Identification of bacteria by poly-aromatic hydrocarbon biosensors

Shlosberg, Yaniv; Farber, Yair; Hasson, Salah; Bulatov, Valery; Schechter, Israël

doi:10.1007/s00216-022-03947-2

Cited by 2 publications

(1 citation statement)

References 66 publications

(73 reference statements)

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“…2a). The spectral fingerprints of the amino acids Tyrosine and Tryptophan (Tyr + Trp) (λ Ex max= 280 nm, λ Em max = 350 nm)(Shlosberg et al, 2021a), NADPH (λ Ex max= 280 nm, λ Em max= 350 nm)(Shlosberg et al, 2020), and chlorophyll a (λ Ex max= 480nm, λ Em max = 690 nm)(Shlosberg et al, 2020) were identified. Intact spinach cuttings and cuttings grasped by the non-sharp edge of the anode clips (as in the BPEC setup, Fig.…”

Section: Methodsmentioning

confidence: 99%

Production of photocurrent and hydrogen gas from intact plant leaves

Shlosberg¹,

Meirovitch²,

Yehezkeli³

et al. 2021

Preprint

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Efforts to replace fossil fuels with renewable energy technologies, especially solar energy conversion, continue to improve the potential to produce useful amounts of energy without significant pollution. Utilization of photosynthetic organisms in bio-photo electrochemical cells (BPECs) are a potentially important source of clean energy. Here, we show that it is possible to harvest photocurrent directly from unprocessed plant tissues in specialized BPECs. The source of electrons are shown to originate from the Photosystem II water-oxidation reaction that results in oxygen evolution. In addition to terrestrial and crop plants, we further demonstrate the ability of the desert plant Corpuscularia lehmannii to produce bias-free photocurrent without the addition of an external electrolyte. Finally, we show the use of pond-grown water lilies to generate photocurrent. Different leaves produce photocurrent densities in the range of 1 to 10 mA / cm2 which is significantly higher than microorganism-based BPECs. The relatively high photocurrent and the simplicity of the plants BPEC may pave the way toward the establishment of first applicative photosynthetic based energy technologies.

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Section: Methodsmentioning

confidence: 99%