Response Time Research Articles

Facile assembly of SnO2 thin film-based Al/SnO2/Al device for sensing of 260 nm UVC and 365 nm UVA radiation

An Al/SnO2/Al metal-semiconductor-metal (MSM) device was formed by depositing a ~55nm thin film of SnO2 on Si substrate. Structural, surface morphology and optical properties of the SnO2 film were studied. The current-voltage (I-V) characteristics of the device were recorded under the dark condition followed by 260 nm-UVC and 365 nm-UVA illumination conditions. Under the dark condition, the device shows a resistivity of 8.05 Ωcm at V=1.5V bias voltage. The device produces nearly symmetric rectifying-type I-V characteristics under forward and reverse bias conditions. The electrical properties of the device were explained using back-to-back Schottky diode model. Under the dark condition, the ideality factor of the junction under forward and reverse bias were estimated to be 1.08 and 1.72 respectively. The external quantum efficiency of the device under UVC was found to be ~518.72% and specific detectivity reached as high as 1.03×109 Jones at 2.0V with a response time of ~1s. The device showed a high signal-to-noise ratio between 0.5 and 1.5V bias voltages. The values of the ideality factor being greater than 1 was attributed to the presence of point defects in the SnO2 layer as verified by photoluminescence study. This study reveals that the device could be used as a UVC and UVA sensor at a relatively low bias voltage of ~1.5V.

Overview and Trends in Electrochemical Sensors, Biosensors and Cellular Antioxidant Assays for Oxidant and Antioxidant Determination in Food

Screening and quantifying antioxidants from food samples, their antioxidant activity, as well as the assessment of food oxidation is critical, not only for ensuring food quality and safety, but also to understand and relate these parameters to the shelf life, sensory attributes, and health aspects of food products. For this purpose, several methods have been developed and used for decades, which regardless of their effectiveness, present a certain number of drawbacks mainly related to extensive sample preparation and technical complexity, time requirement, and use of hazardous chemicals. Electrochemical sensors and biosensors are gaining popularity in food analysis due to their high sensitivity, specificity, rapid response times, and potential for miniaturisation and portability. Furthermore, other modern methods using whole living cells such as the cellular antioxidant activity assay, the antioxidant power 1 assay, and the catalase-like assays, may interpret more realistic antioxidant results rather than just reporting the ability of scavenging free radicals in isolated systems with extrapolation to the reality. This paper provides an overview on the electrochemical sensors, biosensors, and cellular antioxidant assays, and reviews the latest advancements and emerging trends in these techniques for determining oxidants and antioxidants in complex food matrices. The performances of different strategies are described for each of these approaches to provide insights into which extent these methods can be exploited in the field and inspire new research to fill the identifiable current gaps.

Solid Contact Microfabricated Electrode for Point-of-Care Electrochemical Determination of a Parasitic Infection Managing Medication Based on a Transducer Layer Prussian Blue Analogue Decorated with Multi-Walled Carbon Nanotubes

Point-of-care diagnostics (POC), often known as on-site testing has evolved as a quick and accurate methodology for analyzing and therapeutic monitoring of drugs. The aim of this study is to provide cost-effective, simple, portable, reliable, and ecofriendly methodology for determination of Tinidazole (TD); potentiometric sensors are found to be an ideal fit for achieving these goals. An advanced microfabricated ion selective electrode is provided employing two-steps procedure. The first is selecting the most selective ionophore for TD determination while the second is to improve the stability and detection limit upon doping the nanoparticles as ion to electron transducer layer between the microfabricated copper electrode and the ion selective media as it can decrease potential drift from 8.0 to ∼1.0 mV h−1. Nernstian potentiometric results were obtained for TD in range of concentration 1.0 × 10−3 to 1.0 × 10−8 M, its slope was −57.43 mV/decade with lower detection limits 2.55 × 10−9 M. Essential values of the adopted sensor are fast and stable response time (9 ± 2 s). The provided potentiometric approach succeeds to asses TD in its pure and pharmaceutical forms, furthermore in different biological fluids with satisfactory results.

The synergistic effect of La dopant/willow catkins template on SnO2 monotubes for efficient detection of triethylamine

The detection of volatile organic compounds (VOCs) such as triethylamine (TEA) is essential for maintaining air quality and human health. This study explores the synergistic effects of lanthanum (La) doping and the use of willow catkins as a template for the performance of SnO₂ gas sensors for TEA detection. The morphology and structure of the as-synthesized samples were investigated, and a series of experiments were conducted to explore the TEA sensing characterization of SnO2-based sensors. The results of gas sensing demonstrated that the response of La2-SnO₂ sensors is up to about 178 at 100 ppm TEA, showing a 45 % increase compared to pure SnO₂ with a detection limit as low as 5 ppb. The fabricated sensors demonstrated a rapid response time of 60 s and a recovery time of 98 s at 100 ppm TEA concentration. Moreover, the sensors showed stable and repeatable responses over multiple cycles, indicating excellent reproducibility and long-term stability. The enhanced TEA sensing performance can be attributed to the abundant oxygen vacancies and promising tubular structure, which not only offer more active sites to absorb oxygen species but also promote the adsorption-desorption process of gas molecules. This study highlights the potential of La-doped SnO₂ sensors fabricated using a sustainable willow catkins template as a promising candidate for practical TEA detection applications.

棉花精量铺膜穴播机自动断膜带系统设计与试验

To achieve the process of automatic film cutting for cotton and improve the efficiency of cotton precision film hole seeding machine operation, this paper proposes a wireless handle button control method and designs a automatic film and tape cutting system for cotton precision film-laying hole seeder. The system includes electromagnetic integrated valve group, hole opener lifting hydraulic cylinder, membrane pressing hydraulic cylinder, multifunctional hydraulic cylinder for cutting film, strapping support hydraulic cylinder, hydraulic limit sensor, arc-shaped film cutting shovel reset sensor, wireless control handle for film cutting and film cutting controller. The system is based on the VisualTFT platform, equipped with a multi-functional touch screen. By integrating functions such as obtaining the forward distance of the machine, hydraulic control principles, and wireless control models for film cutting and burying, it achieves automatic cutting and burying of ground film and drip tape processes. The experiment verified the working performance of the automatic film cutting and feeding system of the cotton seed precision film mulching hole seeder and the results showed that the average monitoring accuracy of the machine's forward distance was 98.16%; the response time for controlling the film cutting belt and burying film belt was ≤0.78s, and the execution time was ≤2.68s; the success rate of cutting film strips was 100.00% and the success rate of burying film strips was above 98.33%, which met the operational requirements of automatic film strip cutting for precise cotton seeding film hole planting machines.

Nanostructure-dependent colouration efficiency of electrochromic coatings using 0D, 1D, and 2D WO3 for smart windows

Towards the development of highly efficient electrochromic coatings, the crystallinity, morphology (e.g. size and shape) of electrochromic nanomaterials, and their charge insertion capacities play a significant role. Herein, we report the structure-dependent colouration effciency in electrochromic coatings based on the use of 0D, 1D and 2D tungsten trioxide (WO3) nanostructures. A series of WO3 with different nanostructures were prepared and used as working electrodes to fabricate electrochromic devices for smart windows applications. Facile spray coating was applied on fluorine-doped tin oxide (FTO) substrate to make ∼70 ​% transparent working electrodes to investigate their charge insertion capacities, electrochromic active surface area, and colouration efficiency. Results showed that the 2D WO3 nanoflakes displayed the highest diffusion coefficient for the intercalation of 1.52 ​× ​10 −10 ​cm2/s with an increased electrochemical active surface area of 25.10 ​mF/cm2, a large modulation of optical reflectance (42.63 ​%) with 3.79 ​s shorter response time for bleaching and a greater colouration efficiency (CE) value (89.29 ​cm2/C) at 700 ​nm compared to the CE value for 1D WO3 (of 22 ​cm2/C) and 0D WO3 (8 ​cm2/C). The outcome of this study provides a new insight and valuable contribution to design an efficient electrochromic coating by controlling and optimising the nanostructures of selective electrochromic materials.

Electromagnetic plasma micro actuator for active airflow control

This study presents a novel electromagnetic plasma micro actuator capable of generating ionic wind at an extremely low voltage. Ionic and electron movements, driven by the Lorentz force, introduce a lateral injection of initiation carriers, resulting in a significant reduction in discharge onset voltage. Straight ionic wind was demonstrated using a tapered gap electrode, which allowed continuous movement of plasma filament along the electrode at the speed of 4m/s when a DC pulse of 900V was applied. The results suggest that the proposed device may address key challenges faced by current ionic wind generators, such as high voltage requirements and limited device lifespans. In addition, a notable change in the airflow was observed when the direction of ionic wind was altered, indicating the feasibility of active airflow control with stable plasma formation and fast response times.

Single-atom nanozymes possessing robust multienzyme-mimetic catalytic properties for sensing of volatile alkaline gas

Volatile alkaline gases (VAGs) emitted from various sources, such as the food or chemical industry, pose potential harm to the natural environment and human health. Therefore, the development of a real-time, rapid, and cost-effective detection method is crucial. In this study, the enzyme-like catalytic types and activities of four different metal-based single-atom enzymes (Ga, Cu, Mn, and Zn SAzymes) were selected and evaluated. Among them, Ga SAzyme exhibited the most promising catalytic properties. Furthermore, the multienzyme catalytic properties of Ga SAzyme were utilized for the detection of ammonia, and it was found that its peroxidase-like (POD-like) activity showed a strong affinity for ammonia (Km = 0.05 mM). This detection strategy demonstrated high sensitivity, with a limit of detection (LOD) of 3.0 mM in the linear range of 0.01–0.05 M and 7.0 mM in the linear range of 0.075–0.25 M. Additionally, the method was characterized by fast response time (15 s) and low cost ($0.035 per sample). The proposed method holds great potential for the detection of VAGs from various sources in the future.

Regulation of receptor function in NiCo2O4-SnO2 heterojunction for H2S detection at room temperature

In recent years, the World Health Organization has increasingly emphasized air quality in production environments, leading to heightened societal demands for monitoring of pollutant gases at room temperature. Traditional semiconductor gas-sensitive materials, such as tin oxide (SnO2), have their gas-sensing performance largely limited by their receptor functions, resulting in common issues like low response and poor recovery at room temperature. Spinel-type bimetallic oxides, such as nickel cobaltate (NiCo2O4), offer a unique solution due to their rich adsorption sites on the surface, which provide distinctive receptor functions for detecting toxic gases at room temperature. Herein, NiCo2O4 is synthesized via a one-step hydrothermal method, with a porous spherical cluster structure, and combined with SnO2 to form a heterojunction. The NiCo2O4-SnO2 heterojunction film gas sensor exhibits excellent gas-sensing performance for H2S at room temperature, including high response, short response time, good repeatability, and selectivity. Additionally, the unique receptor functions of the NiCo2O4 were analyzed through first-principles calculations, revealing a semiconductor p-n conversion phenomenon in the presence of H2S gas. The composite also demonstrates a conversion from p-n heterojunction to n-n homojunction during the sensing process, enhancing its gas-sensing performance. This work not only addresses the receptor function limitations of traditional gas-sensitive semiconductor but also provides a feasible approach for controlling carrier types in semiconductors.

Enhanced sensitivity and selectivity of ZnSe/PANI composite for low ppm level room temperature detection of NO2

The utilization of n-p composite-based gas sensors has garnered substantial interest within the field of gas sensing. This heightened attention can be attributed to the remarkable band alignment of the constituent materials which results in superior charge transfer rate, increased gas interaction sites and reduced optimum operating temperature. In this work, n-ZnSe/p-PANI composites were prepared by simple hydrothermal technique. The obtained X-ray diffraction pattern confirms the phase formation ZnSe, PANI and ZnSe/PANI composites. The pure ZnSe exhibits a sensing performance at a higher operating temperature of 100 °C, whereas ZnSe/PANI composite sample demonstrates an improved sensing response at 30 °C. Notably, the 20 wt.% composite sample (ZnSe–P2) achieved a maximum sensing response of 77 % towards 20 ppm of NO2 gas molecule. Additionally, the sensor exhibits the response time (Tres) of 112 s and recovery time (Trec) of 648 s, at an operating temperature of 30 °C. It also shows better stability, reproducibility and specific selectivity towards NO2 gas molecule. The superior sensing behaviour of the ZnSe-P2 sensor at 30 °C can be ascribed to the development of a depletion region in the interface of ZnSe/PANI composites, which improved the charge transfer rate and increased the number of reactive sites. Therefore, the formation of n-p inorganic-organic composite strategy offers an effective approach for detecting NO2 gas molecules at lower temperature of 30 °C.

Zynq FPGA for hardware co-simulation of Takagi-Sugeno neuro-fuzzy for MPPT algorithm incorporating sensorless wind speed estimation in grid-connected wind system

This paper presents a hardware implementation on the Field Programmable Gate Array (FPGA) Zed-Board of a Maximum Power Point Tracking (MPPT) incorporating pitch angle control system and sensorless wind speed estimation using the Takagi-Sugeno (TS) Adaptive Neuro-Fuzzy Inference System (ANFIS). The described approach is applied specifically to a grid-connected Permanent Magnet Synchronous Generator-based Variable Speed Wind Turbine (VSWT). Firstly, the paper proposes an estimator-based TS-ANFIS model for real-time wind speed estimation, addressing challenges with conventional anemometers, such as precision, and susceptibility to adverse weather conditions. The estimated wind speed guides the calculation of an optimized mechanical speed for MPPT control. Secondly, an MPPT-based TS-ANFIS controller is introduced to achieve the maximum power point, integrating pitch angle control to prevent turbine failures in high wind speeds. Finally, the paper emphasizes the hardware implementation on the FPGA Zed-Board, leveraging its parallel processing capabilities to enhance control system quality by reducing sampling periods and loop delays. Validation includes simulations in Matlab/Simulink using the Xilinx system generator and hardware co-simulation on the FPGA Zed-Board. A comparative analysis highlights the contributions and advancements of the proposed models and controllers compared to recent schemes in the field. Indeed, the proposed MPPT-based TS-ANFIS approach effectively maximizes the power extracted from the VSWT, achieving an estimated average efficiency of 99.84 %. In contrast, PID methods show average efficiencies of 92.63 %. Additionally, compared to other published works, the proposed MPPT-based TS-ANFIS method demonstrates a rapid response time of 0.001 s and lower static error at 0.02 %. Furthermore, the proposed WSE-based TS-ANFIS model exhibits superior performance and effectiveness, yielding a root mean squared error (RMSE) of 0.0085381, a determination coefficient (R2) value of 0.99985, and a Pearson correlation coefficient (r) value of 0.99996. Moreover, the proposed hardware implementation of these approaches maintains lower power usage, operating at a high frequency of 80.38 MHz and achieving a high throughput of 2572.16 Mbps.

Research and Application of Emergency Logistics Resource Allocation Algorithm based on Supply Chain Network

The ”Fuzzy-Enhanced for Emergency Logistics Resource Allocation in Supply Chain Networks (FEM-ELRAS)” presents a novel approach to optimizing emergency logistics and resource allocation in supply chain networks, especially during critical disaster response scenarios. This research integrates fuzzy logic with the improve Multi Agent Genetic Algorithm (MAGA), creating a more adaptive and efficient framework capable of handling the uncertainties and complexities inherent in emergency situations. FEM-ELRAS employs fuzzy decision variables to represent ambiguous and fluctuating parameters like demand at disaster sites, supply availability, and variable transportation conditions. It incorporates a fuzzy inference system, utilizing expert-derived rules to guide the allocation process amidst uncertain and rapidly changing conditions. The algorithm’s evaluation mechanism is enhanced with fuzzy logic, offering a refined assessment of solution effectiveness, balancing multiple logistical objectives such as minimizing response time, optimizing costs, and maximizing resource utilization and delivery precision. Moreover, fuzzy logic principles are integrated into the genetic algorithm’s operators, enabling more context-sensitive and flexible solution adaptations. FEM-ELRAS is particularly designed to navigate the trade-offs between different logistical goals in emergency scenarios, making it a robust tool for decision-makers in disaster management. Its application promises significant improvements in emergency response efficiency, showcasing a step forward in the field of emergency logistics and supply chain management.

Handling Follow-Ups Professionally: Strategies for Getting Replies When Facing Silence

This article discusses effective strategies for following up with contacts who have not responded to initial requests or messages. It begins by reviewing psychological research on factors that can influence response times, such as personality traits, cultural norms, and procrastination. It then provides guidelines for optimal timing of follow-ups based on priority level and contact type. Specific suggestions are offered for composing follow-up communications, including restating the original request, expressing the need for a response politely, acknowledging time constraints, and problem-solving rather than blaming. The article stresses the need for flexibility based on individual relationships and contexts. It offers examples of appropriately customizing follow-ups for scenarios like status updates, project kickoffs, and external partnerships. By understanding reasons for delays, timing follow-ups appropriately, and adapting language sensitively, leaders can productively follow through to obtain needed information and cooperation while preserving goodwill.

Preparation and Ammonia Sensing of Copper Iodide Nanomaterials Combined with Copper Iodide‐Isopropanolamine Complexes

AbstractWith the increasing awareness of the hazards associated with ammonia (NH3) contamination and the potential application of NH3 detection in physical health monitoring, the exploration of high‐performance NH3 sensors has attracted significant attention in recent years. In this paper, we prepared copper iodide (CuI) nanomaterials combined with CuI‐isopropanolamine (C3H9NO) complexes by dissolving CuI in C3H9NO and subsequent annealing. The resulting product demonstrated exceptional sensing performance to 0.15 (mole fraction) NH3, exhibiting a maximum response of 7.5×105 with a response time of 5 s. The achieved detection limit was 10 ppm. Our findings provide a valuable reference for further research on NH3 sensors utilizing complexes formed by copper compounds and organic amines.

Perceptions around occupational mental well-being of community health workers and an intervention package for its promotion: A mixed-methods study in rural Chiapas, Mexico

BackgroundThe challenging working conditions experienced by community health workers (CHWs) have an impact on their mental health, as detected by the NGO Compañeros En Salud (CES) in rural Mexico. In response to this situation, CES designed through a participatory process a package of interventions to promote the mental well-being of CHWs, beginning implementation in 2021. The objective of the present study was to learn how CES CHWs' work affects their mental well-being and to evaluate the intervention package to promote CHWs’ mental well-being implemented by CES. MethodsIn June–August 2023, 52 CHWs from the CES-supported communities participated in the study, responding to a survey and participating in 10 focus group discussions. Quantitative data were analyzed using statistical descriptive analysis and qualitative data using thematic analysis. FindingsParticipants highlighted the impact on their communities as one of the main aspects of their job that contribute positively to their mental well-being, as well as the challenging work-life balance as one of the main aspects that contribute negatively. As for the interventions, most participants considered them significant and positive for their mental well-being, highlighting positive aspects such as the possibility of creating community with their peers or a feeling of self-efficacy. However, the access to interventions was uneven among participants and most interventions presented areas for improvement, such as the periodicity of psychological distress screening or the response time to material needs. ConclusionsEfforts to support CHW well-being in the areas they signal as needs can impact their experiences around work and their perceived well-being. Access to work materials, preparedness on clinical topics, and relationships with their teams are key areas that may have a bearing on CHWs' emotional and mental well-being. Interventions aimed at these areas can positively impact CHWs’ self-efficacy, their community with each other, and their interactions with patients.

Achieving Work-Life Balance as an Organizational Leader: Strategies for Leaving Work at Work

This article explores research-backed strategies that organizational leaders can implement to effectively achieve work-life balance and integration. It discusses the importance of leaders setting clear expectations and boundaries around work hours and responsibilities through formal policies, communication of response times, and role modeling healthy behaviors. It also addresses the need for leaders to create intentional boundaries when using technology and shift to a "work to live" mindset. The article outlines techniques leaders can use to make time for rest and recharging, such as scheduling vacations and practicing daily decompression routines. It emphasizes the value of leaders showing empathy, understanding, flexibility, and distributing work equitably. Finally, the article encourages leaders to promote employees' well-being through benefits, on-site activities, and opportunities for volunteer/learning days and growth. The purpose is to provide guidance for optimizing sustainable work-life integration to benefit both individuals and organizations.

High-Efficiency MPPT Strategy for PV Systems: Ripple-Free Precision with Comprehensive Simulation and Experimental Validation

This paper presents a newly developed maximum power point (MPP) tracking algorithm (MPPT) to boost the tracking performance of solar photovoltaic (PV) systems. By functioning PV arrays at their MPP and eliminating the ripple problem in the converter's output, the newly developed strategy can markedly improve the precision of tracking and overcome the issues faced by many existing algorithms. The proposed strategy uses an MPP voltage boundary to control the PV voltage and directly generate the required duty cycle using a mathematic expression, resulting in a high convergence speed, drift problem avoidance, and zero MPP fluctuations. To prove and validate the robustness of tracking of the suggested MPPT strategy, both simulation and experiment validations based on the MATLAB/Simulink and dSPACE DS1104 board platforms, respectively, are carried out under swift variations in solar irradiance. The effectiveness of the proposed approach is evaluated by comparing it to the InC algorithm in terms of tracking accuracy. The results from both simulations and experiments demonstrate that the suggested strategy surpasses the InC approach in multiple aspects. It exhibits a shorter response time, eliminates the ripple problem, and achieves a superior tracking efficiency of 99.60%.

Nanorod-based smart windows with solid-gel electrolyte: An integrated electrochromic and pseudocapacitive technology for energy-saving and conversion

We fabricated two emerging nanorod-based smart windows with WO3 and NiO nanorods grown on the ITO/glass and ITO/muscovite mica (MM) substrates, respectively. The WO3/ITO/glass and WO3/ITO/MM substrates are excellent working electrodes, while the NiO/ITO/glass and NiO/ITO/MM substrates are exceptional counter electrodes. The nanorod-based WO3/Li+(s)/NiO@glass smart window consists of a WO3/ITO/glass working electrode, a NiO/ITO/glass counter electrode, and a solid-gel LiClO4 electrolyte (labeled as Li+(s)), respectively. The other nanorod-based WO3/Li+(s)/NiO@MM is comprised of a WO3/ITO/MM working electrode, a NiO/ITO/MM counter electrode, and a solid-gel LiClO4 electrolyte, respectively. Both the nanorod-based WO3/Li+(s)/NiO@glass and WO3/Li+(s)/NiO@MM smart windows have brilliant dual-band (red and near-infrared lights) electrochromic behaviors, such as large transmittance differences (ΔT), fast response times (bleaching time, tb, and coloration time, tc) at red (680nm) and near infrared (1000nm) lights and great electrochromic retention (4,000 cycles), and outstanding pseudocapacitive performances like good specific capacitances of ~18.4F/g and ~7.6F/g, intensive power densities of ~1779W/kg and ~2100W/kg with corresponding energy densities of ~5.4Wh/kg and ~2.2Wh/kg, enormous pseudocapacitive retention (10,000 cycles), and so on. Therefore, the brilliant dual-band electrochromic behaviors and outstanding pseudocapacitive performances make the nanorod-based WO3/Li+(s)/NiO@glass and WO3/Li+(s)/NiO@MM smart windows tremendous for use in multifunctional energy-saving-conversion devices.

Development and Validation of a Novel Night-Time Hazard Visibility Test.

Night-time driving is dangerous, with increased crash rates, particularly involving vulnerable road users. A Night-Time Hazard Visibility Test (NHVT) was developed and validated by exploring the effects of refractive and cataract blur on performance. The NHVT comprised video clips of night-time roads from the driver's perspective, including different hazards (pedestrians, cyclists, and vehicles). Participants responded when they first recognized hazards requiring them to take evasive action to avoid a collision. In experiment 1, there were 16 young visually normal drivers (mean age = 22.3, standard deviation [SD] = 2.2 years) who completed 2 NHVT sets, viewed separately through best-correction and refractive blur (+1.00 diopter sphere [DS]). In experiment 2, a refined version of the NHVT was administered to an additional 16 young visually normal drivers (mean age = 21.1, SD = 1.2 years) with best-correction and cataract blur. The order of visual conditions and NHVT sets were counterbalanced. In experiment 1, refractive blur significantly reduced photopic visual acuity (VA) compared to best-corrected vision (+0.09 vs. -0.21 logMAR, P < 0.001) and delayed response times by 0.69 seconds (3.10 vs. 2.41 seconds, P < 0.001) compared to best-corrected vision. In experiment 2, cataract blur reduced VA compared to best-corrected vision (+0.03 vs. -0.17 logMAR, P < 0.001) and delayed response times by 0.63 seconds (2.92 vs. 2.29 seconds, P < 0.001). The NHVT was sensitive to refractive and cataract blur, providing preliminary support of its validity as a measure of night-time hazard visibility performance. The NHVT has potential as an off-road assessment of visibility for night driving and application for assessment of drivers with different refractive corrections and ocular diseases.

A Promising Platform for the Rapid and Sensitive sensing of Mercury Ion and its applications in biological and environmental system

Mercury ion (Hg2+) is one of harmful heavy metal ions that can accumulate inside the human organism and cause some health problems. Herein, a novel NBD derivative, 1-(2-((7-nitrobenzo[c] [1,2,5] oxadiazol-4-yl) amino) ethyl)-3-phenylthiourea (NBD-SCN), has been reasonably designed, which was simply synthesized by introducing NBD moiety as the fluorophore, phenyl-isothionitrate as the reaction site and ethylenediamine as a linker group, resulting in intense fluorescence emission with high fluorescence quantum yields. Intriguingly, probe NBD-SCN provides a dual-mode colorimetric and fluorescence response pattern for the sensing of mercury ion with great limit of detections (3.6 nM) and rapid response time (4 s). The strong combination of mercury ions and sulfur atoms leads to intramolecular cyclization, causing the color of probe solution changed from orange to pale yellow as well as a complete vanishing of fluorescence intensity. The proposed reaction mechanism was verified by fluorescence and UV titration, 1H NMR, FTIR, HRMS analyses and DFT studies. Motivated by an impressive chromatic variation, test strip sensing platform are facilely constructed for real-time and on-site measurement of Hg2+ levels. Furthermore, confocal imaging experiments verify that this probe can be used for monitoring mercury ion in living mung bean sprouts and in biological systems in real time.