Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

A Self-Calibrated Laser-Induced Breakdown Spectroscopy Sensor Enables In-Flight Quantitative Elemental Analysis Onboard an Unmanned Aerial Vehicle.

Created on 28 Oct 2026

Authors

Alessandro De Giacomo, Aya Taleb, Marcella Dell'Aglio, Marco La Salandra, Piero Dellino

Published in

ACS sensors. Oct 27, 2026. Epub Oct 27, 2026.

Abstract

Quantitative atomic spectroscopy has long remained incompatible with remote elemental analysis measurement on an unmanned aerial vehicle (UAV) because it fundamentally relies on reproducible experimental conditions. Here, we introduce a self-calibrated laser-induced breakdown spectroscopy (LIBS) strategy that overcomes this limitation by retrieving both instrumental calibration and elemental quantification directly from each measured plasma emission spectrum, eliminating the need for reproducible measurement conditions, external calibration standards, and matrix-matched references. We demonstrate the approach using a compact airborne LIBS sensor integrated on a UAV, enabling quantitative stand-off elemental analysis during flight at a 3-5 m distance. The methodology is intrinsically robust against variations in laser focusing, target distance, platform motion, and environmental conditions because quantitative information is derived from the fundamental properties of the laser-induced plasma rather than from externally calibrated measurement conditions. Quantitative in-flight measurements on metallic alloys and soils demonstrate reliable elemental analysis under realistic operating conditions. The developed airborne LIBS and the proposed strategy establish a general framework for quantitative atomic spectroscopy under dynamic conditions, opening new opportunities for autonomous elemental sensing in environmental monitoring, geochemical exploration, precision agriculture, planetary exploration, and emergency response.

PMID:
42945496
Bibliographic data and abstract were imported from PubMed on 28 Oct 2026.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 9
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement