Development Of Sensors Research Articles

Development of a Single-Ended Mid-Infrared Fiber-Coupled Laser-Absorption Sensor for Measurements of Temperature, CO, and CO₂ in Harsh Environments

Development of a Single-Ended Mid-Infrared Fiber-Coupled Laser-Absorption Sensor for Measurements of Temperature, CO, and CO₂ in Harsh Environments

Recent progress of cataluminescence sensing based on gas-solid interfaces.

Cataluminescence (CTL) has emerged as a sensing transduction principle of gas-solid interface for constructing gas sensors that present fast response, high sensitivity, and online monitoring. It has thus been widely associated with the field of chemical analysis and catalytic science. Herein, the latest developments in CTL sensors are reviewed, and the status quo of CTL-based gas sensing systems is discussed. In particular, the basic principles and sensing systems of CTL are outlined, including performance enhancement strategies for specific targets and recognition methods for multiple targets. Moreover, the important applications of CTL sensors are listed and classified, including environmental pollutant monitoring, product quality control, clinical diagnosis, and evaluation of catalyst performance. Finally, based on abundant case reports, the current conundrums of CTL sensors are summarized and their future development trends are also put forward.

Catalysis of oxygen reduction reaction by iron porphyrin and its sensing application

Hemin, or iron porphyrin, serves as a non-noble metal catalyst for the oxygen reduction reaction (ORR). The stability of hemin is maintained in high salt concentrations, functioning as an ORR redox catalyst in the aqueous phase. Hemin facilitates the development of an oxygen sensor that transitions the ORR mechanism from a 2-electron to a more efficient 4-electron process. This sensor demonstrates excellent reproducibility (RSD<5%), with a wide linear range of 38.9–613 μM, a sensitivity of 0.136 ± 0.003 μA μM−1, and a limit of detection (3SB/m) of 11.8 μM.

Mechanism Exploration of the Photoelectrochemical Immunoassay for the Integration of Radical Generation with Self-Quenching.

Photoelectrochemical (PEC) sensing mechanisms based on enzyme-catalyzed strategies primarily achieve the quantitative analysis of biomolecules through the enhancement or attenuation of photocurrent signals. However, there are still no reports that delve into the principles of photocurrent signaling conversion in the reaction between photoactive materials and the biomolecules. In this work, we demonstrated that indium oxysulfide InOS-0.5 heterojunction has excellent peroxidase activity to catalyze the reaction of H2O2-generated hydroxyl radicals (•OH) with the self-generated electrons, thereby resulting in synergistic quenching of the photocurrent signal. Based on the above principles, we coupled InOS-0.5 with a sandwich-type immunoassay to introduce H2O2 production catalyzed by glucose oxidase for the development of a PEC immunosensing platform. H2O2 reacted with InOS-0.5 to produce •OH with strong oxidizing properties, thus quenching the photogenerated electrons and realizing the PEC detection of the carcinoembryonic antigen (CEA, as a model analyte). The photocurrent intensity decreases with the logarithmic increase in CEA concentration (0.02-50 ng mL-1), with a remarkable limit of detection of 8.9 pg mL-1 (S/N = 3). This study further investigates the mechanism of hydrogen peroxide-induced photocurrent quenching, providing deeper insights into the mechanisms of electron-hole transport in hollow porous semiconductor materials and paving the way for the development of efficient PEC sensors.

Functional Tactile Sensor Based on Arrayed Triboelectric Nanogenerators

AbstractIn the era of Internet of Things (IoT) and Artificial Intelligence (AI), sensors have become an integral part of intelligent systems. Although the traditional sensing technology is very mature in long‐term development, there are remaining defects and limitations that make it difficult to meet the growing demands of current applications, such as high‐sensitivity detection and self‐supplied sensing. As a new type of sensor, array triboelectric nanogenerators (TENG)‐based tactile sensors can respond to wide dynamic range of mechanical stimuli in the surrounding environment and converting them into quantifiable electrical signals, thus realizing real‐time self‐supplied tactile sensing. The array structure allows for fine delineation of the sensing area and improved spatial resolution, resulting in accurate localization and quantification of the detected tactile signals, and have been widely used in wearable devices, smart interaction, medical and health detection, and other fields. In this paper, the latest research progress of functional tactile sensors based on arrayed triboelectric nanogenerators is systematically reviewed from the aspects of working mechanism, material selection, material processing, structural design, functional integration, and application. Finally, the challenges faced by arrayed triboelectric tactile sensors are summarized with a view to providing inspiration and guidance for the future development of tactile sensors.

β values obtained by linear regression models of morpho-physiological and biochemical variables as novel drought stress estimators in Capsicum annuum varieties

Capsicum annuum varieties are highly sensitive to drought. Under water stress conditions, these can show yield losses of up to 70 %. Due to the above, this work proposes a novel approach to obtain estimators of drought stress based on linear regression models for morpho-physiological and biochemical variables in jalapeño pepper (C. annuum cv. jalapeno M), bell pepper (C. annuum cv. california wonder), and serrano pepper (C. annnuum cv. serrano tampiqueno). Jalapeno pepper plants were grown for 69 days under permanent water deficit conditions at 40, 60, 80 % and 100 % of field capacity (FC) (100 % FC as control). Throughout the crop cycle, we monitored the plant's height and weight, basal stem diameter, transpiration, photosynthesis, stomatal conductance, NDVI, and proline. This monitoring allowed us to obtain linear regression models from the accumulated values for these variables, from which the slope values (β) were used as estimators of drought stress using the interval estimation method, in the same way, this method was used to estimate water status in bell pepper and serrano pepper. For bell pepper, drought levels of 40, 60, 80 and 100 % FC were imposed for 12 days and serrano pepper 60 and 100 % FC for 63 days. The results showed that this method can be used to estimate drought stress in jalapeno pepper for all the irrigation levels through photosynthesis and NDVI and can be applied for bell pepper and serrano pepper using stem diameter and plant height, and in the case of serrano pepper, NDVI showed adequate results. Also, this work establishes the relationship between the jalapeno pepper responses (morpho-physiological and biochemical) to drought stress during vegetative, flowering, and fruiting stages through a Principal Component Analysis (PCA). The PCA found that interaction among morphological, physiological, and biochemical responses change concerning the phenological stage of the plant. The results suggested several direct and inverse relationships between the variables and showed that drought can be described by stomatal conductance during any phenological stage of the crop. In parallel, the proline content, NDVI and plant height can also describe drought stress during the vegetative and flowering stages. This research is the first to apply this methodology to drought stress estimation in jalapeno, bell pepper, and serrano pepper cultivation. The results could significantly contribute to precision agriculture, sensor development, and water management.

Modelling and fabrication of flexible strain sensor using the 3D printing technology

The use of additive manufacturing (AM) or 3D printing in sensor technology is increasing daily because it can fabricate complex structures quickly and accurately. This study presents the modeling, fabrication, and characterization processes for the development of a resistance type flexible strain sensor. The finite element model of the sensor was developed using COMSOL software and was verified experimentally. The experimental results agreed well with the simulation results. The fabrication process was performed using the molding technique. The flexible substrate of the strain sensor was fabricated by fused deposition modeling (FDM), an AM method, with dimensions of 20 mm × 60 mm and a thickness of 2 mm. In this process, a flexible and durable elastomer material called thermoplastic polyurethane (TPU) was used. The liquid conductive silver was then injected into the mold channels. The characterization process was performed by establishing experimental and numerical setups. Studies were conducted to maximize sensitivity by changing the geometric properties of the sensor. At the 30% strain level, sensitivity increased by 9% when the sensor thickness decreased from 2 to 1.2 mm. As a result of the gradually applied force, the strain sensor showed a maximum displacement of 34.95 mm. Tensile tests were also conducted to examine the effects of stress accumulation on the flexible base. The results of this study show that the strain sensor exhibits high linearity-sensitivity and low hysteresis performance.

Wearable electro-optical sensor for monitoring of nitrogen dioxide gas in environment

Environmental monitoring for detection of harmful pollutants is a challenge in today’s world. Development of wearable sensors with cost-effectiveness and practicality, while using accessible electronic components can be a solution to this challenge. In the present work ultraviolet light emitting diodes (UV-LEDs) and a Light Dependent Resistor (LDR) pair with carefully designed programmable circuitry is used to detect Nitrogen Dioxide (NO2) in the environment. The sensor is battery operated and rechargeable, making it convenient and eco-friendly. The sensor developed is miniaturized and wearable in nature for the detection of analyte gas in the environment. The sensor is stable and inexpensive as compared to the existing NO2 sensors available, which are electro-chemical, or oxide based. The sensor system is sensitive and selective to its exposure to NO2 gas and has no interference with typical environmental attributes such as humidity and temperature, which is a common challenge in gas detection technologies. The principle of gas detection is absorption based, light falling on the detector absorbed by the test gas present in the environment, thus changing the detector resistance. Absorption-based gas detection is indigenously simple but highly effective technique. This method not only ensures good sensitivity but enhances the selectivity of the electro-optical sensor towards the test gas preventing false triggering in the presence of other interfering gases.

Electrochemical Sensing Platform for Ascorbic Acid Detection Based on Porous Carbon Derived from Kudzu Root Residues

AbstractKudzu root residue is an excellent biomass carbon material that can be transformed into porous carbon through a simple two‐step process of “pre‐carbonization” followed by KOH activation. The structure of carbonized and activated kudzu root residue material was characterized through various techniques such as SEM, XRD, N2 adsorption‐desorption, XPS and Raman spectroscopy. Electrochemical measurement revealed that K‐CKR exhibited outstanding electrochemical performance, attributed to its large specific surface area, significant pore volume, and microporous‐mesoporous structure. When K‐CKR was used to modify a glassy carbon electrode (GCE) for constructing an electrochemical sensor to detect ascorbic acid (AA), it demonstrated remarkable electrochemical sensing capabilities. This included a wide linear detection range (50–1620 μM), higher sensitivity, a low detection limit (0.83 μM, S/N=3), excellent stability and interference resistance. These experimental results clearly indicate that K‐CKR is a highly promising electrode material for the development of novel electrochemical sensors.

Molecularly Imprinted Wearable Sensor with Paper Microfluidics for Real-Time Sweat Biomarker Analysis.

The urgent need for real-time and noninvasive monitoring of health-associated biochemical parameters has motivated the development of wearable sweat sensors. Existing electrochemical sensors show promise in real-time analysis of various chemical biomarkers. These sensors often rely on labels and redox probes to generate and amplify the signals for the detection and quantification of analytes with limited sensitivity. In this study, we introduce a molecularly imprinted polymer (MIP)-based biochemical sensor to quantify a molecular biomarker in sweat using electrochemical impedance spectroscopy, which eliminates the need for labels or redox probes. The molecularly imprinted biosensor can achieve sensitive and specific detection of cortisol at concentrations as low as 1 pM, 1000-fold lower than previously reported MIP cortisol sensors. We integrated multimodal electrochemical sensors with an iontophoresis sweat extraction module and paper microfluidics for real-time sweat analysis. Several parameters can be simultaneously quantified, including sweat volume, secretion rate, sodium ion, and cortisol concentration. Paper microfluidic modules not only quantify sweat volume and secretion rate but also facilitate continuous sweat analysis without user intervention. While we focus on cortisol sensing as a proof-of-concept, the molecularly imprinted wearable sensors can be extended to real-time detection of other biochemicals, such as protein biomarkers and therapeutic drugs.

Facile stoichiometric interfacial surface bonded cerium oxide and graphene oxide heterostructure for efficient electrochemical non-enzymatic detection of dopamine.

Emerging technology in the new era of sensors to detect and quantify neurological reaction-based research has demanded the development of sensors for the neurotransmitter dopamine (DA). In recent decades, electrochemical sensors have offered rapid and sensitive detection of DA, but the presence of interfering compounds, such as uric acid (UA) and ascorbic acid (AA), poses a great threat to the development of DA sensors. Additionally, reusing traditional methods leads to challenges like prolonged preparation and expensive instruments. This research work offers a nanohybrid two-dimensional (2D) paper-like graphene oxide (GO) and three-dimensional (3D) cerium oxide nanosphere (CeONS) heterostructure composite (G-CeONS) created via stoichiometric synthesis for the non-enzymatic detection of DA oxidation in the presence of other complex biological compounds. The constructed G-CeONS nanohybrid composite enables enhanced selectivity and sensitivity towards DA detection through its interfacial engineering. The heterostructure formation of a 2D nanosheet draped over 3D nanospheres exhibits a wide linear concentration range of 100-30 800 nM with a low detection limit of 20.98 nM. Further investigation of the real-time performance on human saliva and DA injections afforded prominent results. In addition, the synergetic effect of G-CeONS improves DA detection accuracy and reliability towards enabling transformational neurochemical and medicinal applications.

An improved DFD method for three-dimensional displacement measurement of vision-based tactile sensor

Currently, traditional tactile sensors based on the principles of capacitance or piezoelectricity have complex structures and difficulty in obtaining tactile information. A vision-based tactile sensor is introduced which can realize visual measurement of three-dimensional displacement in this paper. The vision-based tactile sensor is mainly composed of an elastomer embedded with marker point array, a transparent acrylic plate, 8 LED lights and a micro monocular camera. The elastomer deforms when the tactile sensor contacts an object, and the micro monocular camera is used to capture the elastomer deformation and transmit it to the computer in the form of image, and then the three-dimensional displacement information is obtained by processing the image. In order to more accurately recover the missing dimensional information in the three-dimensional displacement detection of monocular camera, an improved DFD (Depth from Defocus) method based on finite element theory is proposed in this paper. It is verified by experiments that the improved DFD method proposed in this paper can measure the three-dimensional displacement information more accurately compared with the DFD method. In addition, an experiment is conducted to prove the robustness of the improved DFD method on the robotic gripper. The experimental results demonstrate that the three-dimensional displacement measurement method proposed in this paper can provide technical support for the design and development of vision-based tactile sensors.

Rapid Detection of Ultralow H2S Concentration with on-chip Fabrication of SnO2-based Gas Sensors by Direct Electrodeposition from Non-Aqueous Solvents

Hydrogen sulfide (H2S) causes significant impacts on human health and the environment due to its highly toxic properties. Thus, the design and development of gas sensors to detect and monitor H2S (especially at extremely low concentrations) are challenging tasks for scientists. In this work, SnO2 gas sensors were successfully synthesized directly on a chip by Sn electrodeposition from ethylene glycol solutions + a post-treatment (calcination) stage (to form and stabilize SnO2). Mechanisms and kinetics of Sn electrodeposition on Pt microelectrodes were thoroughly studied using electrochemical techniques. These fabricated gas sensors exhibit a high selectivity toward H2S gas and an effective response to low-level concentrations of H2S in the range of 0.1 ppm–1 ppm at different working temperatures. The influence of electrodeposition conditions and calcination temperatures on the gas response of sensors were also examined. The results have verified that the electrodeposition method from ethylene glycol solutions is promising for the fabrication of ultrasensitive on-chip gas sensors.

Quantum imaging-based nanobiosensors: Pioneering point-of-care approach for early diagnosis of environmental-linked breast cancer

Early detection is paramount for successful treatment outcomes in cancer diagnosis. Among women across the globe, breast cancer (BC) ranks as one of the deadliest forms of cancer. Prolonged exposure to numerous environmental pollutants has been linked to epigenetic reprogramming, which entails changes in the expression patterns of non-coding RNAs. These alterations have been strongly linked to an increased risk of developing BC. Women are confronted with hazardous smoke from polluting stoves and fuels for longer as they often perform home duties such as cooking. Inefficient combustion emits black carbon (sooty particles), which enters the bloodstream and is strongly connected to an elevated risk of BC. The use of several analytical methods, such as real-time polymerase chain reaction, microarray, and sequencing, has numerous disadvantages, such as high expenses, limitations in sensitivity, and lack of accuracy. However, the emergence of quantum dots (QDs), nanoscale semiconductor particles with unique optical properties, and the development of quantum imaging-based sensors offer a glimpse into the future of medical technology. These sensors have the potential to completely change the medical field by offering highly precise, non-invasive, and reliable techniques for early diagnosis. Our article delves into the intricacies of QDs imaging-based sensors, their applications in BC detection, and their transformative impact on improving patient care. In recent years, the confluence of quantum science and diagnostic imaging has opened new avenues for BC diagnosis. The present state of quantum imaging-based BC diagnosis sensors is examined in this article, along with potential future developments with the help of artificial intelligence.

Application of Wearable Electronics Sensors for Public Health Monitoring and Disease Prevention

Each component of contemporary technology depends on sensors. Improved and more advanced sensors have the potential to advance technological advancements and ultimately contribute to a better quality of life for humans. Adopting more modern materials, designs, and sensing mechanism types is crucial to the development of sensors. Wearable sensors can be used to monitor several aspects of human gait by placing them on the hip, knee, wrist, and foot, among other parts of the body. Measurements of public health, including body temperature, heart rate, pulse oxygenation, respiration rate, blood pressure, blood glucose, ECG signal, and disease prevention, can be made with these sensors. Numerous recent studies have taken into consideration wearable sensor-based systems. With an emphasis on monitoring human physiological indicators, the research work aimed to demonstrate new sensor utilisation in the development of wearable devices for biomonitoring applications.

Advancing polarity-transcendent design: Development of a photoelectrochemical sensor with extended detection range

In photoelectrochemical (PEC) sensors, traditional detection modes such as "signal-on", "signal-off", and "polarity-switchable" limit target signals to a single polarity range, necessitating novel design strategies to enhance the operational scope. To overcome this limitation, we propose, for the first time, a "polarity-transcendent" design concept that enables a continuous response across the polarity spectrum, significantly broadening the sensor's concentration detection range. This concept is exemplified in our new "background-enhanced signal-off polarity-switchable" (BESOPS) mode, where the model analyte let-7a activates a cascade shearing reaction of a DNAzyme walker in conjunction with CRISPR/Cas12a, quantitatively peeling off Cu2O-H2 strands at the Cu2O/TiO2 electrode interface to expose the TiO2 surface. This exposure generates an anodic photocurrent at the expense of the cathodic photocurrent from Cu2O/TiO2, facilitating a seamless transition of the target signal from cathodic to anodic. Through systematic experiments and comparative analyses, the BESOPS sensor demonstrates highly sensitive and precise quantification of let-7a, with a detection limit of 2.5 aM and a broad operating range of 10 aM to 10 nM. Its performance exceeds most reported sensor platforms, highlighting the significant potential of our polarity-transcendent design in expanding the operational range of PEC sensors. This innovative approach paves the way for developing next-generation PEC sensors with enhanced applicability and heightened sensitivity in various critical fields.

Characteristic study and instrument development of COD sensors consisting of LED and PN tube

The use of deuterium-tungsten lamps and spectrometers limits the miniaturization, low power consumption, and in-situ deployment of Chemical Oxygen Demand (COD) instruments. This study introduces COD sensor utilizing LED and PN tube to overcome these disadvantages. However, PN tubes detect light within 250–800 nm and output an electrical signal, causing nonlinear errors(E) between the LED-derived absorbance (ALED) and COD concentration.This study, through model analysis, reveals that the LED’s emission spectrum and the solution’s absorption spectrum significantly impact errors, and this has been validated experimentally. Additionally, during two-point calibration with deionized water and calibration solution, the measurement error is positive when the concentration of the test solution is lower than that of the calibration solution, and negative when it is higher. Thus, we proposed a calibration and compensation method to reduce errors.Moreover, we have developed a compact, low-cost COD sensor with a measurement error of less than 1.6 mg/L.

The development of a disposable voltammetric sensor based on two-dimensional leaf-like ZIF-L (Zn) modified screen-printed graphite electrode for the simultaneous analysis of uric acid, dopamine and theophylline

The two-dimensional)2D) leaf-like zeolitic imidazolate framework-L (Zn) (ZIF-L (Zn)) was synthesized using a simple method in this study. The ZIF-L (Zn) was characterized using various techniques, such as FE-SEM, XRD, and EDX. The ZIF-L (Zn) was utilized to modify the surface of screen-printed graphite electrode (ZIF-L (Zn)/SPGE) to detect uric acid (UA). The sensor exhibited electrocatalytic behavior for uric acid in phosphate buffer solutions (PBS, 0.1 M), with a linear dependence between the current response and uric acid concentration in the dynamic range from 0.1 μM to 900.0 μM, a low limit of detection (LOD) of 0.04 μM, and good sensitivity of 0.0393 μA/μM under optimized experimental conditions. The ZIF-L (Zn)/SPGE sensor was successfully applied for uric acid determination in the presence of dopamine (DA) and theophylline (Thp) without any interference. The proposed electrode exhibits well-separated oxidation peaks at potentials of 139, 260 and 900 mV for dopamine, uric acid, and theophylline, respectively. In addition, the practical application of the fabricated sensor was demonstrated by detecting dopamine, uric acid, and theophylline in real samples.

Fabrication of Graphene-based Ammonia Sensors: A Review

Abstract: Graphene gas sensors have gained much scientific interest due to their high sensitivity, selectivity, and fast detection of various gases. This article summarizes the research progress of graphene gas sensors for detecting ammonia gas at room temperature. Firstly, the performance and development trends of the graphene/semiconductor Schottky diode sensor are discussed. Secondly, manufacturing methods and the latest developments in graphene field-effect transistor sensors are reviewed. Finally, the basic challenges and latest efforts of functional ammonia gas sensors are studied. The discussion delves into each sensor type's detection principles and performance indicators, including selectivity, stability, measurement range, response time, recovery time, and relative humidity. A comparative analysis is conducted to highlight the progress achieved in research, elucidating the advantages, disadvantages, and potential solutions associated with various sensors. As a result, the paper concludes by exploring the future development prospects of graphene-based ammonia sensors.

High-performance flexible humidity sensor based on B-TiO2/ SnS2 nanoflowers for non-contact sensing and respiration detection

The development of flexible humidity sensors is essential for the advancement of wearable devices and electronic skin. However, the process of preparing these sensors is typically complex, and they often suffer from poor stability and a limited sensing range, which fails to meet the requirements for practical applications. Here, we prepared SnS2 with nanoflower morphology by hydrothermal method, and successfully prepared a high-performance flexible humidity sensor with a high response range (20-95%) by compositing it with B-TiO2 nanoparticles with oxygen defects after sodium borohydride reduction and coating it on a PET flexible substrate. This sensor demonstrates an exceptional response (753.2 at 90% RH) in high humidity environments and exhibits rapid response (13 s) and recovery times (19 s). Moreover, the sensor accurately detects human breathing patterns and frequencies, making it suitable for non-contact sensing applications. This research offers valuable insights into the simplified preparation and advancement of flexible humidity sensors.