Related Experiment Video
Updated: Jun 19, 2026
07:26
A Simple Method for Automated Solid Phase Extraction of Water Samples for Immunological Analysis of Small Pollutants
Published on: January 1, 2016
SOME METHODICAL ERRORS WHICH MAY ARISE IN THE DETERMINATION OF BOUND WATER
1Division of Agricultural Biochemistry, University of Minnesota, St. Paul.
The Journal of General Physiology
|October 30, 2009
Summary
The bound water hypothesis is theoretically sound. Slight solute adsorption explains why some methods fail to detect bound water in biochemical systems.
Area of Science:
- Biochemistry
- Physical Chemistry
Background:
- The concept of "bound water" in biological systems remains debated.
- Existing detection methods have faced challenges in confirming its presence.
Purpose of the Study:
- To provide a theoretical basis for the "bound water" hypothesis.
- To explain the limitations of current techniques in detecting bound water.
Main Methods:
- Theoretical analysis of solute-water interactions.
- Review of existing experimental data and methodologies.
Main Results:
- The "bound water" hypothesis is supported by adequate theoretical principles.
- A small degree of solute adsorption involving water molecules can account for experimental failures.
Conclusions:
- The "bound water" hypothesis offers a viable explanation for observed phenomena in biochemical systems.
- Further research should consider solute adsorption effects when evaluating bound water.
More Related Videos
Related Concept Videos
01:15Systematic Error: Methodological and Sampling Errors
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
01:20Random and Systematic Errors
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
01:20Random and Systematic Errors
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
03:37Uncertainty in Measurement: Accuracy and Precision
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.
01:12Types of Errors: Detection and Minimization
Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
01:15Data Validation
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
Key parameters for method validation include: