Actual Detection Research Articles

Feature Variable Selection for Near‐Infrared Spectroscopy Based on Simulated Annealing Bee Colony Algorithm

ABSTRACTVariable selection is an effective method to enhance the modeling performance of near‐infrared spectroscopy. Given the promising application prospects of intelligent optimization algorithms in spectral feature variable selection, this article combines the artificial bee colony algorithm with the simulated annealing algorithm to construct a simulated annealing bee colony algorithm (SABC). To explore the feasibility of SABC for spectral variable selection, SABC was applied to construct a partial least squares spectral quantitative detection model for corn stover cellulose and soil organic matter contents. The modeling performance was compared with that of the full spectrum, genetic algorithm, simulated annealing algorithm, and artificial bee colony algorithm; it was found that the model regression precision established by SABC was the best. For the cellulose and organic matter content detection models, the coefficients of determination of the validation set were 0.9433 and 0.9853, with the relative root mean squared error of 1.7901% and 0.8011%, and the residual prediction deviation of 4.1741 and 8.3931, respectively, which could meet the corresponding actual detection needs. SABC adopted the strategy of multiple runs to select the repeated wavelength variables, effectively reduced variable dimensions and model complexity, improved the prediction performance of the regression model, and provided a new approach for building a high‐performance near‐infrared spectroscopy (NIRS) quantitative calibration model.

Preparation strategy of molecularly imprinted polymers adsorbent based on multifunctional carrier for precise identification and enrichment of fenthion

Due to the existence of organophosphorus pesticides (OPs) in the environment and their potential hazards to ecosystems and human health, this study aimed to develop a novel adsorbent of OPs using multifunctional carriers and surface molecular imprinting technology (SMIT). SiO2-COOH served as a carrier, and molecularly imprinted polymers (MIPs) constituted a shell, creating a core-shell structured adsorbent. SMIT facilitated rapid and efficient binding between the target molecules and the imprinted cavities. The multifunctional SiO2-COOH enhanced the adsorbent's adsorption capacity, improved its mechanical stability, and strengthened the binding with the MIPs. The adsorbent demonstrated excellent specificity and reusability, achieving an adsorption capacity of 54.4 mg/g and the imprinting factor of 2.94. The relative recovery rate in actual sample detection ranged from 95.1% to 108.7%. This study provides a simple and effective method for detecting hazardous factors in environment protection and food safety fields, with significant scientific value and practical application potential.

Quantitative evaluation of corrugation severity by using instrumented wheelset

Accurate evaluation of corrugation severity is essential for timely rail maintenance to prevent potential hazards. This paper aims at the excitation characteristics of corrugation and presents a study on the evaluation method using wheel-rail vertical force (WRVF). First, a 3D wheel-rail dynamic model is established by the parameters of service vehicles and track in China’s high-speed railway, corrugated rail was finely modelled with the consideration of out-of-roundness and random track short irregularity. The model was validated with measured data come from instrumented wheelset in time and frequency domain, the stability and dynamic response of the model are studied numerically to explore the excitation characteristics of corrugation. Then, the variation of WRVF with depth and wavelength respectively was discussed, the mapping relationship between the 95th percentile maximum of the WRVF and the corrugation wavelength is revealed, the influences of the natural frequency and contact behavior of the wheel-rail system on the mapping relationship were analyzed. Finally, the corrugation severity index (Csi) is introduced to quantify the degree of rail damage. The applicability of Csi was tested on 65 sets of corrugated sections on high-speed railway, and the results of field measurement showed that the hit rate of Csi in evaluating the severity of corrugation is 93.8%, indicating that the proposed method has a good performance in actual detection. Thus, Csi can provide a scientific reference for the quantitative evaluation of corrugation severity and decision-making for rail grinding in high-speed railway.

Simultaneous determination of ethylene oxide, 2-chloroethanol and ethylene glycol residues in medical device products by gas chromatography

A gas chromatography-based method was developed for the simultaneous and rapid determination of ethylene oxide (EO), 2-chloroethanol (ECH), and ethylene glycol (EG) residues in medical devices after EO sterilization. A sample weighing 2.5 g was added with 5 mL of ethanol as the extraction medium, and the residual substances in the sample were extracted at 40 ℃ for 4 h. The samples were separated on a DB-WAX capillary column (30 m×0.53 mm×1.0 μm) and determined using a hydrogen flame ionization detector. The temperature was maintained at 40 ℃ for 5 min, increased to 120 ℃ at a rate of 40 ℃/min, held for 5 min, and then increased to 200 ℃ at a rate of 6 ℃/min, held for 2 min. The flow rate of the nitrogen gas was 3 mL/min. The split ratio was 5∶1. The inlet and detector temperatures were 200 and 300 ℃, respectively. The changes in the chromatographic peak areas over time (0.5-10 h) under different temperatures (20, 30, 40, and 50 ℃) were investigated, and the optimal extraction condition was determined to be 40 ℃ for 4 h. In the experiments, quantification was performed using an external standard method. EO, ECH, and EG exhibited good peak shapes and separation effects as well as good linearity within their respective ranges. The linear correlation coefficients for EO, ECH, and EG were greater than 0.99. The limits of detection (LODs) for EO, ECH, and EG were in the range of 0.10-0.40 μg/g, and the limits of quantification (LOQs) were in the range of 0.30-1.20 μg/g. The average recoveries under different spiked levels were in the range of 91.08%-116.08%, and the relative standard deviations (n=6) were in the range of 0.56%-8.45%. EO, ECH, and EG residues were found to exist at different levels in the medical devices tested. In particular, disposable infusion sets must be paid careful attention. ECH and EG were not detected in disposable sterile medical devices made of non-polyvinyl chloride materials, which may be due to the fact that the products themselves did not contain chloride ions, they were not exposed to chlorine-containing substances during their production, sterilization, storage, transportation, use, etc. This study established a method to detect EO residues in disposable medical devices, and has the advantages of simple operation, excellent specificity, accurate quantification, and good reproducibility. It can simultaneously detect three residual substances in medical devices while meeting the actual detection requirements for EO, ECH, and EG residues. The method can be used to scientifically and effectively evaluate the risk of EO residues in single-use medical devices sterilized with EO, and will be helpful for improving the quality of medical devices, ensuring the safety of device use, and providing a reference for regulatory supervision and testing.

Unmanned unexploded ordnance detection system based on magnetic method

Abstract Magnetic method is one of the main methods of UXO detection. This paper uses cesium optical pump magnetic detection module combined with UAV to build an unmanned UXO detection system, and introduces the detection principle and composition of the system. At the same time, the system is used to detect four kinds of UXO targets. The test results show that the system can detect ferromagnetic UXO targets, and can locate the position of UXO targets through magnetic anomaly images. Finally, the limit detection range of four kinds of targets is tested, and the limit detection range of 155 projectiles can reach 4.5m, which meets the actual detection requirements

Vital signs detection of moving targets using FMCW radar

Abstract Respiratory and heartbeat rates are crucial indicators for human health assessment. Compared to contact-based measurements, millimeter-wave radar detection of these vital signs avoids the discomfort caused by physical contact and better protects personal privacy, making it highly valuable for home health monitoring. The use of millimeter-wave radar for vital sign detection of the human body is mostly focused on targets in a stationary state at present. However, the human body may sway or even move during actual detection. This article proposes a non-contact vital sign detection method for moving targets. Compared with methods for detecting vital signs of stationary targets, detecting vital signs of moving targets requires determining the range bin where the targets are located continuously and extracting target phase information. The noise components such as movement and sway contained in the phase signal need to be removed. In this paper, moving target indication is used to remove static components, an adaptive range bin selection method is proposed to determine the range bin where the targets are located, and range bin selection fluctuation is smoothed using a moving average filter. The wavelet transform is used to decompose the phase signal, remove swaying noise based on autocorrelation function, and reconstruct the life signal for different scale factors. A bandpass filter is used to separate the respiratory and heartbeat signals, and a notch filter is designed to suppress respiratory harmonic signals. The experimental results show that the proposed method can separate vital signs signals from the phase signals of moving targets, achieving detection of respiration and heartbeat rate. The average accuracy of respiration and heartbeat rate detection is 94.7% and 95.5%, respectively.

Chiral microporous organic network/covalent organic framework/silica composites: Powerful and versatile chromatographic separation materials

Nowadays, covalent organic framework (COF) has shown great potential in chromatographic separation, and enriching the design of novel COF based stationary phases and broadening their application prospects remains of great significance. Microporous organic network (MON) is a novel type of porous material with large specific surface area and excellent stability connected by covalent bonding, which is extremely similar to COF. Especially, nano-sized MON has the characteristics of easy binding with silica matrix and superior chromatographic separation performance. In this work, the combination of MON and COF as the surface modification materials of silica gel was first explored. The conjugated network structure of MON and COF can improve the permeability of silica stationary phase, and the presence of abundant functional groups in COF and MON can enhance the separation ability for a series of aromatic compounds. Moreover, hydrophilic L-cysteine containing thiol group was cleverly introduced into MON/COF@SiO2via thiol-ene/yne click reactions to balance the hydrophilicity and hydrophobicity of stationary phase. The L-cysteine modified chiral MON/COF@SiO2 (CMON/CCOF@SiO2) was used for effective separation of various chiral/hydrophilic/hydrophobic analytes, and the CMON/CCOF@SiO2 was observed to exhibit superior separation ability to the CCOF@SiO2. Multi-mode chromatographic separation mechanisms were explored, demonstrating that multiple interactions were involved in the separation process. Finally, the CMON/CCOF@SiO2 was applied to detect the environmental endocrine disruptors in the water sample and pyridoxine in the tablet sample, respectively, indicating a great potential for application in actual sample detection.

Oxygen vacancy-enriched WO3 hierarchical tubes inherited from pine needle for the enhanced detection to ppb-level hydrazine at near room temperature

It is of great importance to develop low-temperature gas sensors for monitoring hydrazine (N2H4) with high toxicity and easy explosion. However, how to highly sense its ppb-level concentration remains challenging. For this purpose, biomorphic WO3 structure replicated by small-size nanoparticles was simply prepared though air calcinations of tungsten salt-immersed pine needle (PN) template. The mesoporous WO3-PN tubes with pore volume of 0.096 cc·g−1 had relatively large specific surface area (38 m2·g−1) for exposing more active sites, as well as rich oxygen vacancies (g = 2.005) and small band gap for promoting electron migration. With the assistance of W6+ Lewis acid catalytic sites, such unique multilevel structure facilitated the rapid transport and adsorption of basic N2H4 molecules, as well as their chemical reactions with high content of oxygen species (37.4 %) in sensing layer, thus first achieving the highly sensitive detection of ppb-level N2H4 gas at near room temperature. At 50 °C, WO3-PN sensor exhibited ultra-high response (S = 307), fast response time (Tres = 16 s) for 1 ppm N2H4, and low actual detection concentration (5 ppb). These key indicators were remarkably superior to reported semiconductor gas sensors. In addition, the enhanced low-temperature sensing mechanism of WO3-PN sensor was explored by means of analytical tests and DFT calculations.

Ultralow Dark Current and High‐Detectivity Infrared Phototransistors Enabled by Small‐Diameter Semiconducting Carbon Nanotubes

AbstractDue to their internal gain mechanism, emerging nanomaterial‐based infrared phototransistors show significant promise for highly sensitive detection; however, they usually suffer from high dark current (Idark) and thus high noise, which restricts the actual detection capability of the detector. Here, a semiconducting carbon nanotube (CNT) film‐based phototransistor is proposed with an ultralow Idark and a high response through the adoption of stacked ZnO/PbS colloidal quantum dot heterojunctions as the photogate to absorb the infrared photons and generate a photovoltage. Solution‐derived semiconducting CNTs with diameters ranging from 0.8 to 1.1 nm are utilized to create a network film that serves as the active channel of the transistor and provides an off‐state current as low as ≈50 fA; this enables an ultralow dark current (pA level) in the infrared phototransistor. By tuning the back‐gate bias, the synergistic modulation is demonstrated of the sensor response and electronic noise and achieve a high detectivity of 5.7 × 1013 Jones under an incident power density of 0.81 nW cm−2 and 1300 nm infrared radiation. These findings provide a promising approach for attaining weak light infrared detection based on nanomaterial‐based photodetectors.

Remote sensing image road network detection based on channel attention mechanism

Extracting and detecting road network consistency from high-resolution remote sensing images has been a hot and difficult problem in the computer vision. Although it has made significant progress, there is still a phenomenon of high training accuracy but unsatisfactory actual extraction and detection results. The attention mechanism is one of the efficient and practical mechanisms in deep learning. It improves the performance of deep learning by selectively focusing on a portion of all information while ignoring other visible information, while effectively utilizing computing resources. Numerous experiments have also confirmed that the attention mechanism is resource-saving and effective. Its plug and play feature brings great convenience to programmers. In order to provide better road network detection results and solve the above problem, this paper combines the channel attention mechanism with ResNet and proposes SE-ResNet and ECA-ResNet for remote sensing image road network detection, making networks extract and learn road network features and ignore some non-road network features. The experimental results show that on the Massachusetts roads (MR) and CHN6-CUG roads datasets, ECA-ResNet and SE-ResNet based on channel attention mechanism perform similar to LeNet7 and ResNet in terms of accuracy, loss, accuracy convergence, and loss convergence, and even increase a certain computational burden. However, their final road network detection results (including road network detection pixel count, precision, recall, accuracy, IOU, F1 score, and actual road network detection result) of the former are significantly better than those of the latter. The channel attention mechanism makes the deep neural network pay more attention to the extraction and learning of road network features, while ignoring the extraction and learning of some non-road network features, which improves the accuracy of containing road network samples and reduces the accuracy of not containing road network samples. Therefore, the performance of ECA-ResNet and SE-ResNet is similar to that of LeNet7 and ResNet in the accuracy, loss, accuracy convergence and loss convergence, but the final road network detection results of ECA-ResNet and SE-ResNet are significantly better than those of LeNet7 and ResNet. Therefore, the proposed ECA-ResNet and SE-ResNet have broad application prospects in road network detection, especially ECA-ResNet.

Analysis of data from the Russian AURA registry (real-world data registry on AlbUminuRia detection rate among patients with previously undiAgnosed chronic kidney disease)

Aim. To present data from the AURA Registry (real-world data registry on AlbUminuRia detection rate among patients with previously undiAgnosed chronic kidney disease). It is important to perform population studies both to study the occurrence of markers (albuminuria (AU), decreased glomerular filtration rate (GFR)) and the prevalence of chronic kidney disease (CKD), which will provide information on the actual detection rate of CKD and the related markers in territories included in the registry of research centers.Material and methods. The article presents the first data from the AURA registry. Recruitment was carried out from March 6, 2023 to January 23, 2024. Thirty-four research centers in various federal districts of the Russian Federation and 104 doctors took part in the recruitment. We included 4580 subjects over the age of 40 years who had no previously established diagnosis of CKD and did not have type 1 or type 2 diabetes. During recruitment, the researchers were guided by the AURA study protocol (Version 1.7/12-26-2022).Results. AU more than 20 mg/g was detected in 64,9% of cases. At the same time, AU is more common at GFR values that may correspond to stage 3A of CKD. The rarer occurrence of AU in those examined with GFR >60 ml/min/1,73 m2 may be explained by less severe renal damage at this CKD stage. The incidence of AU was significantly higher in men, older people, smokers, people with metabolic syndrome, hypertension (HTN), prediabetes and overweight. The occurrence of AU also increased as HTN grade increased. AU detection rate was associated with hypertriglyceridemia, a high blood level of C-reactive protein, which is an integrative marker of inflammation that negatively affects cardiovascular risk.Conclusion. The presented first data from the AURA registry demonstrated the high AU prevalence in people over 40 years of age. A high incidence of AU was typical for patients with HTN, coronary artery disease, atrial fibrillation, heart failure, and prediabetes. An association has been demonstrated between the high incidence of AU and male sex, age, overweight, hyperuricemia, dyslipidemia, and a number of other cardiovascular risk factors.

Forward Simulation and Complex Signal Analysis of Concrete Crack Depth Detection Using Tracer Electromagnetic Method

Cracks are the most typical faults of concrete structures, and their extension can lead to structural fracture. However, when cracks develop inside a structure, the most important depth information is invisible and difficult to measure. The tracer electromagnetic method is an effective technique for detecting the depth of concrete cracks, but since concrete is a multiphase stochastic composite material, its complex internal structure often interferes with the radar detection results, making the conventional radar interpretation technique difficult. In this study, the detection results for concrete crack depth detection based on the tracer electromagnetic method were comprehensively analyzed by combining the complex signal analysis technique, using transient information such as amplitude, phase, and frequency in order to improve the precision and accuracy of radar signal interpretation. In this study, a numerical model was established to determine whether typical cracks such as vertical cracks and diagonal cracks contain indicators or not, and the ground-penetrating radar forward simulation software was used to perform forward simulation of the numerical model and analyze the forward results. The complex signal analysis technique was used to obtain the response characteristics of typical cracks when they did and did not contain the indicator, and the complex signal was finally analyzed by combining it with the actual crack depth detection data. The results show that the tracer electromagnetic method can significantly improve the crack bottom’s reflection ability for radar signals, and when the crack bottom contains an indicator, the amplitude of the reflected signal at the bottom of the crack is enhanced, the phase is reversed, and the frequency is reduced. The distribution of the crack morphology and the location of the crack bottom can be analyzed more conveniently by using the complex signal analysis technique.

Intelligent textile information collection and early warning system with TCN-GRU

With the tide of Industry 4.0, the information transformation of the Internet of Things in the textile industry is in full swing. In order to reduce the failure rate of textile machines and improve the economic benefits of textile mills, an intelligent textile information collection and early warning system based on TCN-GRU is designed in this article. The system consists of three parts: loom operation data acquisition, data processing and abnormal early warning. First of all, the system designs a wireless equipment information acquisition device according to the requirements of collecting and reporting the main work information such as weaving machine parameters and rotational speed. Then the original collected data are preprocessed and input to the TCN-GRU fusion network model for training to build the loom working current prediction model. Through the comparison of the similarity between the actual detection value and the predicted value of the model output, the early warning threshold is determined by calculating the sliding residual combined with the window statistics method, and the abnormal trend of loom operation is captured before the fault actually occurs. In order to achieve early warning of loom faults. The actual test results show that the system is effective in the loom work information collection and fault early warning, and is significant to improve the efficiency of textile production.

Stereoselective Bioactivity and Action Mechanism of the Fungicide Isopyrazam.

Understanding the stereoselective bioactivity of chiral pesticides is crucial for accurately evaluating their effectiveness and optimizing their use. Isopyrazam, a widely used chiral SDHI fungicide, has been studied for its antifungal activity only at the racemic level. Therefore, to clarify the highly bioactive isomers, the stereoselective bioactivity of isopyrazam isomers against four typical phytopathogens was studied for the first time. The bioactivity ranking of the isomers was trans-1S,4R,9R-(+)-isopyrazam > cis-1R,4S,9R-(+)-isopyrazam > trans-1R,4S,9S-(-)-isopyrazam > cis-1S,4R,9S-(-)-isopyrazam. SDH activity was assessed by molecular docking simulation and actual detection to confirm the reasons for stereoselective bioactivity. The results suggest that the stereoselective bioactivity of isopyrazam is largely dependent on the differential binding ability of each isomer to the SDH ubiquitin-binding site, located within a cavity formed by the iron-sulfur subunit, the cytochrome b560 subunit, and the cytochrome b small subunit. Moreover, to reveal the molecular mechanism of isopyrazam stereoselectively affecting mycelial growth, the contents of succinic acid, fumaric acid, and ATP were measured. Furthermore, by measuring exospore polysaccharides and oxalic acid content, it was determined that 1S,4R,9R-(+)- and 1R,4S,9R-(+)-isopyrazam more strongly inhibited the ability of Sclerotinia sclerotiorum to infect plants. The findings provided essential data for the development of high-efficiency isopyrazam fungicides and offered a methodological reference for analyzing the enantioselective activity mechanism of SDHI fungicides.

Cold-hot Janus electrochemical aptamer-based sensor for calibration-free determination of biomolecules

Real-time, high-frequency measurements of pharmaceuticals, metabolites, exogenous antigens, and other biomolecules in biological samples can provide critical information for health management and clinical diagnosis. Electrochemical aptamer-based (EAB) sensor is a promising analytical technique capable of achieving these goals. However, the issues of insufficient sensitivity, frequent calibration and lack of adapted portable electrochemical device limit its practical application in immediate detection. In response we have fabricated an on-chip-integrated, cold-hot Janus EAB (J-EAB) sensor based on the thermoelectric coolers (TECs). Attributed to the Peltier effect, the enhanced/suppressed current response can be generated simultaneously on cold/hot sides of the J-EAB sensor. The ratio of the current responses on the cold and hot sides was used as the detection signal, enabling rapid on-site, calibration-free determination of small molecules (procaine) as well as macromolecules (SARS-CoV-2 spike protein) in single step, with detection limits of 1 μM and 10 nM, respectively. We have further demonstrated that the J-EAB sensor is effective in improving the ease and usability of the actual detection process, and is expected to provide a universal, low-cost, fast and easy potential analytical tool for other clinically important biomarkers, drugs or pharmaceutical small molecules.

Porphyrin complex-based reversible fluorescent film sensor for differentiating and detecting sarin mimics vapor

This study presents a TAPP-based fluorescent sensor for diethylchlorophosphate (DCP), a surrogate for sarin, addressing the critical challenge of detecting nerve agents. The sensor can form a reversible weak bond interaction with the PO group in sarin by using the reversible weak bond complexation mechanism in the porphyrin cavity, which is the key to realize the reversible function of the sensor. In this study, we constructed a fluorescence probe that combines the advantages of physical process and chemical reaction process sensing, which not only ensures selectivity, but also realizes continuous and reversible real-time detection of DCP. The sensor demonstrates excellent photochemical stability and sensitivity, with an actual detection limit of 10 ppt and a theoretical detection limit of 1 ppt. In addition, it can differentiate challenging interferents like HCl through response kinetics, offering a practical, cost-effective, and environmentally sustainable solution for nerve agent detection in high-risk environments.

Design and Implementation of Advance Real Time Parking System

Effective parking facility management is critical to the functioning of urban infrastructure, but current systems frequently struggle to reliably identify occupants and neutralize possible threats. In this paper, we suggest a brand-new parking management strategy. The title is "Advanced Real-Time Parking System" . A strong parking management system with machine learning-based threat detection is presented in this paper. Three specialized models were created using YOLO v8 and trained on carefully selected datasets of 800, 800, and 600 images that included license plates, parking occupancy, fires, and explosions. By taking advantage of YOLO v8's flexibility, these models were designed with high detection accuracy in mind. The models underwent thorough training and validation before being smoothly incorporated into a single system that provided extensive surveillance capabilities. The evaluation showed a remarkable accuracy of 92%, demonstrating the effectiveness of the system in actual threat detection situations. This study highlights the potential of YOLO v8-based solutions to improve parking environments' safety and security, demonstrating their adaptability in tackling a range of security issues

Centerline measurement of rotary kilns based on the free station method

Abstract The rotary kiln is an important production equipment in the building materials and metallurgy industry, and its operating conditions, safety, and efficiency largely determine the economic benefits of its users and the safety of workers on site. At present, the testing methods for each rotary kiln part are relatively mature and can be used to realize accurate measurements in a dynamic environment. However, the main means of measurement is limited by the site conditions, and the actual detection speed is slow; the preparation work is cumbersome and will be subject to the measurement of the site obstacles and other environmental factors constraints. In this paper, we propose and design an optimized rotary kiln centerline measurement method using the free station method and verify its feasibility with respect to the optimization of the centerline offset, which is an important measurement item in rotary kiln measurement.

Abnormal CSR Performance and Auditor Litigation Risk

Recent studies provide evidence that corporate social responsibility (CSR) conscious firms are less likely to engage in high-profile corporate misconduct and be subject to SEC investigations, suggesting that auditor litigation risk may be lower for better CSR performers. However, we argue that the association between CSR performance and auditor litigation risk may not be linear for two reasons. First, for a given level of audit risk, the lower the perceived risk of material misstatement, the higher the actual detection risk. Second, ceteris paribus, an incorrectly assessed low audit risk acceptable for abnormally high CSR performance would also increase auditor’s actual detection risk. Using a matched sample analysis for the period of 2004 to 2013, this study finds that the propensity for auditors to be sued first decreases as CSR performance improves, but then increases with excessively high abnormal CSR performance. Further analyses indicate that the convexity of CSR performance on auditor detection risk arises from the inherent risk channel (client business risk, financial misreporting, and earnings management), but not from the control risk channel (internal control material weaknesses). This study provides new insights on the signaling value of CSR performance on an auditor’s litigation risk.

Selective and sensitive detection of bilirubin by Fe3+-mediated porphyrin red fluorescence "on-off-on" sensing platform

Bilirubin (BR) serves as a crucial clinical marker for jaundice and liver dysfunction, making its quantitative detection amidst numerous biomolecular interferences of paramount importance. In this work, 5, 10, 15, 20-tetrakis(4-methoxycarbonylphenyl)porphyrin (TPPCOOMe) was utilized as the fluorophore, and Fe3+ was used as the mediator to achieve quantitative detection of BR in human serum through the "on-off-on" fluorescence signal change. The non-fluorescent metalloporphyrin complex TPPCOOMe@Fe3+ generated by the interaction between Fe3+ and TPPCOOMe served as the fluorescence sensing platform. With the addition of BR, the good binding ability between BR and Fe3+ released TPPCOOMe into the sensing medium and restored red fluorescence, while creating conditions for the redox reaction between BR and Fe3+. The fluorescence probe exhibited a good linear relationship with BR in the concentration range of 0–8 μM, the detection limit was as low as 14 nM and the response time was 2 min. Furthermore, a test paper strip-based sensor coupled with a smartphone color-read App was employed to test the fluorescence color changes of TPPCOOMe@Fe3+ for BR sensing, and this intelligent sensing platform had been successfully achieved for the actual detection of BR in human serum without the influence of other metal ions and important biomolecules.