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Continuous measurements of volatile gases as detection of algae crop health

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Oct 2021 United States Publisher:Proceedings of the National Academy of SciencesJournal:Proceedings of the National Academy of Sciences, volume 118 (issn: 0027-8424, eissn: 1091-6490,

Authors: Jon S. Sauer; Ryan Simkovsky; Alexia N. Moore; Luis Camarda; Summer L. Sherman; Kimberly A. Prather; Robert S. Pomeroy;

doi: 10.1073/pnas.2106882118

pmid: 34599100

pmc: PMC8501783

Continuous measurements of volatile gases as detection of algae crop health

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Abstract

Significance Wide adoption of algae cultivation to produce environmentally sustainable biofuels and fine chemicals is currently hampered by large losses (10 to 30%) incurred by grazer infections. We show the usage of real-time chemical ionization mass spectrometry to rapidly identify gaseous indicators of grazer infections in cyanobacteria cultures. Grazing was detected significantly faster (up to 3 d) using real-time mass spectrometry than the current methods of microscopy and qPCR. By employing this technology, cultivators may be empowered to treat grazer infestations sooner, thereby protecting the crop and enhancing profitability.

Country

United States

Related Organizations

University of California, San Diego
United States
University of California System
United States

Keywords

571, algal grazers, Cyanobacteria, chemical ionization, Good Health and Well Being, volatile organic compounds, Biofuels, Biomass, Gases, Ponds, crop protection

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	12
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%