%0 Journal Article %1 WOS:000503419300080 %A da Silva, Giulia S %A de Oliveira, Luiza P %A Costa, Gabriel F %A Giordano, Gabriela F %A Nicoliche, Caroline Y N %A da Silva, Alexandre A %A Khan, Latif U %A da Silva, Gabriela H %A Gobbi, Angelo L %A Silveira, Jose V %A Filho, Antonio G Souza %A Schleder, Gabriel R %A Fazzio, Adalberto %A Martinez, Diego S T %A Lima, Renato S %C PO BOX 564, 1001 LAUSANNE, SWITZERLAND %D 2020 %I ELSEVIER SCIENCE SA %J SENSORS AND ACTUATORS B-CHEMICAL %K Carbon Crude Heavy Stainless-steel; Water; metals; nanotube; oil} tongue; {Electronic %R 10.1016/j.snb.2019.127482 %T Ordinary microfluidic electrodes combined with bulk nanoprobe produce multidimensional electric double-layer capacitances towards metal ion recognition %V 305 %X While multidimensional sensors are powerful platforms towards multitarget analyses, the successive synthesis/fabrication of multiple probes and measurements to each one of these units still damage the device miniaturization, scalability, cost, consumption of samples, operational simplicity, precision, and analysis time. Herein, we describe an electrochemical sensing array that affords the discrimination of metal ions from a single ready-to-use probe and experiment. The sensing probe consisted of commercial stainless-steel capillaries, which defined a microfluidic circuit and acted as electric double-layer parallel capacitors into devices prototyped by a fast, cleanroom-free, and green technique. The probes assured differential responses due to heterogeneous interactions with samples and multichannel capacitance outputs. In addition, we address an effective strategy to further improve the repeatability and recognition ability of the sensor by using oxidized multi-walled carbon nanotubes as a single bulk probe. The nanotubes provided differential electrostatic adsorptions of ions, then increasing the variance of the capacitance responses. The approach was successfully applied in the identification of samples of mineral water, lake, and petroleum according to the presence of metal ions. Using supervised machine learning tasks, the sensor assured reproducible, sensitive, and accurate classification of dozens of lake samples spiked with multiple heavy metals in accordance with their safe limits. Remarkably, simultaneous quantification of the individual concentration of these ions was also possible from universal impedimetric assays by treating the data through multi-output regression. The sensor will be of significance for advanced discriminations from a single ordinary probe and measurement in a direct mode using scalable chips.

@article{WOS:000503419300080, abstract = {While multidimensional sensors are powerful platforms towards multitarget analyses, the successive synthesis/fabrication of multiple probes and measurements to each one of these units still damage the device miniaturization, scalability, cost, consumption of samples, operational simplicity, precision, and analysis time. Herein, we describe an electrochemical sensing array that affords the discrimination of metal ions from a single ready-to-use probe and experiment. The sensing probe consisted of commercial stainless-steel capillaries, which defined a microfluidic circuit and acted as electric double-layer parallel capacitors into devices prototyped by a fast, cleanroom-free, and green technique. The probes assured differential responses due to heterogeneous interactions with samples and multichannel capacitance outputs. In addition, we address an effective strategy to further improve the repeatability and recognition ability of the sensor by using oxidized multi-walled carbon nanotubes as a single bulk probe. The nanotubes provided differential electrostatic adsorptions of ions, then increasing the variance of the capacitance responses. The approach was successfully applied in the identification of samples of mineral water, lake, and petroleum according to the presence of metal ions. Using supervised machine learning tasks, the sensor assured reproducible, sensitive, and accurate classification of dozens of lake samples spiked with multiple heavy metals in accordance with their safe limits. Remarkably, simultaneous quantification of the individual concentration of these ions was also possible from universal impedimetric assays by treating the data through multi-output regression. The sensor will be of significance for advanced discriminations from a single ordinary probe and measurement in a direct mode using scalable chips.}, added-at = {2022-05-23T20:00:14.000+0200}, address = {PO BOX 564, 1001 LAUSANNE, SWITZERLAND}, author = {da Silva, Giulia S and de Oliveira, Luiza P and Costa, Gabriel F and Giordano, Gabriela F and Nicoliche, Caroline Y N and da Silva, Alexandre A and Khan, Latif U and da Silva, Gabriela H and Gobbi, Angelo L and Silveira, Jose V and Filho, Antonio G Souza and Schleder, Gabriel R and Fazzio, Adalberto and Martinez, Diego S T and Lima, Renato S}, biburl = {https://www.bibsonomy.org/bibtex/240a043f4d8fcf5f2e7fed2867232a9ee/ppgfis_ufc_br}, doi = {10.1016/j.snb.2019.127482}, interhash = {7a1e6abc1a2f54d9cb82f17993c0c486}, intrahash = {40a043f4d8fcf5f2e7fed2867232a9ee}, journal = {SENSORS AND ACTUATORS B-CHEMICAL}, keywords = {Carbon Crude Heavy Stainless-steel; Water; metals; nanotube; oil} tongue; {Electronic}, publisher = {ELSEVIER SCIENCE SA}, pubstate = {published}, timestamp = {2022-05-23T20:00:14.000+0200}, title = {Ordinary microfluidic electrodes combined with bulk nanoprobe produce multidimensional electric double-layer capacitances towards metal ion recognition}, tppubtype = {article}, volume = 305, year = 2020 }