@article{baruah2024point,

title = {Point of care devices for detection of Covid-19, malaria and dengue infections: A review},

author = {Susmita Baruah and CA Betty},

url = {https://www.sciencedirect.com/science/article/abs/pii/S1567539424000665},

doi = {https://doi.org/10.1016/j.bioelechem.2024.108704},

year  = {2024},

date = {2024-08-01},

urldate = {2024-08-01},

journal = {Bioelectrochemistry},

pages = {108704},

publisher = {Elsevier},

abstract = {Need for affordable, rapid and user-friendly point of care (POC) devices are increasing exponentially for strengthening the health care system in primary care as well as for self- monitoring in routine analysis. In addition to routine analysis of glucose, Covid-19 type fast spreading, infectious diseases have created further push for exploring rapid, cost-effective and self-monitoring diagnostic devices. Successful implementation of self-monitoring devices for Covid −19 has been realized. However, not much success has been realized for malaria and dengue which are two fatal diseases that affect the population in underdeveloped and developing countries. To monitor the presence of parasites for these diseases, rapid, onsite monitoring devices are still being explored. In this review, we present a review of the research carried out on electrochemical POC devices for monitoring infectious diseases such as Covid-19, malaria and dengue.



},

keywords = {Covid −19, Dengue, openQCM, POC diagnostic devices, QCM, Quartz Crystal Microbalance},

pubstate = {published},

tppubtype = {article}

}

@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}

}

@article{kunvcak2024automating,

title = {Automating Data Analysis for Point-of-Care Label-Free Surface-Based Affinity Biosensors Dealing with Complex Biological Samples: Escherichia Coli O157: H7 and Sars-Cov-2 Case Studies},

author = {Jakub Kunčák and Michala Forinová and Alina Pilipenco and Viktor Procházka and Petr Horák and Sycheva Sofya Dmitrievna and Ivan Gennadievich Deyneka and Hana Vaisocherová-L'isalová},

url = {https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4756321},

year  = {2024},

date = {2024-03-20},

urldate = {2024-03-20},

journal = {Available at SSRN 4756321},

abstract = {Surface-based affinity biosensors offer a promising avenue for point-of-care (POC) detection of pathogens in real-world samples. While laboratory-based devices commonly employ various techniques to compensate for noise, signal drifts, fluidic artifacts, and other system imperfections, their POC counterparts aiming at providing simple cost-effective detection platforms for field use, often lack these qualities. This paper addresses this gap by introducing a procedure for automatic classification of pathogen presence in unprocessed liquids from direct detection data measured by a simple POC-relevant quartz crystal microbalance sensor device.  By considering the nature of the sensor signal and the sources of its imperfections in real-world media, a straightforward procedure integrates “classical” analytical tools (filtering, data selection, baseline de-drifting, and result calculation) in successive steps to automate sample classification without the need for extensive machine learning. Through optimizing parameters using diverse datasets encompassing Escherichia coli O157:H7 (E. coli) and SARS-CoV-2 detection in various media including food-derived matrices and cell culture media, we achieved rates of successful detection as high as 80.8% and 90.9% for E. coli and SARS-CoV-2, respectively. Furthermore, we analyse the sensitivity of the routine to variations of input parameters and with examples discuss the key factors influencing the accuracy of the overall procedure. The results show that the developed method exhibits exceptional robustness across different biosensing assays and complex real-world media, highlighting its promising broader applicability in point-of-care diagnostics.},

keywords = {automatic data classification, Detection of pathogens, E. coli O157:H7, openQCM, openQCM Q-1, Point-of-care biosensors, Quartz Crystal Microbalance, SARS-CoV-2},

pubstate = {published},

tppubtype = {article}

}

@article{skladal2024piezoelectric,

title = {Piezoelectric biosensors: shedding light on principles and applications},

author = {Petr Skládal},

url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10920441/},

doi = {https://doi.org/10.1007%2Fs00604-024-06257-9},

year  = {2024},

date = {2024-03-07},

urldate = {2024-03-07},

journal = {Microchimica Acta},

volume = {191},

number = {4},

pages = {184},

publisher = {Springer},

abstract = {The three decades of experience with piezoelectric devices applied in the field of bioanalytical chemistry are shared. After introduction to principles and suitable measuring approaches, active and passive methods based on oscillators and impedance analysis, respectively, the focus is directed towards biosensing approaches. Immunosensing examples are provided, followed by other affinity sensing approaches based on hybridization of nucleic acids, aptamers, monitoring of enzyme activities, and detection of pathogenic microbes. The combination of piezosensors with cell lines and testing of drugs is highlighted, including mechanically active cells. The combination of piezosensors with other measuring techniques providing original hybrid devices is briefly discussed.},

keywords = {Cellular biosensors, Combined biosensing set-ups, Enzyme activity, Immunosensors, Microbial detection, openQCM, QCM, Quartz Crystal Microbalance},

pubstate = {published},

tppubtype = {article}

}

@article{gutierrez2023combined,

title = {A combined experimental and DFT study on the zero valent iron/reduced graphene oxide doped QCM sensor for determination of trace concentrations of As using a Flow-batch system},

author = {Julián Gutiérrez and Yael N Robein and Julián Juan and Mar'ia S Di Nezio and Carolina Pistonesi and Estela A González and Rodrigo Santos and Marcelo F Pistonesi},

url = {https://www.sciencedirect.com/science/article/abs/pii/S0925400523019512},

doi = {https://doi.org/10.1016/j.snb.2023.135233},

year  = {2023},

date = {2023-12-30},

urldate = {2023-12-30},

journal = {Sensors and Actuators B: Chemical},

pages = {135233},

publisher = {Elsevier},

abstract = {A sensor based on a gold Quartz Crystal Microbalance (QCM) modified with nanoscale zero-valent iron nanoparticles (nZVI) anchored to reduced graphene oxide (rGO) was developed. An automated measurement microsystem was employed using QCM (modified and unmodified) as an arsine detector device. The QCM measurements of frequency changes are associated with total As concentration (III/V) in the samples. The gold surface QCM modification with nZVI/rGO improved the sensitivity in total As determination. The limit of detection (LOD) was 0.0062 

 for QCM-Au/nZVI/rGO, 100 times higher than the unmodified QCM-Au sensor. Moreover, studies of adsorption energy and electron density of As with QCM-Au/nZVI/rGO and QCM-Au systems were performed. For this purpose, Density Functional Theory (DFT) methodology was used employing arsine adsorption on magnetite nanoparticles supported on graphene, and also on Au as models. This theoretical-experimental research allows us to acquire knowledge of the interaction of Au/nZVI/rGO with As and confirms the experimental results.},

keywords = {Arsenic, Functional Theory (DFT) Calculations, LOD, nZVI/rGO, openQCM, QCM},

pubstate = {published},

tppubtype = {article}

}

@article{liu2023prior,

title = {Prior Guided Multi-Scale Dynamic Deblurring Network for Diffraction Image Restoration in Droplet Measurement},

author = {Qiangqiang Liu and Jiankui Chen and Hua Yang and Zhouping Yin},

url = {https://ieeexplore.ieee.org/abstract/document/10363398},

doi = {https://doi.org/10.1109/TIM.2023.3343743},

year  = {2023},

date = {2023-12-18},

urldate = {2023-12-18},

journal = {IEEE Transactions on Instrumentation and Measurement},

publisher = {IEEE},

abstract = {High-precision measurement of micrometer-scale flying droplets is demanded in inkjet printing manufacturing. However, the measurement accuracy is limited by droplet image degradation caused by optical diffraction and actual imaging conditions. Most existing image restoration methods focus on defocus blur and motion blur and pay less attention to diffraction degradation, which cannot handle real-world complex degradation well. In this study, to address the challenges in droplet image restoration, we propose a diffraction-Gaussian degradation framework to simulate actual degradation and a prior guided multiscale dynamic deblurring network (PDDN) for image restoration. PDDN explicitly utilizes degradation prior information with the proposed fast Fourier transform (FFT)-based prior extraction (FPE) module and the multiscale dynamic deblurring (MSDD) module. FPE extracts the degradation prior with the combination of Weiner deconvolution and deep learning. MSDD restores intermediate features using kernel prediction-based dynamic convolution under the guidance of the learned prior. PDDN employs a U-shaped Transformer architecture along with prior guided dynamic deblurring to achieve nonblind deblurring. Experiments on four synthesized datasets demonstrate that PDDN achieves state-of-the-art performance in diffraction image restoration. The effectiveness of the degradation framework and PDDN is proved in real-world image restoration, with droplet measurement accuracy improved from 3% to 2.42%.},

keywords = {Calibration, Diffraction, droplet measurement, openQCM, Optical diffraction, QCM, Transformers},

pubstate = {published},

tppubtype = {article}

}

@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}

}

@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}

}

@article{khoirudin2023influence,

title = {Influence of the SMN antibody on quartz crystal microbalance with dissipation (QCM-D) surface as an SMN protein biosensor},

author = {Hanif Khoirudin and Rizky Aflaha and Eldiana Rully Arsetiyani and Ari Dwi Nugraheni and Dian Kesumapramudya Nurputra and Kuwat Triyana and Ahmad Kusumaatmaja},

year  = {2023},

date = {2023-11-06},

urldate = {2023-01-01},

journal = {MRS Communications},

pages = {1--7},

publisher = {Springer},

abstract = {The lack of survival motor neuron (SMN) protein levels can lead to spinal muscular atrophy (SMA) disease. In this study, an SMN protein biosensor based on quartz crystal microbalance with dissipation (QCM-D) was developed. The sensor was coated with polyvinyl alcohol (PVA) nanofiber and doped with SMN antibodies to increase the sensitivity. Scanning electron microscope (SEM) images showed that the nanofiber was undamaged after doping the SMN antibody. The sensitivity of the QCM-D sensor was 21.2 Hz/% after doping SMN antibodies and had good stability for 3 days. Moreover, the sensor has been validated using western blot. Thus, the fabricated QCM-D-based biosensor has excellent potential in detecting SMN levels in human blood plasma.},

key = {QCM-D, openQCM, Quartz Crystal Microbalance, neuron, protein, antibodies, nanofiber, SEM},

keywords = {antibody detection, Nanofiber, Nanofibers, neuron, openQCM, protein, QCM-D, Quartz Crystal Microbalance, SEM},

pubstate = {published},

tppubtype = {article}

}

@article{muff2023preparation,

title = {Preparation of Well-Defined Fluorescent Nanoplastic Particles by Confined Impinging Jet Mixing},

author = {Livius F Muff and Sandor Balog and Jozef Adamcik and Christoph Weder and Roman Lehner},

url = {https://link.springer.com/article/10.1557/s43579-023-00492-6},

doi = {https://doi.org/10.1557/s43579-023-00492-6},

year  = {2023},

date = {2023-11-01},

urldate = {2023-11-01},

journal = {Environmental Science & Technology},

publisher = {ACS Publications},

abstract = {Research on the origin, distribution, detection, identification, and quantification of polymer nanoparticles (NPs) in the environment and their possible impact on animal and human health is surging. For different types of studies in this field, well-defined reference materials or mimics are needed. While isolated reports on the preparation of such materials are available, a simple and broadly applicable method that allows for the production of different NP types with well-defined, tailorable characteristics is still missing. Here, we demonstrate that a confined impinging jet mixing process can be used to prepare colloidally stable NPs based on polystyrene, polyethylene, polypropylene, and poly(ethylene terephthalate) with diameters below < 100 nm. Different fluorophores were incorporated into the NPs, to allow their detection in complex environments. To demonstrate their utility and detectability, fluorescent NPs were exposed to J774A.1 macrophages and visualized using laser scanning microscopy. Furthermore, we modified the NPs in a postfabrication process and changed their shape from spherical to heterogeneous geometries, in order to mimic environmentally relevant morphologies. The methodology used here should be readily applicable to other polymers and payloads and thus a broad range of NPs that enable studies of their behavior, uptake, translocation, and biological end points in different systems.},

key = {QC; openQCM, Quartz Crystal Microbalance},

keywords = {confined impinging jet (CIJ) mixer, flash nanoprecipitation, fluorescent label, fluorophore, nanoemulsion, nanoplastic, openQCM, polymer nanoparticles, QCM, Quartz Crystal Microbalance, shape modification},

pubstate = {published},

tppubtype = {article}

}

@article{zholdassov2023kinetics,

title = {Kinetics of Photochemical and Mechanochemical Organic Reactions on Surface},

author = {Yerzhan Zholdassov},

url = {https://academicworks.cuny.edu/gc_etds/5476/},

year  = {2023},

date = {2023-09-01},

urldate = {2023-09-01},

abstract = {Solvents used in traditional chemical processes account for a large percentage of reaction mass and waste and can pose significant environmental and health risks. The environmentally friendly nature of mechanochemistry, in addition to other benefits, makes it a promising approach for sustainable chemistry over traditional solvent-based methods. However, it is still not a widely adopted method for performing chemical reactions on an industrial scale. This is partially due to the significant challenge associated with understanding the reaction kinetics under mechanochemical conditions. Many variations of scanning probe lithography (SPL) techniques are able to manipulate the organic molecules with precise control over force and position on surfaces, which offer unique opportunity to investigate the mechanochemical reactions at molecular level. Chapter 1 gives a review on recent advances in the application of SPL techniques in studying fundamental questions in mechanochemistry.



Polymer brushes, defined as thin polymer coatings in which individual polymer chains are tethered by one chain end to a solid interface. They are considered as the most powerful tools to interface properties. Potential applications of polymer brush patterns span a wide range from organic light emitting diodes (OLEDs) to membranes for desalination and gas separation, from tissue engineering to protein adsorption, controlled surface wettability and the study of fundamentals of cell biology. A number of controlled/“living” polymerization techniques, in particular those based on radical chemistry have been applied to generate such coatings on various types of substrates. It enables the grafting density, the thickness, and the chemistry of the coating to be manipulated very readily without altering the bulk mechanical properties of biomaterials. Responsive polymer brushes are a category of polymer brushes that are capable of conformational and chemical changes in response to external stimuli. They offer unique opportunities for the control of surface properties due to the precise control of chemical and structural parameters such as the brush thickness, density, chemistry, and architecture. In Chapter 2 we will discuss multiplexed stimuli responsive polymer brushes patterns that contain hidden information within the same area.



In Chapter 3 we apply novel printing platform to investigate the mechanosusceptibility of molecules to the applied mechanical energy. Mechanochemical solvent-free reactions by milling, grinding or other types of mechanical action have emerged as a viable alternative to solution chemistry. Mechanochemistry offers not only a possibility to eliminate the need for bulk solvent use, and reduce the generation of waste, but it also unlocks the door to a different reaction environment in which synthetic strategies, reactions and molecules previously not accessible in solution, can be achieved. We have used elastomeric tip arrays to precisely control the time and force applied between dienes and dienophiles on a surface to determine rate constants, activation energies and activation volumes for four reaction systems.},

key = {surface chemistry, mechanochemistry, photochemistry, openQCM, openQCM NEXT, QCM-D},

keywords = {mechanochemistry, openQCM, openQCM NEXT, photochemistry, QCM-D, surface chemistry},

pubstate = {published},

tppubtype = {article}

}

@article{aflaha2023enhanced,

title = {Enhanced trimethylamine gas sensor sensitivity based on quartz crystal microbalance using nanofibers overlaid with maltodextrin},

author = {Rizky Aflaha and Laila Katriani and Ahmad Hasan As’ ari and Nur Laili Indah Sari and Ahmad Kusumaatmaja and Aditya Rianjanu and Roto Roto and Kuwat Triyana},

url = {https://link.springer.com/article/10.1557/s43579-023-00409-3},

doi = {https://doi.org/10.1557/s43579-023-00409-3},

year  = {2023},

date = {2023-08-03},

urldate = {2023-08-03},

journal = {MRS Communications},

pages = {1--9},

publisher = {Springer},

abstract = {This study proposes a novel quartz crystal microbalance-based sensor using polyvinyl acetate nanofibers overlaid with maltodextrin to enhance sensitivity toward trimethylamine (TMA) gas. The sensor demonstrated a remarkable increase in sensitivity by 8.3 times, with a detection limit of 15.6 ppm. The enhanced sensitivity is due to reversible intermolecular Lewis acid–base interaction between active groups of maltodextrin and TMA gas molecules. Moreover, the sensor exhibited good selectivity, stability, and fast response and recovery times of 141 s and 116 s, respectively. The proposed sensor offers a promising alternative to conventional methods for accurately monitoring TMA gas levels in the air.},

key = {openqCM, QCM , quartz Crystal Microbalance openQCM sensors},

keywords = {openQCM, openQCM sensors, QCM, Quartz Crystal Microbalance},

pubstate = {published},

tppubtype = {article}

}

@article{wang2023determination,

title = {Determination of electric and thermoelectric properties of molecular junctions by AFM in peak force tapping mode},

author = {Xinati Wang and Angelo Lamantia and Michael Jay and Hatef Sadeghi and Colin J Lambert and Oleg V Kolosov and Benjamin Robinson},

url = {https://iopscience.iop.org/article/10.1088/1361-6528/acdf67/meta},

doi = {https://doi.org/10.1088/1361-6528/acdf67},

year  = {2023},

date = {2023-06-19},

urldate = {2023-06-19},

journal = {Nanotechnology},

abstract = {Molecular thin films, such as self-assembled monolayers (SAMs), offer the possibility of translating the optimised thermophysical and electrical properties of high-Seebeck-coefficient single molecules to scalable device architectures. However, for many scanning probe-based approaches attempting to characterise such SAMs, there remains a significant challenge in recovering single-molecule equivalent values from large-area films due to the intrinsic uncertainty of the probe-sample contact area coupled with film damage caused by contact forces. Here we report a new reproducible non-destructive method for probing the electrical and thermoelectric properties of small assemblies (10 – 103) of thiol-terminated molecules arranged within a SAM on a gold surface, and demonstrate the successful and reproducible measurements of the equivalent single-molecule electrical conductivity and Seebeck values. We have used a modified thermal-electric force microscopy (TEFM) approach, which integrates the conductive-probe atomic force microscope, a sample positioned on a temperature-controlled heater, and a probe-sample peak-force feedback that interactively limits the normal force across the molecular junctions. The experimental results are interpreted by density functional theory calculations allowing quantification the electrical quantum transport properties of both single molecules and small clusters of molecules. Significantly, this approach effectively eliminates lateral forces between probe and sample, minimising disruption to the SAM while enabling simultaneous mapping of the SAMs nanomechanical properties, as well as electrical and/or thermoelectric response, thereby allowing correlation of the film properties.},

keywords = {Functional Theory (DFT) Calculations, Molecular Thin Films, openQCM, openQCM Q-1, QCM, QCM-D, Self-Assembled Monolayers (SAMs)},

pubstate = {published},

tppubtype = {article}

}

@article{liu2023multi,

title = {Multi-Frame Super Resolution with Dual Pyramid Multi-Attention Network for Droplet Measurement},

author = {Qiangqiang Liu and Hua Yang and Jiankui Chen and Zhouping Yin},

url = {https://ieeexplore.ieee.org/document/10155258},

doi = {https://doi.org/10.1109/TIM.2023.3287262},

year  = {2023},

date = {2023-06-19},

urldate = {2023-06-19},

journal = {IEEE Transactions on Instrumentation and Measurement},

publisher = {IEEE},

abstract = {Accurate visual measurement of micrometer-scale flying droplets in inkjet printing remains a challenge due to low image resolution caused by severe image conditions. Multi-frame super resolution (MFSR) has the potential to break through the measurement bottleneck. However, most existing MFSR methods are not satisfactory in multi-frame information utilization, especially for fast-motion scenes, and they often suffer from detail loss. In this study, focusing on multi-frame information utilization and deep feature extraction, we propose a dual pyramid multi-attention network (DPMAN). First, a dual pyramid deformable alignment (DPDA) module is proposed to deal with diverse motion, which extracts explicit offsets to enhance deformable alignment and perform coarse-to-fine alignment. Then, a gated attention fusion (GAF) module is devised to adaptively aggregate the aligned features to emphasize favorable features. Finally, a residual self-attention reconstruction (RSAR) module based on the multi-stage aggregation self-attention architecture is proposed to extract finer deep features for detail restoration. Experimental results on three benchmark datasets demonstrate that DPMAN achieves state-of-the-art performance. DPMAN is applied to droplet image reconstruction and improves the measurement accuracy from 3.34% to 2.52%.},

keywords = {Convolution, droplet, Feature extraction, Image restoration, openQCM, QCM, sensors, Superresolution},

pubstate = {published},

tppubtype = {article}

}

@article{ermek2023electrospun,

title = {Electrospun biotin-and streptavidin-coated quartz crystal microbalance surfaces: characterization and mass sensing performance using OpenQCM},

author = {Erhan Ermek and Esra Ayan and Nurettin Tokay and Hasan DeMirci and Abdullah Kepceoğlu},

url = {https://www.researchsquare.com/article/rs-2995721/v1},

doi = {https://doi.org/10.21203/rs.3.rs-2995721/v1},

year  = {2023},

date = {2023-06-06},

urldate = {2023-06-06},

abstract = {In this study, a quartz crystal microbalance (QCM) sensor surface was coated with biotin and/or streptavidin using the electrospinning method. The coated surfaces were analyzed using the Raman spectroscopy method. QCM measurements were carried out using the OpenQCM platform. The results indicate that the electrospinning method can be used to coat QCM surfaces with biotin and/or streptavidin and that the coated surfaces exhibit distinct morphological and spectroscopic properties. The QCM measurements showed that the coated surfaces are highly sensitive to changes in mass, indicating their potential for use in biosensing applications. Overall, this study provides new insights into the use of QCM sensors coated with biotin and/or streptavidin for biological sensing and detection applications.},

keywords = {Biosensing, Biotin, Electrospinning, openQCM, QCM, Quartz Crystal Microbalance, Raman spectroscopy, Streptavidin, Surface coating},

pubstate = {published},

tppubtype = {article}

}

@article{hajizadehmotlagh2023wearable,

title = {Wearable Resonator-Based Respirable Dust Monitor for Underground Coal Mines},

author = {Mandana Hajizadehmotlagh and Dorsa Fahimi and Anuj Singhal and Igor Paprotny},

url = {https://ieeexplore.ieee.org/abstract/document/10047920},

doi = {https://doi.org/10.1109/JSEN.2023.3241601},

year  = {2023},

date = {2023-02-16},

urldate = {2023-02-16},

journal = {IEEE Sensors Journal},

volume = {23},

number = {7},

pages = {6680--6687},

publisher = {IEEE},

keywords = {Airborne, Diesel Exhaust, Dust, gravimetry, openQCM, QCM, Quartz Crystal Microbalance, Respirable Coal Dust},

pubstate = {published},

tppubtype = {article}

}

@article{di2018line,

title = {On-line measuring sensors for smart water network monitoring},

author = {Armando Di Nardo and David Baquero Gonzalez and Tom Baur and Romeo Bernini and Sergio Bodini and Sante Capasso and Furio Cascetta and Francesca Castaldo and Michele Cocco and Philippe Cousin and others},

url = {https://ww.easychair.org/publications/paper/R7Cm},

doi = {https://doi.org/10.29007/4fcr},

year  = {2018},

date = {2018-12-20},

urldate = {2018-12-20},

journal = {EPiC Series in Engineering},

volume = {3},

pages = {572--581},

publisher = {EasyChair},

abstract = {Smart cities are getting essential to drive economic growth, increase social prospects and improve high-quality lifestyle for citizens. To meet the goal of smart cities, Information and Communications Technology (ICT) have a key role. The application of smart solutions will allow the cities to use ICT and big data to improve infrastructure and services (i.e. network efficiency, protection from contamination, etc.). In the water sector, the integration of smart meters and sensors coupled with cloud computing and the paradigm of “divide and conquer” introduces a novel and smart management of the water network allowing an efficient online monitoring and transforming the traditional water networks into modern Smart WAter Networks (SWAN). The Ctrl+SWAN (Cloud Technologies & ReaL time monitoring+Smart WAter Network) Action Group (AG) was created within the European Innovation Partnership on Water, in order to promote innovation in the water sector by advancing existing smart solutions. The paper presents an update of a previous work on the state of the art on the best On-line Measuring Sensors (OMS) already available on the market and innovative technologies in the Research and Development (R&D) phases.},

key = {online monitoring, partitioning, protection, sensor, smart management, Smart Water Networks},

keywords = {online monitoring, openQCM, partitioning, protection, sensors, smart management, Smart Water Networks},

pubstate = {published},

tppubtype = {article}

}