Hybrid Structure Research Articles

Enhanced glucose sensing via novel Ni-MOF hybrid structures: Advancements for non-enzymatic wearable glucose sensors

Abstract There is an urgent need of perceptive flexible wearable sensors, for the continuous monitoring of the glucose particularly in a non-invasive way, to control the diabetes at early stages, We have conception of developing non-enzymatic glucose sensing for the detection purpose. Recently, nickel- based metal organic framework (Ni-MOF) has gained a significant importance as a sensing material for label-free, non-enzymatic glucose monitoring using electrochemical sensing techniques. This work, presents a novel state of the art hybridstructure of Ni-MOF consisting of stacked nanosheets embedded with porous nanopillars randomly providing large no. of active sites for the glucose detection. The hybrid structure indicate a close contact between the glucose and the active sites of Ni ions ensuring an efficient glucose sensing. As synthesized Ni-MOF was used for the potentiometric and amperometric electrochemical detection of the glucose using screen-printed electrode (SPE) which are suitable for flexible sensor applications. With SPE, Ni-MOF shows a wide detection range for glucose from 60 µM to 600 µM with the LOD of 0.28 µM and the sensitivity of 4462.03 µA mM-1 cm-2, which is extremely favourable for glucose detection in sweat and saliva of human. The as developed material has potential as a working electrode on the flexible substrate like polyethylene terephthalate (PET), for sensing glucose in sweat and saliva samples.

High-strength of additive-manufactured PEEK and Ti6Al4V structure via warm isostatic pressing: applications in medical implants and injection moulds

ABSTRACT Polymer–metal hybrid structures offer synergistic benefits in mechanical property control and lightweight design, making them valuable across various industries. In this study, we designed and developed a warm isostatic pressing (WIP) to fabricate a hybrid structure using additive-manufactured polyetheretherketone (PEEK) and Ti-6Al-4V (Ti64) with an octet-truss lattice structure (OT). The effects of the WIP temperature on the mechanical properties of PEEK were examined by subjecting the parts to different temperatures during the WIP and performing tensile tests. Additionally, to confirm the mechanical properties of Ti64 with OT, we performed a compression test according to the unit cell size (1, 2, 3 mm) at a density of 30% before and after the WIP. Accordingly, we joined a PEEK with superior tensile strength and Ti64 with OT using a WIP under the condition (330°C and 90 bar). Furthermore, we confirmed the superior joint strength of approximately 71.6–74.8% in terms of the tensile and shear strengths of the PEEK-Ti64 hybrid structures compared to the warm isostatic pressed PEEK. Finally, we demonstrated the feasibility of applying PEEK-Ti64 hybrid structures to biomedical implants such as spinal cages and lightweight injection moulds highlighting the potential in advanced manufacturing.

Synergistic design and synthesis of O, N Co-doped hierarchical porous carbon for enhanced supercapacitor performance

Carbon-based supercapacitors have emerged as promising energy storage components for renewable energy applications due to the unique combination of various physicochemical characteristics in porous carbon materials (PCMs) that can improve specific capacitance (SC) properties. It is essential to develop a methodical approach that exploits the synergy of these effects in PCMs to achieve superior capacitance performance. In this study, machine learning (ML) provided a clear direction for experiments in the screening of key physicochemical features; SHapley Additive exPlanations analysis on ML indicated that specific surface area and specific doping species had a significant synergistic impact on SC enhancement. Utilizing these insights, an O, N co-doped hierarchical porous carbon (ONPC-900) was synthesized using a synergistic pyrolysis strategy through K2CO3-assisted in-situ thermal exfoliation and nanopore generation. This method leverages the role of carbon nitride (graphite-phase carbon nitride) as an in-situ layer-stacked template and the oxygen (O)-rich properties of the pre-treated lignite, enabling controlled synthesis of graphene-like folded and amorphous hybrid structures engineered for the efficient N and O doping sites and high specific surface area, resulting in an electrode material with enhanced structural adaptability, rapid charge transfer, and diffusion mass transfer capacity. Density functional theory (DFT) calculations further confirmed that pyrrole nitrogen (N-5), carboxyl (-COOH) active sites, and the defect structure formed by pores synergically enhanced the adsorption of electrolyte ions (K+) and electron transfer, improving the SC performance. The optimized ONPC-900 electrode exhibited impressive SC properties of 440 F g-1 (0.5 A g-1), outperforming most coal-based PCMs. This study provides a methodology for designing and synthesizing high SC electrode materials by optimizing the key characteristic parameters of synergism from complex structure-activity relationships through the combination of ML screening, experimental synthesis, and density functional theory validation.

Investigation of magnetic properties in Y3Fe5O12/Cr2O3/Pt tri-layers

Abstract Artificial multiferroics combining ferroelectric and magnetic materials exhibits a sizable magnetoelectric coupling and further shows a great potential for realizing low power consumption information processing. In this work, hybrid structures consisting of the ferrimagnetic yttrium iron garnet (Y3Fe5O12, (YIG)) layer and anti-ferromagnetic chromium oxide (Cr2O3) layer are deposited directly onto (110)-oriented single-crystal Pb(Mg1/3Nb2/3)0.7Ti0.3O3 (PMN-PT) ferroelectric substrates by means of radio frequency magnetron sputtering and post-annealing procedures. The dynamical properties of YIG films are investigated via ferromagnetic resonance measurements and a low damping constant of 0.00258 is obtained. Combining the element-specific soft x-ray absorption spectroscopy, x-ray magnetic circular dichroism and x-ray magnetic linear dichroism, the magnetic order in YIG film and the Néel order in Cr2O3 layers are further characterized. By capping a platinum (Pt) layer on PMN-PT/YIG/Cr2O3, a visible spin-charge converted signal has been obtained via both spin pumping and spin Seebeck measurements. These results indicate that the artificial multiferroic structures PMN-PT/YIG/Cr2O3/Pt serve as a promising material platform for realizing an efficient manipulation of magnetism via electrical means.

Recent Advances in the Chemistry of Thienopyranone Heterocycles: Synthesis, Reactivity, and Application

Abstract: Thiophene and pyranone are valuable heterocyclic compounds that play a crucial role in the development of new drug molecules. The combination of thiophene and pyranone moieties in hybrid structures has opened exciting possibilities for various applications, leading to the discovery of thienopyranones (Thpyns), such as 5H-thieno[3,2-b]pyran-5-one, 2H-thieno[2,3-b]pyran-2-one, 4H-thieno[3,2-c]pyran-4-one, 7H-thieno[2,3-c]pyran-7-one, all of which exhibit intriguing properties. This review offers an in-depth analysis of the preparation methods and chemical reactivity of thienopyranones

Design, Synthesis, and Antioxidant and Anti-Tyrosinase Activities of (Z)-5-Benzylidene-2-(naphthalen-1-ylamino)thiazol-4(5H)-one Analogs: In Vitro and In Vivo Insights

Fifteen compounds (1–15) constructed on a hybrid structure combining a β-phenyl-α,β-unsaturated carbonyl template and a 2-aminothiazol-4(5H)-one scaffold were designed and synthesized as potential novel anti-tyrosinase substances. Two compounds (10 and 15) showed more potent inhibition against mushroom tyrosinase than kojic acid, and the inhibitory activity of 10 (IC50 value: 1.60 μM) was 11 times stronger than that of kojic acid. Lineweaver–Burk plots indicated that these two compounds were competitive inhibitors that bound to the mushroom tyrosinase active site, which was supported by in silico experiments. Compound 10 was an anti-tyrosinase and anti-melanogenic substance in B16F10 cells and was more potent than kojic acid, without cytotoxicity. Compound 15 exhibited the most potent effect on zebrafish larval depigmentation and showed a depigmentation effect comparable to kojic acid, even at a concentration 200 times lower. Compounds 8 and 10 exhibited strong antioxidant capacities, scavenging 2,2-diphenyl-1-picrylhydrazyl, (2,2-azino-bis-3-ethylbenzothiazoline-6-sulphonic acid)+ radicals, and reactive oxygen species. Hybrid compounds 10 and 15 are potential therapeutic agents for skin hyperpigmentation disorders.

Correlation between interlaminar shear strength of CFRP and joint strength of aluminium-CFRP hybrid joints

ABSTRACT Fibre-reinforced polymers are increasingly used due to their high specific strength, making them suitable for local sheet metal reinforcement. This allows improved overall mechanical properties with reduced wall thickness of the sheet metal part and, thus, lower weight of the components. One of the main focuses of research into such hybrid structures is on the adhesive properties and the respective failure behaviour of the interfaces. Generally, the failure behaviour under the influence of mechanical loads can be divided into adhesive, cohesive and mixed-mode failure. The correlation between observed failure behaviour and adhesion properties of the hybrid composite materials is analysed in detail in this work. The hybrid composite consists of an aluminium sheet of the alloy EN AW‑6082 T6 and thermoset carbon fibre-reinforced plastic (CFRP) prepreg. The aluminium sheet was laser pretreated before hybrid production to improve the adhesion properties. The specimens studied were produced by the prepreg pressing process, in which the components are cured and joined simultaneously. The influences of the thickness of the CFRP part, the layup, the fibre orientation at the boundary layer, and the laser pretreatment parameters on the properties of the hybrid joints were investigated.

Plasma Treatment of Metal Surfaces for Enhanced Bonding Strength of Metal–Polymer Hybrid Structures

The adhesion between metals and polymers plays a pivotal role in numerous industrial applications, especially within the automotive and aerospace sectors, where there is a growing demand for materials that are both lightweight and durable. This study introduces an innovative technique to improve the adhesion between a metal and a polymer in hybrid structures through the synergistic use of anodization and plasma treatment. By forming a nanoporous oxide layer on aluminum surfaces, anodization enhances the interface for polymer binding. Plasma treatment further augments the surface properties by increasing the concentration of functional groups, thus allowing better polymer infiltration during the 3D printing process. Comprehensive analyses, including X-ray photoelectron spectroscopy, energy dispersive X-ray spectroscopy, and contact angle measurements confirm the substantial enhancement in the bonding strength achieved through this method. Additionally, cross-sectional analysis via focused ion-beam etching provides a detailed view of polymer integration into the treated layers. The findings suggest significant potential for these surface modification strategies to advance the development of lightweight, robust composites suitable for use in sectors such as automotive, aerospace, and consumer electronics.

The Future of Work: Key Factors for Successfully Implementing and Optimizing Hybrid and Remote Work Structures

The rapid transformation of workplace models has accelerated due to advancements in technology and the unprecedented impact of the COVID-19 pandemic. This paper explores the future of work, focusing on key factors critical to the successful implementation and optimization of hybrid and remote work structures. Key aspects include organizational strategy, technological infrastructure, employee well-being, leadership roles, and the need for equitable policies. Drawing from recent studies and industry practices, this research highlights challenges, strategies, and actionable insights for businesses seeking to adapt to evolving workplace trends while maintaining productivity and employee satisfaction. The findings aim to provide a comprehensive framework for organizations to thrive in the hybrid and remote work era.

Enhanced Near-Infrared Fluorescence Emission near a Graphene-Metal Hybrid Structure.

Plasmon resonance plays an important role in improving the detection of biomolecules, and it is one of the focuses of research to use metal plasmon resonance to achieve fluorescence enhancement and to improve detection sensitivity. However, the problems of nondynamic tuning and fluorescence quenching of metal plasmon resonance need to be solved. Graphene surface plasmon resonance can be dynamically controlled, and the graphene adsorption of fluorescent molecules can avoid fluorescence quenching and greatly improve the fluorescence emission intensity. The graphene-metal hybrid structure designed in this work can solve the above two problems well, and the plasmon resonance can improve the fluorescence emission efficiency of molecules on the surface of graphene and improve the sensitivity of biological detection. At the same time, graphene nanoribbons in our hybrid structure do not require patterning, which greatly lowers the threshold for graphene application in biosensing.

RRFtargetDB: a database of Ago1-mediated targets of ribosomal RNA fragments.

rRNA-derived fragments (rRFs) are a class of emerging post-transcriptional regulators of gene expression likely binding to the transcripts of target genes. However, the lack of knowledge about such targets hinders our understanding of rRF functions or binding mechanisms. The paucity of resources supporting the identification of the targets of rRFs creates a bottleneck in the fast-developing field. We have previously analyzed chimeric reads in crosslinked Argonaute1-RNA complexes to help infer the guide-target pairs and binding mechanisms of multiple rRFs based on experimental data in human HEK293 cells. To efficiently disseminate these results to the research community, we designed a web-based database rRFtargetDB that preserves most of the experimental results after removal of noise and has a user-friendly interface with flexible query options and filters allowing users to obtain comprehensive information on rRFs (or targets) of interest. rRFtargetDB is populated by ~163,000 experimentally determined unique rRF-mRNA pairs (~60,000 supported by ≥2 reads). Almost 30,000 rRF isoforms produced >385 000 (>156 000 with ≥2 reads) chimeras with all types of RNA targets (mRNAs and non-coding RNAs). Further analyses suggested hypothetical modes of interactions, supported by secondary structures of potential guide-target hybrids and binding motifs, essential for understanding the targeting mechanisms of rRFs. All these results (ranging from the weakest to the strongest experimental support) are presented in rRFtargetDB, whose goal is to provide a resource for building users' hypotheses on potential roles of rRFs. Further, we illustrate the value/application of the database on several examples. rRFtargetDB is freely accessible at https://grigoriev-lab.camden.rutgers.edu/tardb.

Modulation of CRISPR-Cas9 cleavage with an oligo-ribonucleoprotein design.

Clustered regularly interspaced short palindromic repeats (CRISPR) associated protein Cas9 system has been widely used for genome editing. However, the editing or cleavage specificity of CRISPR Cas9 remains a major concern due to the off-target effects. The existing approaches to control or modulate CRISPR Cas9 cleavage include engineering Cas9 protein and development of anti-CRISPR proteins. There are also attempts on direct modification of sgRNA, for example, structural modification via truncation or hairpin design, or chemical modification on sgRNA such as partially replacing RNA with DNA. The above-mentioned strategies rely on extensive protein engineering and direct chemical or structural modification of sgRNA. In this study, we proposed an indirect method to modulate CRISPR Cas9 cleavage without modification on Cas9 protein or sgRNA. An oligonucleotide was used to form an RNA-DNA hybrid structure with the sgRNA spacer, creating steric hindrance during the Cas9 mediated DNA cleavage process. We first introduced a simple and robust method to assemble the oligo-ribonucleoprotein (oligo-RNP). Next, the cleavage efficiency of the assembled oligo-RNP was examined using different oligo lengths in vitro. Lastly, we showed that the oligo-RNP directly delivered into cells could also modulate Cas9 activity inside cells using three model gene targets with reduced off-target effects.

Data-Oriented Octree Inverse Hierarchical Order Aggregation Hybrid Transformer-CNN for 3D Medical Segmentation.

The hybrid CNN-transformer structures harness the global contextualization of transformers with the local feature acuity of CNNs, propelling medical image segmentation to the next level. However, the majority of research has focused on the design and composition of hybrid structures, neglecting the data structure, which enhance segmentation performance, optimize resource efficiency, and bolster model generalization and interpretability. In this work, we propose a data-oriented octree inverse hierarchical order aggregation hybrid transformer-CNN (nnU-OctTN), which focuses on delving deeply into the data itself to identify and harness potential. The nnU-OctTN employs the U-Net as a foundational framework, with the node aggregation transformer serving as the encoder. Data features are stored within an octree data structure with each node computed autonomously yet interconnected through a block-to-block local information exchange mechanism. Oriented towards multi-resolution feature data map learning, a cross-fusion module has been designed that associates the encoder and decoder in a staggered vertical and horizontal approach. Inspired by nnUNet, our framework automatically adapts network parameters to the dataset instead of using pre-trained weights for initialization. The nnU-OctTN method was evaluated on the BTCV, ACDC, and BraTS datasets and achieved excellent performance with dice score coefficient (DSC) 86.95, 92.82, and 90.61, respectively, demonstrating its generalizability and effectiveness. Cross-fusion module effectiveness and model scalability are validated through ablation experiments on BTCV and Kidney. Extensive qualitative and quantitative experimental results demonstrate that nnU-OctTN achieves high-quality 3D medical segmentation that has competitive performance against current state-of-the-art methods, providing a promising idea for clinical applications.

Experimental Study on Mechanical Performance of Single-Side Bonded Carbon Fibre-Reinforced Plywood for Wood-Based Structures.

In addition to the traditional uses of plywood, such as furniture and construction, it is also widely used in areas that benefit from its special combination of strength and lightness, particularly as a construction material for the production of finishing elements of campervans and yachts. In light of the current need to reduce emissions of climate-damaging gases such as CO2, the use of lightweight construction materials is very important. In recent years, hybrid structures made of carbon fibre-reinforced plastics (CFRPs) and metals have attracted much attention in many industries. In contrast to hybrid metal/carbon fibre composites, research relating to laminates consisting of CFRPs and wood-based materials shows less interest. This article analyses the hybrid laminate resulting from bonding a CFRP panel to plywood in terms of strength and performance using a three-point bending test, a static tensile test and a dynamic analysis. Knowledge of the dynamic characteristics of carbon fibre-reinforced plywood allows for the adoption of such cutting parameters that will help prevent the occurrence of self-excited vibrations in the cutting process. Therefore, in this work, it was decided to determine the effect of using CFRP laminate on both the static and dynamic stiffness of the structure. Most studies in this field concern improving the strength of the structure without analysing the dynamic properties. This article proposes a simple and user-friendly methodology for determining the damping of a sandwich-type system. The results of strength tests were used to determine the modulus of elasticity, modulus of rupture, the position of the neutral axis and the frequency domain characteristics of the laminate obtained. The results show that the use of a CFRP-reinforced plywood panel not only improves the visual aspect but also improves the strength properties of such a hybrid material. In the case of a CFRP-reinforced plywood panel, the value of tensile stresses decreased by sixteen-fold (from 1.95 N/mm2 to 0.12 N/mm2), and the value of compressive stresses decreased by more than seven-fold (from 1.95 N/mm2 to 0.27 N/mm2) compared to unreinforced plywood. Based on the stress occurring at the tensile and compressive sides of the CFRP-reinforced plywood sample surface during a cantilever bending text, it was found that the value of modulus of rupture decreased by three-fold and the value of the modulus of elasticity decreased by more than five-fold compared to the unreinforced plywood sample. A dynamic analysis allowed us to determine that the frequency of natural vibrations of the CFRP-reinforced plywood panel increased by about 33% (from 30 Hz to 40 Hz) compared to the beam made only of plywood.

Axial compressive characteristics and crashworthiness of damaged composites/metal hybrid structures by acoustic emission, infrared thermography and micro-CT

Axial compressive characteristics and crashworthiness of damaged composites/metal hybrid structures by acoustic emission, infrared thermography and micro-CT

DNA-amphiphilic nanostructures: synthesis, characterization and applications.

DNA's extraordinary potential reaches far beyond its role as a carrier of genetic information. It serves as a remarkably adaptable structural foundation for constructing intricate nanostructures with a diverse range of functionalities. This inherent programmability sets DNA apart from other biomolecules like peptides, proteins, and small molecules. By covalently attaching DNA to synthetic hydrophobic moieties, researchers create DNA amphiphiles capable of interacting with artificial lipid bilayers and cell membranes. These hybrid structures have rapidly gained prominence due to their promising potential in the medical field. This review provides a comprehensive overview of the latest advancements in the synthesis of DNA amphiphiles and their assembly into well-defined nanostructures. It explores the diverse applications of these nanostructures across various medical domains, including targeted drug delivery, innovative immunotherapies, and gene-silencing techniques. Moreover, the review delves into the current challenges and prospects of this rapidly evolving field, highlighting the potential of DNA hybrid materials to revolutionize medical treatments and diagnostics. By addressing the limitations and exploring new avenues of research, scientists aim to unlock the full potential of DNA nanotechnology for the benefit of human health.

Design of a new Ni@NCNT/graphene hybrid structured catalyst for high-performance electrochemical CO2 reduction: unravelling the roles of N-doping.

Doping strategies have been recognized as effective approaches for developing cost-effective and durable catalysts with enhanced reactivity and selectivity in the electrochemical synthesis of value-added compounds directly from CO2. However, the reaction mechanism and the specific roles of heteroatom doping, such as N doping, in advancing the CO2 reduction reaction are still controversial due to the lack of precise control of catalyst surface microenvironments. In this study, we investigated the effects of N doping on the performances for electrochemically converting CO2 to CO over Ni@NCNT/graphene hybrid structured catalysts (Ni@NCNT/Gr). Ni nanoparticles (Ni NPs) were encapsulated in N-doped carbon nanotubes (NCNTs) which were in situ generated from g-C3N4 during the annealing process due to the thermal catalysis of the existing Ni NPs. Our results show that the optimized pyrrolic N doping level, coupled with stable NCNT/Gr hybrid structures, high electrochemically active surface area, rich active sites, and reduced Ni NP size, synergistically contribute to the distinguished electrocatalytic performances. The as-prepared Ni@NCNT/Gr-R catalyst demonstrated a high CO faradaic efficiency (>90%) with negligible differences in CO FE across a wide potential range (-0.71--0.91 V vs. RHE) in an H-cell while maintaining magnificent stability with negligible current density loss for 24 hours at -0.71 V (vs. RHE). Our findings provide evidence and insight into the optimization of pyrrolic N doping levels together with reducing NP size within the stable NCNT/Gr hybrid substrate for designing efficient CO2 reduction catalysts.

Optimal design of acoustic metamaterials for noise suppression by the frequency division in military equipment

This paper presents a multi-Helmholtz unit series–parallel acoustic metamaterial with a segmented noise control effect designed by taking advantage of the adjustable frequency band of an acoustic metamaterial, aiming to change the main noise spectrum characteristics under different driving conditions of military equipment such as tanks. Based on the transfer matrix method, a theoretical model that can predict the acoustic characteristics of a hybrid structure with multiple Helmholtz resonator (HR) units is established, and its feasibility is verified through finite element simulations and experiments. By combining particle swarm optimization with finite element simulation, the suboptimal average sound absorption coefficient (αavg) of ten populations was 0.52, 0.54, 0.54, and 0.44, respectively, after iterating for 50 generations. The results demonstrate that the αavg of the four groups of HRs in series with three layers reaches 0.79, 0.62, and 0.66, respectively, at the frequency bands of 205–285, 540–720, and 940–1130 Hz, and the overall thickness of the longest part is 88 mm. Low-frequency noise at approximately λ/18 can be controlled. The HR obtained by means of the first series and then parallel can achieve accurate sound absorption for specific frequency bands and can reduce its volume by removing redundant absorption bands. The findings of this study provide an effective noise-control scheme for changing the noise environment in military equipment.

Tuning mucoadhesion and mucopenetration in self-assembled poly(lactic acid)-block-poly(oligoethylene glycol methacrylate) block copolymer nanoparticles by controlling side-chain lengths.

The capacity to tune the degree of mucoadhesion and mucopenetration of nanoparticles is essential to improving drug bioavailability, transport, and efficacy at mucosal interfaces. Herein, self-assembled nanoparticles (NPs) fabricated from amphiphilic block copolymers of poly(lactic acid) (PLA) and poly(oligo(ethylene glycol) methacrylate) (POEGMA) with various side chain lengths (PLA-POEGMAn) are reported to facilitate tunable mucosal interactions. PLA-POEGMAn nanoparticles with long PEG side chain lengths (n = 20, or 40) demonstrated mucoadhesive properties based on rheological synergism, calorimetric tracking of mucin-nanoparticle interactions, and the formation of larger NP-mucin hybrid structures; in contrast, NPs fabricated from block copolymers with shorter PEG side chains (n = 2/8-9 or n = 8,9) showed poor mucoadhesion but penetrated through the mucin layer with significantly higher permeation rates (>80%). All NP formulations showed good cytocompatibility (viability > 70%) with human corneal epithelial cells in vitro and no detectable acute in vivo ocular irritation in Sprague-Dawley rats. Coupled with the capacity of the synthetic route to easily incorporate different brush lengths and/or different functional groups into the hydrophilic block, we anticipate this approach may offer a solution in applications in which balancing mucoadhesion and mucopenetration is critical for enabling effective drug delivery.

Hierarchical structures of surface-accessible plasmonic gold and silver nanoparticles for SERS detection.

Surface-enhanced Raman spectroscopy (SERS) is a highly sensitive analytical technique with excellent molecular specificity. However, separate pristine nanoparticles produce relatively weak Raman signals. It is necessary to focus on increasing the "hot-spot" density generated at the nanogaps between the adjacent nanoparticles (second-generation SERS hotspot), thus significantly boosting the Raman signal by creating an electromagnetic field. This study employed a self-assembly method without using modifiers based on promoter-induced self-assembly to synthesize stable and plasmonically active surfaces from citrate-reduced Ag and Au nanoparticles. Hierarchical structures like Pickering emulsions (PEs) and stable plasmonic aggregates (SPAs) were studied, focusing on controlling their sizes using "promoters" (TBANO3). The sizes of the SPAs were also adjusted from 85.5 nm to 136 nm by regulating the ratio of the water to the oil phase. Furthermore, to understand the distribution of "hot-spots" on these Au or Ag hierarchical structures, the electric field was simulated using the finite difference time domain (FDTD) software. Third-generation hotspots were also created using hybrid structures of plasmonic nanomaterials and surfaces to significantly improve SERS detection by depositing the colloidosome structure on Cu foil (AgSPAs/Cu substrate). The SERS signal was amplified by achieving an enhancement factor of 7 × 107, compared to an enhancement factor of 2 × 106 when using the AgSPA/glass substrate. Significantly, the limits of detection (LOD) and quantification (LOQ) for the colloidosome substrate to detect crystal violet were found to be 4.51 ppb and 13.66 ppb, respectively. The reproducibility of the prepared substrates was demonstrated to be commendably high, characterized by relative standard deviations (RSDs) of 8.00% for the 1177 cm-1 peak, 7.61% for the 1588 cm-1 peak, and 9.35% for the 1619 cm-1 peak. The AgSPAs/Cu substrate's demonstrated reliability made it suitable for detecting and quantifying analytes, potentially for determining trace amounts of pesticide residues. The LOD and LOQ for thiram detection were calculated to be 0.1 ppm and 0.3 ppm, respectively. These findings highlight the effectiveness of increasing electromagnetic field density for SERS enhancement.