Study of a Low-cost Sensitive Point-of-Care Testing System using Screen Printed Biosensors for Early Biomarkers Detection Related to Alzheimer Disease

Sarah Tonello, Mauro Serpelloni, Nicola Francesco Lopomo, Giulia Abate, Daniela Uberti, Emilio Sardini


Among neurodegenerative diseases, Alzheimer Disease (AD) represents one of the most serious pathology, for which an early diagnosis is still missing. A peculiar expression of an altered conformational isoform of p53 protein was reported to be a biomarker able to distinguish AD subjects from healthy population, quantifiable using a blood-based enzyme-linked immunosorbent assay (ELISA). In order to overcome ELISA limitations related to reliability and to improve sensitivity, this study aimed to realize a low cost highly sensitive portable point-of-care (PoC) testing system based on screen printed electrochemical sensors (SPES). The development of the platform specifically included both the design of the sensing probe and of the electronic circuit devoted to the conditioning and acquisition of the transduced electric signal. In particular, silver, carbon and silver-silver chloride were selected respectively to realize conductive tracks, working and counter electrodes, reference electrode in a three-electrodes configuration focusing on Anodic Stripping Voltammetry (ASV). The conditioning circuit was designed following the scheme for a common potentiostat, and produced as a Printed Circuit Board (PCB). Initial testing of the circuit were performed recording changes in the conductivity of NaCl solution and quantifying electrodes coating with antibodies using Electrochemical Impedance Spectroscopy (EIS) principle. Preliminary results obtained with saline solution, showed the ability of the circuit to give the best response corresponding to low changes in NaCl concentration (sensitivity 13 mA/(mg/ml)), suggesting a good sensitivity of the platform. Results from EIS showed the ability of the circuit to discriminate between different concentrations of antibodies coatings (sensitivity 70 mA/µg). The study is on-going and after a proper calibration, the circuit is intended to be optimized to quantify unknown concentration of unfolded p53 in samples of real patients, compared results with the one from ELISA analysis, aiming to realize a low cost, easy usable and highly precise platform.


  1. Buizza, L. et al., 2012. Conformational Altered p53 as an Early Marker of Oxidative Stress in Alzheimer 78 s Disease. , 7(1), pp.1-11.
  2. Chan, K.C.A. et al., 2013. Cancer Genome Scanning in Plasma?: Detection of Tumor-Associated Copy Number Aberrations , Single-Nucleotide Variants , and Tumoral Heterogeneity by Massively Parallel Sequencing. , 224, pp.211-224.
  3. Dhawan, A.P. et al., 2015. Current and Future Challenges in Point-of-Care Technologies: A Paradigm-Shift in Affordable Global Healthcare With Personalized and Preventive Medicine. Translational Engineering in Health and Medicine, IEEE Journal of, 3, pp.1-10.
  4. Elshafey, R. et al., 2013. Electrochemical impedance immunosensor based on gold nanoparticles-protein G for the detection of cancer marker epidermal growth factor receptor in human plasma and brain tissue. Biosensors & bioelectronics, 50, pp.143-9. Available at:
  5. Escamilla-Gómez, V. et al., 2009. Simultaneous detection of free and total prostate specific antigen on a screenprinted electrochemical dual sensor. Biosensors and Bioelectronics, 24, pp.2678-2683.
  6. Feng, S., Roseng, L.E. & Dong, T., 2015. Quantitative detection of Escherichia coli and measurement of urinary tract infection diagnosis possibility by use of a portable, handheld sensor. Medical Measurements and Applications (MeMeA), 2015 IEEE International Symposium on, pp.586-589.
  7. Humpel, C., 2011. Identifying and validating biomarkers for Alzheimer's disease. Trends in Biotechnology, 29(1), pp.26-32. Available at: http://
  8. Jacobs, J. et al., 2014. Harmonization of malaria rapid diagnostic tests?: best practices in labelling including instructions for use. , pp.1-10.
  9. Jeong, B. et al., 2013. Increased Electrocatalyzed Performance through Dendrimer- Encapsulated Gold Nanoparticles and Carbon Nanotube-Assisted Multiple Bienzymatic Labels: Highly Sensitive Electrochemical Immunosensor for Protein Detection.
  10. Jr, C. R. J. et al., 2010. Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade. 9(1), pp.1-20.
  11. Kara, P. et al., 2010. Aptamers based electrochemical biosensor for protein detection using carbon nanotubes platforms. Biosensors and Bioelectronics, 26, pp.1715- 1718.
  12. Lanni, C. et al., 2008. Conformationally altered p53?: a novel Alzheimer 78 s disease marker?? , pp.641-647.
  13. Martínez-Paredes, G., González-García, M.B. & CostaGarcía, A., 2010. Genosensor for detection of four pneumoniae bacteria using gold nanostructured screenprinted carbon electrodes as transducers. Sensors and Actuators, B: Chemical, 149, pp.329-335.
  14. Polese, D. et al., 2014. Investigation on nanostructured biosensor for Biotin detection. SENSORS, 2014 IEEE, pp.1627-1630.
  15. Silva, M.M.S. et al., 2014. A thiophene-modified screen printed electrode for detection of dengue virus NS1 protein. Talanta, 128, pp.505-510. Available at:
  16. Song, M.J. et al., 2014. Electrochemical serotonin monitoring of poly(ethylenedioxythiophene): Poly(sodium 4-styrenesulfonate)-modified fluorinedoped tin oxide by predeposition of self-assembled 4- pyridylporphyrin. Biosensors and Bioelectronics, 52, pp.411-416. Available at:
  17. Svobodova, Z. et al., 2012. Development of a magnetic immunosorbent for on-chip preconcentration of amyloid b isoforms?: Representatives of Alzheimer 78 s disease biomarkers. , 024126, pp.1-12.
  18. Thal, L.J. et al., 2006. The Role of Biomarkers in Clinical Trials for Alzheimer Disease. Alzheimer disease and associated disorders, 20(1), pp.6-15. Available at: 55/.
  19. Uberti, D. et al., 2006. Identification of a mutant-like conformation of p53 in fibroblasts from sporadic Alzheimer 78 s disease patients. , 27, pp.1193-1201.
  20. Yager, P., Domingo, G.J. & Gerdes, J., 2008. Point-of-care diagnostics for global health. Annual review of biomedical engineering, 10, pp.107-144.
  21. Yun, Y.H. et al., 2011. A glucose sensor fabricated by piezoelectric inkjet printing of conducting polymers and bienzymes. Analytical sciences?: the international journal of the Japan Society for Analytical Chemistry, 27(4), p.375.

Paper Citation

in Harvard Style

Tonello S., Serpelloni M., Lopomo N., Abate G., Uberti D. and Sardini E. (2016). Study of a Low-cost Sensitive Point-of-Care Testing System using Screen Printed Biosensors for Early Biomarkers Detection Related to Alzheimer Disease . In Doctoral Consortium - DCBIOSTEC, ISBN , pages 15-23

in Bibtex Style

author={Sarah Tonello and Mauro Serpelloni and Nicola Francesco Lopomo and Giulia Abate and Daniela Uberti and Emilio Sardini},
title={Study of a Low-cost Sensitive Point-of-Care Testing System using Screen Printed Biosensors for Early Biomarkers Detection Related to Alzheimer Disease},
booktitle={Doctoral Consortium - DCBIOSTEC,},

in EndNote Style

JO - Doctoral Consortium - DCBIOSTEC,
TI - Study of a Low-cost Sensitive Point-of-Care Testing System using Screen Printed Biosensors for Early Biomarkers Detection Related to Alzheimer Disease
SN -
AU - Tonello S.
AU - Serpelloni M.
AU - Lopomo N.
AU - Abate G.
AU - Uberti D.
AU - Sardini E.
PY - 2016
SP - 15
EP - 23
DO -