Cost Effective Silver Nanowire-Decorated Graphene Paper for Drop-on SERS Biodetection

The use of SERS for real-world bioanalytical applications represents a concrete opportunity, which, however, is being largely delayed by the inadequacy of existing substrates used to collect SERS spectra. In particular, the main bottleneck is their poor usability, as in the case of unsupported noble metal colloidal nanoparticles or because of the need for complex or highly specialized fabrication procedures, especially in view of a large-scale commercial diffusion. In this work, we introduce a graphene paper-supported plasmonic substrate for biodetection as obtained by a simple and rapid aerosol deposition patterning of silver nanowires. This substrate is compatible with the analysis of small (2 μL) analyte drops, providing stable SERS signals at sub-millimolar concentration and a detection limit down to the nanogram level in the case of hemoglobin. The presence of a graphene underlayer assures an even surface distribution of SERS hotspots with improved stability of the SERS signal, the collection of well-resolved and intense SERS spectra, and an ultra-flat and photostable SERS background in comparison with other popular disposable supports.

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Flexible transparent electrodes based on silver nanowires synthesized via a simple method

Royal Society Open Science ◽

10.1098/rsos.170756 ◽

2017 ◽

Vol 4 (9) ◽

pp. 170756 ◽

Cited By ~ 5

Author(s):

De Li ◽

Tao Han ◽

Lei Zhang ◽

Huai Zhang ◽

Hui Chen

Keyword(s):

Silver Nanowires ◽

Cost Effective ◽

Silver Nanowire ◽

Vinyl Pyrrolidone ◽

High Yield ◽

Transparent Electrodes ◽

X Ray Diffraction ◽

Simple Method ◽

Uv Visible ◽

Poly Vinyl Pyrrolidone

Silver nanowires (Ag NWs) with the length of approximately 60 µm and the diameter of approximately 300 nm are prepared via a simple, cost-effective, high-yield and eco-friendly procedure under a high molar concentration ratio of silver nitrate (AgNO 3 ) solution to poly(vinyl pyrrolidone) solution. The pre-synthesized Ag NWs were analysed by scanning electron microscopy, X-ray diffraction and UV–visible spectrophotometer. Furthermore, the as-prepared silver nanowires were roll-coated on the surfaces of the polyethylene terephthalate (PET) substrates. By optimizing the concentration of silver nanowire solution, the flexible Ag NW/PET transparent electrodes with a sheet resistance of 3.8 Ω sq −1 at a transmittance of 70% can be fabricated. The results reported in this paper provide a basis for optimizing the growth of silver nanowires and performances of transparent electrodes.

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Investigating the effect of capping agent PVP on the synthesis of silver nanowires by polyol method and its application as flexible transparent conducting electrode

Science and Technology Development Journal ◽

10.32508/stdj.v16i4.1596 ◽

2013 ◽

Vol 16 (4) ◽

pp. 52-60

Author(s):

Thu Thi Hoang ◽

Trung Quang Tran

Keyword(s):

Large Scale ◽

Silver Nanowires ◽

Silver Nanowire ◽

Polyol Method ◽

Molar Ratio ◽

Synthesis Process ◽

Metal Nanostructures ◽

Sem Images ◽

Aspect Ratios ◽

Transparent Conducting

In this report, we present a rapid and efficient polyol method - the solution-phase approach for the large scale synthesis of silver nanowires with diameters in the range of 40 - 50 nm, and lengths up to 20 μm. Although the polyol process is a popular method of preparing metal nanostructures, so far most of the published works mainly focused on the synthesis process regardless of amount of surfactants. In this article, we successfully synthesized large-scale uniform silver nanowires with high aspect ratios by introducing the long-chain PVP (MW = 58 000) and investigated the effect of the amount of PVP on the synthesis of Ag nanowires by studying their morphologies, structures and optical properties. The dependency of nanowire morphology and aspect ratio on synthesis parameters was shown via SEM images. The diameter of nanowires decreased when the molar ratio of PVP to silver nitrate was increased. Further more, the molar ratios decided the morphology (particle, rod or wire) of the Silve solution. Synthesized silver nanowires were analyzed by scanning electron microscopy (SEM) and X-ray diffraction (XRD). This aqueous dispersions of silver nanowires were used to prepare thin, flexible, transparent, conducting films on polyethylene terephthalate substrate (PET) by spraying method. The prepared silver nanowire films on PET substrate had a transparency of 82% and sheet resistance of 10 Ω/□.

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Scalable Deposition of Nanomaterial-Based Temperature Sensors for Transparent and Pervasive Electronics

Journal of Sensors ◽

10.1155/2018/7102069 ◽

2018 ◽

Vol 2018 ◽

pp. 1-9 ◽

Cited By ~ 2

Author(s):

Andreas Albrecht ◽

Almudena Rivadeneyra ◽

Marco Bobinger ◽

Jacopo Bonaccini Calia ◽

Florin C. Loghin ◽

...

Keyword(s):

Carbon Nanotubes ◽

Energy Harvesting ◽

Large Scale ◽

Spray Deposition ◽

Silver Nanowires ◽

Flexible Substrate ◽

Cost Effective ◽

Temperature Sensors ◽

Polystyrene Sulfonate ◽

Final Performance

This work presents a comparative analysis of materials for planar semitransparent thermocouples fabricated by spray deposition on a flexible substrate. Three different materials are employed to build such devices, analyzing also the effect of the spray order in their final performance. The highest Seebeck coefficient (50.4 μV/K) is found for a junction made of carbon nanotubes (CNTs) on top of silver nanowires (AgNWs) whereas its efficiency in terms of power is the lowest because of the higher sheet resistance of the CNTs. In this case, the best combination for energy-harvesting purposes would be poly (3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) and AgNWs, with a power factor of 219 fW/K2. These results prove the feasibility of developing large-scale and cost-effective thermocouples that could be used for sensing or energy-harvesting applications.

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Silver Nanowire Synthesis and Strategies for Fabricating Transparent Conducting Electrodes

Nanomaterials ◽

10.3390/nano11030693 ◽

2021 ◽

Vol 11 (3) ◽

pp. 693

Author(s):

Amit Kumar ◽

Muhammad Omar Shaikh ◽

Cheng-Hsin Chuang

Keyword(s):

Electrical Conductivity ◽

Silver Nanowires ◽

Cost Effective ◽

Silver Nanowire ◽

Metal Nanowires ◽

Active Components ◽

Mechanical Stiffness ◽

Solution Deposition ◽

Transparent Conducting ◽

Transparent Conducting Electrodes

One-dimensional metal nanowires, with novel functionalities like electrical conductivity, optical transparency and high mechanical stiffness, have attracted widespread interest for use in applications such as transparent electrodes in optoelectronic devices and active components in nanoelectronics and nanophotonics. In particular, silver nanowires (AgNWs) have been widely researched owing to the superlative thermal and electrical conductivity of bulk silver. Herein, we present a detailed review of the synthesis of AgNWs and their utilization in fabricating improved transparent conducting electrodes (TCE). We discuss a range of AgNW synthesis protocols, including template assisted and wet chemical techniques, and their ability to control the morphology of the synthesized nanowires. Furthermore, the use of scalable and cost-effective solution deposition methods to fabricate AgNW based TCE, along with the numerous treatments used for enhancing their optoelectronic properties, are also discussed.

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Radio Frequency Induction Welding of Silver Nanowire Networks for Transparent Heat Films

Materials ◽

10.3390/ma14164448 ◽

2021 ◽

Vol 14 (16) ◽

pp. 4448

Author(s):

Jisoo Oh ◽

Long Wen ◽

Hyunwoo Tak ◽

Heeju Kim ◽

Gyowun Kim ◽

...

Keyword(s):

Radio Frequency ◽

Silver Nanowires ◽

Optical Transmittance ◽

Silver Nanowire ◽

Welding Condition ◽

Bending Resistance ◽

Higher Power ◽

S 100 ◽

Improved Stability ◽

Nanowire Networks

Transparent heat films (THFs) are attracting increasing attention for their usefulness in various applications, such as vehicle windows, outdoor displays, and biosensors. In this study, the effects of induction power and radio frequency on the welding characteristics of silver nanowires (Ag NWs) and Ag NW-based THFs were investigated. The results showed that higher induction frequency and higher power increased the welding of the Ag NWs through the nano-welding at the junctions of the Ag NWs, which produced lower sheet resistance, and improved the adhesion of the Ag NWs. Using the inductive welding condition of 800 kHz and 6 kW for 60 s, 100 ohm/sq of Ag NW thin film with 95% transmittance at 550 nm after induction heating could be decreased to 56.13 ohm/sq, without decreasing the optical transmittance. In addition, induction welding of the Ag NW-based THFs improved haziness, increased bending resistance, enabled higher operating temperature at a given voltage, and improved stability.

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Efficient Schedule of Energy-Constrained UAV Using Crowdsourced Buses in Last-Mile Parcel Delivery

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies ◽

10.1145/3448079 ◽

2021 ◽

Vol 5 (1) ◽

pp. 1-23

Author(s):

Yan Pan ◽

Shining Li ◽

Qianwu Chen ◽

Nan Zhang ◽

Tao Cheng ◽

...

Keyword(s):

Traffic Congestion ◽

Large Scale ◽

Load Capacity ◽

Scheduling Algorithm ◽

Cost Effective ◽

Promising Alternative ◽

Logistics Industry ◽

Last Mile ◽

Delivery Scheduling ◽

Schedule Approach

Stimulated by the dramatical service demand in the logistics industry, logistics trucks employed in last-mile parcel delivery bring critical public concerns, such as heavy cost burden, traffic congestion and air pollution. Unmanned Aerial Vehicles (UAVs) are a promising alternative tool in last-mile delivery, which is however limited by insufficient flight range and load capacity. This paper presents an innovative energy-limited logistics UAV schedule approach using crowdsourced buses. Specifically, when one UAV delivers a parcel, it first lands on a crowdsourced social bus to parcel destination, gets recharged by the wireless recharger deployed on the bus, and then flies from the bus to the parcel destination. This novel approach not only increases the delivery range and load capacity of battery-limited UAVs, but is also much more cost-effective and environment-friendly than traditional methods. New challenges therefore emerge as the buses with spatiotemporal mobility become the bottleneck during delivery. By landing on buses, an Energy-Neutral Flight Principle and a delivery scheduling algorithm are proposed for the UAVs. Using the Energy-Neutral Flight Principle, each UAV can plan a flying path without depleting energy given buses with uncertain velocities. Besides, the delivery scheduling algorithm optimizes the delivery time and number of delivered parcels given warehouse location, logistics UAVs, parcel locations and buses. Comprehensive evaluations using a large-scale bus dataset demonstrate the superiority of the innovative logistics UAV schedule approach.

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Multi-Country Scale Assessment of Available Energy Recovery Potential Using Micro-Hydropower in Drinking, Pressurised Irrigation and Wastewater Networks, Covering Part of the EU

Water ◽

10.3390/w13070899 ◽

2021 ◽

Vol 13 (7) ◽

pp. 899

Author(s):

Djordje Mitrovic ◽

Miguel Crespo Chacón ◽

Aida Mérida García ◽

Jorge García Morillo ◽

Juan Antonio Rodríguez Diaz ◽

...

Keyword(s):

Drinking Water ◽

Northern Ireland ◽

Energy Recovery ◽

Large Scale ◽

Significant Proportion ◽

Value Added ◽

Cost Effective ◽

Net Energy ◽

Water Networks ◽

Scale Assessment

Studies have shown micro-hydropower (MHP) opportunities for energy recovery and CO2 reductions in the water sector. This paper conducts a large-scale assessment of this potential using a dataset amassed across six EU countries (Ireland, Northern Ireland, Scotland, Wales, Spain, and Portugal) for the drinking water, irrigation, and wastewater sectors. Extrapolating the collected data, the total annual MHP potential was estimated between 482.3 and 821.6 GWh, depending on the assumptions, divided among Ireland (15.5–32.2 GWh), Scotland (17.8–139.7 GWh), Northern Ireland (5.9–8.2 GWh), Wales (10.2–8.1 GWh), Spain (375.3–539.9 GWh), and Portugal (57.6–93.5 GWh) and distributed across the drinking water (43–67%), irrigation (51–30%), and wastewater (6–3%) sectors. The findings demonstrated reductions in energy consumption in water networks between 1.7 and 13.0%. Forty-five percent of the energy estimated from the analysed sites was associated with just 3% of their number, having a power output capacity >15 kW. This demonstrated that a significant proportion of energy could be exploited at a small number of sites, with a valuable contribution to net energy efficiency gains and CO2 emission reductions. This also demonstrates cost-effective, value-added, multi-country benefits to policy makers, establishing the case to incentivise MHP in water networks to help achieve the desired CO2 emissions reductions targets.

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Modeling Fused Filament Fabrication using Artificial Neural Networks

Production Engineering ◽

10.1007/s11740-021-01020-y ◽

2021 ◽

Author(s):

Paul Oehlmann ◽

Paul Osswald ◽

Juan Camilo Blanco ◽

Martin Friedrich ◽

Dominik Rietzel ◽

...

Keyword(s):

Real Time ◽

Large Scale ◽

Cost Effective ◽

Print Quality ◽

Ann Model ◽

Production Environment ◽

Fused Filament Fabrication ◽

Artificial Neural ◽

Using Data ◽

Artificial Neural Network Ann

AbstractWith industries pushing towards digitalized production, adaption to expectations and increasing requirements for modern applications, has brought additive manufacturing (AM) to the forefront of Industry 4.0. In fact, AM is a main accelerator for digital production with its possibilities in structural design, such as topology optimization, production flexibility, customization, product development, to name a few. Fused Filament Fabrication (FFF) is a widespread and practical tool for rapid prototyping that also demonstrates the importance of AM technologies through its accessibility to the general public by creating cost effective desktop solutions. An increasing integration of systems in an intelligent production environment also enables the generation of large-scale data to be used for process monitoring and process control. Deep learning as a form of artificial intelligence (AI) and more specifically, a method of machine learning (ML) is ideal for handling big data. This study uses a trained artificial neural network (ANN) model as a digital shadow to predict the force within the nozzle of an FFF printer using filament speed and nozzle temperatures as input data. After the ANN model was tested using data from a theoretical model it was implemented to predict the behavior using real-time printer data. For this purpose, an FFF printer was equipped with sensors that collect real time printer data during the printing process. The ANN model reflected the kinematics of melting and flow predicted by models currently available for various speeds of printing. The model allows for a deeper understanding of the influencing process parameters which ultimately results in the determination of the optimum combination of process speed and print quality.

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Anti-meningococcal B vaccination in Italian adolescents: a cost-effective health opportunity

European Journal of Public Health ◽

10.1093/eurpub/ckaa166.586 ◽

2020 ◽

Vol 30 (Supplement_5) ◽

Author(s):

D Panatto ◽

P Landa ◽

D Amicizia ◽

P L Lai ◽

E Lecini ◽

...

Keyword(s):

Large Scale ◽

Public Health Problem ◽

Vaccination Strategy ◽

Cost Effective ◽

Dose Schedule ◽

Developed Countries ◽

Invasive Disease ◽

International Setting ◽

The Impact

Abstract Background Invasive disease due to Neisseria meningitidis (Nm) is a serious public health problem even in developed countries, owing to its high lethality rate (8-15%) and the invalidating sequelae suffered by many (up to 60%) survivors. As the microorganism is transmitted via the airborne route, the only available weapon in the fight against Nm invasive disease is vaccination. Our aim was to carry out an HTA to evaluate the costs and benefits of anti-meningococcal B (MenB) vaccination with Trumenba® in adolescents in Italy, while also considering the impact of this new vaccination strategy on organizational and ethics aspects. Methods A lifetime Markov model was developed. MenB vaccination with the two-dose schedule of Trumenba® in adolescents was compared with 'non-vaccination'. Two perspectives were considered: the National Health Service (NHS) and society. Three disease phases were defined: acute, post-acute and long-term. Epidemiological, economic and health utilities data were taken from Italian and international literature. The analysis was conducted by means of Microsoft Excel 2010®. Results Our study indicated that vaccinating adolescents (11th year of life) with Trumenba® was cost-effective with an ICER = € 7,912/QALY from the NHS perspective and € 7,758/QALY from the perspective of society. Vaccinating adolescents reduces the number of cases of disease due to meningococcus B in one of the periods of highest incidence of the disease, resulting in significant economic and health savings. Conclusions This is the first study to evaluate the overall impact of free MenB vaccination in adolescents both in Italy and in the international setting. Although cases of invasive disease due to meningococcus B are few, if the overall impact of the disease is adequately considered, it becomes clear that including anti-meningococcal B vaccination into the immunization program for adolescents is strongly recommended from the health and economic standpoints. Key messages Free, large-scale MenB vaccination is key to strengthening the global fight against invasive meningococcal disease. Anti-meningococcal B vaccination in adolescents is a cost-effective health opportunity.

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Environmental Engineering Techniques to Restore Degraded Posidonia oceanica Meadows

Water ◽

10.3390/w13050661 ◽

2021 ◽

Vol 13 (5) ◽

pp. 661

Author(s):

Luigi Piazzi ◽

Stefano Acunto ◽

Francesca Frau ◽

Fabrizio Atzori ◽

Maria Francesca Cinti ◽

...

Keyword(s):

Large Scale ◽

Natural Habitat ◽

Cost Benefit ◽

Cost Effective ◽

Posidonia Oceanica ◽

Environmental Engineering ◽

Bottom Surface ◽

Sessile Invertebrates ◽

Set Up ◽

Short Time

Seagrass planting techniques have shown to be an effective tool for restoring degraded meadows and ecosystem function. In the Mediterranean Sea, most restoration efforts have been addressed to the endemic seagrass Posidonia oceanica, but cost-benefit analyses have shown unpromising results. This study aimed at evaluating the effectiveness of environmental engineering techniques generally employed in terrestrial systems to restore the P. oceanica meadows: two different restoration efforts were considered, either exploring non-degradable mats or, for the first time, degradable mats. Both of them provided encouraging results, as the loss of transplanting plots was null or very low and the survival of cuttings stabilized to about 50%. Data collected are to be considered positive as the survived cuttings are enough to allow the future spread of the patches. The utilized techniques provided a cost-effective restoration tool likely affordable for large-scale projects, as the methods allowed to set up a wide bottom surface to restore in a relatively short time without any particular expensive device. Moreover, the mats, comparing with other anchoring methods, enhanced the colonization of other organisms such as macroalgae and sessile invertebrates, contributing to generate a natural habitat.

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