Vittayakorn, Naratip

Preferred name

Alternative Name

Vittayakorn, N.

Vittayakorn, Narathip

Main Affiliation

School of Science

naratip.vi@kmitl.ac.th

Now showing 1 - 10 of 27

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Mechanoluminescent-energy harvesting bimodal sensors for self-powered communication sensors
(2025-09-26)
Hajra, Sugato
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Panda, Swati
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Kaja, Kushal Ruthvik
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Song, Seongkyu
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Ryu, Yeonkyeong
Mechanoluminescence (ML) is the emission of light triggered by mechanical stress. In the meantime, accurate, quantitative force measurement is made possible by piezoelectricity, which transforms mechanical deformation into electrical signals. A deep insight into the mechanical interactions, such as strain-based phenomena, is achieved by integrating ML and piezoelectricity into a single device. In this study, a composite based on ZnS:Cu–polydimethylsiloxane (PDMS) is developed to achieve this dual functionality for ML-based optical responses and piezoelectric-based electrical output. The presence of piezoelectricity in PDMS–ZnS:Cu composites was traced using piezo force microscopy (PFM) imaging. Various mechanical stimuli of pressing, stretching, and bending are applied to evaluate the performance of the device. Under a force of 5 N, the piezoelectric nanogenerator (PENG) device generates a voltage of 17 V and a current of 70 nA. Additionally, ML and PENG effects are employed for underwater communications. A signal processing technique is further utilized for the classification of voltage signals produced during underwater communications. This self-powered dual-mode sensor has great potential for use in energy harvesting, wearable technology, and battery-free systems, opening the door to more intelligent and responsive user interfaces.
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Calcium Copper Titanate Particles Based Energy Harvesting and Removal of Pharmaceutical Pollutants
(2025-05-13)
Kaja, Kushal Ruthvik
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Behera, Swayam Aryam
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Das, Bhagyashree
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Hajra, Sugato
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Panda, Swati
In this work, calcium copper titanate oxide (CaCu<inf>3</inf>Ti<inf>4</inf>O<inf>12</inf>, abbreviated as CCTO) was processed employing a solid-state reaction. The properties of CCTO were thoroughly characterized using various characterization tools. The CCTO particles layer and polytetrafluoroethylene (PTFE) acted as triboelectric layers, forming a contact and separation-based triboelectric nanogenerator (TENG). TENG, based on CCTO/PTFE, delivered an output of 74 V and 6 μA. TENG was utilized to harvest energy through various human activities, effectively charging capacitors, and was further attached to a pillow to monitor sleep. The study also evaluated the photocatalytic performance of CCTO for the degradation of doxycycline, achieving 87% efficiency within 45 minutes under visible light. The reaction pathway was thoroughly investigated, and catalyst reusability was examined. CCTO demonstrates potential as a dual-function material, serving both as a photocatalyst for environmental cleanup and as a triboelectric material for energy harvesting.
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The Y3+ Donor-Doped CCTO (Ca0.95Y0.05Cu3Ti4O12) Dielectric Fillers for Electrical Output Enhancement of Flexible Triboelectric Nanogenerator
(2026-06-03)
Saichompoo, Kittipan
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Rattanawongwiboon, Thitirat
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Kingkam, Wilasinee
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Pakawanit, Phakkhananan
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Sukkha, Usa
The escalating wearable electronic devices with their flexible energy sources demand has rendered the imperative scientific challenge on the development of materials for the flexible triboelectric nanogenerators (F-TENG), one of advanced energy harvesting systems. Dielectric material optimization, the Y3+ donor-doped calcium copper titanate based on exactly stoichiometric Ca<inf>0.95</inf>Y<inf>0.05</inf>Cu<inf>3</inf>Ti<inf>4</inf>O<inf>12</inf> (CCTYO), serves as a critical pathway in this work for achieving enhanced F-TENG via compositing with the polydimethylsiloxane (PDMS) polymer. The enhancement of electrical output has garnered substantial interest owing to its increased relative permittivity ((Formula presented.)). The influence of the loaded CCTYO amounts on structure, morphologies, dielectric properties, and electrical output, including open-circuit voltage (V<inf>OC</inf>), short-circuit current (I<inf>SC</inf>) and power density for PDMS/CCTYO composites is investigated. As compared with loading undoped CCTO, the additional Y3+ can improve higher F-TENG output by increasing the (Formula presented.) along with maintaining the loss tangent (tan δ < 0.02) at optimized condition. The appropriate amounts of CCTYO 0.75 wt% make the PDMS/CCTYO F-TENG to achieve V<inf>OC</inf> of ∼76.4 V (8.5 V/cm2) and I<inf>SC</inf> of ∼130.0 μA (14.4 μA/cm2), which were higher than pristine PDMS for 2.7 and 4.3 times. The power density of 53 µW/cm2 is 8.9 times higher than that of 6.3 µW/cm2 from the pristine PDMS. This study also provides a COMSOL multiphysics simulation, bridging laboratory experiments, for quantifying the triboelectric capability of dielectric materials.
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Continuous tremor monitoring in Parkinson's disease: A wristwatch-inspired triboelectric sensor approach
(2024-12-20)
Ukasi, Sirinya
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Pongampai, Satana
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Panigrahi, Basanta Kumar
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Panda, Swati
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Hajra, Sugato
Parkinson's disease (PD) prevalence is projected to reach 12 million by 2040. Wearable sensors offer a promising approach for comfortable, continuous tremor monitoring to optimize treatment strategies. Here, we present a wristwatch-like triboelectric sensor (WW-TES) inspired by automatic watches for unobtrusive PD tremor assessment. The WW-TES utilizes a free-standing design with a surface-modified polytetrafluoroethylene (PTFE) film and a stainless-steel rotor within a biocompatible polylactic acid (PLA) package. Electrode distance is optimized to maximize the output signal. We propose and discuss the WW-TES working mechanism. The final design is validated for activities of daily living (ADLs), with varying signal amplitudes corresponding to tremor severity levels (“normal” to “severe”) based on MDS-UPDRS tremor frequency. Wavelet packet transform (WPT) is employed for signal analysis during ADLs. The WW-TES demonstrates the potential for continuous tremor monitoring, offering an accurate screening of severity and comfortable, unobtrusive wearability.
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Advances in nanogenerator enabled smart mask-based self-powered health monitoring units
(2025-11-21)
Belal, Mohamed A.
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Panda, Swati
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Khanapuram, Udaykumar
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Hajra, Sugato
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Kaja, Kushal Ruthvik
The detection and analysis of volatile biomarkers in exhaled breath have emerged as promising non-invasive strategies for early disease diagnosis, therapeutic monitoring, and personalized healthcare. Traditional gas sensing platforms, however, often face limitations including dependency on external power sources, bulky designs, and inadequate sensitivity or selectivity under physiological conditions. This work provides a complete overview of recent improvements in self-powered gas sensors, with a special emphasis on their use in exhaled breath analysis for health monitoring. We begin by discussing the biomedical importance of breath-based diagnostics and the significant challenges associated with traditional sensor technology. Afterward, we investigate the mechanisms of energy harvesting systems such as triboelectric nanogenerators (TENGs) and piezoelectric nanogenerators (PENGs), which facilitate the self-powered operation without an external energy supply. Innovations in materials, structural design techniques, and integration strategies that improve mechanical flexibility, sensitivity, and gas selectivity are highlighted. We also highlight recent breakthroughs in wearable and portable gas sensing platforms that demonstrate real-time responsiveness and human-interfaced compatibility. Despite significant progress, challenges such as miniaturization, biomarker specificity, signal stability in dynamic environments, and large-scale manufacturability still need to be addressed. Finally, we discuss potential ways to address these barriers, envisioning a future where self-powered gas sensors play a transformative role in point-of-care diagnostics, continuous health monitoring, and smart healthcare ecosystems. This review aims to serve as a valuable resource for researchers and developers seeking to advance the field of self-powered biomedical sensing technologies.
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Synergistic Piezo- and Triboelectricity in a Novel Triglycine Sulfate/Bacterial Cellulose/Chitosan Flexible Composite Nanogenerator
(2025-08-14)
Ukasi, Sirinya
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Saichompoo, Kittipan
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Sae-tang, Chanachot
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Pakawanit, Phakkhananan
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Pongampai, Satana
Organic piezoelectric materials offer sustainable alternatives for mechanical energy harvesting (MEH), yet their potential remains underexplored compared to inorganic counterparts. This study pioneers the use of triglycine sulfate (TGS), a rarely studied organic piezoelectric, within a flexible three-phase composite with bacterial cellulose (BC) and chitosan (CS) for piezoelectric (PENG) and triboelectric (TENG) nanogenerators. Unlike widely researched systems, TGS's unique hybrid organic–inorganic nature is leveraged here for the first time in MEH. Optimized at a 50:50 BC:CS ratio with 40 wt.% TGS, achieves a TENG output of 141.2 V and 93.3 µA post-poling—1.8 and 2.4 fold higher than unpoled samples—driven by TGS's dipole alignment. Separately, the configuration utilizing a 5 wt.% TGS loading yields 13.7 V and 0.19 µA. Advanced characterization (ATR-FTIR, SR-XTM) and simulations (COMSOL, DFT) reveal TGS's synergy with BC/CS roughness, enhancing charge generation. Delivering 118.65 µW cm−2, the TENG (from the 40 wt.% TGS poled sample) powers a digital watch, showcasing practical promise. This work not only introduces TGS as a novel MEH candidate but also provides mechanistic insights into its polarization, advancing bio-hybrid nanogenerator design.
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Flexible and Self-Powered Wearable Sensors for Tremor Monitoring in Parkinson'S Disease: Recent Advances in Materials and Device Architectures
(2026-01-01)
Ukasi, Sirinya
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Hajra, Sugato
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Kim, Hoe Joon
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Sriphan, Saichon
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Pongampai, Satana
Parkinson's disease (PD) is a progressive neurodegenerative disorder where tremor remains one of the most prominent and disabling motor symptoms. Traditional clinical rating scales for disease severity rely on clinician observation and patient self-report, often failing to capture the dynamic and continuous nature of tremors in daily life. This drives the development of objective monitoring technologies, such as wearable sensors, for more accurate evaluation of PD severity. However, many existing systems use rigid materials that lack the mechanical compliance and skin conformability required for stable biointegration. This review summarizes advances in flexible wearable sensors for PD tremor assessment from material innovations to a device engineering perspective, covering inertial measurement units (IMUs), electromyography (EMG), and emerging self-powered systems such as triboelectric (TENG) and piezoelectric nanogenerators (PENG). This review highlightshow functional materials, microstructural design, and device architectures govern sensing mechanisms and performance, with particular emphasis on the transition from rigid components to soft, skin-interfaced technologies. Recent patent activity reflects a shift toward multimodal, wireless, and clinically integrated platforms. Despite progress, challenges remain, including motion artifacts, durability, and limited large-scale clinical validation. Integration of flexible materials, self-powered designs, and AI-driven analytics enables continuous, personalized monitoring, moving closer to real-world clinical deployment and improved patient care.
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Triboelectric nanogenerator for self-powered traffic monitoring
(2024-05-01)
Behera, Swayam Aryam
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Kim, Hang Gyeom
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Jang, Il Ryu
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Hajra, Sugato
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Panda, Swati
This work aims to create energy-harvesting composites using poly(ethylene-co-vinyl acetate) EVA, lead zirconate titanate (PZT) and polyaniline (PANI) composites. The novelty lies in the fabrication of a triboelectric nanogenerator (TENG) using EVA-PZT-PANI composites. These composites combine the flexibility of EVA polymer with the electricity-generating power of PZT ceramic and the conductivity of PANI. Systematic investigation of the structural, electrical, and microstructural properties of these composites is carried out to optimize their energy-harvesting performance. Among various compositions, the EVP3 device demonstrates exceptional output, generating a peak voltage of 17.8 V and a current of 190 nA at 2 Hz and 5 N applied force. The TENG demonstrates its versatility in harvesting energy from various sources by powering capacitors and collecting energy from human motions. Moreover, we show the potential application of the TENG for real-time traffic monitoring. By embedding the TENG into roads, we can measure car speeds and serve as a traffic management counter, opening up new possibilities for self-powered intelligent transportation systems.
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High-Performance Droplet-Based Triboelectric Nanogenerators: A Comparison of Device Configuration and Operating Parameters
(2025-05-06)
Chaithaweep, Kanokwan
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Pharino, Utchawadee
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Pongampai, Satana
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Hajra, Sugato
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Kim, Hoe Joon
Droplet-based electricity generators (DEGs) harness liquid-solid electrification to convert water droplets impacts into electrical energy. This study systematically examines how droplet height, droplet volume, flow rate, and substrate tilt angle influence DEG performance using polytetrafluoroethylene (PTFE) as a triboelectric layer and deionized water. Three electrode designs (double, top, bottom) are evaluated, revealing that the double-electrode configuration delivers the highest output. This enhanced performance arises from synergistic droplet motion, electrical double-layer formation, and charge discharge, as validated by an equivalent circuit model. By varying droplet heights from 1–20 cm, volumes of 7.7–50 µL, flow rates of 50–300 drops/min, and tilt angles of 0–90°, an optimized setup yields −70 V and 22 mA, translating to a power density of 0.28 µW cm−2. High-speed imaging correlates these outputs with droplet impact dynamics and the resulting charge transfer. Additionally, the optimized DEG can power small electronic devices, charge capacitors, and monitor artificial acid rain in real-time, displaying distinct electrical signals compared to typical rainwater. These findings underscore the potential of DEGs as renewable energy harvesters and smart environmental sensors, paving the way for advanced on-demand power generation in diverse settings.
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Recent Advances in Zwitterionic Materials and Hydrogels for Triboelectric Nanogenerators and Self-Powered Sensing
(2025-08-08)
Manojkumar, Kaliyannan
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Muthuramalingam, Mukilan
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Sateesh, Dhara
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Sundaramoorthy, Arunmetha
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Srinivasa Babu, P. S.
The integration of zwitterionic polymers with triboelectric nanogenerators (TENGs) has sparked significant interest in the conversion of mechanical energy into electricity. Zwitterionic polymers, characterized by their unique molecular structure featuring dual charge configurations, have revolutionized energy harvesting in TENG technology. This review explores recent advancements in the integration of zwitterionic polymers with TENGs, focusing on their applications in self-healing, antibacterial, flexible, and antifreezing scenarios. Despite offering superior properties such as enhanced output voltage and chemical stability, challenges persist in their synthesis complexity and compatibility. Strategies to address these challenges include the development of hybrid material systems and scalable synthesis methods. Overall, this review emphasizes the pivotal role of zwitterionic polymers in propelling the advancement of TENG technology, providing insights into current trends and future prospects.

Vittayakorn, Naratip

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