Science Map 2024: Sensors, Sustainable Analytical Chemistry, Microplastics

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Abstract

This publication is the seventh in a series of articles containing the results of regular scientometric monitoring of analytical chemistry. The identified cutting-edge areas (fronts) of research are based on highly cited publications, grouped into clusters by frequent cocitation. In 2024, as before, there are many areas of research and development related to sensor devices used in medical diagnostics (COVID‑19, etc.), as well as in the analysis of environmental objects and food products. Attention to microplastics, an environmental pollutant, remains high. An extensive scientific field has emerged in which analytical methods are considered according to conditional criteria of colourfulness.

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About the authors

Boris L. Milman

ФГБУ «НКЦТ им. С.Н. Голикова ФМБА России»

Author for correspondence.
Email: bormilman@yandex.ru
ORCID iD: 0000-0002-0609-6117

Dr.Sc., Research Leader, Clinical Research Center of Toxicology

Russian Federation, Санкт-Петербург

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Supplementary files

Supplementary Files
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1. JATS XML
2. Fig. 1. Map of analytical chemistry in 2024. Circles are separate areas of research. The size of the circles approximately reflects the number of relevant articles. The lines connecting the individual fronts show the thematic connections between them. Thick and thin lines represent strong and medium connections, respectively. Weak connections, dashed lines, are shown only for relatively isolated clusters.

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3. 2. Characteristics of analytical methods and techniques showing the effectiveness and quality of chemical analysis ("red"), its practicality ("blue"), the degree of safety and impact on the environment ("green"). Each characteristic is evaluated in the range from 100% (the best option) to 0% (the worst version)

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4. Fig. 3. Schematic representation of the dynamics of analytical chemistry monitoring. Its individual areas (fronts) are shown as cylinders, the height of which depends on the citation indicators of the relevant publications. At high rates beyond the boundary values, these areas are noticeable at the accepted observation level.

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