Related Experiment Video
Updated: Oct 11, 2025
05:02
Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
32.4K
An Introduction to the Benchmarking and Publications for Non-Targeted Analysis Working Group
Benjamin J Place1, Elin M Ulrich2, Jonathan K Challis3
1National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States.
Analytical Chemistry
|November 29, 2021
Summary
Non-targeted analysis (NTA) uses advanced mass spectrometry to explore chemical compositions. The Benchmarking and Publications for Non-Targeted Analysis Working Group (BP4NTA) is developing reporting guidelines to standardize NTA practices.
Area of Science:
- Analytical Chemistry
- Mass Spectrometry
- Chemical Analysis
Background:
- Non-targeted analysis (NTA) is a rapidly advancing field using mass spectrometry to characterize complex samples without prior knowledge.
- Improvements in instrumentation and data analysis tools have accelerated NTA development across various scientific disciplines.
- A growing need exists for standardized method reporting guidelines in NTA research.
Purpose of the Study:
- To address the need for community-wide method reporting guidelines in non-targeted analysis.
- To establish consensus on NTA terminology and concepts.
- To promote consistency in NTA reporting practices.
Main Methods:
- Formation of the Benchmarking and Publications for Non-Targeted Analysis Working Group (BP4NTA) in 2018.
- Involvement of international researchers from diverse fields including environmental science, food chemistry, 'omics, and toxicology.
- Development and dissemination of resources, including consensus definitions and available tools, via a public website.
Main Results:
- BP4NTA has begun to establish consensus on NTA terms and concepts.
- Resources have been provided to promote consistency in NTA reporting.
- A collaborative platform is being established for ongoing discussion and harmonization efforts.
Conclusions:
- The BP4NTA working group is crucial for standardizing non-targeted analysis methods.
- Continued collaboration and guideline development are essential for advancing the field of NTA.
- Standardized reporting will enhance the reproducibility and comparability of NTA studies.
Related Concept Videos
01:11Overview of Minitab
292
Minitab is a statistical software package designed for data analysis. With its origins in the 1970s and development at Pennsylvania State University, Minitab has grown significantly in its capabilities and applications. It plays a crucial role in quality management projects, especially in Six Sigma initiatives, by offering tools for process improvement and statistical analysis. Minitab's significance lies in its user-friendly interface, making complex statistical analysis accessible to...
292
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
197
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
197
01:21Friedman Two-way Analysis of Variance by Ranks
328
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
328
01:02Quantifying and Rejecting Outliers: The Grubbs Test
2.6K
Sometimes, a data set can have a recorded numerical observation that greatly deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier. To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This...
2.6K
01:08Titrimetric Methods: Types and Commonly Used Strategies
1.2K
In chemistry, titrimetric methods are broadly classified into three types: volumetric, gravimetric, and coulometric. Volumetric titrations involve measuring the volume of a titrant of known concentration that is required to react completely with an analyte. In gravimetric titrations, the standard solution reacts with the analyte to form an insoluble precipitate, which is filtered, dried, and weighed. In coulometric titrations, current is applied to an electrochemical reaction until the reaction...
1.2K
01:11Statistical Analysis: Overview
9.4K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
9.4K