Scientific Papers

Publications citing the applications of openQCM (by Novaetech S.r.l.) instruments and accessories in scientific research.

The list of scientific papers published on the most important journals showing the usage of openQCM in several scientific fields, such as thin film deposition, chemical sensors, biological research and biosensors.

Because of the large number of publications, we are reorganizing everything by subject areas. This will take some time. Thank you for your patience

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2025

Beijersbergen, Daan; Charmet, Jérôme

Sample volume as a key design parameter in affinity-based biosensors Miscellaneous

2025.

Abstract | Links | BibTeX | Tags: binding, biomarker, Biosensor, model, openQCM Q-1, optimization, QCM-D, Quartz Crystal Microbalance (QCM), transport, volume

@misc{beijersbergen2025samplevolumekeydesign,

title = {Sample volume as a key design parameter in affinity-based biosensors},

author = {Daan Beijersbergen and Jérôme Charmet},

url = {https://arxiv.org/abs/2512.21997},

doi = {https://doi.org/10.48550/arXiv.2512.21997},

year  = {2025},

date = {2025-12-26},

urldate = {2025-01-01},

abstract = {Affinity-based biosensors have become indispensable in modern diagnostics and health monitoring. While considerable research has focused on optimizing analyte transport and binding kinetics, a fundamental parameter - sample volume - remains largely underexplored in biosensor design. This is critical because biosensor performance depends on the absolute number of target molecules present, not solely their concentration, making volume a key consideration where sample availability is limited. To address this gap, we developed a tractable two-compartment mathematical model integrating simplified mass transport, Langmuir binding kinetics, and mass conservation under finite volume constraints. Validated against experimental measurements and numerical simulations, the model accurately predicts critical performance metrics including assay time and minimum required sample volume while achieving more than a 10,000-fold reduction in computational time compared to commercial simulation packages. Through systematic analysis, we derived quantitative design rules for biosensor optimization that explicitly account for measurement time and sample volume as primary decision variables. We validated this framework experimentally by optimizing flow rate parameters for a quartz crystal microbalance (QCM) biosensor and retrospectively applied it to enhance sensitivity of published biosensor designs. Released as open-source software, our model enables researchers to gain mechanistic insights, optimize device performance, and make informed design decisions tailored to specific healthcare contexts, including point-of-care testing and resource-constrained environments.},

keywords = {binding, biomarker, Biosensor, model, openQCM Q-1, optimization, QCM-D, Quartz Crystal Microbalance (QCM), transport, volume},

pubstate = {published},

tppubtype = {misc}

}

2023

Saffari, Zahra; Cohan, Reza Ahangari; Sepahi, Mina; Sadeqi, Mahdi; Khoobi, Mehdi; Fard, Mojtaba Hamidi; Ghavidel, Amir; Amiri, Fahimeh Bagheri; Aghasadeghi, Mohammad Reza; Norouzian, Dariush

Signal amplification of a quartz crystal microbalance immunosensor by gold nanoparticles-polyethyleneimine for hepatitis B biomarker detection Journal Article

In: Scientific Reports, vol. 13, no. 1, pp. 21851, 2023.

Abstract | Links | BibTeX | Tags: biomarker, hepatitis B, immunosensor, nanoparticles-polyethyleneimine, openQCM, openQCM sensors, QCM

@article{saffari2023signal,

title = {Signal amplification of a quartz crystal microbalance immunosensor by gold nanoparticles-polyethyleneimine for hepatitis B biomarker detection},

author = {Zahra Saffari and Reza Ahangari Cohan and Mina Sepahi and Mahdi Sadeqi and Mehdi Khoobi and Mojtaba Hamidi Fard and Amir Ghavidel and Fahimeh Bagheri Amiri and Mohammad Reza Aghasadeghi and Dariush Norouzian},

url = {https://www.nature.com/articles/s41598-023-48766-2},

doi = {https://doi.org/10.1038/s41598-023-48766-2},

year  = {2023},

date = {2023-12-09},

urldate = {2023-12-09},

journal = {Scientific Reports},

volume = {13},

number = {1},

pages = {21851},

publisher = {Nature Publishing Group UK London},

abstract = {The procedures currently used for hepatitis B (HB) detection are not suitable for screening, clinical diagnosis, and point-of-care testing (POCT). Therefore, we developed and tested a QCM-based immunosensor by surface modification with AuNP-PEIs to amplify the signal and provide an oriented-immobilization surface. The AuNP-PEIs were characterized by ICP-Mass, UV/Vis, DLS, FE-SEM, and ATR-FTIR. After coating AuNP-PEIs on the gold electrode surface, anti-HBsAg antibodies were immobilized using NHS/EDC chemistry based on response surface methodology (RSM) optimization. The efficiency of the immunosensor was assessed by human sera and data were compared to gold-standard ELISA using receiver-operating-characteristic (ROC) analysis. FE-SEM, AFM, EDS, and EDS mapping confirmed AuNP-PEIs are homogeneously distributed on the surface with a high density and purity. After antibody immobilization, the immunosensor exhibited good recognition of HBsAg with a calibration curve of ∆F =  − 6.910e-7x + 10(R2 = 0.9905), a LOD of 1.49 ng/mL, and a LOQ of 4.52 ng/mL. The immunosensor yielded reliable and accurate results with a specificity of 100% (95% CI 47.8–100.0) and sensitivity of 100% (95% CI 96.2–100.0). In conclusion, the fabricated immunosensor has the potential as an analytic tool with high sensitivity and specificity. However, further investigations are needed to convert it to a tiny lab-on-chip for HB diagnosis in clinical samples.},

keywords = {biomarker, hepatitis B, immunosensor, nanoparticles-polyethyleneimine, openQCM, openQCM sensors, QCM},

pubstate = {published},

tppubtype = {article}

}

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Scientific Papers

2025

2023

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