Detection Range Research Articles

Chronic wound management: a liquid diode-based smart bandage with ultrasensitive pH sensing ability

Chronic wounds, which require prolonged healing periods, pose significant impacts on individuals with diabetes, vascular diseases, and high blood pressure. Simultaneous drainage and monitoring of wound exudate are vital for advanced wound management. However, recently reported smart dressings either lack integration of wound cleaning and monitoring functions or fail to achieve dynamic in situ monitoring of wound status, which hinders their ability to meet the demands of wound care. In this study, a smart bandage is introduced, which integrates a biocompatible liquid diode membrane with an ultrasensitive 3D polyaniline mesh (M-PANI)-based pH biosensor. The smart bandage allows for unidirectional drainage of wound exudate while dynamically sensing the wound pH environment. Specifically, the proposed smart bandage effectively cleans excessive wound exudate while providing real-time information on the wound status during the drainage process. The M-PANI-based pH biosensor demonstrates a high sensitivity of 61.5 mV/pH and a wide pH detection range from 4.0 to 10.0, encompassing the pH range of normal and infected wounds. Moreover, the sensing module exhibits excellent stability after 48 hours of dynamic testing and 28 days of storage, with only a 4.8% decline in the detected signal, and high repeatability with a device-to-device relative standard deviation (RSD) of 3.1%. To evaluate the practicality of this smart bandage, simulated skin and rats have been employed, and the results indicate the immense potential of this smart bandage for clinical applications. In conclusion, the present smart bandage demonstrates considerable promise for wound exudate cleaning and monitoring in advanced wound care and offers a promising method for home-based wound management.

MXene Nanoconfinement of SAM-Modified Molecularly Imprinted Electrochemical Biosensor for Point-of-Care Monitoring of Carcinoembryonic Antigen.

The high rate of cancer worldwide and the heavy costs imposed on governments and humanity have always motivated researchers to develop point-of-care (POC) biosensors for easy diagnosis and monitoring of cancer treatment. Herein, we report on a label-free impedimetric biosensor based on Ti3C2Tx MXene and imprinted ortho-phenylenediamine (o-PD) for the detection of carcinoembryonic antigen (CEA), a biomarker for various cancers surveillance, especially colorectal cancer (CRC). Accordingly, MXene was drop-casted on the surface of a disposable silver electrode to increase the sensitivity and create high-energy nanoareas on the surface, which are usable for protein immobilization and detection. A self-assembled monolayer (SAM) was exploited for oriented CEA immobilization on the MXene-modified electrode. The monomer-protein interaction and successful protein removal were confirmed by molecular docking and atomic force microscopy (AFM) investigations to evaluate the quality of the fabricated molecularly imprinted polymer (MIP). Also, the role of MXene in increasing the electrical field inside the nanoareas was simulated using COMSOL Multiphysics software. A suitable limit of detection (9.41 ng/mL), an appropriate linear range of detection (10 to 100 ng/mL) in human serum, and a short detection time (10 min) resulted from the use of SAM/MIP next to MXene. This biosensor presented outstanding repeatability (97.60%) and reproducibility (98.61%). Moreover, acceptable accuracy (between 93.04 and 116.04%) in clinical serum samples was obtained compared with immunoassay results, indicating the high potential of our biosensor for real sample analysis. This biomimetic and disposable sensor provides a cost-effective method for facile and POC monitoring of cancer patients during treatment.

Widening of Dynamic Detection Range in Real-Time Angular-Interrogation Surface Plasmon Resonance Biosensor Based on Anisotropic Van Der Waals Heterojunction

Surface plasmon resonance (SPR) biosensors have experienced rapid development in recent years and have been widely applied in various fields. Angular-interrogation SPR biosensors play an important role in the field of biological detection due to their advantages of reliable results and high stability. However, angular-interrogation SPR biosensors also suffer from low detection sensitivity, poor real-time performance, and limited dynamic detection range, which seriously restricts their application and promotion. Therefore, we designed an angular-interrogation SPR biosensor based on black phosphorus (BP)/graphene two-dimensional (2D) van der Waals heterojunction (vdWhs). On the basis of using the angle-fixed method, this biosensor not only has good real-time performance but also detection sensitivity enhancement. The optical anisotropy characteristic of BP is used to widen the dynamic detection range of biosensors. The simulation results show that the maximum detection sensitivity of the proposed biosensor is 258.6 deg/RIU. Compared with the bare-Ag film structure biosensor, the detection sensitivity was enhanced by 209.2% by 2D vdWhs. The use of anisotropic 2D material BP can not only enhance the detection sensitivity but also widen the detection range. When the fixed incident angle is θ = 5 deg, a maximum dynamic detection range enhanced factor of 123.1% can be achieved, and a detection sensitivity of 185.2 deg/RIU in the corresponding interval can be obtained. The proposed biosensor in this study has potential broad application prospects in several fields, such as biological detection.

MnO2 nanoparticles enhance the activity of the Zr-MOF matrix electrochemical sensor for efficiently identifying ultra-trace tetracycline residues in food.

Anovel nanobiosensor was constructed by in situ locating nanometer MnO2 particles with controllable size and morphology in a Zr-MOF substrate to serve as an electrochemical probe. The synergistic effect of the two components, Zr-MOFs with high specific surface area and compatibility as a carrier for MnO2, resulted in improved electrochemical activity and excellent electrochemical identification performance for the MnO2@Zr-MOF/GCE biosensor. Under optimized experimental conditions and using CV and DPV technology, the biosensor showed a wide linear detection range (2-200μM), a low detection limit (2.577 × 10-8M), a recovery range (106.26-115.01%), and maximum relative standard deviation (5.155) for tetracycline(TC) identification. The recognition mechanism of the sensor was investigated adopting Laviron adsorption theory. The applicability of the sensor was verified through practical measurements. Overall, the MnO2 @Zr-MOF/GCE sensor possesses the advantages of fast analysis speed, high sensitivity, high selectivity, and simple operation, making it suitable for detecting trace amounts of TC in food.

Application of a Screen-Printed Ion-Selective Electrode Based on Hydrophobic Ti3C2/AuNPs for K+ Determination Across Variable Temperatures.

Monitoring potassium ion (K+) concentration is essential in veterinary medicine, particularly for preventing hypokalemia in dairy cows, which can severely impact their health and productivity. While traditional laboratory methods like atomic absorption spectrometry are accurate, they are also time-consuming and require complex sample preparation. Ion-selective electrodes (ISEs) provide an alternative that is faster and more suitable for field measurements, but their performance is often compromised under variable temperature conditions, leading to inaccuracies. To address this, we developed a novel screen-printed ion-selective electrode (SPE) with hydrophobic Ti3C2 Mxene and gold nanoparticles (AuNPs), integrated with a temperature sensor. This design improves stability and accuracy across fluctuating temperatures by preventing water layer formation and enhancing conductivity. The sensor was validated across temperatures from 5 °C to 45 °C, achieving a linear detection range of 10-⁵ to 10-1 M and a response time of approximately 15 s. It also demonstrated excellent repeatability, selectivity, and stability, making it a robust tool for K+ monitoring in complex environments. This advancement could lead to broader applications in other temperature-sensitive analytical fields.

A Fish-Counting Method Using Fusion of Spatial Sensing and Temporal Information

In modern aquaculture, accurate and efficient fish counting is crucial for the optimization of resource management and the enhancement of production profitability. Acoustic methods, known for their low energy consumption and extensive detection range, are widely utilized for underwater fish counting. However, traditional acoustic echo methods heavily rely on prior knowledge of fish schools and specific distribution models, leading to complexity and limited adaptability in practical applications. This paper introduces a fish-counting approach that integrates spatial sensing with temporal information. Initially, a spatial sensing matrix is constructed using ultrasonic Frequency-Modulated Continuous Wave (FMCW) technology, which facilitates the extraction of multidimensional features from fish echoes and reduces reliance on prior knowledge of fish schools. Subsequently, temporal information is extracted from echo signals using a Long Short-Term Memory (LSTM) network model, preventing missed detections caused by obstructions in single fish echoes during echo sessions. Finally, by fusing spatial and temporal feature information and employing a data-driven approach, we achieve fish counting while avoiding potential issues arising from improper selection of statistical distribution models. Tests on real fish datasets show that our proposed method consistently outperforms conventional statistical echo methods across all metrics, demonstrating its effectiveness in accurate fish counting.

On-Site Electrochemical Sensor for Carbamazepine Monitoring in Aquatic Environments

Abstract This work analyzes the detection of carbamazepine (CBZ), a commonly used pharmaceutical that exhibits extended persistence in aquatic habitats, by the application of advanced sensor technologies. Owing to its chemical stability, CBZ is resistant to natural degradation, posing significant ecological risks in aquatic environments. Conventional techniques for CBZ detection, such as high-performance liquid chromatography and spectrophotometry, require intricate laboratory configurations and significant sample preparation, restricting their use for fast in situ monitoring. To tackle these issues, we created a portable electrochemical sensor using screen-printed electrodes on a flexible polyester-based substrate. Under optimized conditions, the sensor demonstrated high sensitivity in a linear detection range from 1 to 20 µM with a detection limit of 0.8 M by differential pulse voltammetry technique. Recovery range was found to be 93% to 107%, which further confirmed reliability, showing consistency in CBZ detection across varied concentration levels in wastewater. Preliminary results on continuous measurements have been carried out, demonstrating a promising application for prolonged analysis in real-settings.

A stable method for ionic rare earth element extraction and quantitative analysis of total quantity and composition of batch samples.

The development of a stable, high-precision and batch ion-adsorption rare earth element detection method is highly anticipated in the delineation and evaluation of the mining value of rare earth element mines. In this study, a novel mixed extractant of ammonium sulfate + ammonium citrate + aceto-sodium acetate buffer was used to significantly improve the extraction efficiency of rare earth elements. Following a series of parameter optimizations, an off-line internal standard addition method and the collision mode of the inductively coupled plasma-mass spectrometer were used to improve the detection efficiency for batch samples, effectively eliminating oxide interference between the rare earth elements and improving the detection accuracy. The detection limit for ion-adsorption rare earth elements was 3.4 μg g-1 and the detection range was 12-8000 μg g-1. More importantly, the spiked and recovery experiments carried out in multiple laboratories with internal quality control samples show that the relative deviation was -5.61 to 3.79%, which indicates that the method has sufficient stability. Establishment of this method will help to improve the comprehensive utilization efficiency of rare earth resources and provide important support for rare earth element mining.

Detection of Aβ40 in cerebrospinal fluid and plasma of Alzheimer's disease patients using photoelectrochemical biosensors.

Anultra-sensitive photoelectrochemical (PEC) biosensor for amyloid-beta 40 (Aβ40), a biomarker forAlzheimer's disease (AD), was developed using g-C₃N₄ modified with gold nanoparticles (Au NPs) to form Au-C₃N₄. This was further combined with TiO₂ to create a tightly bonded TiO₂/Au-C₃N₄ heterojunction, leading to a highly responsive photocatalytic process. Furthermore, the incorporation of noble metal Au NPs not only enhances photocurrent generation but also securely immobilizes the aptamer through Au-S bonds, providing additional surface binding sites. This significantly increases the sensor's capture efficiency. The sensor exhibited excellent performance, featuring a linear detection range from 10-15 to 10-11 g/mL and a remarkably low detection limit (LOD) of 0.33 fg/mL. Moreover, the validation in clinical settings demonstrated the successful detection in real cerebrospinal fluid (CSF) and plasma, from AD patients and non-AD controls. These results strongly suggest that PEC biosensors possess significant potential as cost-effective and highly sensitive tools for detecting ultra-trace substances in human body fluids, which offers promising opportunities for the early screening of high-risk populations for AD.

A probability-constraint-based method based on the honey badger algorithm for wind estimation with coherent Doppler wind lidar

Coherent Doppler wind lidar (CDWL) has emerged as an effective tool for analyzing wind velocity distributions. It utilizes the peak frequency of the signal spectrum to determine wind velocity. However, accurate identification of the spectrum peak in low signal-to-noise ratio (SNR) environments is complicated by noise pollution. Enhancing CDWL performance involves correcting the spectrum in these challenging areas. Existing probability-constraint-based methods (PCBMs) require empirical parameter settings, limiting their adaptability across different Doppler wind lidar environments. This paper proposes and demonstrates a probability-constraint-based method based on the honey badger algorithm (PCBM-HBA). The gate moving average method (GMAM) based on the spectrum obtains the reference wind velocity as a constraint. The correlation coefficient between the inverted wind velocity value of PCBM and the reference wind velocity is used as the negative value of the fitness function to obtain the optimal parameter σ. Simulation results based on the American Standard Atmosphere Model show that PCBM-HBA can measure wind fields in areas with low SNRs, and the maximum detection range improves from 3.8 to 5.4 km. During the inversion of the measured signal, the PCBM-HBA improves the inversion results of wind velocity under different pulse conditions, and the inversion results of the PCBM-HBA with 50 accumulated pulses are better than those of the traditional method with 150 accumulated pulses, which enhances the applicability of the PCBM and improves the performance of the system.

Phase-coded coherent microwave pulse generation based on an actively mode-locked optoelectronic parametric oscillator

An approach for generating phase-coded coherent microwave pulse trains at high frequencies is proposed and demonstrated based on an actively mode-locked optoelectronic parametric oscillator (AML-OEPO), where an electrical mixer is inserted into the cavity of an optoelectronic oscillator (OEO) to achieve both mode locking and parameter oscillation. The driving signal applied to the mixer is a low-frequency sinusoidal signal with voltage polarity coding, where the frequency is the same as the free spectral range (FSR) of the OEO cavity, and the duration of each voltage polarity coding bit is identical to the loop delay. As a result, phase-coded coherent microwave pulse trains can be generated, where the pulse interval is equal to the loop delay due to the active mode locking effect, and the phase coding period is equal to a multiple integer of the loop delay due to parameter oscillation. The enhancement of the signal period and the highly coherent characteristic are beneficial for breaking the contradiction between unambiguous detection range and ranging resolution in pulse radars. In the experiment, phase-coded microwave pulse trains with either 13-bit barker codes or 7-bit M codes are generated at 15.026 GHz. The autocorrelation calculation result of the phase-coded microwave pulse train with 13-bit barker codes shows a high peak-to-sidelobe ratio, verifying high coherence.

Impedimetric Sensor for SARS-CoV-2 Spike Protein Detection: Performance Assessment with an ACE2 Peptide-Mimic/Graphite Interface

The COVID-19 pandemic has prompted the need for the development of new biosensors for SARS-CoV-2 detection. Particularly, systems with qualities such as sensitivity, fast detection, appropriate to large-scale analysis, and applicable in situ, avoiding using specific materials or personnel to undergo the test, are highly desirable. In this regard, developing an electrochemical biosensor based on peptides derived from the angiotensin-converting enzyme receptor 2 (ACE2) is a possible answer. To this end, an impedimetric detector was developed based on a graphite electrode surface modified with an ACE2 peptide-mimic. This sensor enables accurate quantification of recombinant 2019-nCoV spike RBD protein (used as a model analyte) within a linear detection range of 0.167–0.994 ng mL−1, providing a reliable method for detecting SARS-CoV-2. The observed sensitivity was further demonstrated by molecular dynamics that established the high affinity and specificity of the peptide to the protein. Unlike other impedimetric sensors, the herein presented system can detect impedance in a single frequency, allowing a measure as fast as 3 min to complete the analysis and achieving a detection limit of 45.08 pg mL−1. Thus, the proposed peptide-based electrochemical biosensor offers fast results with adequate sensitivity, opening a path to new developments concerning other viruses of interest.

Catalytic effect of the in-situ rhodium(III) complexes in surfactant medium on the auto-oxidation of 1,2-hydroxyphenylthiourea: A theoretical and experimental study for rhodium(III) sensing

1,2-hydroxyphenylthiourea(HPTU) undergoes auto-oxidation to form an yellow colored dimer. The process of auto-oxidation is enhanced by the presence of trace quantities of transition metal ions and transition metal complexes that act as catalysts. In the current study, catalytic potential of rhodium(III) complexes on the auto-oxidation of 1,2-hydroxyphenylthiourea(HPTU) was studied theoretically using quantum mechanical calculations and experiments were carried out using photometry and fluorometry. DFT studies inferred that [Rh(Py)6]Cl3 showed a better catalytic activity in the dimerization of HPTU. Theoretical studies were subsequently validated through experiments using photometric methods and the range of detection was determined to be 6 ng/mL–100 ng/mL. The detection limit was observed to be 2 ng/mL. Analytical parameters such as pH, reagent concentration, metal ion concentration, appropriate activators and surfactants were established.

Preparation of cellulose nanofiber/polyvinyl alcohol-based composite films for metal ion detection by starch/disodium calcium ethylenediaminetetraacetate synergistic complexation effect

Heavy metal pollution causes irreversible damage to plants, animals, and humans. Therefore, it is meaningful to develop facile, fast, and efficient strategies for heavy metal ion (HMI) detection. Here, a portable composite film (CPSE) was designed for HMI detection with high sensitivity and wide detection range. The CPSE was prepared by using cellulose nanofibers (CNF)/polyvinyl alcohol (PVA) as the matrix and utilizing modified starch (HPS) to assist disodium calcium ethylenediaminetetraacetate (EDTA-Ca) to form stable complexes with HMI. The R, G and B values (the three primary colors of light) were captured using an image acquisition system to produce an HMI standard color card successfully. Specifically, the composite film can effectively distinguish Cu2+, Pb2+ and Fe3+. The response time of the composite film to HMI was 2–4 s, and the detection ranges of Cu2+ and Fe3+ were 5–700 ppm and 10–1000 ppm, respectively. Additionally, the synergistic effect of HPS and EDTA-Ca led to the increase in tensile strength (1.59–1.71 times), tear strength (3.29–3.57 times), and glass transition temperature (~ 6 °C) compared to CNF/PVA/HPS and CNF/PVA/EDTA-Ca films. This study confirms the value of CPSE films as materials for HMI detection and suggests innovative ideas for designing similar biomass detection materials in the future.

Fast-response and stable weak measurement system for protein-antibody specific detection

The probing technique for the specific binding of proteins and antibodies plays a crucial role in the domains of biotechnology, medicine, and pharmacology. The development of rapid and highly sensitive probing technique for specific interactions remains an enduring focus. This paper presents a quantum weak measurement technique for rapid and highly sensitive detection of protein-antibody specific binding, effectively reducing noise and achieving measurement accuracy approaching the standard quantum limit. The speed of our detection technology is determined by the response time of the dual-channel detection, which can reach nanoseconds. The results show that the detection limit can reach 26 ng/ml, and the detection range is 0∼3.44μg/ml. The quantum weak measurement technique developed in this study offers a heuristic approach for protein-antibody interaction detection with broad application prospects.

Metamaterials for high-performance smart sensors

In recent years, metamaterials have shown great potential in various fields such as optics, acoustics, and electromagnetics. Sensors based on metamaterials have been gradually applied in daily production, life, and military. Metamaterials are artificial materials with unique properties that ordinary materials do not possess. Through clever microstructure design, they can achieve different properties and have demonstrated significant potential in areas like holographic projection, absorbing materials, and super-resolution microscopy. Sensors are devices that convert external environmental changes into recognizable signals, playing a crucial role in various fields such as healthcare, industry, and military. Therefore, the development of sensors with high sensitivity, low detection limit, wide detection range, and easy integration is of great significance. Sensors based on metamaterials can not only achieve these improvements but also offer advantages like anti-interference and stealth sensing, which traditional sensors lack. These enhancements and new features are significant for the sensor field's development. This article summarizes the benefits of metamaterial sensors in terms of increased sensitivity, expanded detection range, and ease of system integration. It also systematically discusses their applications in various fields such as biomedical and gas sensing. The focus is on the potential applications and development trends of metamaterial-based sensors in the future of human life, providing systematic guidance for the field's advancement.

An amplification-free CRISPR/cas13a-powered dry chemistry-based electrochemiluminescence gene sensor for ultrasensitive RNA detection

In this work, a novel amplification-free CRISPR/cas13a-powered dry chemistry-based electrochemiluminescence (ECL) gene sensor was developed for ultrasensitive RNA detection, where the self-enhanced probe dried on the cloth-based closed bipolar electrode-ECL (C-BPE-ECL) lateral flow chip captured the trans-cleavage products of CRISPR/Cas13a. The poly-(L-lysine) (PLL) ability to covalently binding abundant Ru(II) luminescent substances was utilized to construct the intra-molecular self-enhanced ECL probes (S1 and S2), and as a result the ECL signals were greatly amplified and meanwhile no additional co-reactants were applied onto the lateral flow chip. In addition, the trans-cleavage of Cas13a served to amplify the signals, while CRISPR/Cas13a’s two-part recognition mechanism enhanced the detection specificity. Therefore, the proposed ECL method realized the amplification-free detection of RNA. With the optimized conditions, the proposed gene sensor had a wide linear range (10-105 fM) for RNA detection of Escherichia coli O157:H7, with a limit detection of 0.65 fM. Moreover, the sensor exhibited acceptable selectivity, reproducibility and storage stability, and had been successfully applied to detect Escherichia coli O157:H7 RNA in clinical human urine and blood samples. Importantly, the proposed method possessed good versatility for detection of different RNA targets, and provided the potential for rapid and sensitive detection in 20min. These results revealed that the ECL method possessed great prospects for RNA detection with wide applications.

Application of deep eutectic solvent based dispersive liquid–liquid microextraction method followed by HPLC-DAD for quantification of selected neonicotinoid pesticides in vegetable oils

The use of deep eutectic solvents (DES) as alternative green solvents in various analytical chemistry fields has garnered attention of researchers globally. Therefore, this study presents environmentally friendly DES for extraction of selected neonicotinoids (acetamiprid, imidacloprid, thiacloprid and thiamethoxam) prior to their determination using high-performance liquid chromatography- diode array detector (HPLC-DAD). The DES mixture that resulted in the highest extraction recoveries of neonicotinoids (NEOs) was choline chloride with ethylene glycol (CCl:EG) and nuclear magnetic resonance and Fourier transform infrared confirmed the successful synthesized CCl:EG. Thereafter, the CCl:EG was applied in dispersive liquid–liquid microextraction (DLLME) for the preconcentration and extraction of acetamiprid, imidacloprid, thiacloprid and thiamethoxam. The optimum factors affecting extraction efficiency of the DES-DLLME procedure were 0.8 mL (DES volume), 4.5 min (extraction time), 0.5 mL (eluent volume), 7 pH and 75 s (eluent time). The optimized DES-DLLME achieved limit of detection (LOD) and quantification (LOD) range of 0.4–4.95 ng.µL−1 and 1.43–9.70 ng.µL−1 respectively. Additionally, the extraction method achieved good accuracy (79.0–119.6 %), preconcentration factors (39.3–118), interday (0.61–1.62 %) and intraday (0.1–0.98 %) precisions. The greenness assessment of the proposed DES-DLLME method using AGREE, NEMI and AES tools revealed that the method was green. Finally, the developed DES-DLLME method was applied to real vegetable oils and the concentrations were below detection limits.

Gd(III)-Doped ZnO Nanorods on Chalcogenide-Modified Graphene for Enhanced Voltammetric Detection of Methyl Carbamate

Ronidazole (RNZ) is an essential veterinary antibiotic with potential carcinogenic effects. It can persist in the environment, contaminating water sources and entering the human food chain, posing significant health risks. Hence in this study, we synthesized gadolinium-doped zinc oxide (Gd@ZnO) nanorods embedded in sulfur-doped reduced graphene oxide (S-rGO) nanocomposite-based electrochemical sensor, designed to address these concerns. Furthermore, the as-prepared samples were characterized and analyzed using various analytical techniques. As per voltammetric result our proposed Gd@ZnO/S-rGO sensor demonstrates excellent LOD (0.0071 μM, 0.0023 μM), exceptional sensitivity (0.9270 μA μM–1 cm–2, 0.4941 μA μM–1 cm–2) and selectivity towards RNZ, with a wide linear range of detection (0.001 μM - 576.18 μM and 0.001 μM – 438.80 μM). Its efficacy in practicable applicability is further validated through testing with biological (bovine and chicken meat serum) and environmental samples (river water), demonstrating a satisfactory recovery rate of 97 to 101 %. All of the study’s findings show that the proposed sensor’s application is targeted toward monitoring RNZ in environmental water samples and food products, ensuring regulatory compliance and safeguarding public health.

Synthesis and application of Schiff base as a dual-mode chemosensor for optical determination of aluminium ion content in water samples

Aluminium is highly abundant in the earth's crust and has played a pivotal role in various industries for centuries. Its versatility and abundance have led to its widespread use in everything from food packaging to construction materials. However, this extensive use has also raised concerns about its potential impact on human health and the environment. This study aimed to synthesize and apply a Schiff base molecule, N-(2-hydroxy-1-naphthylmethylidene)-o-aminoacetophenone (N-HyNA), as an optical sensor for aluminium ion (Al3+) determination. The synthesis of N-HyNA was achieved with a high yield of 85% through the reaction of 2-Hydroxy-1-naphthaldehyde and 2-aminoacetonephenone. N-HyNA showed a maximum absorption wavelength at 465.0 nm, and fluorescence emission at 357.0 nm with the excitation wavelength of 278.0 nm. Both absorption and fluorescence signals of N-HyNA were selectively quenched in the presence of aluminium ion. Under optimal conditions for Al3+ detection, the absorption mode of N-HyNA with DMSO as a solvent had the limit of detection (LOD) of 0.005 ppm and detection range of 0.01 – 2.0 ppm, while the fluorescence mode with EtOH as a solvent had the LOD of 0.013 ppm and detection range of 0.05 – 0.40 ppm. The developed approach demonstrated good agreement in Al3+ determination with the conventional atomic absorption spectroscopic technique when using natural water samples and their standard-spiked samples with recovery ranging from 84.0 – 114.0 %. Additionally, analytical characterization was conducted to investigate the quenching mechanism between Al3+ and N-HyNA, and a computational study was performed to elucidate the binding position of Al3+ in the N-HyNA complex. This developed chemosensor offered a simple and fast, yet accurate and selective detection of Al3+ in water samples.