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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
2024
Prasetya, Nicholaus; Okur, Salih
Investigation of the Free-Base Zr-Porphyrin MOFs as Humidity Sensors for an Indoor Setting Journal Article
In: 2024.
Abstract | Links | BibTeX | Tags: Adsorption, humidity, openQCM, QCM, QCM sensor, Zr-porphyrin metal organic frameworks
@article{prasetya2024investigation,
title = {Investigation of the Free-Base Zr-Porphyrin MOFs as Humidity Sensors for an Indoor Setting},
author = {Nicholaus Prasetya and Salih Okur},
url = {https://chemrxiv.org/engage/chemrxiv/article-details/6608e3c466c138172950e040},
doi = {https://doi.org/10.26434/chemrxiv-2024-1jwr7},
year = {2024},
date = {2024-04-01},
urldate = {2024-04-01},
abstract = {Maintaining optimal relative humidity is paramount for human comfort. Therefore, the utilization of quartz crystal microbalance (QCM) as a humidity sensor platform holds significant promise due to its cost-effectiveness and high sensitivity. This study explores the efficacy of three free-base Zr porphyrin metal-organic frameworks (MOFs) - namely MOF-525, MOF-545, and NU-902 - as sensitive materials for QCM-based humidity sensors. Our extended experimental findings reveal that these materials exhibit notable sensitivity, particularly within relative humidity ranges of 40% to 100%. However, we observe potential irreversible adsorption sites within the MOF-545 framework, hindering its ability to revert to its initial state after prolonged exposure. In light of this observation, we conduct periodic cycling experiments at relative humidity levels of 40-70% to evaluate the measurement repeatability and feasibility of these sensors for indoor applications. Interestingly, the periodic cycling study demonstrates that MOF-545 shows promising repeatability, positioning it as a strong contender for indoor humidity sensing. In contrast, MOF-525 may necessitate extended desorption time, and NU-902 displays diminished sensitivity at low relative humidity levels. Nevertheless, a preliminary treatment of the MOF-545 QCM sensor may be necessary to address irreversible adsorption sites and uphold measurement repeatability, as only reversible adsorption sites are currently accessible. This study underscores the potential of MOF-based QCM sensors for effective humidity monitoring in indoor environments, thus facilitating improved comfort and environmental control.},
keywords = {Adsorption, humidity, openQCM, QCM, QCM sensor, Zr-porphyrin metal organic frameworks},
pubstate = {published},
tppubtype = {article}
}
Maintaining optimal relative humidity is paramount for human comfort. Therefore, the utilization of quartz crystal microbalance (QCM) as a humidity sensor platform holds significant promise due to its cost-effectiveness and high sensitivity. This study explores the efficacy of three free-base Zr porphyrin metal-organic frameworks (MOFs) - namely MOF-525, MOF-545, and NU-902 - as sensitive materials for QCM-based humidity sensors. Our extended experimental findings reveal that these materials exhibit notable sensitivity, particularly within relative humidity ranges of 40% to 100%. However, we observe potential irreversible adsorption sites within the MOF-545 framework, hindering its ability to revert to its initial state after prolonged exposure. In light of this observation, we conduct periodic cycling experiments at relative humidity levels of 40-70% to evaluate the measurement repeatability and feasibility of these sensors for indoor applications. Interestingly, the periodic cycling study demonstrates that MOF-545 shows promising repeatability, positioning it as a strong contender for indoor humidity sensing. In contrast, MOF-525 may necessitate extended desorption time, and NU-902 displays diminished sensitivity at low relative humidity levels. Nevertheless, a preliminary treatment of the MOF-545 QCM sensor may be necessary to address irreversible adsorption sites and uphold measurement repeatability, as only reversible adsorption sites are currently accessible. This study underscores the potential of MOF-based QCM sensors for effective humidity monitoring in indoor environments, thus facilitating improved comfort and environmental control.
Sehit, Ekin; Yao, Guiyang; Battocchio, Giovanni; Radfar, Rahil; Trimpert, Jakob; Mroginski, Maria A; Süssmuth, Roderich; Altintas, Zeynep
In: ACS sensors, 2024.
Abstract | Links | BibTeX | Tags: Antigens, Drinking water, epitope imprinting, in silico-designed epitope-mediated adenovirus receptors, molecular dynamics, Monomers, openQCM Q-1, QCM, QCM sensor, Receptors, sensors, virus detection
@article{sehit2024computationally,
title = {Computationally Designed Epitope-Mediated Imprinted Polymers versus Conventional Epitope Imprints for the Detection of Human Adenovirus in Water and Human Serum Samples},
author = {Ekin Sehit and Guiyang Yao and Giovanni Battocchio and Rahil Radfar and Jakob Trimpert and Maria A Mroginski and Roderich Süssmuth and Zeynep Altintas},
url = {https://pubs.acs.org/doi/full/10.1021/acssensors.3c02374},
doi = {https://doi.org/10.1021/acssensors.3c02374},
year = {2024},
date = {2024-03-15},
urldate = {2024-03-15},
journal = {ACS sensors},
publisher = {ACS Publications},
abstract = {Detection of pathogenic viruses for point-of-care applications has attracted great attention since the COVID-19 pandemic. Current virus diagnostic tools are laborious and expensive, while requiring medically trained staff. Although user-friendly and cost-effective biosensors are utilized for virus detection, many of them rely on recognition elements that suffer major drawbacks. Herein, computationally designed epitope-imprinted polymers (eIPs) are conjugated with a portable piezoelectric sensing platform to establish a sensitive and robust biosensor for the human pathogenic adenovirus (HAdV). The template epitope is selected from the knob part of the HAdV capsid, ensuring surface accessibility. Computational simulations are performed to evaluate the conformational stability of the selected epitope. Further, molecular dynamics simulations are executed to investigate the interactions between the epitope and the different functional monomers for the smart design of eIPs. The HAdV epitope is imprinted via the solid-phase synthesis method to produce eIPs using in silico-selected ingredients. The synthetic receptors show a remarkable detection sensitivity (LOD: 102 pfu mL–1) and affinity (dissociation constant (Kd): 6.48 × 10–12 M) for HAdV. Moreover, the computational eIPs lead to around twofold improved binding behavior than the eIPs synthesized with a well-established conventional recipe. The proposed computational strategy holds enormous potential for the intelligent design of ultrasensitive imprinted polymer binders.},
keywords = {Antigens, Drinking water, epitope imprinting, in silico-designed epitope-mediated adenovirus receptors, molecular dynamics, Monomers, openQCM Q-1, QCM, QCM sensor, Receptors, sensors, virus detection},
pubstate = {published},
tppubtype = {article}
}
Detection of pathogenic viruses for point-of-care applications has attracted great attention since the COVID-19 pandemic. Current virus diagnostic tools are laborious and expensive, while requiring medically trained staff. Although user-friendly and cost-effective biosensors are utilized for virus detection, many of them rely on recognition elements that suffer major drawbacks. Herein, computationally designed epitope-imprinted polymers (eIPs) are conjugated with a portable piezoelectric sensing platform to establish a sensitive and robust biosensor for the human pathogenic adenovirus (HAdV). The template epitope is selected from the knob part of the HAdV capsid, ensuring surface accessibility. Computational simulations are performed to evaluate the conformational stability of the selected epitope. Further, molecular dynamics simulations are executed to investigate the interactions between the epitope and the different functional monomers for the smart design of eIPs. The HAdV epitope is imprinted via the solid-phase synthesis method to produce eIPs using in silico-selected ingredients. The synthetic receptors show a remarkable detection sensitivity (LOD: 102 pfu mL–1) and affinity (dissociation constant (Kd): 6.48 × 10–12 M) for HAdV. Moreover, the computational eIPs lead to around twofold improved binding behavior than the eIPs synthesized with a well-established conventional recipe. The proposed computational strategy holds enormous potential for the intelligent design of ultrasensitive imprinted polymer binders.
2023
Javadzadehkalkhoran, Majid; Trabzon, Levent
Preparation and Characterization of Affordable Experimental Sensors Array for Particulate Matter Sensing Journal Article
In: 2023.
Abstract | Links | BibTeX | Tags: openQCM, openQCM Q-1, Particulate matter, PM generator, PM test setup, QCM, QCM sensor, Sensor array
@article{javadzadehkalkhoran2023preparation,
title = {Preparation and Characterization of Affordable Experimental Sensors Array for Particulate Matter Sensing},
author = {Majid Javadzadehkalkhoran and Levent Trabzon},
url = {https://www.researchsquare.com/article/rs-3654975/v1},
doi = {https://doi.org/10.21203/rs.3.rs-3654975/v1},
year = {2023},
date = {2023-12-06},
urldate = {2023-12-06},
abstract = {Interest for particulate matter (PM) sensors has increased significantly during last decade. Having a proper experimental setup to test these sensors is necessary. Most of the devices that are used in the PM test setups for both PM generating and measuring are bulky and expensive. In this study a cost-effective experimental setup has been designed with a custom made PM generator and small size laser and quartz crystal microbalance (QCM) sensors. The generator has the capability of producing PM from three different sources: dry powder, liquid suspension and combustion. The QCM completes the weakness of small laser sensors for sensing the ultra-fine particles. Moreover, performance of the QCM sensor has been investigated with different PM sources and different ambient conditions. It has been found that the response of QCM could be affected from PM source and ambient condition. The change in PM composition and size causes notable impact on QCM response. Relative humidity (RH) also could change the sensor response up to 22%. While changing the temperature of the flow has not significant effect on QCM response, increasing the temperature from 25°C to 30°C caused 12% change in QCM response in grease-coated one. The QCM sensor has the best response with small size smoke PM’s with lowest effect from ambient conditions.},
keywords = {openQCM, openQCM Q-1, Particulate matter, PM generator, PM test setup, QCM, QCM sensor, Sensor array},
pubstate = {published},
tppubtype = {article}
}
Interest for particulate matter (PM) sensors has increased significantly during last decade. Having a proper experimental setup to test these sensors is necessary. Most of the devices that are used in the PM test setups for both PM generating and measuring are bulky and expensive. In this study a cost-effective experimental setup has been designed with a custom made PM generator and small size laser and quartz crystal microbalance (QCM) sensors. The generator has the capability of producing PM from three different sources: dry powder, liquid suspension and combustion. The QCM completes the weakness of small laser sensors for sensing the ultra-fine particles. Moreover, performance of the QCM sensor has been investigated with different PM sources and different ambient conditions. It has been found that the response of QCM could be affected from PM source and ambient condition. The change in PM composition and size causes notable impact on QCM response. Relative humidity (RH) also could change the sensor response up to 22%. While changing the temperature of the flow has not significant effect on QCM response, increasing the temperature from 25°C to 30°C caused 12% change in QCM response in grease-coated one. The QCM sensor has the best response with small size smoke PM’s with lowest effect from ambient conditions.
Stuart, Daniel David
Advancing Label Free Detection Techniques Through Surface Based Sensing and Machine Learning PhD Thesis
University of California, Riverside, 2023.
Abstract | Links | BibTeX | Tags: openQCM, openQCM Q-1, QCM, QCM sensor, QCM-D, SARS-CoV-2
@phdthesis{stuart2023advancing,
title = {Advancing Label Free Detection Techniques Through Surface Based Sensing and Machine Learning},
author = {Daniel David Stuart},
url = {https://escholarship.org/uc/item/2cr290xf},
year = {2023},
date = {2023-12-01},
urldate = {2023-12-01},
school = {University of California, Riverside},
abstract = {High-performing sensors have played a pivotal role in expanding our understanding of biological systems, disease diagnosis, environmental monitoring, and national security. The technical capability they provide has enabled us to obtain in-depth information and insights towards improving human health. One area of sensing that exemplifies this progress is the development of label free sensors which allow direct analysis of molecular interactions. Among these methods surface plasmon resonance (SPR) has emerged as a powerful, real-time detection technique for studies of biological interactions, drug discovery, and other important aspects that lead to new disease diagnosis. Through the implementation of new materials and methods SPR and other label-free sensors have expanded the range of analytes tested. This Dissertation aims to establish improvements in materials and methodologies through technology advancement for solving current sensor limitations. The work focuses on enhancing sensing signal while limiting the impact of nonspecific interactions on label-free methods, providing expanded molecular identity information, and overcoming challenges encountered when detecting small molecules. Chapters 2, 3, and 4 demonstrate advancements in unique biomimetic surfaces to enable the exploration of new biological systems as well as block nonspecific interactions. Chapter 2 focuses on a tethered membrane system to promote incorporation of relevant constituents into lipid bilayers without compromising membrane mobility property and drug delivery interactions. Chapter 3 employs a charged membrane to suppress nonspecific interactions and explores the working mechanism. Chapter 4 expands the capabilities of label-free sensing systems through development of curved membrane platforms that mitigate the decay limits through modeling of lipid distribution in vesicles. Chapter 5 exploits the plasmonic properties of SPR chips to enhance signals in matrix assisted laser desorption ionization mass spectrometry (MALDI-MS) , which is further facilitated with development of machine learning models to identify bacterial species. In Chapter 6, the limitation of small molecule analysis with SPR is tackled by taking advantage of pressure effects to provide specific gas sensing. Each of these Chapters provides novel advancements in sensing capabilities by addressing performance-impairing limitations in label-free sensors. Research goals are achieved both from improvements to SPR systems and incorporation of other methodologies to augment SPR results.},
keywords = {openQCM, openQCM Q-1, QCM, QCM sensor, QCM-D, SARS-CoV-2},
pubstate = {published},
tppubtype = {phdthesis}
}
High-performing sensors have played a pivotal role in expanding our understanding of biological systems, disease diagnosis, environmental monitoring, and national security. The technical capability they provide has enabled us to obtain in-depth information and insights towards improving human health. One area of sensing that exemplifies this progress is the development of label free sensors which allow direct analysis of molecular interactions. Among these methods surface plasmon resonance (SPR) has emerged as a powerful, real-time detection technique for studies of biological interactions, drug discovery, and other important aspects that lead to new disease diagnosis. Through the implementation of new materials and methods SPR and other label-free sensors have expanded the range of analytes tested. This Dissertation aims to establish improvements in materials and methodologies through technology advancement for solving current sensor limitations. The work focuses on enhancing sensing signal while limiting the impact of nonspecific interactions on label-free methods, providing expanded molecular identity information, and overcoming challenges encountered when detecting small molecules. Chapters 2, 3, and 4 demonstrate advancements in unique biomimetic surfaces to enable the exploration of new biological systems as well as block nonspecific interactions. Chapter 2 focuses on a tethered membrane system to promote incorporation of relevant constituents into lipid bilayers without compromising membrane mobility property and drug delivery interactions. Chapter 3 employs a charged membrane to suppress nonspecific interactions and explores the working mechanism. Chapter 4 expands the capabilities of label-free sensing systems through development of curved membrane platforms that mitigate the decay limits through modeling of lipid distribution in vesicles. Chapter 5 exploits the plasmonic properties of SPR chips to enhance signals in matrix assisted laser desorption ionization mass spectrometry (MALDI-MS) , which is further facilitated with development of machine learning models to identify bacterial species. In Chapter 6, the limitation of small molecule analysis with SPR is tackled by taking advantage of pressure effects to provide specific gas sensing. Each of these Chapters provides novel advancements in sensing capabilities by addressing performance-impairing limitations in label-free sensors. Research goals are achieved both from improvements to SPR systems and incorporation of other methodologies to augment SPR results.
