched selectivity and enable determination of substrates, cofactors, and enzyme activities.

Enzyme-Based Analytical Systems

Enzyme systems offer multiple analytical advantages:

  • High Specificity: Enzymes recognize specific molecular structures
  • Mild Conditions: Operate at physiological pH and temperature
  • Amplification: Single enzyme molecules catalyze thousands of reactions
  • Renewable: Enzymes regenerate after each catalytic cycle

Multi-Enzyme Systems

Coupled enzyme reactions extend analytical capabilities by linking multiple enzymatic steps. These systems enable indirect determination of compounds not directly reactive with available enzymes.

Glucose + ATP → Glucose-6-phosphate + ADP (Hexokinase)
Glucose-6-phosphate + NADP⁺ → 6-Phosphogluconate + NADPH (G6PDH)

Non-enzymatic Catalytic Methods

Non-enzymatic catalysts include metal ions, metal complexes, and synthetic catalysts. These systems offer broader pH and temperature ranges while maintaining excellent sensitivity.

Metal Ion Catalysis

Transition metal ions catalyze numerous analytical reactions. Iron, copper, manganese, and cobalt ions serve as effective catalysts for oxidation-reduction reactions.

Organometallic Catalysts

Organometallic complexes provide tunable catalytic properties through ligand modification. These catalysts enable selective reactions under controlled conditions.

📊 Catalytic Method Problem

Problem: A catalytic method for iron determination uses the Fe³⁺-catalyzed oxidation of iodide by hydrogen peroxide. If 1 μg Fe³⁺ catalyzes the formation of 50 μmol I₂ in 5 minutes, calculate the turnover number.

Solution:

Moles of Fe³⁺ = (1 × 10⁻⁶ g) / (55.85 g/mol) = 1.79 × 10⁻⁸ mol

Turnover number = (50 × 10⁻⁶ mol) / (1.79 × 10⁻⁸ mol × 5 min)

Turnover number = 558 reactions/catalyst/minute

Catalytic Method Optimization

Optimization of catalytic methods requires careful control of multiple parameters including catalyst concentration, pH, temperature, and reaction time. The optimal conditions maximize sensitivity while maintaining precision.

Catalyst Concentration Effects

Catalyst concentration directly affects reaction rates up to saturation levels. Optimal catalyst concentrations balance sensitivity with reagent consumption and cost considerations.

Enzyme Inhibition in Kinetic Analysis

Types of Enzyme Inhibitors

Understanding enzyme inhibition mechanisms enhances analytical selectivity:

Competitive Inhibitor

A competitive inhibitor competes with substrate for the active site. The apparent K_m increases while V_max remains constant.

Noncompetitive Inhibitor

A noncompetitive inhibitor binds to a different site, reducing V_max while K_m remains unchanged.

Uncompetitive Inhibitor

An uncompetitive inhibitor binds only to the enzyme-substrate complex, decreasing both K_m and V_max proportionally.

Radiochemical Kinetic Methods

Isotope Dilution Analysis

Isotope dilution represents a powerful kinetic method utilizing radioactive tracers. This technique achieves exceptional accuracy by adding known amounts of radioactive isotopes to samples.

The method exploits the principle that isotopes of the same element exhibit identical chemical behavior but different nuclear properties. Gamma rays, beta particles, and alpha particles serve as detection signals.

Neutron Activation Analysis

Neutron activation transforms stable isotopes into radioactive species, enabling trace element determination. The technique measures characteristic gamma ray emissions following neutron bombardment.

📊 Numerical Problem 3: Half-Life Calculations

Problem: A radioactive isotope has a half-life of 14.3 days. Calculate the decay constant and the fraction remaining after 30 days.

Solution:

Decay constant: λ = 0.693 / t₁/₂ = 0.693 / 14.3 = 0.0485 day⁻¹

Fraction remaining: N/N₀ = e^(-λt) = e^(-0.0485 × 30) = e^(-1.455) = 0.233

Therefore, 23.3% of the original isotope remains after 30 days.

Flow Injection Analysis Systems

Flow Injection Analysis Principles

Flow injection analysis (FIA) revolutionizes kinetic methods by providing automated, reproducible measurements. The technique injects sample plugs into flowing carrier streams, enabling rapid kinetic monitoring.

Key components include peristaltic pumps for precise flow control, manifold systems for sample handling, and sophisticated detection systems. The method achieves exceptional precision through controlled reaction conditions.

Stopped-Flow Analyzer Applications

Stopped-flow analyzers enable investigation of rapid reactions by quickly mixing reactants and monitoring kinetic changes. These instruments achieve millisecond time resolution, crucial for fast kinetic studies.

Advanced Detection Methods

Scintillation Counting

Scintillation counters detect radioactive emissions through fluorescent materials. These instruments convert radiation energy into measurable light pulses, enabling precise quantification of radioactive species.

The technique handles various radiation types including positrons, negatrons, and gamma rays. Quench correction ensures accurate measurements despite sample matrix effects.

Geiger Counter Applications

Geiger counters provide robust radiation detection for kinetic analysis. These instruments excel in field applications and routine monitoring of radioactive samples.

Comparison of Graphical Logarithmic Extrapolation Methods and Proportional Equations

Graphical methods provide powerful tools for kinetic data analysis, enabling determination of reaction orders, rate constants, and analyte concentrations through linear transformations of kinetic equations.

Logarithmic Extrapolation Methods

Logarithmic plots transform exponential relationships into linear forms, facilitating parameter determination through graphical analysis.

Semi-logarithmic Plots

First-order reactions yield linear semi-logarithmic plots when ln[A] is plotted versus time:

ln[A] = ln[A₀] – kt

The slope equals -k, and the y-intercept equals ln[A₀]. This method enables rapid determination of rate constants and initial concentrations.

Double Logarithmic Plots

Power law relationships become linear in double logarithmic coordinates. For rate laws of the form Rate = k[A]ⁿ:

log(Rate) = log(k) + n·log[A]

The slope provides the reaction order n, while the intercept yields the rate constant k.

Proportional Equation Methods

Proportional equations establish direct relationships between measurable parameters and analyte concentrations, forming the basis for quantitative kinetic analysis.

Initial Rate Proportionality

Under pseudo-first-order conditions, initial rates are directly proportional to analyte concentrations:

v₀ = k'[Analyte]

This linear relationship enables construction of calibration curves for quantitative analysis.

Fixed-Time Proportionality

At fixed reaction times, concentration changes are proportional to initial analyte concentrations:

Δ[Product] = k·t·[Analyte₀]

📊 Graphical Analysis Problem

Problem: A kinetic study yields the following data for ln[A] vs. time: (0 min, -2.30), (5 min, -2.53), (10 min, -2.76). Determine the rate constant and half-life.

Solution:

Slope = (-2.76 – (-2.30)) / (10 – 0) = -0.046 min⁻¹

Rate constant k = 0.046 min⁻¹

Half-life = 0.693 / k = 0.693 / 0.046 = 15.1 minutes

Comparison of Graphical Methods

Different graphical approaches offer distinct advantages for specific analytical situations:

Semi-log Plots
Double-log Plots
Linear Regression
Extrapolation Methods
Proportional Analysis
Curve Fitting

Method Selection Criteria

  • Data Quality: High-quality data suits sophisticated curve-fitting methods
  • Reaction Order: Known reaction orders enable appropriate plot selection
  • Time Range: Extended time ranges favor integral methods
  • Precision Requirements: High precision demands statistical analysis

Computer-Assisted Analysis

Modern kinetic analysis employs computer algorithms for non-linear curve fitting, statistical analysis, and parameter optimization. These methods surpass manual graphical techniques in precision and efficiency.

Kinetic Analytical Approaches

Initial Rate Method

The initial rate method measures reaction rates at the beginning of reactions when substrate depletion is minimal. This approach provides linear relationships between rate and concentration.

Fixed-Time Methods

Fixed-time integral methods measure concentration changes over predetermined intervals:

One-Point Fixed-Time Integral Method

This method measures the difference between initial and final concentrations at a fixed time point, providing rapid analytical results.

Two-Point Fixed-Time Integral Method

The two-point method enhances precision by measuring concentrations at two different time points, reducing systematic errors.

Variable Time Integral Method

The variable time integral method adjusts measurement intervals based on reaction progress, optimizing analytical precision for different concentration ranges.

📊 Numerical Problem 4: Rate Method Analysis

Problem: Using the initial rate method, determine the glucose concentration if the initial rate is 2.5 × 10⁻⁵ M/s and the rate constant is 1.8 × 10⁻² s⁻¹M⁻¹.

Solution:

For first-order kinetics: Rate = k[glucose]

[glucose] = Rate / k = (2.5 × 10⁻⁵) / (1.8 × 10⁻²)

[glucose] = 1.39 × 10⁻³ M = 1.39 mM

Instrumentation for Kinetic Methods

Sophisticated instrumentation enables precise kinetic measurements through automated data acquisition, temperature control, and real-time monitoring capabilities. Modern kinetic analyzers integrate multiple detection systems with advanced data processing.

Spectrophotometric Systems

Spectrophotometric detection forms the backbone of most kinetic methods, providing continuous monitoring of concentration changes through absorbance measurements.

UV-Visible Spectrophotometers

UV-Visible instruments offer versatility for kinetic analysis through multiple wavelength capabilities and rapid scanning. These systems achieve millisecond time resolution for fast kinetic studies.

Diode Array Detectors

Diode array systems enable simultaneous monitoring at multiple wavelengths, facilitating multi-component kinetic analysis and reaction mechanism studies.

Flow-Based Instrumentation

Flow injection analysis systems revolutionize kinetic methods through automated sample handling and precise timing control.

Peristaltic Pump Systems

Peristaltic pumps provide pulseless flow delivery essential for reproducible kinetic measurements. These systems maintain constant flow rates despite pressure variations.

Manifold Design

Analytical manifolds control sample mixing, reaction timing, and detection geometry. Optimized manifold designs minimize dispersion while maximizing sensitivity.

Stopped-Flow Analyzers

Stopped-flow instruments enable investigation of rapid reactions through rapid mixing and immediate monitoring. These systems achieve dead times below 1 millisecond.

Mixing Chamber Design

Efficient mixing chambers ensure complete reactant mixing within microseconds. Tangential injection and turbulent flow patterns optimize mixing efficiency.

Detection Systems

Multiple detection modes including fluorescence, absorbance, and light scattering expand analytical capabilities for diverse reaction types.

Centrifugal Analyzers

Centrifugal force drives sample processing in these automated systems, enabling parallel analysis of multiple samples with precise temperature control.

Rotor Design

Analytical rotors contain multiple sample chambers with integrated optical paths. Centrifugal force controls sample movement and mixing timing.

Radiochemical Instrumentation

Specialized instruments detect and quantify radioactive emissions for isotope-based kinetic methods.

Scintillation Counters

Liquid scintillation counters detect beta particles and low-energy gamma rays through fluorescent conversion. These instruments achieve high counting efficiency with low background.

Gamma Counters

Gamma ray detection utilizes sodium iodide crystals or semiconductor detectors. These systems provide energy discrimination for multi-isotope analysis.

Geiger-Müller Counters

Geiger counters offer robust radiation detection for routine monitoring applications. These instruments provide reliable operation in field conditions.

📊 Instrumentation Problem

Problem: A stopped-flow analyzer has a dead time of 2 ms and monitors a reaction with t₁/₂ = 50 ms. Calculate the percentage of reaction completed during the dead time.

Solution:

For first-order kinetics: k = 0.693 / t₁/₂ = 0.693 / 0.050 = 13.86 s⁻¹

Fraction remaining after 2 ms: e^(-kt) = e^(-13.86 × 0.002) = 0.973

Percentage reacted = (1 – 0.973) × 100% = 2.7%

Data Acquisition Systems

Modern kinetic instruments employ sophisticated data acquisition systems for real-time monitoring and analysis.

Analog-to-Digital Conversion

High-resolution ADCs capture kinetic signals with precision. Sampling rates up to 1 MHz enable monitoring of rapid reactions.

Computer Control

Integrated computer systems control instrument parameters, data acquisition, and real-time analysis. These systems enable automated method development and optimization.

Applications of Kinetic Methods

Kinetic methods of analysis find extensive applications across diverse fields, from clinical diagnostics to environmental monitoring, demonstrating their versatility and analytical power.

Clinical Chemistry Applications

Clinical laboratories extensively utilize kinetic methods for enzyme activity determinations, substrate quantifications, and drug monitoring.

Enzyme Activity Assays

Kinetic enzyme assays provide rapid, precise measurements of enzyme activities in biological samples. These methods enable diagnosis of diseases through enzyme level changes.

  • Alanine Aminotransferase (ALT): Liver function assessment
  • Creatine Kinase (CK): Cardiac and muscle damage detection
  • Alkaline Phosphatase (ALP): Bone and liver disease diagnosis
  • Lactate Dehydrogenase (LDH): Tissue damage evaluation

Substrate Determinations

Enzymatic kinetic methods enable specific determination of biological substrates including glucose, cholesterol, triglycerides, and urea.

Pharmaceutical Applications

Pharmaceutical analysis employs kinetic methods for drug stability studies, quality control, and pharmacokinetic investigations.

Drug Stability Testing

Kinetic analysis predicts drug shelf life through accelerated stability studies. These methods determine degradation rates under various storage conditions.

Quality Control

Rapid kinetic assays enable real-time quality control in pharmaceutical manufacturing, ensuring product consistency and potency.

Environmental Applications

Environmental monitoring utilizes kinetic methods for pollutant detection, water quality assessment, and ecosystem health evaluation.

Water Quality Monitoring

Kinetic methods determine biochemical oxygen demand (BOD), chemical oxygen demand (COD), and specific pollutant concentrations in water samples.

Soil Analysis

Enzymatic kinetic methods assess soil health through enzyme activity measurements, providing insights into microbial activity and nutrient cycling.

Food Industry Applications

Food analysis employs kinetic methods for quality control, nutritional analysis, and safety assessment.

Nutritional Analysis

Enzymatic methods determine vitamins, amino acids, and other nutrients in food products with high specificity and accuracy.

Food Safety

Rapid kinetic assays detect foodborne pathogens and toxins, enabling quick safety assessments in food processing.

📊 Application Problem

Problem: A glucose assay using glucose oxidase shows an initial rate of 0.025 ΔA/min for a serum sample. If the molar absorptivity is 6220 M⁻¹cm⁻¹ and path length is 1 cm, calculate the glucose concentration.

Solution:

Rate of product formation = 0.025 / 6220 = 4.02 × 10⁻⁶ M/min

Under saturating conditions, this rate is proportional to glucose concentration

Using calibration factor: [Glucose] = 4.02 × 10⁻⁶ × CF

Typical result: 5.5 mM glucose (normal fasting range)

Research Applications

Research laboratories utilize kinetic methods for mechanism studies, catalyst development, and fundamental kinetic investigations.

Reaction Mechanism Studies

Kinetic analysis reveals reaction pathways, intermediate species, and rate-determining steps in complex chemical systems.

Catalyst Development

Kinetic methods evaluate catalyst performance, optimize reaction conditions, and guide catalyst design for improved efficiency.

Advanced Applications and Techniques

Centrifugal Analyzer Systems

Centrifugal analyzers combine kinetic methods with automated sample handling. These systems enable simultaneous analysis of multiple samples while maintaining precise temperature and timing control.

Curve-Fitting Methods

Advanced curve-fitting methods extract kinetic parameters from complex reaction profiles. These computational approaches handle non-linear kinetics and multi-component systems.

Steady-State Approximation

The steady-state approximation simplifies complex kinetic systems by assuming intermediate concentrations remain constant. This approach enables analytical solutions for multi-step reactions.

Essential Key Terms in Kinetic Analysis

Alpha Particle
Beta Particle
Centrifugal Analyzer
Competitive Inhibitor
Curve-Fitting Method
Enzyme
Equilibrium Method
Flow Injection Analysis
Gamma Ray
Geiger Counter
Half-Life
Inhibitor
Initial Rate
Integrated Rate Law
Intermediate Rate
Isotope
Isotope Dilution
Kinetic Method
Lineweaver-Burk Plot
Manifold
Michaelis Constant
Negatron
Neutron Activation
Noncompetitive Inhibitor
Peristaltic Pump
Positron
Quench
Rate
Rate Constant
Rate Law
Rate Method
Scintillation Counter
Steady-State Approximation
Stopped-Flow Analyzer
Substrate
Tracer
Uncompetitive Inhibitor