
A May 9, 2024 news item on phys.org announces work which makes use of fallen leaves, Note: A link has been removed,
Fabrication of sensors by 3D printing combines speed, freedom of design, and the possibility of using waste as a substrate. Various results have been obtained in a circular economy mode, whereby residues usually thrown away are instead used as low-cost resources.
A highly creative solution involving the printing of electrochemical sensors on fallen tree leaves has now been presented by a team of researchers in Brazil led by Bruno Janegitz, a professor at the Federal University of São Carlos (UFSCar) and head of its Laboratory for Sensors, Nanomedicines, and Nanostructured Materials (LSNANO), and Thiago Paixão, a professor at the University of São Paulo (USP) and head of its Electronic Tongues and Chemical Sensors Lab (L2ESQ).
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A May 8, 2024 Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) press release (also on EurekAlert but published May 9, 2024) by José Tadeu Arantes, Note: Links have been removed,
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The initiative was supported by FAPESP and highlighted in an article published in the journal ACS Sustainable Chemistry & Engineering.
“We used a CO2 [carbon dioxide] laser to print the design of interest on a leaf by means of pyrolysis and carbonization. We thereby obtained an electrochemical sensor for use in determining levels of dopamine and paracetamol. It’s very easy to operate. A drop of the solution containing one of these compounds is placed on the sensor, and the potentiostat to which it’s coupled displays the concentration,” Janegitz said.
Simply put, the laser beam burns the leaf in a pyrolytic process that converts its cellulose into graphite [emphasis mine], and the graphite body is printed on the leaf in a shape suited to functioning as a sensor. During the fabrication process, the parameters of the CO2 laser, including laser power, pyrolysis scan rate and scan gap, are systematically adjusted to achieve optimal outcomes.
“The sensors were characterized by morphological and physicochemical methods, permitting exhaustive exploration of the novel carbonized surface generated on the leaves,” Janegitz said.
“Furthermore, the applicability of the sensors was confirmed by tests involving the detection of dopamine and paracetamol in biological and pharmaceutical samples. For dopamine, the system proved efficient in a linear range of 10–1,200 micromoles per liter, with a detection limit of 1.1 micromole per liter. For paracetamol, the system worked well in a linear range of 5-100 micromoles per liter, with a detection limit of 0.76.”
In the tests involving dopamine and paracetamol, conducted as proof of concept, the electrochemical sensors derived from fallen tree leaves attained a satisfactory analytical performance and noteworthy reproducibility, highlighting their potential as an alternative to conventional substrates.
Substituting fallen tree leaves for conventional materials yields significant gains in terms of cost-cutting and above all environmental sustainability. “The leaves would have been incinerated, or at best composted. Instead, they were used as a substrate for high value-added devices in a major advancement for the fabrication of next-generation electrochemical sensors,” Janegitz said.
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There’s also this, “The Agency FAPESP licenses news via Creative Commons (CC-BY-NC-ND) so that they can be republished free of charge and in a simple way by other digital or printed vehicles.”
Here’s a link to and a citation for the paper,
Green Fabrication and Analytical Application of Disposable Carbon Electrodes Made from Fallen Tree Leaves Using a CO2Laser by Rodrigo Vieira Blasques, Jéssica Rocha Camargo, William Barros Veloso, Gabriel Negrão Meloni, Fernando Amaral Fernandes, Beatriz Fernandes Germinare, Luiz Ricardo Guterres e Silva, Abner de Siervo, Thiago Regis Longo Cesar Paixão, and Bruno Campos Janegitz. ACS Sustainable Chem. Eng. 2024, 12, 8, 3061–3072 DOI: https://doi.org/10.1021/acssuschemeng.3c06526 Publication Date: February 13, 2024 Copyright © 2024 American Chemical Society
This paper is behind a paywall.