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Accuracy and Precision

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. Highly accurate measurements...

Accuracy and Precision

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. Highly accurate measurements...

Uncertainty in Measurement: Accuracy and Precision

Uncertainty 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.

Development of Analytical Methods

Development of Analytical Methods

An analytical methodology can be divided into four sequential steps: technique, method, procedure, and protocol. A technique is a scientific principle that rationalizes a specific phenomenon through chemical measurements. Adapting a technique for analyzing a sample of interest is termed a method. The procedure outlines the directions for performing the analysis via an analytical method. The protocol is the detailed guidelines on the procedure, which should be strictly followed to obtain the...

Data Validation

Data 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:

Accuracy, limits, and approximation

Accuracy, limits, and approximation

Accuracy, limits, and approximations are common in many fields, especially in engineering calculations. These concepts are imperative for ensuring that a given value is as close as possible to its true value.
Accuracy is defined as the closeness of the measured value to the true or actual value. In engineering mechanics, repeated measurements are taken during theoretical or experimental analyses to ensure that the result is precise and accurate.
The accuracy of any solution is based on the...

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Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

To address accuracy and precision using methods from analytical chemistry and computational physics.

Cornelia Kozmutza¹, Yolanda Picó

¹Department of Theoretical Physics, Budapest University of Technology and Economics, BME, Budafoki ut 8, 1111, Budapest, Hungary. kozmutza@phy.bme.hu

Environmental Monitoring and Assessment

|March 29, 2008

Summary

This study investigated imidacloprid pesticide levels in Valencian Community fruits using liquid chromatography-mass spectrometry (LC-MS). Findings provide insights into pesticide occurrence and analytical method accuracy for agricultural safety.

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Area of Science:

Agricultural Chemistry
Analytical Chemistry
Computational Chemistry

Background:

Pesticide residues in food are a public health concern.
Imidacloprid is a widely used insecticide in agriculture.
Accurate detection and quantification of pesticides are crucial for food safety.

Purpose of the Study:

To investigate the occurrence of imidacloprid and nine other pesticides in various fruits from the Valencian Community.
To apply computational methods for analyzing pesticide interactions and properties.
To evaluate the accuracy and precision of analytical techniques.

Main Methods:

Liquid chromatography-mass spectrometry (LC-MS) for pesticide determination.
Mulliken population analysis for charge distribution in imidacloprid.
Calculation of partitioned energy terms and virial ratios for interacting molecules.
Development of a new technique for comparing decomposed total energy terms.

Main Results:

Imidacloprid was detected in 343 samples of oranges, tangerines, date plums, and watermelons.
The study demonstrated a new technique for assessing interaction ability.
Accuracy and precision of the analytical methods were addressed.
Computational analysis provided insights into molecular interactions.

Conclusions:

The study successfully investigated pesticide occurrence in Valencian Community fruits.
Computational chemistry methods offer potential for predicting properties and reducing analytical workload.
The findings contribute to understanding pesticide residues in agricultural products.