Biosensor Research Articles

Dielectric Surface-Based Biosensors for Enhanced Detection of Biomolecular Interactions: Advances and Applications

Surface plasmon resonance (SPR) biosensors are extensively utilized for analyzing molecular interactions due to their high sensitivity and label-free detection capabilities. Recent innovations in surface-sensitive biosensors with dielectric surfaces address the inherent limitations associated with traditional gold surfaces, such as thermal effects and biocompatibility issues, which can impede broader applications. This review examines state-of-the-art biosensor configurations, including total internal reflection, optical waveguide, photonic crystal resonators, Bloch surface wave biosensors, and surface electrochemical biosensors, which can enhance analyte signals and augment the molecular detection efficiency at the sensor interface. These technological advancements not only improve the resolution of binding kinetics analysis and single-molecule detection but also extend the analytical capabilities of these systems. Additionally, this review explores prospective advancements in augmenting field enhancement and incorporating multimodal sensing functionalities, emphasizing the significant potential of these sophisticated biosensing technologies to profoundly enhance our understanding of molecular interactions.

Nanoparticle-based Biosensors for Detection of Heavy Metal Ions

Heavy metal pollution is one of the most serious environmental problems in the world. Many efforts have been made to develop biosensors for monitoring heavy metals in the environment. Development of nanoparticle-based biosensors is the most effective way to solve this problem. This review presents the latest technology of nanoparticle-based biosensors for environment monitoring to detect heavy metal ions, which are magnetic chitosan biosensor, colorimetric biosensor, and electrochemical biosensor. Magnetic chitosan biosensor acts as a nanoabsorbent, which can easily detect and extract poisonous heavy metal ions such as lead ions and copper ions. There are several methods to prepare the chitosan based on the nanoparticle, which are cross-linking, co-precipitation, multi-cyanoguanidine, and covalent binding method. In colorimetric biosensor, gold and silver nanoparticles are commonly used to detect the lead and mercury ions. In addition, this biosensor is very sensitive, fast and selective to detect metal ions based on the color change of the solution mixture. Meanwhile, electrochemical biosensor is widely used to detect heavy metal ions due to a simple and rapid process, easy, convenient and inexpensive. This biosensor is focused on the surface area, which leads to significant improvement in the performance of devices in terms of sensitivity. The wide surface area can affect the performance of the biosensor due to a limited space for operation of electrode. Therefore, reduced graphene oxide is a suitable material for making the electrochemical biosensor due to a wide surface area, good conductivity and high mechanical strength. In conclusion, these three technologies have their own advantages in making a very useful biosensor in the detection of heavy metal ions.

A visual electrochemiluminescence sensor based on the combination of distance-readout strategy and nanozymes catalyzing precipitation

BackgroundNanozyme is a kind of biomimetic enzyme with unique properties and catalytic function of nanomaterials. Various nanozymes have been applied in the development of visual biosensors because of its excellent stability and availability. Nevertheless, the current applications of nanozymes primarily focus on colorimetric sensing based on color changes, which is susceptible to external factors interference including sample solution color and ambient light. Incorporating a distance-readout strategy with nanozymes presents a promising avenue for the advancement of innovative visual biosensing technologies in the future. ResultsA visual electrochemiluminescence (ECL) sensor was developed by combining the distance-readout strategy with nanozymes catalyzing precipitation for the first time. The detection is based on the ECL length change induced by nanozymes. This sensor chip comprises a square detection area and a visual ECL channel area. A peroxidase-mimic, core-shell hollow Fe3O4@PDA@ZIF-67, was modified in the detection region. The substrate 4-chloro-1-naphthol was rapidly catalyzed by nanozymes to form purple precipitate benzo-4-chlorohexanedione, leading to an increase in impedance within the detection region. Consequently, the detection area's partial voltage rose while the visual channel's dropped, resulting in a shorter ECL length. As a proof-of-concept experiment, the visual distance-readout ECL sensor was utilized for the quantitative detection of H2O2. The alteration in ECL length exhibited a good linear relationship with H2O2 concentration (logarithm) within the range of 300 nM to 300 μM, with the limit of detection (LOD) of 87 nM. SignificanceThis work developed a novel approach for the application of nanozymes in analytical chemistry. Compared with common colorimetric sensing, this method is more convenient and intuitive, which can effectively eliminate potential interference from humans and the environment during signal acquisition. Because biocatalytic precipitation can be formed through multiple sensing processes, this strategy holds great promise as a portable and cost-effective tool with diverse applications.

Wearable Biosensor Smart Glasses Based on Augmented Reality and Eye Tracking.

With the rapid development of wearable biosensor technology, the combination of head-mounted displays and augmented reality (AR) technology has shown great potential for health monitoring and biomedical diagnosis applications. However, further optimizing its performance and improving data interaction accuracy remain crucial issues that must be addressed. In this study, we develop smart glasses based on augmented reality and eye tracking technology. Through real-time information interaction with the server, the smart glasses realize accurate scene perception and analysis of the user's intention and combine with mixed-reality display technology to provide dynamic and real-time intelligent interaction services. A multi-level hardware architecture and optimized data processing process are adopted during the research process to enhance the system's real-time accuracy. Meanwhile, combining the deep learning method with the geometric model significantly improves the system's ability to perceive user behavior and environmental information in complex environments. The experimental results show that when the distance between the subject and the display is 1 m, the eye tracking accuracy of the smart glasses can reach 1.0° with an error of no more than ±0.1°. This study demonstrates that the effective integration of AR and eye tracking technology dramatically improves the functional performance of smart glasses in multiple scenarios. Future research will further optimize smart glasses' algorithms and hardware performance, enhance their application potential in daily health monitoring and medical diagnosis, and provide more possibilities for the innovative development of wearable devices in medical and health management.

DNA Origami Incorporated into Solid-State Nanopores Enables Enhanced Sensitivity for Precise Analysis of Protein Translocations.

The rapidly advancing field of nanotechnology is driving the development of precise sensing methods at the nanoscale, with solid-state nanopores emerging as promising tools for biomolecular sensing. This study investigates the increased sensitivity of solid-state nanopores achieved by integrating DNA origami structures, leading to the improved analysis of protein translocations. Using holo human serum transferrin (holo-hSTf) as a model protein, we compared hybrid nanopores incorporating DNA origami with open solid-state nanopores. Results show a significant enhancement in holo-hSTf detection sensitivity with DNA origami integration, suggesting a unique role of DNA interactions beyond confinement. This approach holds potential for ultrasensitive protein detection in biosensing applications, offering advancements in biomedical research and diagnostic tool development for diseases with low-abundance protein biomarkers. Further exploration of origami designs and nanopore configurations promises even greater sensitivity and versatility in the detection of a wider range of proteins, paving the way for advanced biosensing technologies.

Advancements in 3D Skin Bioprinting: Processes, Bioinks, Applications and Sensor Integration

Abstract This comprehensive review explores the multifaceted landscape of skin bioprinting, revolutionizing dermatological research. The applications of skin bioprinting utilizing techniques like extrusion-, droplet-, laser- and light-based methods, with specialized bioinks for skin biofabrication have been critically reviewed along with the intricate aspects of bioprinting hair follicles, sweat glands, and achieving skin pigmentation. Challenges remain with the need for vascularization, safety concerns, and the integration of automated processes for effective clinical translation. The review further investigates the incorporation of biosensor technologies, emphasizing their role in monitoring and enhancing the wound healing process. While highlighting the remarkable progress in the field, critical limitations and concerns are critically examined to provide a balanced perspective. This synthesis aims to guide scientists, engineers, and healthcare providers, fostering a deeper understanding of the current state, challenges, and future directions in skin bioprinting for transformative applications in tissue engineering and regenerative medicine.

An Overview of Biochar Utilization Strategies for Screen-Printed Electrochemical Sensors

In this review, we address the utilization of biochar, a cost-effective material derived from renewable resources (biomass), for the construction of printable electrochemical devices. Key parameters influencing the final properties of biochar, including pyrolysis temperature, pyrolysis duration, heating rate, and activation treatments, are detailed. The role of biochar in the fabrication of electrochemical (bio)sensors is highlighted with emphasis on advancements in screen-printed electrochemical devices. Furthermore, this review showcases examples of using biochar in the construction of portable and flexible screen-printed electrodes, as well as humidity sensors. Future perspectives and challenges in the field of biochar-based electrochemical sensors and biosensors are also discussed, providing a comprehensive outlook on this promising area of research.

Cutting Edge Nanoplatforms with Smart Bio-sensing Applications: Paving the Way for Sustainable Green Approaches

Abstract: In the era of automation, sustainable technologies employing eco-friendly materials and manufacturing techniques such as ‘Green nanobiosensors’ have taken centre stage, owing to their opulent portfolio encompassing renewable fabrication and design from biomaterials, biocompatibility, and ease of functionalization. Generally, sensors utilize nanomaterials sourced from renewable resources or with minimal environmental impact, such as cellulose nanocrystals, chitosan, and biopolymers, owing to their exceptional properties such as high surface area. With the advent of environmentally conscious attributes in the cutting-edge nano biosensing technology, green nano-biosensors offer innovative avenues for sensitive and selective detection and monitoring of myriad analytes with minimal environmental repercussions. Further, such sensors operate at low energy levels, contributing to reduced energy consumption, and can be mass-produced with minimal environmental influence. The present outlay of literature aims to decipher the utilization of eco-friendly materials and sustainable manufacturing techniques in creating nano-biosensors and subsequently promulgating their advantages in terms of energy efficiency, low environmental impact, and use of renewable resources. Furthermore, this study embellishes a comprehensive framework that delineates the diverse applications of these green nanobiosensors as eco-friendly technological solutions across diverse sectors primarily agriculture, environmental monitoring, and biomedicine, showcasing their potential to revolutionize these domains while minimizing environmental impact.

“Grafting-from” and “Grafting-to” Poly(N-isopropyl acrylamide) Functionalization of Glass for DNA Biosensors with Improved Properties

Surface-based biosensors have proven to be of particular interest in the monitoring of human pathogens by means of their distinct nucleic acid sequences. Genosensors rely on targeted gene/DNA probe hybridization at the surface of a physical transducer and have been exploited for their high specificity and physicochemical stability. Unfortunately, these sensing materials still face limitations impeding their use in current diagnostic techniques. Most of their shortcomings arise from their suboptimal surface properties, including low hybridization density, inadequate probe orientation, and biofouling. Herein, we describe and compare two functionalization methodologies to immobilize DNA probes on a glass substrate via a thermoresponsive polymer in order to produce genosensors with improved properties. The first methodology relies on the use of a silanization step, followed by PET-RAFT of NIPAM monomers on the coated surface, while the second relies on vinyl sulfone modifications of the substrate, to which the pre-synthetized PNIPAM was grafted to. The functionalized substrates were fully characterized by means of X-ray photoelectron spectroscopy for their surface atomic content, fluorescence assay for their DNA hybridization density, and water contact angle measurements for their thermoresponsive behavior. The antifouling properties were evaluated by fluorescence microscopy. Both immobilization methodologies hold the potential to be applied to the engineering of DNA biosensors with a variety of polymers and other metal oxide surfaces.

Recent Advances in the CRISPR/Cas-Based Nucleic Acid Biosensor for Food Analysis: A Review.

Food safety is a major public health issue of global concern. In recent years, the CRISPR/Cas system has shown promise in the field of molecular detection. The system has been coupled with various nucleic acid amplification methods and combined with different signal output systems to develop a new generation of CRISPR/Cas-based nucleic acid biosensor technology. This review describes the design concept of the CRISPR/Cas-based nucleic acid biosensor and its application in food analysis. A detailed overview of different CRISPR/Cas systems, signal amplification methods, and signal output strategies is provided. CRISPR/Cas-based nucleic acid biosensors have the advantages of high sensitivity, strong specificity, and timeliness, achieving fast analysis of a variety of targets, including bacteria, toxins, metal ions, pesticides, veterinary drugs, and adulteration, promoting the development of rapid food safety detection technology. At the end, we also provide our outlook for the future development of CRISPR/Cas-based nucleic acid biosensors.

Recent Developments and Prospects of Electromagnetically Active Metamaterials in Biosensing

This paper provides an overview of the progress of research on electromagnetically active metamaterials in the field of biosensing, especially the potential of terahertz metamaterials for biosensor applications. Electromagnetically active metamaterials exhibit a negative refractive index and perfect absorption through their special structure, and their electromagnetic behavior is affected by their structure and geometry, which is different from traditional materials. The article reviews the application of terahertz technology for the bio-detection of cancer cells and apoptotic processes using periodic metal arrays by terahertz biosensors, demonstrating the advantages of terahertz biosensors, such as high sensitivity and detection without labeling. This paper presents a comprehensive overview of the advancements in research concerning electromagnetically active metamaterials within the domain of biosensing, with a particular emphasis on the potential applications of terahertz metamaterials in biosensor technology. Electromagnetically active metamaterials are characterized by their negative refractive index and perfect absorption, which arise from their distinctive structural properties. The electromagnetic behavior of these materials is significantly influenced by their design and geometry, setting them apart from conventional materials. The article examines the utilization of terahertz technology for the bio-detection of cancer cells and apoptotic processes tunability, employing periodic metal arrays in terahertz biosensors. It underscores the advantages of terahertz biosensors, which include high sensitivity and the capability to detect biological entities without the necessity for labeling. Terahertz metamaterial biosensors are promising for protein, virus, and cancer cell detection. This paper also explores the design and application of chiral metamaterials, especially indium tin oxide-based mid-infrared chiral metamaterials, to solve the problem of the large size of traditional materials and investigates their circular dichroism. Looking ahead, electromagnetically active metamaterials, especially terahertz metamaterials, are expected to improve resolving power and sensitivity, reduce costs, and expand the applications of biosensors in the biomedical field. The applications and research of these sensors will continue to advance with the advancement of micro and nanoprocessing technologies.

Interpretable general thermal comfort model based on physiological data from wearable bio sensors: Light Gradient Boosting Machine (LightGBM) and SHapley Additive exPlanations (SHAP)

This study aims to develop a general thermal comfort model using physiological signals obtained from wristband-type wearable biosensors. Accordingly, we constructed and evaluated supervised machine learning models by leveraging a diverse array of features extracted from physiological signals, including electrodermal activity (EDA), photoplethysmogram (PPG), and skin temperature (SKT). The model’s performance was evaluated using data collected from 18 subjects across controlled experimental settings. Further, this study employed leave one subject out cross validation (LOSOCV) instead of the traditional k-fold CV to assess the model’s generalizability to new subjects. Furthermore, SHapley Addictive exPlanation (SHAP) was incorporated to augment the interpretability and transparency of the model. The LightGBM model demonstrated a commendable test accuracy of 79.7% in distinguishing thermal preferences, namely, “want warmer,” “comfort,” and “want cooler.” These findings underscore the feasibility of employing wearable biosensors to evaluate occupants’ thermal comfort in real-world environments. This study makes a significant contribution to the literature by laying the groundwork for a broadly applicable method of continuous, objective, and noninvasive thermal comfort monitoring among building occupants. Considering previous challenges associated with personalized thermal comfort models due to individual variability, our study represents a pivotal step toward the development of a generalized thermal comfort model.

Emerging Diagnostic Methods Using Paper-based Electrochemical Biosensors

The development of paper-based electrochemical biosensors has brought about a paradigm shift in the diagnostics industry. These tools provide a portable, affordable, and easy-to-use platform for point-of-care (POC) testing. This has been transformed by the use of electrochemical detection techniques in paper-based analytical devices, which allow for the accurate and insightful assessment of a wide range of chemical analytes. These modified paper-based analytical gadgets have received significant recognition for their inherent benefits in the field of POC. Consequently, the sensitivity and practicality of electrochemical biosensors made of paper-based materials show great promise. They also have several other beneficial features, such as the ability to transport liquids independently, decreased resistance, low manufacturing costs, and environmental friendliness. This study examines the latest developments in paper-based electrochemical biosensing technologies and considers how they might be used in food safety, environmental monitoring, and in developing diagnostic techniques.

Magnetic augmentation through multi-gradient coupling enables direct and programmable profiling of circulating biomarkers

Conventional magnetic biosensing technologies have reduced analytical capacity for magnetic field dimensionality and require extensive sample processing. To address these challenges, we spatially engineer 3D magnetic response gradients for direct and programmable molecular detection in native biofluids. Named magnetic augmentation through triple-gradient coupling for high-performance detection (MATCH), the technology comprises gradient-distributed magnetic nanoparticles encapsulated within responsive hydrogel pillars and suspended above a magnetic sensor array. This configuration enables multi-gradient matching to achieve optimal magnetic activation, response and transduction, respectively. Through focused activation by target biomarkers, the platform preferentially releases sensor-proximal nanoparticles, generating response gradients that complement the sensor’s intrinsic detection capability. By implementing an upstream module that recognizes different biomarkers and releases universal activation molecules, the technology achieves programmable detection of various circulating biomarkers in native plasma. It bypasses conventional magnetic labeling, completes in <60 minutes and achieves sensitive detection (down to 10 RNA and 1000 protein copies). We apply the MATCH to measure RNAs and proteins directly in patient plasma, achieving accurate cancer classification.

Continuous Biosensor Based on Particle Motion: How Does the Concentration Measurement Precision Depend on Time Scale?

Continuous biosensors measure concentration-time profiles of biomolecular substances in order to allow for comparisons of measurement data over long periods of time. To make meaningful comparisons of time-dependent data, it is essential to understand how measurement imprecision depends on the time interval between two evaluation points, as the applicable imprecision determines the significance of measured concentration differences. Here, we define a set of measurement imprecisions that relate to different sources of variation and different time scales, ranging from minutes to weeks, and study these using statistical analyses of measurement data. The methodology is exemplified for Biosensing by Particle Motion (BPM), a continuous, affinity-based sensing technology with single-particle and single-molecule resolution. The studied BPM sensor measures specific small molecules (glycoalkaloids) in an industrial food matrix (potato fruit juice). Measurements were performed over several months at two different locations, on nearly 50 sensor cartridges with in total more than 1000 fluid injections. Statistical analyses of the measured signals and concentrations show that the relative residuals are normally distributed, allowing extraction and comparisons of the proposed imprecision parameters. The results indicate that sensor noise is the most important source of variation followed by sample pretreatment. Variations caused by fluidic transport, changes of the sensor during use (drift), and variations due to different sensor cartridges and cartridge replacements appear to be small. The imprecision due to sensor noise is recorded over few-minute time scales and is attributed to stochastic fluctuations of the single-molecule measurement principle, false-positive signals in the signal processing, and nonspecific interactions. The developed methodology elucidates both time-dependent and time-independent factors in the measurement imprecision, providing essential knowledge for interpreting concentration-time profiles as well as for further development of continuous biosensing technologies.

A highly sensitive photonic crystal fibre biosensor for early malaria detection via RBC variation monitoring

Abstract Every year, more than one million individuals die from malaria, an infection spread by mosquitoes infected by haemoparasites with only one cell of the Plasmodium class. In this work, a photonic crystal fibre (PCF)-based refractive index (RI) biosensor for the early detection of malaria in individuals, using red blood cell (RBC) variation monitoring, is presented. The proposed PCF includes three layers of hexagonal lattices of elliptical air holes and also contains a small vertical elliptical channel in which the RBC samples are placed. Because of the RI difference between samples from both healthy and malaria-infected human RBCs, the peak wavelength of infected RBC samples differs from that of normal RBC samples. From calculation, the achieved wavelength sensitivities of the biosensor are 3571.42 nm/RIU, 3157.89 nm/RIU, and 3103.44 nm/RIU in the x-polarized direction and 2857.14 nm/RIU, 2631.57 nm/RIU, and 2758.6 nm/RIU in the y-polarized direction in different phases—ring, trophozoite, and schizont respectively—with a highest possible detection limit of 0.029. Because of the small detection limit and high sensitivity, the proposed PCF biosensor has enhanced sensing abilities that make it suitable for primary diagnosis of malaria. With its high sensitivity and low detection limit, this PCF biosensor has improved sensing capabilities that make it appropriate for malaria diagnosis at the outset.

From Biosensors to Robotics: Pioneering Advances in Breast Cancer Management.

Breast cancer stands as the most prevalent form of cancer amongst females, constituting more than one-third of all cancer cases affecting women. It causes aberrant cell development, which can assault or spread to other sections of the body, perhaps leading to the patient's death. Based on research findings, timely detection can diminish the likelihood of mortality and enhance the quality of healthcare provided for the illness. However, current technologies can only identify cancer at an advanced stage. Consequently, there is a substantial demand for rapid and productive approaches to detecting breast cancer. Researchers are actively pursuing precise and timely methods for the diagnosis of breast cancer, aiming to achieve enhanced accuracy and early detection. Biosensor technology can allow for the speedy and accurate diagnosis of cancer-related cells, as well as a more sensitive and specialized technique for generating them. Additionally, numerous treatments for breast cancer are depicted such as herbal therapy, nanomaterial-based drug delivery, miRNA targeting, CRISPR technology, immunotherapy, and precision medicine. Early detection and efficient therapy are necessary to manage such a severe illness properly.

High sensitivity metamaterial thin film: bio and thermal sensors based on Fano resonances and nematic liquid crystals

ABSTRACT In this research, a new sensor was designed that exhibits high biological and thermal sensitivities. It is suitable for use as a biosensor, a thermal sensor, or both simultaneously. This nanostructure sensor is based on two non-identical copper rings, which are dependent on two dielectric environments, and has been optimised to enhance sensitivity. To control and increase the sensitivity of the designed metamaterial, the E7 liquid crystal was used, which has a temperature-dependent refractive index. The optimised data indicate that the highest sensitivity for the structural parameters; R, dr and d are 70, 43 and 30 nm, respectively. This nanostructure demonstrates a refractive index sensitivity of 500 nm/RIU and a very high temperature sensitivity of 11 nm/K in the wavelength range of 500–1000 nanometres and a temperature range of 290–330 Kelvin. The second peak has the highest sensitivity to the refractive index and the third peak has the highest sensitivity to temperature. The high temperature sensitivity reported is at a 90-degree orientation angle of the liquid crystal director. Therefore, the simulation and optimisation of this ultra-thin film indicates that it can be suitable for use as a high-quality bio-thermal sensor with a high figure of merit.

Design of 2D photonic crystal biosensor to detect cancer cells

Design of 2D photonic crystal biosensor to detect cancer cells

Bridging basic science and applied diagnostics: Comprehensive viral diagnostics enabled by graphene-based electronic biosensor technology advancements

This study presents a graphene field-effect transistor (gFET) biosensor with dual detection capabilities for SARS-CoV-2: one RNA detection assay to confirm viral positivity and the other for nucleocapsid (N-)protein detection as a proxy for infectiousness of the patient. This technology can be rapidly adapted to emerging infectious diseases, making an essential tool to contain future pandemics. To detect viral RNA, the highly conserved E-gene of the virus was targeted, allowing for the determination of SARS-CoV-2 presence or absence using nasopharyngeal swab samples. For N-protein detection, specific antibodies were used. Tested on 213 clinical nasopharyngeal samples, the gFET biosensor showed good correlation with RT-PCR cycle threshold values, proving its high sensitivity in detecting SARS-CoV-2 RNA. Specificity was confirmed using 21 pre-pandemic samples positive for other respiratory viruses. The gFET biosensor had a limit of detection (LOD) for N-protein of 0.9 pM, establishing a foundation for the development of a sensitive tool for monitoring active viral infection. Results of gFET based N-protein detection corresponded to the results of virus culture in all 16 available clinical samples and thus it also proved its capability to serve as a proxy for infectivity. Overall, these findings support the potential of the gFET biosensor as a point-of-care device for rapid diagnosis of SARS-CoV-2 infection and indirect assessment of infectiousness in patients, providing additional information for clinical and public health decision-making.