Herein, we report the environmental impact quantification of a newly developed fully printed electrochemical device to assist a colorimetric detection of phosphate in saliva. The evaluation of the analytical procedure was per formed according to the principles of Green Analytical Chemistry and White Analytical Chemistry. The standard method for phosphate detection relies on a reaction between phosphate and molybdate in presence of antimony potassium tartrate and ascorbic acid, using strong acid conditions and high volumes of reagents (100–500 mL). To deliver an eco-friendly method, we have combined a screen-printed electrode with a liquid electrolyte battery and inkjet-printed conductive paths to develop a fully printed device on a flexible polymer substrate avoiding the use of ascorbic acid and using a small amount of reagents. The printed sensor was first developed and optimized for phosphate detection in saliva, allowing for a detection limit equal to 26 μM and satisfactory repeatability (relative standard deviation value of 7.5%). Finally, the AGREE and the RGB assessment tools were applied for a quantitative evaluation of the proposed sensor and reference method, in agreement with the Green Analytical and White Analytical principles. The results demonstrated the lower environmental impact of the proposed sensor, as well as the suitability of this novel approach for phosphate detection in saliva

Mazzaracchio, V., Sassolini, A., Mitra, K.y., Mitra, D., Stojanović, G.m., Willert, A., et al. (2022). A fully-printed electrochemical platform for assisted colorimetric detection of phosphate in saliva: Greenness and whiteness quantification by the AGREE and RGB tools. GREEN ANALYTICAL CHEMISTRY, 1 [10.1016/j.greeac.2022.100006].

A fully-printed electrochemical platform for assisted colorimetric detection of phosphate in saliva: Greenness and whiteness quantification by the AGREE and RGB tools

Vincenzo Mazzaracchio;Alessandro Sassolini;Danila Moscone;Fabiana Arduini
2022

Abstract

Herein, we report the environmental impact quantification of a newly developed fully printed electrochemical device to assist a colorimetric detection of phosphate in saliva. The evaluation of the analytical procedure was per formed according to the principles of Green Analytical Chemistry and White Analytical Chemistry. The standard method for phosphate detection relies on a reaction between phosphate and molybdate in presence of antimony potassium tartrate and ascorbic acid, using strong acid conditions and high volumes of reagents (100–500 mL). To deliver an eco-friendly method, we have combined a screen-printed electrode with a liquid electrolyte battery and inkjet-printed conductive paths to develop a fully printed device on a flexible polymer substrate avoiding the use of ascorbic acid and using a small amount of reagents. The printed sensor was first developed and optimized for phosphate detection in saliva, allowing for a detection limit equal to 26 μM and satisfactory repeatability (relative standard deviation value of 7.5%). Finally, the AGREE and the RGB assessment tools were applied for a quantitative evaluation of the proposed sensor and reference method, in agreement with the Green Analytical and White Analytical principles. The results demonstrated the lower environmental impact of the proposed sensor, as well as the suitability of this novel approach for phosphate detection in saliva
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore CHIM/01
English
Con Impact Factor ISI
Printed battery; Screen-printed electrodes; Microplate reader; Green analytical chemistry; White analytical chemistry; Assessment tool
PRIN 2017 prot. 2017Y2PAB8_004 project “Cutting Edge Analytical Chemistry Methodologies and Bio-Tools to Boost Precision Medicine in Hormone Related Diseases”
Mazzaracchio, V., Sassolini, A., Mitra, K.y., Mitra, D., Stojanović, G.m., Willert, A., et al. (2022). A fully-printed electrochemical platform for assisted colorimetric detection of phosphate in saliva: Greenness and whiteness quantification by the AGREE and RGB tools. GREEN ANALYTICAL CHEMISTRY, 1 [10.1016/j.greeac.2022.100006].
Mazzaracchio, V; Sassolini, A; Mitra, Ky; Mitra, D; Stojanović, Gm; Willert, A; Sowade, E; Baumann, Rr; Zichner, R; MOSCONE DINIA, D; Arduini, F
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2108/303694
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