Complex Applications Research Articles

Coordination Complexes of Cobalt with Pyrazole-Based Ligands and Potential Applications

Transition metals are one of the central aspects of modern coordination chemistry research. In addition to being well-studied, cobalt is a unique transition metal due to its presence in vitamin B12. Pyrazole-based structures are common in nature and organic synthesis. Over the past decade, our research group has focused on synthesizing and characterizing novel cobalt, nickel, and copper organometallic complexes. To date, we have reported three cobalt complexes, five nickel complexes and one copper complex with pyrazole-derived ligands. Based on the current scientific data, we are optimistic about potential applications of our coordination complexes with cobalt and pyrazole-based ligands. In this work we review applications of cobalt complexes with pyrazole-based ligands described in recent literature to explore possible applications of compounds synthesized and characterized by our research group.

Dynamic Time-Programming Circuit for Encoding Information, Programming Dissipative Systems, and Delaying Release of Cargo.

Living systems have some of the most sophisticated reaction circuits in the world, realizing many incredibly complex functions through a variety of simple molecular reactions, in which the most notable feature that distinguishes them from artificial molecular reaction networks is the precise control of reaction times and programmable expression. Here, we exploit the hydrolysis-directed nature of λ exonuclease and the programmed responses of the dynamic nanotechnology of nucleic acids to construct a simple, complete, and powerful set of temporally programmed circuits. This system can arbitrarily regulate the degradation rate of the blocker, thereby delaying the nucleic acid chain substitution reaction with less signal leakage. In addition, the powerful dynamic reaction network of nucleic acids enabled us to control the programmed execution of a wide range of reactions in different fields. We have developed a simple strategy to introduce precise control of the time dimension into nucleic acid reaction circuits, which greatly enriches the functionality and applicability of the reaction programs, which can be easily used as timers, compilers, converters, etc. The simplicity, precision, stability, and versatility of such dynamic temporal programming circuits greatly expand the potential of artificial molecular reaction networks for more complex practical applications in biochemistry and molecular biology.

Optimal Index Selection using Optimized Deep Deterministic Policy Gradient for NoSQL Database

As big data technology has developed, so have complex applications that require increasing resources. The need for high-performance reading and writing increases the usage of NoSQL (MongoDB) databases. As the number of queries in a given amount of time negatively affects the performance of the database, an automated index selection strategy should be used to improve the database performance. This study proposes an Optimized Deep Deterministic Policy Gradient (ODDPG) to select the optimal index. The Adaptive Crocodile Optimization Algorithm (ACOA) is used to improve DDPG's decision-making performance. The ACOA algorithm is used to receive the best action sequences of a DQN. Simulation results showed that the proposed method achieved better results than the existing DDPG model by 2.3% in Average Time Of Query (ATQ) executed, 10% in Query Per Hour (QPH), and 11% in throughput.

Modulating the assembly of starch-lecithin inclusion complexes and its underlying mechanism for controlling starch digestibility under the dense system

Starch-lipid inclusion complexes were used to regulate starch digestibility by changing the binding affinity of digestive enzymes such as α-amylase and α-glucosidase. However, when above a critical aggregation concentration (CAC) of starch and lipid molecules, they tended to self-assemble into double helices or normal micelles respectively, rather than interacting with each other to form starch-lipid complexes. Thus, how to enhance the complexation efficiency under a dense system is the key approach for the improvement of starch bioaccessibility and nutritional function. Herein, based on the dimethyl sulfoxide (DMSO) reverse solvent method, the effect of water/DMSO ratios and starch chain structures on the interaction and assembly behaviors between starch and lecithin molecules in high concentrations were systematically investigated. The results revealed that water/DMSO in a ratio of 1.5:1 promoted the interactions between cavities of starch helices and long alkyl chains of lecithin molecules, with higher level of complexed lecithin content, relative crystallinity (RC), enthalpy (ΔH) (Tp＞100°C), ordered-aggregation structures and resistant starch (RS) content. In this kind of solvent, starch samples with higher content of amylose and longer chains (degree of polymerization (DP) of B2 chains and B3+ chains) is advantageous to the formation of VII-type inclusion starch-lecithin complexes, with a rise in RS from 14.17% to 43.64%. It provided an effective method to modulate starch digestibility under the dense system of starch and lecithin via modulating the water/DMSO ratios and starch fine structures and lay the foundation for the large-scale preparation and application of starch-lecithin complexes.

Identification of Marijuana Using Silver-Phosphine Ion Complexation and a Semi-Quantitative 1% Decision-Point Assay

Due to the strict federal regulations concerning ∆9-tetrahydrocannabinol (∆9-THC) content for the differentiation of hemp and marijuana outlined in the 2018 Farm Bill, the ability to quickly and reliably differentiate cannabis as marijuana or hemp is crucial within both the seized drug community and hemp industry. This study provides a novel direct mass spectrometry approach for the identification of marijuana using Ag-phosphine ion complexation and a semi-quantitative 1% decision-point assay. The main constituents of hemp and marijuana, cannabidiol (CBD) and ∆9-THC, are isomeric and cannot be differentiated using soft ionization mass spectrometry techniques alone. However, the incorporation of [Ag(PPh3)(OTf)]2 enables the formation of unique MS/MS product ions at m/z 421/423, m/z 353/355, and m/z 231 for CBD due to differences in binding affinity, allowing CBD to be differentiated from ∆9-THC. Likewise, the isomeric cannabinoid precursors ∆9-tetrahydrocannabinolic acid (∆9-THCA) and cannabidiolic acid (CBDA) can be differentiated due to the formation of unique MS/MS product ions at m/z 465/467 and m/z 379/381, which are specific to CBDA. Eight additional cannabinoids were also characterized utilizing the proposed Ag-phosphine ion complexation approach. To reduce the potential for false positives, a more conservative 1% decision-point assay was developed by fortifying 1% weight-by-volume ∆9-THC-d9 into methanolic extracts of authentic cannabis plant material, followed by assessing if the total ∆9-THC content (containing ∆9-THC and ∆9-THCA) was greater than or less than the intensity of the spiked internal standard. When the developed approach was applied to 20 methanolic extracts of authentic cannabis samples with known cannabinoid compositions, 90% of the samples were correctly identified as marijuana or not marijuana based on the 1% administrative threshold for the total ∆9-THC content. The two lone misidentifications were due to the presence of elevated ∆8-THC, which highlights the necessity to explore more selective ligands in the future. This study provides the first application of Ag-ligand ion complexation for the identification of marijuana based on a semi-quantitative 1% decision-point assay, which shows great promise as an alternative method for the rapid identification of marijuana.

Ancillary ligand modulation effect on crystallization, metal aquation, fluorescence, lipophilicity, electrochemistry and anticancer activities of Pt(II) complexes

The potential applications of Pt complexes depend on the coordinating auxiliary ligand(s) and ancillary/leaving ligand(s) attached to the metal. Pt(II) complexes bearing ONS-donor salicylaldimine auxiliary ligand with general formula LPtX, (L = ONS-donor salicylaldimine ligand) with functionalized ancillary ligand X (X = Cl, Br, I and OAc) (C1a-C4a and C1b-C4b) were synthesized using a well-established method. All these complexes were characterized in solution and in solid state using multiple analytical techniques. The effect of ancillary ligand modification was studied on multiple features including crystallization, metal aquation, fluorescence, lipophilicity, electrochemistry and anticancer activities of these complexes. Depending on the ancillary ligands, from single crystal X-ray analysis different structural features in solid state or arrangement in crystal packing were observed. The ancillary ligand (Cl, Br, I, and OAc) hydration in DMSO‑d6/D2O mixture to form cationic [L-Pt-H2O]+ was analyzed by time dependent 1H NMR spectroscopy. The ancillary ligands also affected fluorescence of these complexes, a trend of decreasing emission with increasing atomic mass of the attached atom as ancillary ligand was observed. Lipophilicity (log P) of “a” series was measured as reference series and we found the order depending on the ancillary ligand in each complex as I > Br > OAc > Cl, showing C3a lipophilicity was the highest and C1a was the lowest. Finally, these complexes were checked for their anticancer effect and the IC50 was calculated using MTT assay. These complexes showed better anticancer effect as compared to cisplatin. The anticancer effect was not linear with the previously discussed properties showing the anticancer activity may depend on the sum of multiple structural parameters and also depend on the nature of cancer cells, so it was not conclusive using a single set of parameters to comply with the other.

COMPLEX METHODOLOGY OF MANAGING THE DEVELOPMENT OF THE CHARGING STATION NETWORK

The paper examines the problem of managing the operation and development of the electric vehicle charging infrastructure. Enterprises providing electric vehicle charging services together with their operating environment form a complex hierarchical system. The multi-criteria task of adaptive control of such a system must be considered in different aspects depending on the goals of control at different levels of the system hierarchy. The formation of scientifically based typical and promising charging infrastructure solutions requires the complex application of optimization models and algorithms, taking into account the coverage of the territory by the system of charging stations, the scale of the enterprise that provides services to the customers of the system, as well as the interests and needs of all target groups affected by the system. Therefore, the purpose of this study is to form a comprehensive method of system management of the development of charging infrastructure for electric vehicles, which includes the specified models and algorithms. To solve the set goal, a set of target indicators was formed for various variants of the hierarchical structure of the system. The target indicators are based on models of energy efficiency of electric vehicles, models of the theory of mass service systems and models of car service efficiency. A morphological model of the system containing four functional elements was built: enterprise, electric vehicle, transport flow and environment. An algorithm has been developed that implements the method of system management of the charging infrastructure and takes into account the interests of three target groups: customers, entrepreneurs and the social environment. The proposed methodology can be used in the algorithms of smart management systems of the network of charging stations and modules of intelligent transport systems to evaluate the impact of the charging infrastructure on the performance indicators of road transport.

Effectiveness of preformed physical factors in the correction of dry eye syndrome after phacoemulsification: a randomized trial

Introduction. Currently, modern high-tech methods of small incision cataract surgery are not always immune to the development of iatrogenic «dry eye» syndrome. Currently, one of the common complications of the anterior segment of the eye after small incision cataract surgery is the development of iatrogenic dry eye syndrome, which leads to a decrease in the quality of medical and social rehabilitation of operated patients. Aim. Development and evaluation of the effectiveness of the complex use of preformed physical factors in the correction of «dry eye» syndrome in patients after phacoemulsification of cataract. Materials and methods. The open randomized controlled clinical trial involved 90 patients (90 eyes) aged from 58 to 75 years, who were diagnosed with «dry eye» syndrome (DES) on the 1st day after phacoemulsification (PE) of cataract. Patients, depending on the treatment, were divided into three groups of 30 people (30 eyes).In the control group, patients received standard tear replacement therapy (RT) with Stillavit 4 times a day for 7 days,in the comparison group — in addition to ST 7 procedures of low-frequency magnetic therapy in the orbital area and in the main group — TRT was expanded by the complex application of low-frequency magnetic therapy to the orbital area and medicinal electrophoresis (EP) of the Taufon using the orbital-occipital technique for 7 daily procedures performed daily. Evaluation of parameters of ocular xerosis included: tear film rupture time, total tear production, and ocular surface disease index according to the OSDI questionnaire. The duration of the study was 6 months. Results and discussion. Complete regression of the xerotic process was observed immediately after treatment in 76,7 % (23) of patients in the main group, in 40 % (12) patients in the comparison group and 20 % (6) of patients in the control group. After 6 months after surgery — in 96.7 % (29) of patients in the main group, in 83,3 % (25) of patients in the comparison group and 70 % (21) of patients in the control group. Conclusion. The developed comprehensive program for the treatment of postoperative «dry eye» syndrome, which includes low-frequency magnetic therapy and medicinal electrophoresis Taufon against the background of tear replacement therapy, helps to significantly improve the clinical outcome of treatment, reduce the recovery time of the ocular surface and improve the quality of life of patients.

Skin-inspired bimodal pressure sensor for static and dynamic intelligent interactive perception system

With the rapid development of flexible pressure sensors, it is difficult for single-function devices to meet the demands of complex intelligent interactive scenarios. In this paper, a skin-inspired single electrode triboelectric nanogenerator (S-TENG)-ionic capacitive pressure sensor (IPS) bimodal pressure sensor with a top-down stacked structure is developed. The designed sensor not only exhibits high sensitivity, wide pressure detection range, fast response/recovery time, and long-term durability, but also detects external dynamic and static mechanical responses. Based on these superiorities, the designed sensor has been successfully applied in three practical intelligent interactive scenarios, including a music player system using IPS perception array, an intelligent handwriting perception system using S-TENG, and an intelligent material and shape perception system constructed by a bimodal pressure perception array. Expectably, the proposed bimodal pressure sensor can realize intelligent interactive perception in complex application scenarios, which provides a new paradigm for next generation of flexible pressure sensors.

Revisiting the Viable System Model as an emancipatory systems approach

AbstractThis paper acknowledges M.J. Jackson's contributions to the development of systems thinking and particularly to organisational cybernetics. It also reviews his criticisms of Stafford Beer's Viable System Model (VSM) as a ‘unitary, functionalist’ systemic approach, unable to deal with individual, social and political issues, and of Team Syntegrity (TS) as a ‘simple, and somewhere in the middle between pluralist and coercive’, approach. It argues that whilst Jackson has evolved his view of VSM and TS over the last few decades and has become more supportive of them, Beer and his followers have addressed several of his original criticisms. By referring to recent VSM theoretical and methodological developments, and providing examples of VSM applications in complex, politicised multi‐stakeholder's environments, it illustrates how the VSM deals with individual, social and political complexities in practice. It then suggests that, to strengthen Jackson's legacy on systems research and multimethodology, it would be useful to develop a ‘critical empathetic approach’—not only still critical but also supportive and creative—to nourish the development of a more robust trans‐disciplinary systems research agenda.

A deductive approach of 3D complex fault modeling and application

A deductive approach of 3D complex fault modeling and application

An Investigation Into the Perceived Effectiveness of GitHub Repositories to Teach Programming

The utilization of Git for version control and collaboration has long been the staple of the software development industry. To ensure that Computer Science students are industry-ready, academics adopt the use of platforms like GitHub in their teaching in different ways to expose students to these tools. In earlier studies, GitHub has been integrated for the purposes of student management, collection of assessments and facilitation of collaborative programming exercises. This paper explores the use of lecturer-provided GitHub repositories as a tool to support the teaching of core aspects of a programming curriculum. The pedagogical approach constructivism required students to learn core concepts by following repositories to build simpler applications. Thereafter, students are assigned more complex applications to develop. Students were required to work in pairs and submit their repositories for evaluation. This study adopted a case study approach supported by a combination of a student survey and a focus group discussion among lecturers and the teaching assistant involved in the course. Key findings included that integrating GitHub repositories presents several opportunities for collaboration, knowledge enhancement, self-directed learning, and reduced stress. However, this approach also resulted in team and technical challenges becoming prevalent, with students finding their own ways to overcome these challenges. Additionally, lecturers observed varied levels of engagement, reliance on lecturer-provided code, and occasional contextual challenges related to Internet connectivity. Lecturer-provided repositories can be enhanced in terms of structure, the inclusion of more comments explaining code, and through the inclusion of images and video. Recommendations are provided for academics who are looking to integrate GitHub into their teaching practice as well as suggestions for future work.

An Innovative Nonlinear Bounded Component Analysis Algorithm Based on Multivariate Nonlinear Chirp Mode Decomposition

In complex and diverse practical application scenarios, the challenge of blind source separation under underdetermined and nonlinear conditions is often encountered. To address this challenge, this paper proposes an innovative underdetermined nonlinear bounded component analysis method. This method first employs Multivariate Nonlinear Chirp Mode Decomposition (MNCMD) to process and reconstruct the observed signals, transforming the original underdetermined problem into a positive definite problem. Subsequently, Gaussianization techniques are introduced as a means of nonlinear compensation, successfully converting the nonlinear model into an analyzable linear model, laying a solid foundation for subsequent signal separation. Finally, the signal is separated by the bounded component analysis method, which does not require the source signals to be independent of each other. To validate the effectiveness and superiority of the proposed algorithm, detailed simulation experiments were designed and implemented. The experimental results demonstrate that compared to traditional underdetermined blind source separation algorithms, the algorithm presented in this paper exhibits significant advantages in terms of universality, convergence speed, separation accuracy, and robustness. Furthermore, this paper successfully applies the algorithm to the blind extraction of fetal electrocardiogram (FECG) signals from real datasets. The experimental results show that the algorithm can rapidly and effectively extract clearer and more accurate FECG signals, demonstrating its great potential and value in practical applications.

Sculpting Mechanical Properties of Hydrogels by Patterning Seamlessly Interlocked Stiff Skeleton

AbstractFunctional soft materials, especially hydrogels have been widely developed to achieve various soft structures and machines. However, synthetic hydrogels commonly show formula‐dependent mechanical properties to fulfill the requirements of mechanical elasticity, stiffness, toughness, and tearing‐resistance for adapting to complex application scenario. Inspired by heterostructures and materials found in nature such as leaves and insect wings, a sequential photopolymerization process combined with site‐selective patterning exposure is reported to prepare programmable hydrogels with locally heterogeneous reinforcement skeletons, i.e., interpenetrating double networks. The heterogeneous interface between soft matrices and stiff skeletons is seamlessly interlocked through strong multiple hydrogen bonds induced by phase transition. By harnessing the size, shape, and distribution of the patterned stiff skeletons, a wide range of mechanical properties of hydrogels including modulus (0.32–5.92 MPa), toughness (0.15–18 kJ m−2), dissipated energy (1–100 kJ m−3), impact resistance, and mechanical anisotropy can be readily sculpted within one material system without needing design and optimization of the complex and elusive material formulation on demand. It is believed that this simple yet powerful method relying on heterogenous patterning would guide the development of functional hydrogel materials with programmable mechanical properties toward potential engineering applications, such as damping and flexible circuits.

Orientation-Selective Memory Switching in Quasi-1D NbSe3 Neuromorphic Device for Omnibearing Motion Detection.

Intelligent neuromorphic hardware holds considerable promise in addressing the growing demand for massive real-time data processing in edge computing. Resistive switching materials with intrinsic anisotropy and a compact design of non-volatile memory devices with the capability of handling spatiotemporally reconstructed data is crucial to perform sophisticated tasks in complex application scenarios. In this study, an anisotropic resistive switching cell with a planar configuration based on lithiated NbSe3 nanosheets is demonstrated. Benefitting from the highly aligned diffusive channel associated with a quasi-1D van der Waals structure, the memristor patterned along NbSe3 atomic chains presents robust memory switching behavior with superior stability, particularly the low set/reset voltages (0.4V/-0.36V) and extremely small standard deviation (0.041V/0.051V), among the best compared to state-of-the-art devices. More importantly, unlike traditional resistive switching materials, anisotropic ion migration in NbSe3 crystals leads to a high orientation selectivity in the conductance update. Custom-designed neuromorphic hardware contributes to the implementation of omnibearing motion recognition for automatic pilot applications, yielding a high accuracy of 95.9% considering variations. This article presents a new strategy based on NbSe3 crystals to develop a neuromorphic computing system with intelligent application scenarios.

Nanoengineering of Phosphate/Phosphonate Drugs via Competitive Replacement with Metal‐Phenolic Networks to Overcome Breast Tumor with Lung and Bone Metastasis

AbstractPhosphate and phosphonate drugs are vital in building organisms, regulating physiological processes, and exhibiting diverse biological activities, including antiviral, antibacterial, antineoplastic, and enzyme‐inhibitory effects. However, their therapeutic potential is limited by the lack of advanced nanoengineering technologies. Herein, a competitive coordination strategy for nanoengineering phosphate/phosphonate drugs is introduced. By leveraging the difference in coordination capabilities between polyphenols and phosphates/phosphonates with metal ions, various phosphate/phosphonate‐based nanodrugs using metal‐phenolic networks (MPNs) as templates and phosphate/phosphonate drugs as competitive agents are constructed. The dynamic nature of these coordination bonds imparts stimuli‐responsiveness to the nanodrugs, allowing for targeted release and therapy. As a proof of concept, Fe3+ and galangin are used to form the MPN template, zoledronic acid and cGAMP as competitive agents, and DOX as the loaded drug to construct DOX@Fe‐galangin@Fe‐zoledronic acid‐cGAMP nanodrugs. The results demonstrate that, by triggering pyroptosis and activating the cGAS‐STING pathway, the nanodrugs exhibit potent cytotoxicity and accurate selectivity in eradicating orthotopic breast tumors, and activate an antitumor immune response against lung and bone metastases. Because the competitive coordination strategy is applicable to a variety of phosphate/phosphonate agents, it holds significant potential for enhancing the clinical efficacy of phosphate/phosphonate drugs and advancing nanodrug development for complex therapeutic applications.

Dynamically Balancing Load with Overload Control for Microservices

The microservices architecture simplifies application development by breaking monolithic applications into manageable microservices. However, this distributed microservice “service mesh” leads to new challenges due to the more complex application topology. Particularly, each service component scales up and down independently creating load imbalance problems on shared backend services accessed by multiple components. Traditional load balancing algorithms do not port over well to a distributed microservice architecture where load balancers are deployed client-side. In this article, we propose a self-managing load balancing system, BLOC, which provides consistent response times to users without using a centralized metadata store or explicit messaging between nodes. BLOC uses overload control approaches to provide feedback to the load balancers. We show that this performs significantly better in solving the incast problem in microservice architectures. A critical component of BLOC is the dynamic capacity estimation algorithm. We show that a well-tuned capacity estimate can outperform even join-the-shortest-queue, a nearly optimal algorithm, while a reasonable dynamic estimate still outperforms Least Connection, a distributed implementation of join-the-shortest-queue. Evaluating this framework, we found that BLOC improves the response time distribution range, between the 10th and 90th percentiles, by 2 –4 times and the tail, 99th percentile, latency by 2 times.

Tailoring of Novel Ru (III) and Cr (III) Salen Complexes as Catalysts for a Sustainable and Green Synthesis of Dihydro‐tetrazolo [1,5‐a] thiazolo [4,5‐d] pyrimidin‐6‐yl morpholine: Experimental and Theoretical Approaches

ABSTRACTTwo novel Cr (III) and Ru (III) salen complexes based on {3,4‐Bis‐[(5‐chloro‐2‐hydroxy‐benzylidene)‐amino]‐phenyl}‐phenyl‐methanone ligand (CSAB) were synthesized. The complexes were characterized using various spectral and analytical methods. The catalytic performance of the CSAB complexes was investigated via a four‐component condensation reaction involving aromatic aldehydes, rhodamine, morpholine, and 5‐aminotetrazole under mild, environmentally friendly conditions. Different Lewis acids, bases, ionic liquid catalysts, solvents, and catalyst amounts were assessed to optimize the reaction parameters. Both catalyst systems demonstrated robust catalytic activity under strictly managed conditions, with the heterogeneous catalyst CSAB‐Ru showing superior efficacy compared to the homogeneous CSAB‐Cr catalyst. The study confirmed the catalytic capabilities of both complexes and evaluated their recyclability and reusability. The heterogeneous catalyst (CSAB‐Ru) could be reused seven times, whereas the homogeneous catalyst (CSAB‐Cr) could be recycled four times. Both complexes demonstrated strong catalytic activity and selectivity, resulting in high product yields. The study provides insights into the synthetic applications of novel CSAB complexes, highlighting their potential in organic transformations. It emphasizes their ease of use, safety, stability, component availability, quick reaction times, and high yields, making them promising for future industrial applications.

Secure Search of Smart Home Data Based on Access Control Encryption

Abstract: In recent years, the increasing variety of smart home devices, such as smart locks, surveillance cameras, and various sensors, has led to a significant rise in related data. To facilitate the sharing of smart home data, manufacturers store these data on the Internet of Things (IoT). However, since IoT servers are not fully trustworthy and the data often contain sensitive commercial information, any leakage could result in a commercial crisis for manufacturers. To address security concerns, manufacturers encrypt the data before storing them on the IoT. A challenge arises: how can users search for target data in encrypted form? This paper proposes a new search encryption scheme for smart home data, addressing the limitations of existing attribute-based encryption (ABE) searchable encryption schemes. The proposed scheme integrates access control trees and bilinear mapping technology, supporting multiple access policies including AND gates, OR gates, and threshold gates. Experimental results demonstrate a comprehensive analysis of the attribute-based searchable encryption protocol under a multi-authority architecture, covering four dimensions: correctness, security, complexity, and real-world application scenarios. In specific scenarios, when a data user, out of privacy concerns, is unwilling to reveal all attribute information to a single authority during a query for shared datathus avoiding identity disclosureor when the users identity information is managed by multiple independent authorities, this protocol proves highly effective. It ensures smooth data sharing while maintaining data security for both data owners and users, fully safeguarding data privacy and shareability.

Engineered surface design of recognition site-ordered biomimetic sensor for efficient detection of circulating tumor cells

The oriented assembly of cell membrane coating plays an important role in advancing the application of this strategy in biomedical fields, particularly in detecting circulating tumor cells (CTCs). Unfortunately, there is a formidable challenge in achieving effective membrane orientation during the coating process owing to the asymmetric properties of cell membranes. Herein, magnetic vesicles released by tumor cells were designed to break down these barriers in the same way that microvesicles are actively secreted from cells, which completely inherited the orientation and characteristics of the parent cell membranes, exhibiting a satisfactory self-targeting ability for homologous cells. To cope with the complex application environment, spatially ordered aptamers were integrated into magnetic vesicles and combined with catalytic hairpin assembly (CHA) technology to construct a recognition site-ordered biomimetic sensor for high-performance detection of CTCs. In this strategy, the ordered arrangement of membrane proteins and aptamers markedly improved capture efficiency of traditional biomimetic strategy for CTCs. Additionally, CHA-induced fluorescence and colorimetric analysis ensured the detection accuracy and sensitivity, with a linear range of 0 to 104 cells mL−1 and a low detection limit of 3 cells mL−1 for fluorometry and 6 cells mL−1 for colorimetry. Overall, the biomimetic sensor offered broader possibilities for detecting rare CTCs and provided new insight to expand the application of cell membrane biomimetic strategies in biomedicine.