Publications
218 results found
Li Y, Kong Y, Hu Y, et al., 2024, A paper-based dual functional biosensor for safe and user-friendly point-of-care urine analysis., Lab Chip
Safe, accurate, and reliable analysis of urinary biomarkers is clinically important for early detection and monitoring of the progression of chronic kidney disease (CKD), as it has become one of the world's most prevalent non-communicable diseases. However, current technologies for measuring urinary biomarkers are either time-consuming and limited to well-equipped hospitals or lack the necessary sensitivity for quantitative analysis and post a health risk to frontline practitioners. Here we report a robust paper-based dual functional biosensor, which is integrated with the clinical urine sampling vial, for the simultaneous and quantitative analysis of pH and glucose in urine. The pH sensor was fabricated by electrochemically depositing IrOx onto a paper substrate using optimised parameters, which enabled an ultrahigh sensitivity of 71.58 mV pH-1. Glucose oxidase (GOx) was used in combination with an electrochemically deposited Prussian blue layer for the detection of glucose, and its performance was enhanced by gold nanoparticles (AuNPs), chitosan, and graphite composites, achieving a sensitivity of 1.5 μA mM-1. This dual function biosensor was validated using clinical urine samples, where a correlation coefficient of 0.96 for pH and 0.98 for glucose detection was achieved with commercial methods as references. More importantly, the urine sampling vial was kept sealed throughout the sample-to-result process, which minimised the health risk to frontline practitioners and simplified the diagnostic procedures. This diagnostic platform, therefore, holds high promise as a rapid, accurate, safe, and user-friendly point-of-care (POC) technology for the analysis of urinary biomarkers in frontline clinical settings.
Chatzilakou E, Hu Y, Jiang N, et al., 2024, Biosensors for melanoma skin cancer diagnostics., Biosens Bioelectron, Vol: 250
Skin cancer is a critical global public health concern, with melanoma being the deadliest variant, correlated to 80% of skin cancer-related deaths and a remarkable propensity to metastasize. Despite notable progress in skin cancer prevention and diagnosis, the limitations of existing methods accentuate the demand for precise diagnostic tools. Biosensors have emerged as valuable clinical tools, enabling rapid and reliable point-of-care (POC) testing of skin cancer. This review offers insights into skin cancer development, highlights essential cutaneous melanoma biomarkers, and assesses the current landscape of biosensing technologies for diagnosis. The comprehensive analysis in this review underscores the transformative potential of biosensors in revolutionizing melanoma skin cancer diagnosis, emphasizing their critical role in advancing patient outcomes and healthcare efficiency. The increasing availability of these approaches supports direct diagnosis and aims to reduce the reliance on biopsies, enhancing POC diagnosis. Recent advancements in biosensors for skin cancer diagnosis hold great promise, with their integration into healthcare expected to enhance early detection accuracy and reliability, thereby mitigating socioeconomic disparities.
Shi Y, Wang L, Hu Y, et al., 2024, Contact lens sensor for ocular inflammation monitoring., Biosens Bioelectron, Vol: 249
Contact lens sensors have been emerging as point-of-care devices in recent healthcare developments for ocular physiological condition monitoring and diagnosis. Fluorescence sensing technologies have been widely applied in contact lens sensors due to their accuracy, high sensitivity, and specificity. As ascorbic acid (AA) level in tears is closely related to ocular inflammation, a fluorescent contact lens sensor incorporating a BSA-Au nanocluster (NC) probe is developed for in situ tear AA detection. The NCs are firstly synthesized to obtain a fluorescent probe, which exhibits high reusability through the quench/recover (KMnO4/AA) process. The probe is then encapsulated with 15 wt% of poly(vinyl alcohol) (PVA) and 1.5 wt% of citric acid (CA) film, and implemented on a closed microfluidic contact lens sensing region. The laser-ablated microfluidic channel in contact lens sensors allows for tear fluid to flow through the sensing region, enabling an in-situ detection of AA. Meanwhile, a smartphone application accompanied by a customized 3D printed readout box is developed for image caption and algorism to quantitative analysis of AA levels. The contact lens sensor is tested within the readout box and the emission signal is collected through the smartphone camera at room temperature with an achieved LOD of 0.178 mmol L-1 (0.0-1.2 mmol L-1). The operational and storage lifetime is also evaluated to characterize the sensor properties and resulted in 20 h and 10 days, respectively. The reusable AA contact lens sensor is promising to lead to an alternative accessible diagnostic method for ocular inflammation in point-of-care settings.
Wang L, Hu Y, Jiang N, et al., 2024, Biosensors for psychiatric biomarkers in mental health monitoring., Biosens Bioelectron, Vol: 256
Psychiatric disorders are associated with serve disturbances in cognition, emotional control, and/or behavior regulation, yet few routine clinical tools are available for the real-time evaluation and early-stage diagnosis of mental health. Abnormal levels of relevant biomarkers may imply biological, neurological, and developmental dysfunctions of psychiatric patients. Exploring biosensors that can provide rapid, in-situ, and real-time monitoring of psychiatric biomarkers is therefore vital for prevention, diagnosis, treatment, and prognosis of mental disorders. Recently, psychiatric biosensors with high sensitivity, selectivity, and reproducibility have been widely developed, which are mainly based on electrochemical and optical sensing technologies. This review presented psychiatric disorders with high morbidity, disability, and mortality, followed by describing pathophysiology in a biomarker-implying manner. The latest biosensors developed for the detection of representative psychiatric biomarkers (e.g., cortisol, dopamine, and serotonin) were comprehensively summarized and compared in their sensitivities, sensing technologies, applicable biological platforms, and integrative readouts. These well-developed biosensors are promising for facilitating the clinical utility and commercialization of point-of-care diagnostics. It is anticipated that mental healthcare could be gradually improved in multiple perspectives, ranging from innovations in psychiatric biosensors in terms of biometric elements, transducing principles, and flexible readouts, to the construction of 'Big-Data' networks utilized for sharing intractable psychiatric indicators and cases.
Hu Y, Chatzilakou E, Pan Z, et al., 2024, Microneedle sensors for point-of-care diagnostics, Advanced Science, Vol: 11, ISSN: 2198-3844
Point-of-care (POC) has the capacity to support low-cost, accurate and real-time actionable diagnostic data. Microneedle sensors have received considerable attention as an emerging technique to evolve blood-based diagnostics owing to their direct and painless access to a rich source of biomarkers from interstitial fluid. This review systematically summarizes the recent innovations in microneedle sensors with a particular focus on their utility in POC diagnostics and personalized medicine. The integration of various sensing techniques, mostly electrochemical and optical sensing, has been established in diverse architectures of "lab-on-a-microneedle" platforms. Microneedle sensors with tailored geometries, mechanical flexibility, and biocompatibility are constructed with a variety of materials and fabrication methods. Microneedles categorized into four types: metals, inorganics, polymers, and hydrogels, have been elaborated with state-of-the-art bioengineering strategies for minimally invasive, continuous, and multiplexed sensing. Microneedle sensors have been employed to detect a wide range of biomarkers from electrolytes, metabolites, polysaccharides, nucleic acids, proteins to drugs. Insightful perspectives are outlined from biofluid, microneedles, biosensors, POC devices, and theragnostic instruments, which depict a bright future of the upcoming personalized and intelligent health management.
Elsherif M, Salih AE, Alam F, et al., 2024, Plasmonic Contact Lenses Based on Silver Nanoparticles for Blue Light Protection., ACS Appl Nano Mater, Vol: 7, Pages: 5956-5966
Constant exposure to blue light emanating from screens, lamps, digital devices, or other artificial sources at night can suppress melatonin secretion, potentially compromising both sleep quality and overall health. Daytime exposure to elevated levels of blue light can also lead to permanent damage to the eyes. Here, we have developed blue light protective plasmonic contact lenses (PCLs) to mitigate blue light exposure. Crafted from poly(hydroxyethyl methacrylate) (pHEMA) and infused with silver nanoparticles, these contact lenses serve as a protective barrier to filter blue light. Leveraging the plasmonic properties of silver nanoparticles, the lenses effectively filtered out the undesirable blue light (400-510 nm), demonstrating substantial protection (22-71%) while maintaining high transparency (80-96%) for the desirable light (511-780 nm). The maximum protection level reaches a peak of 79% at 455 nm, aligned with the emission peak for the blue light sourced from LEDs in consumer displays. The presence of silver nanoparticles was found to have an insignificant impact on the water content of the developed contact lenses. The lenses maintained high water retention levels within the range of 50-70 wt %, comparable to commercial contact lenses. The optical performance of the developed lenses remains unaffected in both artificial tears and contact lens storage solution over a month with no detected leakage of the nanoparticles. Additionally, the MTT assay confirmed that the lenses were biocompatible and noncytotoxic, maintaining cell viability at over 85% after 24 h of incubation. These lenses could be a potential solution to protect against the most intense wavelengths emitted by consumer displays and offer a remedy to counteract the deleterious effects of prolonged blue light exposure.
Gao S, Xiong J, Yetisen AK, et al., 2024, Vector Differential Interference Contrast Microscopy Based on a 3-in-1 Phase Mask through a Dynamic Diffractive Optical Element, ACS Photonics, Vol: 11, Pages: 276-285
Differential interference contrast (DIC) microscopy is highly desirable in label-free imaging for transparent biological samples. It avoids potential photobleaching and phototoxicity from the contrast agents, such as staining and fluorescence. Commercial DIC microscopes typically use multiple optical elements to construct a phase contrast device and require a further phase shift unit to render quantitative phase imaging. Moreover, conventional DIC microscopes perform the differential operation exclusively along a single direction, constraining their use to differential phase visualization rather than providing the actual phase information for quantitative phase imaging (QPI) applications. Here, a supercompact quantitative DIC microscopy method with a vector differential operation is developed. The featured functions of the vector DIC, namely, vector differential operation, sample imaging, and phase shifting, are integrated into a single diffractive optical element (DOE) device. The DIC microscopy was miniaturized via the off-the-shelf DOE device, converting customary designing paradigm from piling up individual optical elements to the spatial manipulation of the phase, forming the 3-in-1 phase mask. The tube lens, Wollaston/Normasiki prism, and phase shift unit are replaced by a single dynamic 3-in-1 phase mask. Apart from the illumination, the operating element is merely the off-the-shelf DOE device implementing the 3-in-1 phase mask, rendering the vector DIC as an add-on module for the commercial light microscope. The phase maps in orthogonal differential directions are retrieved simultaneously from multiple heterodyne carriers to achieve quantitative phase imaging from the complete phase gradient.
Zhang Y, Hu Y, Montelongo Y, et al., 2024, A conformable holographic sensing bandage for wound monitoring, Advanced Functional Materials, ISSN: 1616-301X
Chronic wound monitoring can provide personalized pathophysiological information for wound management and treatment. Continuously monitoring the wound milieu via the holographic pH sensor can reflect the wound healing processes. However, the integration with wearable devices is hindered by its inherently restricted interrogation angle dependency within 5°. Herein, a ball bearing-based double photopolymerization method is developed to fabricate holographic pH sensors with a broader interrogation angle range of 15°–60° in wound exudates. The fabricated holographic pH sensor is then integrated with the flexible ultrathin polyurethane substrate, which replays a total Bragg peak shift of approximately 150 nm with physiological pH changes from 7.00 to 8.75. The conformable holographic pH sensing bandages demonstrate the ability to quantify the pH value under various bending manipulations, simulating the mounting on the body surface. The reversibility in artificial wound exudate demonstrates the durability and capability of real-time pH monitoring in the wound milieu with minimal effect on the replay wavelength. The addition of electrolytes, albumin, urea, uric acid, lactate, and glucose does not interfere with the readout over the physiological pH range of wound exudates. The obtained conformable holographic sensing bandage benefits the wound healing process monitoring through colorimetric interrogation at point-of-care (POC) settings.
Naseska M, Globočnik A, Davies S, et al., 2024, Non-contact monitoring of glucose concentration and pH by integration of wearable and implantable hydrogel sensors with optical coherence tomography., Opt Express, Vol: 32, Pages: 92-103
Optical coherence tomography (OCT) is a noninvasive imaging technique with large penetration depth into the tissue, but limited chemical specificity. By incorporating functional co-monomers, hydrogels can be designed to respond to specific molecules and undergo reversible volume changes. In this study, we present implantable and wearable biocompatible hydrogel sensors combined with OCT to monitor their thickness change as a tool for continuous and real-time monitoring of glucose concentration and pH. The results demonstrate the potential of combining hydrogel biosensors with OCT for non-contact continuous in-vivo monitoring of physiological parameters.
Shojaeian M, Yetisen AK, Tasoglu S, 2024, Anisotropic Wettability Induced by Femtosecond Laser Ablation, Advanced Engineering Materials, Vol: 26, ISSN: 1438-1656
Laser ablation has been utilized for locally and selectively modifying the surface wettability of materials in situ and enabling on-demand microfabrication. The anisotropic wettability has been observed on chemical and/or topographical patterns, such as an array of laser-inscribed strips with spacings, created on surfaces during the fabrication process. Herein, the effectiveness of the femtosecond laser ablation is evaluated in selectively modifying surface wettability. The areas processed by laser ablation exhibit anisotropic wetting behavior, even after the laser strips are overlapped. The laser-induced anisotropic surface wettability is present in space governed by laser scanning speed, scan/strip overlap, laser fluence, scan repetition, and bidirectional scanning angle. Moreover, the femtosecond laser ablation process is optimized to enhance the conventional laser inscription, leading to a modified and consistent methodology to achieve cost-effective fabrication.
Yigci D, Atçeken N, Yetisen AK, et al., 2023, Loop-Mediated Isothermal Amplification-Integrated CRISPR Methods for Infectious Disease Diagnosis at Point of Care., ACS Omega, Vol: 8, Pages: 43357-43373
Infectious diseases continue to pose an imminent threat to global public health, leading to high numbers of deaths every year and disproportionately impacting developing countries where access to healthcare is limited. Biological, environmental, and social phenomena, including climate change, globalization, increased population density, and social inequity, contribute to the emergence of novel communicable diseases. Rapid and accurate diagnoses of infectious diseases are essential to preventing the transmission of infectious diseases. Although some commonly used diagnostic technologies provide highly sensitive and specific measurements, limitations including the requirement for complex equipment/infrastructure and refrigeration, the need for trained personnel, long sample processing times, and high cost remain unresolved. To ensure global access to affordable diagnostic methods, loop-mediated isothermal amplification (LAMP) integrated clustered regularly interspaced short palindromic repeat (CRISPR) based pathogen detection has emerged as a promising technology. Here, LAMP-integrated CRISPR-based nucleic acid detection methods are discussed in point-of-care (PoC) pathogen detection platforms, and current limitations and future directions are also identified.
Yetisen A, 2023, The Entrepreneurial Self: exploring the roles of culture and identity development in nurturing entrepreneurialism in a STEM higher education institution
In this qualitative study, I have explored the debates about what entrepreneurial learning entails in a higher education setting. I have utilised a qualitative research method guided by the social learning theory and the critical social theory. I recruited participants among the academic staff across the Faculty of Engineering in Imperial College. I have adopted a broadly ethnographic approach, where the data collection was based on one-to-one semi-structured interviews with the participants. Through stimulated discussions, the participants reflected on their cultural experiences, identity development process, and the effectiveness of entrepreneurial learning methods. I have chosen interpretive phenomenological analysis as the methodology for qualitative study of the interview data. Experiential statements from each participant were categorised within themes. I performed cross-case analysis to identify the similarities and differences between each participants’ lived experiences to create clustered themes. Major experiential themes emerged from the study were the influence of upbringing, the effect of pursuing entrepreneurial activities on academic careers, and different approaches to entrepreneurial learning. The data revealed that the parenting style, role models, incentives and the external environment during the early years of identity development strongly influenced the propensity to grow an entrepreneurial mindset. Faculty members, who are predisposed to undertake entrepreneurial activities, showed self-efficacy to nurture their business skills by taking advantage of the resources available to exploit their inventions. The results indicate that academics prefer informal entrepreneurial learning approaches over formal trainings. Academics showed the desire to learn entrepreneurial skills and tacit knowledge through peer-to-peer interactions, experienced role models and industrial partners within a community of practice in higher education settings. The ou
Dhond K, Hu Y, Yetisen AK, 2023, Dermal tattoo biosensors, Die Dermatologie, Vol: 74, Pages: 819-821, ISSN: 2731-7013
Nakhjavani SA, Tokyay BK, Soylemez C, et al., 2023, Biosensors for prostate cancer detection, TRENDS IN BIOTECHNOLOGY, Vol: 41, Pages: 1248-1267, ISSN: 0167-7799
Wang S, Yetisen AK, Jakobi M, et al., 2023, High‐Performance Sound Detection of Nanoscale‐Thick and Large‐Area Graphene Oxide Films in Liquids, Advanced Engineering Materials, ISSN: 1438-1656
<jats:p>This article presents nanoscale‐thick and large‐area graphene oxide (GO) films manufactured by a facile method to enable high‐performance sound detection in liquids. A Fabry–Perot (F–P) cavity consisting of a GO film, whose vibration diameter is ≈4.4 mm, and a single‐mode fiber (SMF) is used as the sensing core for sound detection in liquids. A sound‐transparent cap, consisting of a support sleeve and a sound‐transparent sleeve, is used to protect the GO‐sensing diaphragm to resist liquid pressure to enable long‐term stability. The sensing probes with GO diaphragms of ≈100 and 200 nm thickness are placed in ultra‐pure water for performance testing. Test results show that they maintain a linear sound pressure response, a flat frequency response, and a uniform directional response from 1 to 100 kHz. They have sensitivities of ≈630 mV Pa<jats:sup>−1</jats:sup> and about 84 mV Pa<jats:sup>−1</jats:sup>, respectively, in the range of 1–100 kHz in all directions in different liquids. These results demonstrate the suitability of the nanoscale‐thick and large‐area GO films for sound detection in liquids with high performance.</jats:p>
Wang S, Yetisen AK, Wang K, et al., 2023, Dependence of the Michelson Interferometer-Based Membrane-Less Optical Microphone–Photoacoustic Spectroscopy Gas-Sensing Method on the Fundamental Parameters of a Photoacoustic Gas Cell, Photonics, Vol: 10, Pages: 888-888
<jats:p>This article presents a mathematical model of the Michelson interferometer (MI)-based membrane-less optical microphone (MeoM)–photoacoustic spectroscopy (MeoM–PAS) method, which is also referred to as MI-based photoacoustic interferometry (PAI), for gas-sensing applications in complex and adverse environments, as it offers a completely static measurement system and the separation of a photoacoustic (PA) gas cell from the measuring system. It also investigates the dependence of this method on the fundamental parameters of a cubical PA gas cell using axial PA signals. The results indicate that the phase of the method is a sine function of the distance between the two light beams and a power exponent of the cell length, the cell height, and the distance between the excitation source and the nearest light beam, under the condition that the PA gas cell is resonant and that the excitation source is at the position of the peak or valley of the PA signals. It is at its maximum when the distance between the two light beams is approximately half the wavelength of the PA signals under the same conditions. In addition, the dependence of a PA gas cell using non-axial PA signals is described under the conditions that the PA gas cell is resonant, which is consistent with the changing aforementioned parameters for the distance between the two light beams, the cell length and height, and the distance between the excitation source and the nearest light beam. Furthermore, the selection of five common materials (aluminum, brass, glass, quartz, and stainless steel) for the PA gas cell is discussed under the influence of temperature fluctuations outside the PA gas cell, noise inside and outside the PA gas cell, as well as thermal and viscous losses inside the PA gas cell. The results indicate that quartz and stainless steel are promising options. Finally, the parameters related to the sensitivity enhancement of the method are analyzed using mathematical models
Birtek MT, Alseed MM, Sarabi MR, et al., 2023, Machine learning-augmented fluid dynamics simulations for micromixer educational module., Biomicrofluidics, Vol: 17, ISSN: 1932-1058
Micromixers play an imperative role in chemical and biomedical systems. Designing compact micromixers for laminar flows owning a low Reynolds number is more challenging than flows with higher turbulence. Machine learning models can enable the optimization of the designs and capabilities of microfluidic systems by receiving input from a training library and producing algorithms that can predict the outcomes prior to the fabrication process to minimize development cost and time. Here, an educational interactive microfluidic module is developed to enable the design of compact and efficient micromixers at low Reynolds regimes for Newtonian and non-Newtonian fluids. The optimization of Newtonian fluids designs was based on a machine learning model, which was trained by simulating and calculating the mixing index of 1890 different micromixer designs. This approach utilized a combination of six design parameters and the results as an input data set to a two-layer deep neural network with 100 nodes in each hidden layer. A trained model was achieved with R2 = 0.9543 that can be used to predict the mixing index and find the optimal parameters needed to design micromixers. Non-Newtonian fluid cases were also optimized using 56700 simulated designs with eight varying input parameters, reduced to 1890 designs, and then trained using the same deep neural network used for Newtonian fluids to obtain R2 = 0.9063. The framework was subsequently used as an interactive educational module, demonstrating a well-structured integration of technology-based modules such as using artificial intelligence in the engineering curriculum, which can highly contribute to engineering education.
Ahmadpour A, Yetisen AK, Tasoglu S, 2023, Piezoelectric Metamaterial Blood Pressure Sensor, ACS Applied Electronic Materials, Vol: 5, Pages: 3280-3290, ISSN: 2637-6113
Dong X, Li H, Wang K, et al., 2023, Multispectral Microscopic Multiplexed (3M) Imaging of Atomically-Thin Crystals Using Deep Learning, Advanced Optical Materials, ISSN: 2195-1071
Sarabi MR, Karagoz AA, Yetisen AK, et al., 2023, 3D-Printed Microrobots: Translational Challenges, MICROMACHINES, Vol: 14
Tarar C, Aydin E, Yetisen AK, et al., 2023, Machine Learning-Enabled Optimization of Interstitial Fluid Collection via a Sweeping Microneedle Design, ACS OMEGA, Vol: 8, Pages: 20968-20978, ISSN: 2470-1343
Rezapour Sarabi M, Yetisen AK, Tasoglu S, 2023, Bioprinting in Microgravity., ACS Biomater Sci Eng
Bioprinting as an extension of 3D printing offers capabilities for printing tissues and organs for application in biomedical engineering. Conducting bioprinting in space, where the gravity is zero, can enable new frontiers in tissue engineering. Fabrication of soft tissues, which usually collapse under their own weight, can be accelerated in microgravity conditions as the external forces are eliminated. Furthermore, human colonization in space can be supported by providing critical needs of life and ecosystems by 3D bioprinting without relying on cargos from Earth, e.g., by development and long-term employment of living engineered filters (such as sea sponges-known as critical for initiating and maintaining an ecosystem). This review covers bioprinting methods in microgravity along with providing an analysis on the process of shipping bioprinters to space and presenting a perspective on the prospects of zero-gravity bioprinting.
Davies S, Hu Y, Blyth J, et al., 2023, Reusable dual‐Photopolymerized holographic glucose sensors, Advanced Functional Materials, Vol: 33, ISSN: 1616-301X
Diabetes is well established as a widespread, incurable, and fatal disease with glucose monitoring and tight glycaemic control vital for effective illness prevention and management. Hydrogel-based holographic sensors serve as a low-cost and label-free colorimetric sensing platform, directly identifiable by the naked eye and spectroscopy for quantitative monitoring. Herein, a cost-effective and reusable holographic glucose sensor is developed via single pulse UV-induced dual-photopolymerization of boronic acid functionalized hydrogels for point-of-care (POC) diagnosis. Computational modeling of holographic sensors response is conducted following Braggs law alongside the study of fabrication parameter optimization and sensor swelling dynamics. Fabrication conditions, responsive and interference hydrogel compositions of holographic sensors are investigated to improve response time, sensitivity in urine (13.03 nm mmol−1 L−1), limit of detection (0.06 mmol L−1), and reusability. Photolithographic patterning of hydrogel-based holographic sensors permits the inscription of additional information into the sensors for qualitative measurement. Selectivity, reversibility, and continuous monitoring of urine samples are conducted over a physiological glucose concentration range (0.0–9.4 mmol L−1) to demonstrate the viability for diabetic risk identification. The simple incorporation of glucose sensors in a reusable urinary analysis prototype is validated in human urine, showing potential for POC to reduce patient dependency on invasive diabetic monitoring procedures.
Ozdalgic B, Yetisen AK, Tasoglu S, 2023, Smartphone and wearable diagnostics, Expert Review of Molecular Diagnostics: new diagnostic technologies are set to revolutionise healthcare, Vol: 23, Pages: 357-359, ISSN: 1473-7159
Wang S, Hoffmann M, Yetisen AK, et al., 2023, Optical interferometer-based methods for photoacoustic gas sensing: a review, Applied Spectroscopy Reviews, Pages: 1-40, ISSN: 0570-4928
Shi Y, Zhang Y, Hu Y, et al., 2023, Smartphone-based fluorescent sensing platforms for point-of-care ocular lactoferrin detection, Sensors and Actuators B: Chemical, Vol: 378, ISSN: 0925-4005
Lactoferrin is a critical glycoprotein that accounts for the major component in tear protein composition. Tear lactoferrin has been indicated as a potential biomarker in ocular health screening, such as dry eye disease diagnosis. Fluorescent biosensors are a desirable alternative to current diagnostic methods, due to their high selectivity and sensitivity, and rapid and cost-effective detection technologies at point-of-care (POC) platforms. Herein, fluorescent lactoferrin sensing is examined and applied on nitrocellulose membrane, capillary tube, and contact lens platforms in cooperation with a developed smartphone software for data collection and analysis. Fluorescent sensors based on trivalent terbium (TbCl3) are integrated into different platforms, including nitrocellulose membranes, capillary tubes, and contact lenses, and tested in artificial tear fluid. A bespoke 3D printed readout device integrated with a smartphone camera was employed for image acquisition and readout. The detection range of the lactoferrin sensors could be varied from 0 to 5 mg mL−1 with a strong linear relation and yielded a limit of detection (LOD) of 0.57 mg mL−1 for lateral flow sensing, 0.12 mg mL−1 for capillary tube sensing, and 0.44 mg mL−1 for contact lens sensing. The contact lens sensor obtained the highest linear regression, while the capillary tube sensor achieved a lowest LOD. This work could pave the way towards accessible lactoferrin monitoring at POC and could induce hospitalization at the UK national health service (NHS) for future clinical trials and examinations.
Richardson ATD, Mir SI, Morris SM, et al., 2023, Parallel computing for modeling multilayer photonic crystals, Journal of Nanophotonics, Vol: 17, Pages: 1-11, ISSN: 1934-2608
A simulation framework is developed for the two-dimensional finite-difference time-domain to model multilayer photonic crystal structures. The framework includes the recording process in a photosensitive material through a coherent light source and then a subsequent interrogation with a broadband spectrum. Moreover, the tunable response of the photonic crystal is simulated for different film thicknesses (recorded from 5 to 20 μm), refractive indices contrast (ranging from 4% to 24%), film expansions (interrogated with expansions ranging 110% to 160%), and lattice spacings (recorded with wavelengths from 360 to 560 nm). A parallelization method was implemented in a computer cluster to alleviate the required high computational demand. Through this simulation framework, it is now possible to retrieve relevant information about realistic photosensitive multilayer structures. This method will support the design of multilayer structures utilized in sensors, lasers, and other functional nanostructured photonic devices.
Zhang Y, Hu Y, Jiang N, et al., 2023, Wearable artificial intelligence biosensor networks, BIOSENSORS & BIOELECTRONICS, Vol: 219, ISSN: 0956-5663
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Tarar C, Aydın E, Yetisen AK, et al., 2023, Bayesian machine learning optimization of microneedle design for biological fluid sampling, Sensors & Diagnostics, Vol: 2, Pages: 858-866
<jats:p>The deployment of microneedles in biological fluid sampling and drug delivery is an emerging field in biotechnology, which contributes greatly to minimally-invasive methods in medicine.</jats:p>
Atceken N, Munzer Alseed M, Dabbagh SR, et al., 2022, Point‐of‐Care Diagnostic Platforms for Loop‐Mediated Isothermal Amplification, Advanced Engineering Materials, Pages: 2201174-2201174, ISSN: 1438-1656
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