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Atomic spectrometry update: review of advances in environmental analysis.

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Title: Atomic spectrometry update: review of advances in environmental analysis.
Authors: Cairns, Warren R. L.1 warrenraymondlee.cairns@cnr.it, Braysher, Emma C.2, Butler, Owen T.3, Cavoura, Olga4, Davidson, Christine M.5, Todoli Torro, Jose Luis6, von der Au, Marcus7
Source: JAAS (Journal of Analytical Atomic Spectrometry). Jan2026, Vol. 41 Issue 1, p16-70. 55p.
Subjects: Environmental sciences, Air analysis, Machine learning, Analytical geochemistry, Atmospheric aerosol measurement, Water analysis, Spectrometry, Laser spectroscopy
Abstract: Highlights in the field of air analysis included: development of laboratory-based particle emission simulators to emulate realworld processes such as tyre-wear abrasion; ongoing performance verification of Hg calibrators; progress in laser and spark emission spectroscopic techniques for in situ aerosol measurements, advances in data processing software tools in supporting sp-ICP-MS measurements, feasibility of using aerosol mass spectrometers for measuring nanoplastics in air, and a comprehensive review of brown carbon aerosols, its sources, optical properties and measurement approaches used. While recent developments in water analysis include significant progress in sp-ICP-MS, including the introduction of new measurement protocols, determination of isotope ratios, and new reference materials. The number of studies employing LIBS for assessing metal burdens in water has also grown notably, particularly with respect to innovations in sample preparation. Advances were further reported in the development of portable analytical devices and systems for continuous environmental water monitoring. In addition, several comprehensive reviews were published, providing guidance for researchers on establishing robust measurement workflows, including split-stream and sp-ICP-MS methodologies. In the analysis of plants and soils, there has been increased interest in deep eutectic solvents as milder and greener alternatives to traditional extractants. Microwave plasma torch mass spectrometry methods have been developed that allowed concurrent measurement of trace elements and organic pollutants in liquid samples. Promising steps have also been taken towards application of techniques for direct analysis of solids. Advances in LIBS have largely focussed on data processing and modelling whilst in XRF, the influence of soil matrix composition on measurement accuracy was highlighted. Quantitative geochemical analysis faces continuous challenges, making the development of new RMs a persistent priority, especially for localized microanalysis. Application of LIBS is gaining increasing interest because of its portability and the use of machine learning tools to improve the quality of the obtained data. Interest is also increasing in the analysis of extraterrestrial samples. Novel ICP-MS instrumentation has offered highly precise isotopic analysis and spectral interference removal. Other important techniques in this review period have been nanoSIMS, NAA, and MS variants because they may provide new and enhanced chemical information. The fusion of data and the significantly increasing application of AI for rapid mineral identification and data integration marks a key trend that is expected to grow exponentially. [ABSTRACT FROM AUTHOR]
Copyright of JAAS (Journal of Analytical Atomic Spectrometry) is the property of Royal Society of Chemistry and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Atomic spectrometry update: review of advances in environmental analysis.
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  Data: <searchLink fieldCode="AR" term="%22Cairns%2C+Warren+R%2E+L%2E%22">Cairns, Warren R. L.</searchLink><relatesTo>1</relatesTo><i> warrenraymondlee.cairns@cnr.it</i><br /><searchLink fieldCode="AR" term="%22Braysher%2C+Emma+C%2E%22">Braysher, Emma C.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Butler%2C+Owen+T%2E%22">Butler, Owen T.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Cavoura%2C+Olga%22">Cavoura, Olga</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Davidson%2C+Christine+M%2E%22">Davidson, Christine M.</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22Todoli+Torro%2C+Jose+Luis%22">Todoli Torro, Jose Luis</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AR" term="%22von+der+Au%2C+Marcus%22">von der Au, Marcus</searchLink><relatesTo>7</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22JAAS+%28Journal+of+Analytical+Atomic+Spectrometry%29%22">JAAS (Journal of Analytical Atomic Spectrometry)</searchLink>. Jan2026, Vol. 41 Issue 1, p16-70. 55p.
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  Data: <searchLink fieldCode="DE" term="%22Environmental+sciences%22">Environmental sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Air+analysis%22">Air analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Analytical+geochemistry%22">Analytical geochemistry</searchLink><br /><searchLink fieldCode="DE" term="%22Atmospheric+aerosol+measurement%22">Atmospheric aerosol measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Water+analysis%22">Water analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Spectrometry%22">Spectrometry</searchLink><br /><searchLink fieldCode="DE" term="%22Laser+spectroscopy%22">Laser spectroscopy</searchLink>
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  Data: Highlights in the field of air analysis included: development of laboratory-based particle emission simulators to emulate realworld processes such as tyre-wear abrasion; ongoing performance verification of Hg calibrators; progress in laser and spark emission spectroscopic techniques for in situ aerosol measurements, advances in data processing software tools in supporting sp-ICP-MS measurements, feasibility of using aerosol mass spectrometers for measuring nanoplastics in air, and a comprehensive review of brown carbon aerosols, its sources, optical properties and measurement approaches used. While recent developments in water analysis include significant progress in sp-ICP-MS, including the introduction of new measurement protocols, determination of isotope ratios, and new reference materials. The number of studies employing LIBS for assessing metal burdens in water has also grown notably, particularly with respect to innovations in sample preparation. Advances were further reported in the development of portable analytical devices and systems for continuous environmental water monitoring. In addition, several comprehensive reviews were published, providing guidance for researchers on establishing robust measurement workflows, including split-stream and sp-ICP-MS methodologies. In the analysis of plants and soils, there has been increased interest in deep eutectic solvents as milder and greener alternatives to traditional extractants. Microwave plasma torch mass spectrometry methods have been developed that allowed concurrent measurement of trace elements and organic pollutants in liquid samples. Promising steps have also been taken towards application of techniques for direct analysis of solids. Advances in LIBS have largely focussed on data processing and modelling whilst in XRF, the influence of soil matrix composition on measurement accuracy was highlighted. Quantitative geochemical analysis faces continuous challenges, making the development of new RMs a persistent priority, especially for localized microanalysis. Application of LIBS is gaining increasing interest because of its portability and the use of machine learning tools to improve the quality of the obtained data. Interest is also increasing in the analysis of extraterrestrial samples. Novel ICP-MS instrumentation has offered highly precise isotopic analysis and spectral interference removal. Other important techniques in this review period have been nanoSIMS, NAA, and MS variants because they may provide new and enhanced chemical information. The fusion of data and the significantly increasing application of AI for rapid mineral identification and data integration marks a key trend that is expected to grow exponentially. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of JAAS (Journal of Analytical Atomic Spectrometry) is the property of Royal Society of Chemistry and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1039/d5ja90058a
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 55
        StartPage: 16
    Subjects:
      – SubjectFull: Environmental sciences
        Type: general
      – SubjectFull: Air analysis
        Type: general
      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Analytical geochemistry
        Type: general
      – SubjectFull: Atmospheric aerosol measurement
        Type: general
      – SubjectFull: Water analysis
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      – SubjectFull: Spectrometry
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      – SubjectFull: Laser spectroscopy
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      – TitleFull: Atomic spectrometry update: review of advances in environmental analysis.
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              M: 01
              Text: Jan2026
              Type: published
              Y: 2026
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