Ultrafast Detection Research Articles

Analyte-Induced Specific Regulation of Light-Responsive COF-Cu Nanozyme Activity for Ultrafast Thiram Colorimetric Sensing.

A light-responsive covalent-organic framework (COF) nanozyme, which integrates the advantages of the COF structure and light-stimulated nanozyme catalysis, is a class of sensing star materials with wide application prospects. However, the sensing methods based on light-responsive COF nanozymes are relatively single at present. Therefore, it is necessary to develop new sensing strategies to broaden its application in chemical sensing and achieve highly efficient detection. Here, a Cu2+-modified COF composite material (TpDA-Cu) was rationally designed. The addition of Cu significantly inhibits the excellent light-responsive nanozyme activity of TpDA itself. However, because of the restoration of the enzyme activity by thiram (Tr) and the oxidase mimic activity of the newly formed Cu/Tr complex, TpDA-Cu/Tr exhibits stronger light-responsive nanozyme activity. Enzyme kinetic data show that compared with TpDA, TpDA-Cu/Tr has a larger Vmax value, which can achieve efficient catalytic oxidation of 3,3',5,5'-tetramethylbenzidine (TMB). In addition, the strong coordination effect of Tr and TpDA-Cu also plays a key role in achieving ultrafast, sensitive, and selective colorimetric detection of Tr. This work develops a dual activity regulation strategy of light-responsive COF nanozymes based on analyte induction and provides a new perspective for the application of light-responsive COF nanozymes in the field of sensing.

Visual monitoring of hydrazine in food and environmental samples by wearable probe

Hydrazine is a poisonous compound that has been widely applied in the agricultural and chemical industry, leading to serious environmental pollution. Thus, the detection of hydrazine remained extremely important for ensuring food safety and environmental protection. Considering the importance of hydrazine detection for human health, a novel colorimetric/fluorescent probe (TPB) for the detection of hydrazine in various samples has been developed. In the presence of hydrazine, TPB emits a blue emission band at 452nm with high sensitivity (limit of detection equal to 40nM), ultrafast detection (less than 10s), broad working pH range (6−10), and strong anti-interference capabilities. These excellent performances have been exploited to fabricate hydrogel-based sensing labels (test kits, cotton swabs, glass rods, and gloves), which allowed the detection of hydrazine traces in soil, earthworms, plant samples, and living cells. This work presents a novel sensing approach for future research, aiming to develop a novel fluorescent probe exploiting the ICT process for the detection of hydrazine.

A quinolinium-based fluorescent probe for ultrafast detection of bisulfite and its applications in food detection, SO2 gas detection, and cell imaging

A quinolinium-based fluorescent probe for ultrafast detection of bisulfite and its applications in food detection, SO2 gas detection, and cell imaging

Ultrafast and Ultrasensitive Bacterial Detection in Biofluids: Leveraging Resazurin as a Visible and Fluorescent Spectroscopic Marker.

Here we report the application of chemometric analysis for modeling absorbance spectroscopy and fluorescence emission data from a resazurin-based assay targeting low-level bacterial detection in biofluids. Bacteria spiked samples were incubated with resazurin and absorbance and fluorescence data were collected at 30 min intervals. The absorbance data was subjected to Principal Component Analysis (PCA) and Partial Least Squares Regression (PLSR) and compared with the univariate fluorescence spectroscopy approach. The analysis demonstrated the multidimensional nature of the absorbance data, highlighting the appearance of the resorufin peak at the 2 h time point with a low bacterial inoculum of 0.01 CFU mL-1 across all the samples tested-water, urine and serum. The PLSR models supported the PCA data and exhibited strong predictive capabilities for water (RC2 = 0.937, RCV2 = 0.934), urine (RC2 = 0.899, RCV2 = 0.880) and serum (RC2 = 0.985, RCV2 = 0.967). Conversely, fluorescence is contingent upon resorufin existence, necessitating a prolonged waiting period postincubation with resazurin to verify the presence of bacteria, especially when contamination levels are low. Given the substantial global impact of bacteria-related infections, this method detects bacteria at low concentrations precisely and rapidly, improving efficiency and adaptability for point-of-care settings, promising swift diagnosis of bacterial infections, environmental monitoring, or food-quality control.

UFLD enhancements: New loss function and image masking

In the field of autonomous driving, lane detection plays a crucial role in ensuring safety and accuracy in navigation. This paper presents enhancements to the Ultra Fast Lane Detection (UFLD) model by introducing a new loss function that ensures smoother and more continuous lane lines, and incorporating image masking techniques to simulate real-world occlusions. These modifications improve the models robustness, particularly in scenarios with degraded lane markings. Through extensive experimentation on the TuSimple dataset, we demonstrate that the proposed enhancements lead to more accurate and realistic lane detection, especially in challenging environments.

Gas-sensitive synergistic effect of Au-decorated ZnO nano-structured materials for rapid ethanol detection based on simulated sunlight activation

Local surface plasmon resonance (LSPR) and noble metal modification/doping are classical methods for improving the performance of metal-oxide-semiconductor (MOS)-based gas sensors. However, relatively less attention is paid to their synergies. In particular, research on synergistic gas-sensing technology that combines sunlight activation with other methods is significant for using friendly energy. In this study, Au-decorated ZnO (Au/ZnO) nano-structured materials (NMs) are successfully synthesised using a cost-effective nano-seed-assisted chemical bath and UV irradiation growth methods. The sensor based on this material exhibits superior performance in ethanol vapour under simulated sunlight, maintaining high sensitivity and repeatability at a low optimal working temperature. In particular, the sensitivity to 100 ppm of ethanol is 7.5 times better and the response time is 20 times shorter (tres < 1 s) in simulated sunlight than in the dark environment. The limit of detection (LOD) of ethanol is as low as 97 ppb, which is much lower than the concentration in exhaled breath of driving under the influence of alcohol according to Chinese law (20–80 ppm). This study provides a reliable and ultra-fast ethanol detection method, with potential applications in environmental monitoring and traffic safety. A possible gas-sensitive mechanism of the Au/ZnO ethanol vapour sensor is proposed based on the synergistic effect between simulated sunlight activation (LSPR, humidity resistance and thermal activation) and noble metal modification (electron sensitisation and chemical sensitisation). It provides a promising method for exploring the utilisation of sunlight for rapid gas detection.

Study of modulation in complex refractive indices induced by ultrafast relativistic electrons using infrared and THz probe pulses.

Objective &#xD;Achieving ultra-precise temporal resolution in ionizing radiation detection is essential, particularly in positron emission tomography, where precise timing enhances signal-to-noise ratios and may enable reconstruction-less imaging. A promising approach involves utilizing ultrafast modulation of the complex refractive index, where sending probe pulses to the detection crystals will result in changes in picoseconds (ps), and thus a sub - 10 ps coincidence time resolution can be realized. Towards this goal, here, we aim to first measure the ps changes in probe pulses using an ionizing radiation source with high time resolution.&#xD;Approach &#xD;We used relativistic, ultrafast electrons to induce complex refractive index and use probe pulses in the near-infrared (800 nm) and terahertz (THz, 300 µm) regimes to test the hypothesized wavelength-squared increase in absorption coefficient in the Drude free-carrier absorption model. We measured BGO, ZnSe, BaF2, ZnS, PBG, and PWO with 1 mm thickness to control the deposited energy of the 3 MeV electrons, simulating ionization energy of the 511 keV photons. &#xD;Main results &#xD;Both with the 800 nm and THz probe pulses, transmission decreased across most samples, indicating the free carrier absorption, with an induced signal change of 11% in BaF2, but without the predicted Drude modulation increase. To understand this discrepancy, we simulated ionization tracks and examined the geometry of the free carrier distribution, attributing the mismatch in THz modulations to the sub-wavelength diameter of trajectories, despite the lengths reaching 500 µm to 1 mm. Additionally, thin samples truncated the final segments of the ionization tracks, and the measured initial segments have larger inter-inelastic collision distances due to lower stopping power (dE/dx) for high-energy electrons, exacerbating diffraction-limited resolution. &#xD;Significance&#xD;Our work offers insights into ultrafast radiation detection using complex refractive index modulation and highlights critical considerations in sample preparation, probe wavelength, and probe-charge carrier coupling scenarios.

CMUT for ultrafast passive cavitation detection during ultrasound-induced blood–brain barrier disruption: proof of concept study

Objective.Cavitation dose monitoring plays a key role in ultrasound drug delivery to the brain. The use of capacitive micromachined ultrasonic transducer (CMUT) technology has a great potential for passive cavitation detection (PCD).Approach.Here, a circular (diameter 7 mm) CMUT centered at 5 MHz was designed to be inserted into a therapeutic transducer (1.5 MHz) used for ultrasound-induced blood-brain barrier (BBB) disruption on mice. CMUT-based real-time cavitation detection was performed during the ultrasound procedure (50μl intravenous injection of SonoVue microbubbles, frequency 1.5 MHz, PNP 480 kPa, duty Cycle 10%, PRF 10 Hz, duration 60 s). BBB disruption were confirmed by contrast-enhanced 7T-MRI.Main results.The CMUT device has a fractional bandwidth of 140%, almost twice a conventional piezocomposite PCD transducer. As expected, the CMUT device was able to detect the occurrence of harmonic, subharmonic and ultraharmonic frequencies as well as the increase of broadband signal indicating inertial cavitation in a wide frequency range (from 0.75 to 6 MHz). Signal-to-noise ratio was high enough (>40 dB) to perform ultrafast monitoring and follow the subtle intrapulse variations of frequency components at a rate of 10 kHz.Significance. This firstin vivoproof of concept demonstrates the interest of CMUT for PCD and encourages us to develop devices for PCD in larger animals by integrating an amplifier directly to the CMUT front-end to considerably increase the signal-to-noise ratio.

Ultrafast detection of bisulfite by a unique quinolinium-based fluorescent probe and its applications in smartphone-assisted food detection and bioimaging

Sulfur dioxide (SO2) is one of the major pollutants in the atmosphere, which is highly susceptible to inhalation by the human body and is converted into its derivatives (HSO3−/SO32−), which is hazardous to both human health and the ecological environment. Therefore the detection of SO2 derivatives (HSO3−/SO32−) is very important. In this work, we have prepared ID-QL, a water-soluble fluorescent probe based on the intramolecular charge transfer (ICT) mechanism, it exhibits colorimetric and fluorescent dual-channel response to HSO3− with ultrafast, highly selective and sensitive detection. In particular, ID-QL can be used for quantitative detection of HSO3− in real food samples. We developed a portable test strip for ID-QL and successfully combined it with smartphone to achieve convenient, low-cost and portable detection of HSO3− in real samples. The probe displays good mitochondrial targeting ability and can be used for visual monitoring and imaging of sulfites in live cells and zebrafish.

Rational design of an ultrabright quinolinium-fused rhodamine turn-on fluorescent probe for highly sensitive detection of SO2 derivatives: Applications in food safety and bioimaging

Sulfur dioxide (SO2) is an essential signaling molecule involved in various physiological processes within living organisms. Bisulfite (HSO3−) possesses antioxidant, antimicrobial, and preservative properties, making it a common food additive. However, elevated levels of SO2 or excessive HSO3− intake can lead to a range of diseases, highlighting the importance of detecting SO2 and its derivatives (HSO3−/SO32−). This study presents a quinolinium-fused rhodamine fluorogenic probe (RQB-R) for ultrafast, highly selective, and sensitive detection of HSO3−. The probe operates via a dual-response mechanism, exhibiting a visible color change and a transition from nonemissive to intense red fluorescence upon interaction with HSO3−. The detection mechanism involves a 1,4-nucleophilic addition reaction of HSO3− at the 4-position of the quinolinium unit, which bypasses the photoinduced electron-transfer fluorescence quenching pathway and activates the intramolecular charge transfer mechanism, thereby enhancing fluorescence emission. Practical applications of the RQB-R probe include rapid quantification of HSO3− levels in sugar samples and integration into smartphone-assisted detection platforms. This method demonstrates excellent biocompatibility and enables visualization of both exogenous and endogenous HSO3− within MCF-7 cells, with a specific focus on targeting mitochondria.

Controlling friction energy dissipation by ultrafast interlayer electron-phonon coupling in WS2/graphene heterostructures

Electrons and phonons are regarded as the microscopic carriers of friction energy dissipation and their coupling is a typical dissipation mode. However, due to the lack of ultrafast detection technic, the friction mechanism about electron-phonon coupling remains unexplained. Here, using high resolution non-contact atomic force microscopy and ultrafast pump-probe spectroscopy, we find that interlayer electron-phonon coupling dissipation channel in WS2/graphene heterostructures can be enhanced by defects and the electron-phonon scattering time is accelerated from 0.62ps to 0.27ps. The enhanced electron-phonon coupling leads to significant energy dissipation. We further quantitatively model the friction with dissipation rate to control the friction energy dissipation by ultrafast interlayer electron-phonon coupling. This work provides a new way to understand the mechanism of electron-phonon coupling in friction.

Optical fibre based artificial compound eyes for direct static imaging and ultrafast motion detection

Natural selection has driven arthropods to evolve fantastic natural compound eyes (NCEs) with a unique anatomical structure, providing a promising blueprint for artificial compound eyes (ACEs) to achieve static and dynamic perceptions in complex environments. Specifically, each NCE utilises an array of ommatidia, the imaging units, distributed on a curved surface to enable abundant merits. This has inspired the development of many ACEs using various microlens arrays, but the reported ACEs have limited performances in static imaging and motion detection. Particularly, it is challenging to mimic the apposition modality to effectively transmit light rays collected by many microlenses on a curved surface to a flat imaging sensor chip while preserving their spatial relationships without interference. In this study, we integrate 271 lensed polymer optical fibres into a dome-like structure to faithfully mimic the structure of NCE. Our ACE has several parameters comparable to the NCEs: 271 ommatidia versus 272 for bark beetles, and 180o field of view (FOV) versus 150–180o FOV for most arthropods. In addition, our ACE outperforms the typical NCEs by ~100 times in dynamic response: 31.3 kHz versus 205 Hz for Glossina morsitans. Compared with other reported ACEs, our ACE enables real-time, 180o panoramic direct imaging and depth estimation within its nearly infinite depth of field. Moreover, our ACE can respond to an angular motion up to 5.6×106 deg/s with the ability to identify translation and rotation, making it suitable for applications to capture high-speed objects, such as surveillance, unmanned aerial/ground vehicles, and virtual reality.

An integrated framework for driving risk evaluation that combines lane-changing detection and an attention-based prediction model

Objective In recent years, the increase in traffic accidents has emerged as a significant social issue that poses a serious threat to public safety. The objective of this study is to predict risky driving scenarios to improve road safety. Methods On the basis of data collected from naturalistic driving real-vehicle experiments, a comprehensive framework for identifying and analyzing risky driving scenarios, which combines an integrated lane-changing detection model and an attention-based long short-term memory (LSTM) prediction model, is proposed. The performance of the 4 machine learning methods on the CULane data set is compared in terms of model running time and running speed as evaluation metrics, and the ultrafast network with the best performance is selected as the method for lane line detection. We compared the performance of LSTM and attention-based LSTM on the basis of the prediction accuracy, recall, precision, and F1 value and selected the better model (attention-based LSTM) for risky scenario prediction. Furthermore, Shapley additive explanation analysis (SHAP) is used to understand and interpret the prediction results of the model. Results In terms of algorithm efficiency, the running time of the ultrafast lane detection network only requires 4.1 ms, and the average detection speed reaches 131 fps. For prediction performance, the accuracy rate of attention-based LSTM reaches 96%, the precision rate is 98%, the recall rate is 96%, and the F1 value is 97%. Conclusions The improved attention-based LSTM model is significantly better than the LSTM model in terms of convergence speed and prediction accuracy and can accurately identify risky scenarios that occur during driving. The importance of factors varies by risky scenario. The characteristics of the yaw rate, speed stability, vehicle speed, acceleration, and lane change significantly influence the driving risk, among which lane change has the greatest impact. This study can provide real-time risky scenario prediction, warnings, and scientific decision guidance for drivers.

Ultra-fast, selective and pseudo-quantitative analysis of 99Tc in nuclear waste for screening purposes

Controlling radioactivity is essential in various fields, such as the decommissioning of nuclear power plants and nuclear medicine. In some cases, a full characterization of samples is not required; instead, a screening analysis that provides an overall indication of the activity present can be sufficient to determine if a sample is radioactive. This article introduces a new system called PSkits designed specifically for ultra-fast and selective screening detection of 99Tc. PSkits consist of a plastic scintillation layer attached to the bottom of a scintillation vial, coated with aliquat·336® as a selective extractant. In this study, the preparation of PSkits was optimized by adjusting the proportions of crosslinker, porogen, and the type of vial used. The analysis method was developed, and the selectivity against common interferences was tested by optimizing the rinsing media. Finally, PSkits were validated by analysing simulated nuclear waste samples and urine spiked samples, achieving satisfactory results with quantification errors below 50 %, demonstrating their effectiveness for the intended purpose

Nitrogen-doped polydopamine manganese nanoparticles with excellent oxidase-like activity for ultrafast detection of glutathione at room temperature

Glutathione (GSH) is an essential natural antioxidant, and plays a crucial role in the prevention of various diseases. Herein, a nitrogen-doped polydopamine manganese nanoparticle (N-PDA@Mn) was prepared and used as nanozyme sensor for the rapid and colorimetric detection of GSH. N-PDA@Mn demonstrated excellent oxidase-like activity (Km = 0.0841 mM and Vmax = 3.6 × 10-7 MS-1), exhibiting a rapid balance period of < 100 s. N-PDA@Mn could activate dissolved oxygen to primarily generate singlet-oxygen (1O2), which oxidized colorless 3,3′, 5, 5′-tetramethylbenzidine (TMB) to blue oxidized (ox-TMB). Because GSH could rapidly deplete 1O2, an ultrafast and colorimetric strategy was developed for GSH detection based on N-PDA@Mn. The GSH detection range was 0.5–100 μM, and the detection limit was 0.28 µM. Importantly, at room temperature, the detection time was only 30 s, which was short than that of previously reported GSH detection methods. Furthermore, a point-of-care testing (POCT) platform was designed by combining the N-PDA@Mn colorimetric sensor with a smartphone. Use the POCT platform, a broad linear detection range of 0.5–100 μM and a detection limit of 0.40 μM were obtained. Subsequently, the N-PDA@Mn colorimetric sensor and POCT platform were successfully used in the real-time and on-site quantification of GSH in human serum, achieving a high accuracy and good recovery. Therefore, the N-PDA@Mn-based methods could realize the rapid, on-site visualization, and economical detection of GSH, demonstrating their substantial potential for application in practical testing in fields of food and medicine.

Gold nanoclusters and amino-modified mesoporous silica-encapsulated carbon dot fluorescence nanosensors combined with LightGBM algorithm for ultra-fast detection of Co2+

In this study, we develop a novel ratiometric fluorescent nanosensor for the detection excess Co2+ in soil. This fluorescent nanosensor is fabricated using mesoporous silica-encapsulated nitrogen-doped carbon dots (N-CDs@mSiO2) and gold nanoclusters stabilized by bovine serum albumin (BSA-AuNCs). The green fluorescence of the carbon dots within the mesoporous silica spheres (mSiO2) serves as an internal reference signal. The red fluoresence BSA-AuNCs are covalently connected onto the surface of amino-functionalized nanospheres (N-CDs@mSiO2-NH2), providing the response signal. This nanosensor has dual emission peaks at 520 nm and 650 nm under excitation wavelength of 380 nm. The addition of Co2+ to this nanosensor causes the fluorescence quenching at 650 nm while the green fluorescence at 520 nm remains unchanged, resulting in fluorescence color change from yellow to green. The developed ratiometric fluorescence nanosensor exhibits excellent selectivity to Co2+ with a range of 2.00–200.00 μM and a detection limit as low as 0.74 μM. In addition, a Co2+ prediction model is developed using the Light Gradient Boosting Machine (LightGBM) algorithm. The entire detection process is within 10 s and the model prediction value is as high as 0.991 on average. This shows that the proposed fluorescent nanosensor, optimized with the LightGBM algorithm, provides an efficient, environmentally friendly and potentially practical solution for Co2+ detection.

Chemiresistive room temperature H2S gas sensor based on MoO3 nanobelts decorated with MnO2 nanoparticles

In this work, we develop ultrafast detection and reversible H2S gas sensor at room temperature (RT, 23 ℃). The optimized MoO3/MnO2 (MM-10) sensor exhibits remarkable sensitivity to H2S with a response of 32.51–100 ppm H2S at RT, which is approximately 21.82 times higher than that of the MoO3 sensor. Further, the MM-10 sensor demonstrates a fast response of 5.71–1000 ppb H2S with response/recovery times of 40/42 s at RT. More surprisingly, the theoretical limit of the MM-10 sensor for detecting H2S gas is as low as 4.58 ppb at RT, which addresses the limitation of binary heterojunction-based sensors in detecting ppb-level H2S gas at RT. After 49 days, the MM-10 sensor still demonstrates reliable stability, ensuring the long-term detection to ppb-level H2S at RT in practical applications. Notably, as the relative humidity increases from 30 % to 90 %, the response only decreases by about 17 %, indicating an excellent shielding ability against water molecules. Additionally, it is found that 1 % relative humidity change has a comparable effect on MM-10 sensor as approximately 5.58 ppb H2S gas. The significant enhancement mechanism on the sensing surface in the context of H2S/MoO3/MnO2 interaction is also thoroughly discussed.

Coupled nanopores for single-molecule detection.

Rapid sensing of molecules is increasingly important in many studies and applications, such as DNA sequencing and protein identification. Here, beyond atomically thin 2D nanopores, we conceptualize, simulate and experimentally demonstrate coupled, guiding and reusable bilayer nanopore platforms, enabling advanced ultrafast detection of unmodified molecules. The bottom layer can collimate and decelerate the molecule before it enters the sensing zone, and the top 2D pore (~2 nm) enables position sensing. We varied the number of pores in the bottom layer from one to nine while fixing one 2D pore in the top layer. When the number of pores in the bottom layer is reduced to one, sensing is performed by both layers, and distinct T- and W-shaped translocation signals indicate the precise position of molecules and are sensitive to fragment lengths. This is uniquely enabled by microsecond resolution capabilities and precision nanofabrication. Coupled nanopores represent configurable multifunctional systems with inter- and intralayer structures for improved electromechanical control and prolonged dwell times in a 2D sensing zone.

Ultrafast DNA detection based on turn-back loop primer-accelerated LAMP (TLAMP)

Rapid DNA detection is a long-pursuing goal in molecular detection, especially in combating infectious diseases. Loop-mediated isothermal amplification (LAMP) is a robust and prevailing DNA detection method in pathogen detection, which has been drawing broad interest in improving its performance. Herein, we reported a new strategy and developed a new LAMP variant named TLAMP with a superior amplification rate. In this strategy, the turn-back loop primers (TLPs) were devised by ingeniously extending the 5’ end of the original loop primer, which conferred the new role of being the inner primer for TLPs while retaining its original function as the loop primer. In theory, based on the bifunctional TLPs, a total of eight basic dumbbell-like structures and four cyclic amplification pathways were produced to significantly enhance the amplification efficiency of TLAMP. With the enhancing effect of TLPs, TLAMP exhibited a significantly reduced amplification-to-result time compared to the conventional six-primer LAMP (typically 1 h), enabling rapid DNA detection within 20 min. Furthermore, TLAMP proved to be about 10 min faster than the fast LAMP variants reported so far, while still presenting comparable sensitivity and higher repeatability. Finally, TLAMP successfully achieved an ultrafast diagnosis of Monkeypox virus (MPXV), capable of detecting as few as 10 copies (0.67copies/μL) of pseudovirus within 20 min using real-time fluorescence assay or within 30 min using a colorimetric assay, suggesting that the proposed TLAMP offers a sensitive, specific, reliable, and, most importantly, ultrafast DNA detection method when facing the challenges posed by infectious diseases.

Ion coordination and chelation in Eu-MOFs matrices: Ultrafast fluorescence visual quantification monitoring of antibiotic residues

Rapid monitoring of trace antibiotics in the field in real time is essential for environment forewarning and human health. High sensitivity and real-time on-site quantitative monitoring of antibiotic residues can be accomplished by integrating portable sensors alongside fluorescent optics to construct an intelligent sensing platform that smoothly eliminates the instability of conventional detection methods. In this study, a ratiometric fluorescence sensor for the ultrasensitive detection of pefloxacin was built employing the photoinduced electron transfer (PET) mechanism from red Eu-MOFs to Mn2+-PEF complex. A visual color change results from the photoinduced electron transfer process from manganese ions to pefloxacin weakening the ligand metal charge transfer (LMCT) process in Eu-MOFs. This enables the ultrafast visible detection of pefloxacin and produces a transient shift in visual color with a detection limit as low as 15.4 nM. For the detection of pefloxacin in water, tomato, and raw pork samples, various sensing devices based on the developed fluorescent probes exhibit good practicability and accuracy. With the development of the ratiometric fluorescence sensing probe, it is now possible to quickly and quantitatively identify pefloxacin residues in the environment, offering a new method for ensuring the safety of food and people's health.