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Data Collection II01:29

Data Collection II

10.0K
The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
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Data Collection I01:30

Data Collection I

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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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Data Collection by Experiments01:13

Data Collection by Experiments

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Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
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Data Collection by Survey01:07

Data Collection by Survey

8.9K
The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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Data Collection by Observations01:08

Data Collection by Observations

14.8K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
14.8K
Data Collection III01:05

Data Collection III

4.3K
The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the...
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Related Experiment Video

Updated: Jan 30, 2026

Steady-state, Pre-steady-state, and Single-turnover Kinetic Measurement for DNA Glycosylase Activity
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Steady-state, Pre-steady-state, and Single-turnover Kinetic Measurement for DNA Glycosylase Activity

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New standards for collecting and fitting steady state kinetic data.

Kenneth A Johnson1

  • 1Department of Molecular Biosciences, The University of Texas, Austin, TX 78735, USA.

Beilstein Journal of Organic Chemistry
|January 26, 2019
PubMed
Summary

Redefining the Michaelis-Menten equation using the specificity constant (k_cat/K_m) improves enzyme efficiency interpretation. This approach offers a more accurate measure of enzyme specificity and proficiency than traditional K_m values.

Keywords:
Michaelis constantcomputer simulationdata fittingenzyme catalysisinduced-fitspecificity constant

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Area of Science:

  • Biochemistry
  • Enzymology
  • Chemical Kinetics

Background:

  • The Michaelis-Menten equation is a cornerstone of enzyme kinetics, typically expressed using k_cat and K_m.
  • K_m interpretation is often limited without additional context.
  • k_cat/K_m, the specificity constant, directly reflects enzyme efficiency and specificity.

Purpose of the Study:

  • To advocate for redefining the Michaelis-Menten equation using k_cat and k_cat/K_m.
  • To demonstrate the advantages of using the specificity constant for enzyme analysis.
  • To highlight the limitations of interpreting K_m in isolation.

Main Methods:

  • Reviewing the rationale for redefining the Michaelis-Menten equation.
  • Comparing direct measurement of k_cat/K_m with calculation from separate k_cat and K_m values.
  • Utilizing numerical integration of rate equations for enhanced data fitting accuracy.

Main Results:

  • The ratio k_cat/K_m provides a more direct measure of enzyme specificity and efficiency.
  • Directly fitting data using the modified equation yields more accurate k_cat/K_m values.
  • Numerical integration offers superior accuracy for determining kinetic parameters.

Conclusions:

  • Redefining the Michaelis-Menten equation with the specificity constant (k_cat/K_m) enhances understanding of enzyme performance.
  • Accurate determination of k_cat/K_m is crucial, especially when considering factors like conformational changes.
  • K_m is best understood as a derived value (k_cat divided by k_cat/K_m), not an independent measure of substrate binding affinity.