Technology Gap Research Articles

In-vivo Raman microspectroscopy reveals differential nitrate concentration in different developmental zones in Arabidopsis roots

BackgroundNitrate (NO3−) is one of the two major forms of inorganic nitrogen absorbed by plant roots, and the tissue nitrate concentration in roots is considered important for optimizing developmental programs. Technologies to quantify the expression levels of nitrate transporters and assimilating enzymes at the cellular level have improved drastically in the past decade. However, a technological gap remains for detecting nitrate at a high spatial resolution. Using extraction-based methods, it is challenging to reliably estimate nitrate concentration from a small volume of cells (i.e., with high spatial resolution), since targeting a small or specific group of cells is physically difficult. Alternatively, nitrate detection with microelectrodes offers subcellular resolution with high cell specificity, but this method has some limitations on cell accessibility and detection speed. Finally, optical nitrate biosensors have very good (in-vivo) sensitivity (below 1 mM) and cellular-level spatial resolution, but require plant transformation, limiting their applicability. In this work, we apply Raman microspectroscopy for high-dynamic range in-vivo mapping of nitrate in different developmental zones of Arabidopsis thaliana roots in-situ.ResultsAs a proof of concept, we have used Raman microspectroscopy for in-vivo mapping of nitrate content in roots of Arabidopsis seedlings grown on agar media with different nitrate concentrations. Our results revealed that the root nitrate concentration increases gradually from the meristematic zone (~ 250 µm from the root cap) to the maturation zone (~ 3 mm from the root cap) in roots grown under typical growth conditions used for Arabidopsis, a trend that has not been previously reported. This trend was observed for plants grown in agar media with different nitrate concentrations (0.5–10 mM). These results were validated through destructive measurement of nitrate concentration.ConclusionsWe present a methodology based on Raman microspectroscopy for in-vivo label-free mapping of nitrate within small root tissue volumes in Arabidopsis. Measurements are done in-situ without additional sample preparation. Our measurements revealed nitrate concentration changes from lower to higher concentration from tip to mature root tissue. Accumulation of nitrate in the maturation zone tissue shows a saturation behavior. The presented Raman-based approach allows for in-situ non-destructive measurements of Raman-active compounds.

Economic development reloaded: the AI revolution in developing nations

This paper explores how Artificial Intelligence (AI) is poised to reshape economic development in developing countries. It examines AI's potential to enhance productivity, optimize resource allocation, and improve access to critical services like healthcare and education. Despite these opportunities, challenges such as technological infrastructure gaps and job displacement are significant. The paper emphasizes the need for tailored policy frameworks to harness AI's benefits while mitigating risks of widening inequalities or AI-poverty traps. By analyzing current economic trends and projections, the paper aims to provide insights into navigating AI adoption in developing economies, promoting sustainable growth and inclusive development in a rapidly evolving global landscape.

The effectiveness of RIPAT approach in influencing smallholder farmers’ agroecological transition in Ruangwa District, Tanzania

Agroecology approach is viewed as an alternative paradigm that promotes sustainable production and environmental conservation. Extension services are crucial for diffusing agroecological knowledge, facilitating the adoption of agroecological techniques. The Rural Initiatives for Participatory Agricultural Transformation (RIPAT) is a participatory extension approach developed to bridge the agricultural technology gap by disseminating sustainable agricultural innovations. This study aimed to assess the extent of agroecological transition among smallholder farmers and explore the role of RIPAT approach, alongside other factors, in this transition in Ruangwa District. Data were collected from 252 randomly selected farmers using questionnaire surveys and focus group discussion, and analyzed using descriptive and inferential statistics. Results indicated that all non-RIPAT farmers (100%) were in level 1; non-agroecological. In contrast, nearly half (47.6%) of RIPAT farmers showed progress in the agroecological transition: 37.3% were at level 2 (incipient transition to agroecology), 9.5% at level 3 (system in transition to agroecology), and 0.8% at level 4 (advanced agroecological system). This progress is primarily due to the agroecology-related training they received, which enhanced their knowledge and improved their practices. RIPAT farmers achieved higher average scores (over 50%) in the agroecology elements of Recycling, Efficiency, Co-Creation and Sharing of Knowledge, and Human and Social Values. However, for elements like Synergies, Resilience, and Responsible Governance, farmers were still lagging. The study further indicated that exposure to the RIPAT approach, access to information, and farm size were statistically significant factors influencing farmers’ agroecological transition. Enhancing animal husbandry practices and promoting agroforestry techniques are recommended to foster farm synergy and resilience through integrated farming systems. Additionally, establishing producer associations could strengthen responsible governance by improving farmers' collective bargaining power. The study recommends adoption of participatory extension approaches, such as the RIPAT approach, for transferring agroecological knowledge to promote farmers’ agroecological transition.

Legal Regime Covering Mineral Resources Benefit Sharing in the International Seabed Area

This paper presents recommendations for developing a legal framework for sharing benefits derived from mineral resources in the international seabed area. Establishing a legal regime that encompasses benefit sharing is of paramount importance for promoting the principle of a common heritage of mankind, for narrowing the technological gap that exists between developing and developed countries in the field of deep-sea mining, for safeguarding the rights and interests of developing countries, and for advancing global development. However, the international seabed management system is confronted with considerable challenges, including uncertainty regarding its contribution and redistribution mechanisms, the criteria for equitable distribution, and the initial distribution mechanism. These challenges have the potential to undermine the principle of a common heritage of mankind. To address these issues, it is imperative that the International Seabed Authority establish a robust legal regime for benefit-sharing without delay. To this end, a comprehensive approach is required, encompassing theoretical, institutional, and practical considerations, with the aim of enhancing the legal system governing the international seabed area. From a theoretical standpoint, the primary challenge lies in striking a balance between private and public interests in the initial distribution of benefits and addressing any subsequent distributional imbalances. Furthermore, it is imperative to prioritize environmental protection and sustainable resource management in the international seabed area. At the practical level, criteria for equitable sharing should be established, the order of distribution of benefits should be clarified, and a common heritage fund should be established. At the institutional level, it is necessary to establish a system of information transparency, implement the principle of intergenerational equity, and establish a standardized mechanism for stakeholder consultation.

Examining the Perceived Roles of Educational Planners in Shaping Pupils' Academic Performance in Dodoma Municipality, Tanzania

This study examines the roles of educational planners in shaping pupils' academic performance in Dodoma Municipality, Tanzania. The study aims to address two main specific objectives namely identifying strategies employed for enhancing pupils’ academic performance and assessing the challenges faced by educational planners in achieving the goals. An interpretive paradigm guided the study, using a qualitative approach with an exploratory case study design. The target population included 2600 teachers and 37 educational officers in Dodoma municipality. However, from the total population of 2637 only 15 participants were purposively sampled to participate in the study. Data were analyzed using content analysis with the aid of Atlas.ti software; and ethical approval was granted by the Directorate of Research, Publications, and Innovation at the Open University of Tanzania. The findings revealed that the strategies employed by educational planners to improve pupils' academic performance include curriculum development and implementation, teacher training and professional development, resource allocation and infrastructure development, monitoring and evaluation, stakeholder engagement, policy evaluation and implementation, and promoting equity and inclusion. Despite these efforts, several challenges hinder the effectiveness of these strategies. These challenges include economic constraints, inadequate resources, demographic factors, socio-cultural influences, technological gaps, and the need for enhanced teacher capacity building. In conclusion, while educational planners in Dodoma Municipality have implemented strategies aimed at improving academic outcomes, significant challenges remain. Addressing these barriers is essential for sustainable improvement. The study recommends aligning the curriculum with local contexts, expanding teacher training opportunities, particularly in modern pedagogies, and increasing community involvement in educational planning. Additionally, it is crucial to address resource allocation and infrastructure disparities, particularly in rural areas, to ensure that all pupils benefit from improved educational opportunities.

Impact of Technological Interventions on the Yield and Income of Tribal Farm Women’s in Arunachal Pradesh under Eastern Himalayan Region

The study was conducted to determine the extent of Impact, adoption of improved technologies, economics and yield gap analysis in the empowerment of tribal farm women’s cluster having 50 nos. of respondents selected among a pool of 105 farm families in the Chug village of West Kameng District Arunachal Pradesh. Various technological interventions were made by the K.V.K for the tribal farm women’s empowerment. In this reference the present study was undertaken to have an understanding of the nature and extent of the empowerment of rural women’sthrough involvement in income generational activities under the aegis of Doubling Farmers Income Programme started by Govt. of India. The study revealed that the highest income generating activity was paddy cum Fish farming and nursery raising of temperate fruit crops with >100% increase while the lowest income generating activity was SRI of local rice with 25% increase only. The extension gap recorded was highest 2000Kg/ha in the introduction of HYV of ginger and lowest 30 eggs/year in the introduction of improved poultry breed having same trend in (TG) technology gap i.e. 12000kg and 60 egg/year respectively. The technology index TI was highest 60 in ginger production and 16.66 in SRI of local paddy.

Dynamically logical modulation for THz wave within a dual gate-controlled 2DEG metasurface.

High-speed logic modulation of terahertz (THz) waves is crucial for future communications, yet a technology gap persists. Here, we report a dual gate-controlled two-dimensional electronic gas logic modulation metasurface that enables symmetric and asymmetric electron distribution states through independent control of the two electron transport channels. The transition between these two states leads to various response modes in the metasurface and notably increases the diversity of the spectrum transformation, resulting in a multivalued relationship in which each output corresponds to more than one input signal, thus establishing the logical modulation. Our results demonstrate the common logical functions of AND, OR, XOR, XNOR, NOR, and NAND at different frequencies with a modulation speed faster than 250 picoseconds. This work offers a unique avenue for the high-speed, free-space logical operation of THz waves and increases the security of secure communication.

Bioresorbable Vascular Scaffolds for the Treatment of Aortic Coarctation in Pediatric Patients – Aspects of Dimensional and Mechanical Performance

Abstract At present, there are no bioresorbable systems available for the treatment of aortic coarctation in pediatric patients. However, experience with off-label used systems and knowledge of bioresorbable scaffolds in other applications suggest potential benefits. While stenting techniques are typically preferred for older children, there have been encouraging reports regarding their use in newborns and very young infants recently. Bioresorbable scaffolds could potentially close the technological gap in this area and serve as a bridge therapy for non-operable patients. This work identifies geometric and loading aspects in the light of current literature to improve the growth-responsive development of new scaffolds for the treatment of congenital heart diseases with pediatric-specific characteristics.

Understanding inequities in access to diabetes technologies in children and young people with type 1 diabetes: Qualitative study of healthcare professionals' perspectives and views.

We explored healthcare professionals' perceptions and understandings of the factors and considerations underlying inequities in technology access in children and young people (CYP) with type 1 diabetes. We interviewed (n = 29) healthcare professionals working in paediatric diabetes in England recruited from (n = 15) purposively selected sites. We analysed data thematically. Interviewees highlighted multiple, often overlapping barriers to accessing technology faced by CYP with type 1 diabetes from deprived and/or ethnic minority backgrounds. They described the impacts of deprivation on technology uptake, together with the complex social, ethnic and cultural factors that could also reinforce disparities in technology access. Interviewees further highlighted staffing shortfalls as a significant barrier to supporting CYP to use technology, especially those from under-represented groups who they perceived as requiring more staff time to be trained to use technology. While interviewees suggested that unconscious bias has become less prominent, they reported being less likely to recommend technology (especially pumps) to CYP/caregivers who they feared would not use it safely and effectively (e.g. those with low literacy levels). Interviewees also highlighted geographical variability in the technology commissioning process (a 'postcode lottery'). Our findings suggest that without targeted interventions, technology inequities may continue to persist amongst CYP from the most and least deprived areas and from white and ethnic minority groups in the United Kingdom. Additionally, our findings suggest that closing the technology gap will require large-scale governmental and health policies aimed at fostering socioeconomic, ethnic and cultural equality alongside targeted measures to improve technology accessibility.

Temperature-Responsive Hydrogel System Integrating Wound Temperature Monitoring and On-demand Drug Release for Sequentially Inflammatory Process Regulation of Wound Healing.

Wound healing faces challenges like inflammation, infection, and limited monitoring capabilities, and traditional dressings often lack the ability to promote healing or provide real-time wound status updates. Early pro-inflammatory responses help clear pathogens and damaged tissue, while timely anti-inflammatory modulation aids tissue regeneration, making sequential inflammation regulation crucial. Additionally, wound temperature, a key infection biomarker, enables real-time monitoring for effective management. We propose a temperature-responsive hydrogel dressing capable of two-stage sequential drug release and wound temperature monitoring. The hydrogel, composed of poly(N-isopropylacrylamide) (PNIPAM) and dopamine/methacrylated-modified hyaluronic acid (HA-MA-DA), allows temperature-based drug release control, sequential regulating pro-inflammatory and anti-inflammatory stages in wound healing. Interleukin-8 (IL-8), a pro-inflammatory molecule, is encapsulated into hydrogel matrix and rapidly released to trigger the initial inflammatory response. Furthermore, photothermally responsive and erastin-loaded polydopamine@PNIPAM nanoparticles (E-PD NPs) are incorporated to release the anti-inflammatory drug erastin upon near-infrared light exposure, terminating inflammation through cytosolic burial, and thus achieve anti-inflammatory effects at the second stage of wound healing. Furthermore, a bluetooth module enables real-time wound temperature monitoring. Combining sequential drug release with temperature monitoring, our hydrogel dressing addresses significant gaps in current wound healing technologies and offers new insights into personalized therapeutic interventions.

Transforming Rural Entrepreneurship Through Digital Innovation: A Review on Opportunities, Barriers and Challenges

This paper delves into the transformative impact of digital innovation on rural entrepreneurship, highlighting the opportunities, barriers and challenges rural entrepreneurs face. Digital technologies, including e-commerce platforms, mobile applications, and social media, enable rural entrepreneurs to reach broader markets, enhance operational efficiencies, and develop innovative business models. Despite these benefits, the digital divide—characterised by inadequate technological infrastructure and low digital literacy—presents substantial barriers to these digital advancements. Further complicating the adoption of digital technologies are challenges such as a lack of technological expertise and financial constraints, which impede the full realisation of digital innovation in rural areas. This paper discusses various strategies to overcome the barriers to digital transformation in rural entrepreneurship. The key point among these strategies is the implementation of supportive policies encouraging digital adoption. Investment in digital infrastructure is crucial to bridge the technological gap and provide rural areas with the necessary tools to compete in the digital economy. Additionally, targeted educational programs are essential to improve digital literacy and provide rural entrepreneurs with the skills to effectively leverage digital technologies. The paper underscores the importance of a holistic approach, combining policy support, infrastructure development and education to empower rural entrepreneurs. By adopting these strategies, rural communities can achieve sustainable economic growth, enhance their competitiveness, and improve the quality of life for their residents. Ultimately, this paper aimed to provide a comprehensive understanding of the role of digital innovation in transforming rural entrepreneurship and offered practical solutions to foster inclusive and sustainable economic development.

Key considerations when implementing new diagnostic technologies in routine practice.

The field of pathology is evolving with the integration of advanced and artificial-intelligence-powered diagnostic technologies. However, there remains asignificant gap in clearly outlining the key considerations for the effective implementation of these innovations into clinical care. The aim of this review was to identify and address the essential aspects required to bridge the implementation gap of new diagnostic technologies in pathology. This review synthesizes key elements from relevant scientific journals, organizational websites, and practical examples from pathology practice. The findings are presented as astructured framework of six key elements, supported by an infographic and illustrative cases from clinical settings. The key elements are: (1)Innovation depends more on the people driving it than on the work it demands, highlighting the importance of team collaboration and communication; (2)in-depth knowledge of the delivery system emphasizing the importance of care, IT, and administrative layers is crucial; (3)data-driven decision-making in healthcare transformation is central, with an emphasis on the process of converting real-world data (RWD) into actionable real-world evidence (RWE); (4)aproven approach for practice transformation uses astructured (utilization management strategy, UMS) framework; (5)abalanced approach toward financial sustainability, including local and systemic financial strategies, is important; and (6) ensuring safe and effective progress requires a new, collaborative definition of regulatory science, aligning innovation with regulatory oversight to support technological advancements. These key aspects offer afoundational framework for integrating new technologies into healthcare. Although not exhaustive, overlooking them would miss asignificant opportunity to enhance patient care.

Dementia and Video Games: Systematic and Bibliographic Review.

This systematic and bibliographic review examines publications in the field of dementia and video game research from 2004 to 2023. The main objective is to assess developments and trends in video game technology for dementia care and detection. The PubMed database was the primary source for publications. PRISMA guidelines were applied to structure this review. Ten variables were defined, investigated, and split into three main categories: bibliographic, medical, and technical. The results were synthesized using a quantitative approach to reduce bias through interpretation. Of 209 initial results, 77 publications have been included in the investigation. More studies focus on rehabilitation over assessment and detection of dementia. Clinical trials are typically conducted with limited participants. The most populated trials rarely enrol over 300 subjects. On average, around 38 subjects were enrolled in the trials. These studies are commonly supervised by a trainer or technology specialist, suggesting a technology gap in familiarity in the trial demographic. Most interventions assessed were custom-designed applications with a specific outcome, focusing on physical activity and cognitive exercises. As the first of its kind, this publication focuses on the technical aspects of applied technologies and development methods. Using video games to treat and detect patients with cognitive impairments like dementia can benefit healthcare professionals, caretakers, and patients.

Systematic review of mitigation approaches in Ethiopia's energy sector: Strategies for sustainable development and climate resilience

Abstract The global energy sector is a primary contributor to greenhouse gas (GHG) emissions, predominantly through fossil fuel combustion for electricity, heating, and transportation (IEA, 2021). This study systematically reviews Ethiopia’s energy sector mitigation approaches, focusing on renewable energy strategies and energy efficiency initiatives. While Ethiopia has made significant progress in hydropower, accounting for over 90% of its electricity generation, challenges remain in diversifying its energy mix to include geothermal and wind energy (Ethiopian Ministry of Water, Irrigation, and Energy (2019) and African Development Bank, 2020). The Climate Resilient Green Economy (CRGE) strategy sets ambitious targets for achieving carbon neutrality by 2030, challenges remain in diversifying its energy mix to include geothermal and wind energy (Benti, Woldegiyorgis, et al., 2023 and Federal Democratic Republic of Ethiopia, 2011), yet its implementation faces barriers, including financial constraints, technological gaps, and weak institutional capacity (Silitonga et al., 2020). The study highlights the potential of Ethiopia’s vast renewable energy resources, such as geothermal and wind, to enhance energy security and foster economic growth through job creation. Despite the hurdles, opportunities exist for scaling up mitigation efforts, particularly through public-private partnerships and improved policy frameworks. This review underscores the importance of addressing barriers to achieve a sustainable energy transition in Ethiopia, contributing to local and global climate mitigation goals. Thus, the policymakers should boost investments in solar, wind, and geothermal energy, reduce reliance on hydropower through incentives, and establish an inter-agency task force for policy alignment. And also, exploring green bonds and fostering human capital development through training and partnerships are essential. A strong monitoring and evaluation framework is crucial for tracking progress towards energy sustainability goals.

Advancements and limitations in polygenic risk score methods for genomic prediction: a scoping review.

This scoping review aims to identify and evaluate the landscape of Polygenic Risk Score (PRS)-based methods for genomic prediction from 2013 to 2023, highlighting their advancements, key concepts, and existing gaps in knowledge, research, and technology. Over the past decade, various PRS-based methods have emerged, each employing different statistical frameworks aimed at enhancing prediction accuracy, processing speed and memory efficiency. Despite notable advancements, challenges persist, including unrealistic assumptions regarding sample sizes and the polygenicity of traits necessary for accurate predictions, as well as limitations in exploring hyper-parameter spaces and considering environmental interactions. We included studies focusing on PRS-based methods for risk prediction that underwent methodological evaluations using valid approaches and released computational tools/software. Additionally, we restricted our selection to studies involving human participants that were published in English language. This review followed the standard protocol recommended by Joanna Briggs Institute Reviewer's Manual, systematically searching Ovid MEDLINE, Ovid Embase, Scopus and Web of Science databases. Additionally, searches included grey literature sources like pre-print servers such as bioRxiv, and articles recommended by experts to ensure comprehensive and diverse coverage of relevant records. This study identified 34 studies detailing 37 genomic prediction methods, the majority of which rely on linkage disequilibrium (LD) information and necessitate hyper-parameter tuning. Nine methods integrate functional/gene annotation, while 12 are suitable for cross-ancestry genomic prediction, with only one considering gene-environment (GxE) interaction. While some methods require individual-level data, most leverage summary statistics, offering flexibility. Despite progress, challenges remain. These include computational complexity and the need for large sample sizes for high prediction accuracy. Furthermore, recent methods exhibit varying effectiveness across traits, with absolute accuracies often falling short of clinical utility. Transferability across ancestries varies, influenced by trait heritability and diversity of training data, while handling admixed populations remains challenging. Additionally, the absence of standard error measurements for individual PRSs, crucial in clinical settings, underscores a critical gap. Another issue is the lack of customizable graphical visualization tools among current software packages. While genomic prediction methods have advanced significantly, there is still room for improvement. Addressing current challenges and embracing future research directions will lead to the development of more universally applicable, robust, and clinically relevant genomic prediction tools.

Currency Detection Application for Visually Impaired People

This introduces an image-processing-based mobile application that recognizes currency denominations and is sensitive to voice feedback, assisting visually impaired people. This research bridges a quite broad gap in the available assistive technology, as it is relatively fast and robust in providing a currency-handling solution

The promise and peril of Coding & Robotics education in South Africa: A scoping review of teacher preparation and generative artificial intelligence's potential for delivering equity

Integrating the Coding & Robotics (C&R) subject in South African schools signifies the nation's commitment to Fourth Industrial Revolution preparedness. However, challenges like inadequate teacher preparation and limited technological infrastructure must be addressed to ensure equity. Although Generative Artificial Intelligence (GenAI) may not address the infrastructural deficiencies directly, in this scoping review we examine its potential to complement existing resources and support teachers in delivering C&R instruction. Following Arksey and O'Malley's framework, we conducted a systematic literature search in numerous databases, followed by a screening procedure: 10 of the 61 eligible papers satisfied the inclusion criteria. Our findings reveal that GenAI can optimise C&R teacher development through personalised learning, content generation, feedback on teaching methods, and fostering collaboration with other teachers. Despite its potential, issues including equity, ethical concerns, technological fluency gaps, and overreliance on GenAI tools, must be navigated to enhance equitable C&R instruction and prepare learners for the digital era.

Fully Integrated Passive Wireless Sensor with Mechanical-Electrical Double-Gradient for Multifunctional Healthcare Monitoring.

Accurate, effective, and continuous monitoring of pressure, moisture, and temperature is essential for routine health assessments and professional patient care. In this study, we present a fully integrated multiparameter passive wireless sensor (MWS) that employs a mechanical-electrical dual-gradient structure design. The unique gradient porous structure endows the MWS with significant advantages in terms of detection dimensions (pressure, moisture, and temperature), sensitivity, and stability. Compared to single mechanical gradient designs, the sensor demonstrates 2.6 times higher pressure sensitivity and a 5-tier moisture detection capability. By bridging the technology gap between high-precision multiparameter sensing, wireless communication, and energy management, the MWS is capable of measuring multiple physiological parameters, including breath, ballistocardiograph, moisture, and temperature at multiple points, providing real-time assessments of the physiological state of the subjects. This work offers valuable quantitative insights for caregivers and paves the way for significant advancements in personal healthcare management.

Yield Gap Analysis in Adoption of Production Technology and Economics of Coconut at Farmers Field of Tumkuru District, India

The study was conducted with analysis of yield gap in adoption of production technology and economics of coconut through frontline demonstrations(FLD) at farmer’s field of Tumkur district, Karnataka state during the year from 2017-18 to 2019-20.The demonstrated plot yield obtained through frontline demonstrations was higher (9,932 nuts/ha) than the actual yield obtained by the farmers on their farm under own management practices (7,852 nuts/ha), but lower than the potential yield of coconut (12,300 nuts/ha).The data revealed that the total yield gap between potential yield and actual yield of coconut was 36.16 per cent, in which 20.92 per cent of yield gap between demonstration plot and actual farmers plot yield and 19.25 per cent of technological gap. The maximum number of coconut growers adopted intercropping system (90.00 %) followed by irrigation method (86.66 %), whereas lesser adoption of harvesting of coconuts by coconut climber (26.67 %). More number of farmers were found to increase in adoption per cent of growing of green manure crops & incorporation (56.67 %) and soil sample analysis from coconut plot (53.33 %) and also improved soil fertility status of demonstrated plot as compared to farmers practices. There was significantly increased the yield of coconut (26.49%) after conducted the frontline demonstrations. The gross return, net return and B:C ratio was also found to increased in demonstrated plots as compared to farmers’ practice. The adoption of different production package of practices in coconut shows positive impact on yield and economics of coconut through adoption of demonstrated technology.

Tuning direct-written terahertz metadevices with organic mixed ion-electron conductors

In the past decade, organic mixed ion-electron conductors have been successfully adopted in innovative bioelectronic, neuromorphic, and electro-optical technologies, as well as in multiple energy harvesting and printed electronics applications. However, despite the intense research efforts devoted to these materials, organic mixed conductors have not yet found application in electronic/photonic devices operating in key regions of the electromagnetic spectrum, such as the microwave (>5 GHz) and terahertz (0.1-10 THz) ranges. A possible reason for this technological gap is the widespread notion that organic electronic materials are unsuitable for high-frequency applications. In this work, we demonstrate for the first time the utility of high-performance polymer mixed conductors as electro-active tuning layers in reconfigurable terahertz metasurfaces, achieving modulation performances comparable with state-of-the-art inorganic and 2D semiconductors. Through time-domain terahertz spectroscopy, we show that the large conductivity modulations of these polymers, until now probed only at very low frequencies, are effectively preserved in the terahertz range, leading to optimal metadevice reconfigurability. Finally, we leverage the unique processability of organic materials to develop fully direct-written electrically tuneable metasurfaces onto both rigid and flexible substrates, opening new opportunities for the mass-scale realization of flexible and light-weight terahertz optics with unique mechanical characteristics and environmental footprint.