Papers

2

Total Citations

84

H-Index

2

About

Alessandro Bonari is a leading figure in analytical chemistry, with a focused expertise in the development and automation of sample preparation techniques, particularly solid-phase microextraction (SPME). His major contributions lie in advancing the practical application of SPME, a field he has helped modernize through comprehensive reviews and novel method development. His most-cited work, "Advanced Solid‐Phase Microextraction Techniques and Related Automation: A Review of Commercially Available Technologies" (2022, 64 citations), provides a critical, up-to-date map of the fourteen commercially available SPME techniques, highlighting a resurgence in the field driven by the demand for miniaturized and automated sample preparation. This review has become an essential resource for researchers seeking to navigate and implement modern SPME solutions. Bonari also demonstrates a strong commitment to occupational and environmental health, as seen in his work "Development of an innovative gas chromatography-mass spectrometry method for assessment of formaldehyde in the workplace atmosphere" (2017, 20 citations). This study addresses a pressing real-world need by creating a reliable method to monitor formaldehyde, a high-volume industrial chemical with newly tightened regulatory classifications. Through this blend of foundational review and targeted application, Bonari has established himself as a key contributor to making analytical chemistry more efficient, automated, and responsive to safety standards.

Research Focus

Key Achievements

2
H-Index
2
Papers
84
Total Citations
42
Avg Citations/Paper
🏆 Most Cited Paper
Advanced Solid‐Phase Microextraction Techniques and Related Automation: A Review of Commercially Available Technologies
64 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Azienda Ospedaliero-Universitaria Careggi, University of Florence

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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