Nanosensor Technology Research Articles

APPLICATION OF NANOSENSOR BASED SCREEN PRINTED ELECTRODE FOR ANALYSIS OF ARTIFICIAL SWEETENER FOR PHARMACISTS AND ANALYST IN PONTIANAK

The development of nanotechnology in the world is very rapid, and the applications of nanotechnology can be felt in various fields in everyday life. For instance, to control food, nanotechnology plays a role in creating early detection tools for food additives, which are known to be dangerous if consumed by humans in excess, such as the presence of colorants that are not permitted or food additives that exceed tolerance limits. Nanosensors based on screen print electrodes (SPE) are devices that can be used for detection with various notable properties such as fast, sensitive and portable. Seeing the importance of developing and down streaming nanotechnology to society, education regarding the role of nanotechnology needs to be carried out. In this activity, nanotechnology applied in the manufacture of nanosensor devices was introduced, especially to analysts at the drug and food control center and the health service. Apart from that, through this activity, sustainable collaboration can be established between the community service team who are researchers in the field of nanosensors and users in the field who are drug and food regulatory bodies, to develop nanosensor technology according to needs in the field. This activity will be carried out in Pontianak, West Kalimantan, specifically aimed at pharmacists and analysts in the drug and food control center, health service, and industry and trade service (Disperindag). This activity will include education about nanotechnology applications in various fields as well as a demonstration on the use of SPE-based naosensor devices. From this event, in future the analyst may do the analysis in field without waiting long time analysis in laboratory. From this community service activities, scientific articles and publications can be produced in print/electronic media, as well as videos of community service activities, in accordance with the main performance indicators determined nationally.

Digital Image Colorimetric Detection of H2O2 Utilizing PEG/Ag/AgO Nanoparticles Derived from Tangerine Leaf Extract

Recent developments in biosensors based on digital platforms have primarily focused on enhancing rapid detection, flexibility, and selectivity through the utilization of nanomaterials. Despite these advances, the complexity of image colorimetric measurements continues to be a subject of interest. This study focused on the development of a new digital image colorimetric biosensor for real-time quantification of hydrogen peroxide (H2O2). The designed nanostructure-based sensor showed excellent selectivity and sensitivity, utilizing polyethylene glycol/Silver/Silver(II) oxide nanoparticles obtained from tangerine leaf extract (TLE/PEG/Ag/AgO NPs). The sensor's performance was validated using Ag/AgO NPs derived from tangerine leaf extract (TLE), demonstrating remarkable selectivity and sensitivity using a Red-Green-Blue (RGB)--based approach. Based on digital image colorimetric measurements of TLE/PEG/Ag/AgO NPs, a system for determining H2O2 was established in a linear range of 2.0–100.0 μmol/L with a low limit of detection (LOD) of 1.82 μmol/L. This study not only presented a facile strategy for the design of the digital image colorimetric TLE/PEG/Ag/AgO NPs-based biosensor but also shed light on the remarkable potential of smartphone sensing devices based on nanosensor technology. These sensors offer fresh perspectives and multidisciplinary approaches to visually sensitive sensing in a range of applications, such as biomedical diagnostics, security screening, and environmental monitoring.

Review on emerging applications of nanobiosensor in food safety.

Nanosensors have become an indispensable tool in the food sector due to their specificity and sensitivity. The biosensor consists of a transducer coupled with a biorecognition component to transform biological signal into digital signal. Nanobiosensors have been widely used for sensing toxic chemicals such as pesticide residues and pathogenic microbes owing to their accurate sensitivity in an affordable manner, which gives more hope to the food industry on their applications. It employs nanocarriers to bind to impurities and pollutants, as well as food-borne microorganisms and their resulting toxins, such as mycotoxins. This modern technology ensures food safety in food processing industries. Nowadays, nanoparticle-immobilized sensors act as spot indicators to improve smart food packing technology. Certain types of nanobiosensors are deployed to monitor food product manufacture till packaging and to check the freshness of the product till spoilage identification. They are mainly using enzyme catalysts, which are highly sensitive to extreme environmental conditions. As a result, there is a greater evaluation requirement in nanosensor technology to adopt any temperature, pH, or other difficult parameters. Its stability, while in contact with food substrates, is another criterion that needs to be regularized. Within this framework, this review delves into the latest developments in nanobiosensors and the obstacles encountered during their use across different food industries.

Design of Bio-Optical Transceiver for In Vivo Biomedical Sensor Applications.

This paper presents an enhanced version of our previously developed bio-optical transceiver, presenting a significant advancement in nanosensor technology. Using self-assembled polymers, this nanodevice is capable of electron detection while maintaining biocompatibility, an essential feature for in vivo medical biosensors. This enhancement finds significance in the field of infectious disease control, particularly in the early detection of respiratory viruses, including high-threat pathogens such as SARS-CoV-2. The proposed system harnesses bioluminescence by converting electric signaling to visible blue light, effectively opening the path of linking nano-sized mechanisms to larger-scale systems, thereby pushing the boundaries of in vivo biomedical sensing. The performance evaluation of our technology is analytical and is based on the use of Markov chains, through which we assess the bit error probability. The calculated improvements indicate that this technology qualifies as a forerunner in terms of supporting the communication needs of smaller, safer, and more efficient manufactured sensor technologies for in vivo medical applications.

Nanosensors in Pesticide Residue Detection in Grapes

Pesticide residues in grapes pose significant risks to human health and necessitate the development of efficient detection methods to ensure food safety. In recent years, nanosensor technology has emerged as a promising approach for sensitive and reliable pesticide residue detection. This review article provides a comprehensive overview of the recent advancements in nanosensor-based detection methods for pesticide residues in grapes. The article discusses various types of nanosensors employed for pesticide residue detection, including nanostructured materials, nanomaterial-based sensors, and nano biosensors. Nanostructured materials, such as nanoparticles, nanowires, and nanocomposites, offer unique properties that enable high sensitivity and selectivity in detecting pesticide residues. Nanomaterial-based sensors, such as carbon-based, metal-based, and semiconductor-based sensors, provide excellent electrical and optical properties for precise and rapid detection. Furthermore, nano biosensors, including enzymatic and DNA-based sensors, offer specificity and sensitivity through bio-recognition elements. Challenges and future perspectives in the field are discussed, including the standardization and validation of nanosensor-based methods, cost-effectiveness, scalability, integration with portable devices and the Internet of Things (IoT), as well as environmental and regulatory considerations. This review summarizes key findings, discusses the potential impact of nanosensors on the grape industry, and identifies future research directions for further advancement and implementation of nanosensor-based detection methods.

Nanosensors from Logistics and Supply Chain Perspective: A Literature Review

Introduction: Nanosensors are one of the most recent technologies obtained from the nanoworld. They have enhanced properties with potential applications in a wide spectrum of sectors. They exhibit exceptional properties in temperature monitoring, hazardous gas and vapor detection, humidity detection, as well as pathogens, toxins, and chemical contaminant detection. Among various nanosensor applications, one of the most recent usages of nanosensor technology is in logistics and supply chain management (SCM). Aim: This study aims at investigating the potential of nanosensor technology from logistics & SCM perspective, and specifically questions how can this technology contribute to food supply chains. Method: A systematic comprehensive literature review was conducted with the keywords: nanosensors & logistics, nanosensors & supply chain, nanosensors & smart packaging, and nanosensors & food logistics for the date range 2001-2022, covering a broad set of references. Findings revealed that nanosensors have significant potential in providing smart packaging, and improving traceability and visibility across all the logistics and SCM processes including end-to-end transportation and storage activities Result: Hybrids of different types of nanosensors with the existing material identification systems provide new levels of traceability and visibility in SCM, enabling accurate tracking of a variety of parameters. The study has shown that the intersection of nanotechnology and logistics & SCM domains is still immature. Conclusion: This intersection is especially critical for food supply chains for meeting their special traceability requirements, and for serving food safety and organic food traceability across all stages of logistics.

Autonomous Quadruple Spider Robot for Surveillance and Exploration with Advanced 3D Mapping

This research introduces an advanced quadruple spider robot designed for 3D mapping, utilizing Arduino Nano, ESP32, and LIDAR sensor technology. The integration of these components allows the robot to navigate and scan its surroundings, producing precise three-dimensional maps in real-time. The Arduino Nano serves as the microcontroller, while the ESP32 provides robust wireless communication capabilities. LIDAR technology ensures accurate distance measurement, enabling the robot to adapt efficiently to various environments. This innovative platform showcases significant potential for applications in surveillance, exploration, and disaster response. By leveraging the synergy between Arduino, ESP32, and LIDAR, the robot enhances spatial understanding and decision-making processes, offering a versatile solution for autonomous operations. The robot's real-time 3D mapping capabilities make it a valuable asset in scenarios requiring detailed environmental analysis and prompt situational awareness. This research underscores the effectiveness of combining microcontroller technology with advanced sensors to develop autonomous robotic systems capable of operating in diverse and challenging conditions. The practical implications of this technology extend to improving safety, efficiency, and operational effectiveness in critical missions.

Advancements in nanomaterials for nanosensors: a comprehensive review.

Nanomaterials (NMs) exhibit unique properties that render them highly suitable for developing sensitive and selective nanosensors across various domains. This review aims to provide a comprehensive overview of nanomaterial-based nanosensors, highlighting their applications and the classification of frequently employed NMs to enhance sensitivity and selectivity. The review introduces various classifications of NMs commonly used in nanosensors, such as carbon-based NMs, metal-based NMs, and others, elucidating their exceptional properties, including high thermal and electrical conductivity, large surface area-to-volume ratio and good biocompatibility. A thorough examination of literature sources was conducted to gather information on NMs-based nanosensors' characteristics, properties, and fabrication methods and their application in diverse sectors such as healthcare, environmental monitoring, industrial processes, and security. Additionally, advanced applications incorporating machine learning techniques were analyzed to enhance the sensor's performance. This review advances the understanding and development of nanosensor technologies by providing insights into fabrication techniques, characterization methods, applications, and future outlook. Key challenges such as robustness, biocompatibility, and scalable manufacturing are also discussed, offering avenues for future research and development in this field.

Advances in Machine‐Learning Enhanced Nanosensors: From Cloud Artificial Intelligence Toward Future Edge Computing at Chip Level

Machine‐learning‐enhanced nanosensors are rapidly emerging as a promising solution in the field of sensor technology, as traditional sensors encounter limitations of data analysis in their development. Since the inception of machine‐learning algorithms being applied to enhance nanosensors, they have gained significant attention due to their adaptive and predictive capabilities, which promise to dramatically improve efficiency in data collection and processing applications. Herein, a comprehensive overview of technological innovation is provided by reviewing the latest developments in cloud computing, edge computing, and the burgeoning realm of neuromorphic computing. Cloud computing has emerged as a powerhouse, harnessing formidable computational capabilities to process vast volumes of high‐dimensional data. Then, the research directions for various applications of these cloud artificial intelligence (AI)‐enhanced nanosensors are outlined. Moreover, the integration of AI and nanosensor technology into chip‐level edge computing, although promising, still faces challenges such as energy‐efficient hardware development, algorithm optimization, and scalability for mass production. Finally, a forward‐looking perspective on the future of machine‐learning‐enhanced nanosensors is provided, delineating the challenges and opportunities for further research and innovation in this exciting field.

Influence of storage conditions, packaging, post-harvest technology, nanotechnology and molecular approaches on shelf life of microgreens

Microgreens have achieved importance recently due to their high nutritive value, easiness of cultivation and year round availability. However, being very tender and having high moisture content, their shelf life is too short. Studies show that the physical quality, chemical quality and shelf life deterioration in post harvest of micro greens can be improved with effective storage conditions, packaging matters, nanoparticle application, physiological treatments and molecular approaches. Low ambient or storage temperature and effective storage system improve and sustain the shelf life, and quality and restrict microbial activity in micro greens. Packaging with bioplastic clamshell, cardboard clamshell, bioplastic pouch, kraft paper box, or classified polymer upgrades the shelf life and reduce antimicrobial activity under controlled temperature. The interventions with nanoparticles such as nano packaging, nano coatings and nano bubble modify the shelf life and quality and forbids microbial outbreak, solvent discharge and unstable gaseous exchange. The real time signal processing nano sensor technology can detect pesticides, pathogens, toxic materials, contaminants, and microbes in microgreens. The emission of light emitting diodes with stable ratio of wavelength extends shelf life. High carbon dioxide and low oxygen pressure at 5 °C temperature exhibits control respiration rate and prolonged shelf life. The standard packaging materials and post harvest technology may be recognized for extending shelf life and quality in harvested microgreens. The integration of molecular tools can be used to screen genome, replication, transcription, translation, post translation and gene regulation for shelf life improvement and desired traits.

Single-Molecule Methane Sensing Using Palladium-Functionalized nIR Fluorescent Single-Walled Carbon Nanotubes.

There has been considerable interest in detecting atmospheric and process-associated methane (CH4) at low concentrations due to its potency as a greenhouse gas. Nanosensor technology, particularly fluorescent single-walled carbon nanotube (SWCNT) arrays, is promising for such applications because of their chemical sensitivities at single-molecule detection limits. However, the methodologies for connecting the stochastic molecular fluctuations from gas impingement on such sensors require further development. In this work, we synthesize Pd-conjugated ss(GT)15-DNA-wrapped SWCNTas near-infrared (nIR) fluorescent, single-molecule sensors of CH4. The complexes are characterized using X-ray photoelectron spectroscopy (XPS) and spectrophotometry, demonstrating spectral changes between the Pd2+ and Pd0 oxidation states. The nIR fluctuations generated upon exposure from 8 to 26 ppb of CH4 were separated into high- and low-frequency components. Aggregating the low-frequency components for an array of sensors showed the most consistent levels of detection with a limit of 0.7 ppb. These results advance the hardware and computational methods necessary to apply this approach to the challenge of environmental methane sensing.

(Invited) Carbon Nanotube Photoluminescence for Cancer Research and Diagnosis

New technologies are needed for the early detection of cancer and the identification of therapeutic vulnerabilities in cancers. Our laboratory develops optical nanosensor technologies using carbon nanotubes, including sensors that identify disease fingerprints in serum, diagnostic implants to facilitate longitudinal detection of cancer biomarkers, and assays for cancer drug development. These methods employ the photoluminescence of single-walled carbon nanotube (SWCNTs) and covalent sp3 quantum well defects on SWCNTs, aka organic color centers (OCCs), that introduce new chemical sensitivities. To introduce new detection technologies using OCC-modified SWCNTs, we developed new supramolecular functionalization methods, as well as new types of optical instrumentation to detect changes in near-infrared emission within biological and clinical samples. We harnessed OCC-modified SWCNTs for the detection of metabolic changes in live cells and tissues, disease biomarkers in situ via implants, and overall disease states, aided by machine learning processes.

Developing and demonstrating nanosensor technology—Detecting pollutants (EPA)

Developing and demonstrating nanosensor technology—Detecting pollutants (EPA)

AN OVERVIEW OF NANOSENSORS AND THEIR POTENTIAL APPLICATIONS : PERSPECTIVES AND PROSPECTS

Advancements in nanomaterials and enhancement in fabrication techniques have made it possible for nanosensors and nanotechnology to reach a wide spectrum of applications. This review briefs the broader aspects of physical, chemical, optical, and biological sensors and their fabrication methods. The types of nanosensors mentioned in the article are used to detect specific characteristics over several applications varying from biological and chemical to automotive and aerospace industries. This study provides an overview of present nanosensor technologies, and it also gives the reader an idea of what the future beholds for this crucial segment of nanotechnology. The study also provides an overview of the findings achieved in the use-specific detections that vary from existing processes.

Breath Volatile Organic Compounds in Surveillance of Gastric Cancer Patients following Radical Surgical Management.

As of today, there is a lack of a perfect non-invasive test for the surveillance of patients for potential relapse following curative treatment. Breath volatile organic compounds (VOCs) have been demonstrated to be an accurate diagnostic tool for gastric cancer (GC) detection; here, we aimed to prove the yield of the markers in surveillance, i.e., following curative surgical management. Patients were sampled in regular intervals before and within 3 years following curative surgery for GC; gas chromatography-mass spectrometry (GC-MS) and nanosensor technologies were used for the VOC assessment. GC-MS measurements revealed a single VOC (14b-Pregnane) that significantly decreased at 12 months, and three VOCs (Isochiapin B, Dotriacontane, Threitol, 2-O-octyl-) that decreased at 18 months following surgery. The nanomaterial-based sensors S9 and S14 revealed changes in the breath VOC content 9 months after surgery. Our study results confirm the cancer origin of the particular VOCs, as well as suggest the value of breath VOC testing for cancer patient surveillance, either during the treatment phase or thereafter, for potential relapse.

Nanosensor technologies and the digital transformation of healthcare.

Nanosensors are nanoscale devices that measure physical attributes and convert these signals into analyzable information. In preparation, for the impending reality of nanosensors in clinical practice, we confront important questions regarding the evidence supporting widespread device use. Our objectives are to demonstrate the value and implications for new nanosensors as they relate to the next phase of remote patient monitoring and to apply lessons learned from digital health devices through real-world examples.

An Activity-Based Nanosensor for Minimally-Invasive Measurement of Protease Activity in Traumatic Brain Injury.

Current screening and diagnostic tools for traumatic brain injury (TBI) have limitations in sensitivity and prognostication. Aberrant protease activity is a central process that drives disease progression in TBI and is associated with worsened prognosis; thus direct measurements of protease activity could provide more diagnostic information. In this study, a nanosensor is engineered to release a measurable signal into the blood and urine in response to activity from the TBI-associated protease calpain. Readouts from the nanosensor were designed to be compatible with ELISA and lateral flow assays, clinically-relevant assay modalities. In a mouse model of TBI, the nanosensor sensitivity is enhanced when ligands that target hyaluronic acid are added. In evaluation of mice with mild or severe injuries, the nanosensor identifies mild TBI with a higher sensitivity than the biomarker GFAP. This nanosensor technology allows for measurement of TBI-associated proteases without the need to directly access brain tissue, and has the potential to complement existing TBI diagnostic tools.

Exhaled Biomarkers for Point-of-Care Diagnosis: Recent Advances and New Challenges in Breathomics

Cancers, chronic diseases and respiratory infections are major causes of mortality and present diagnostic and therapeutic challenges for health care. There is an unmet medical need for non-invasive, easy-to-use biomarkers for the early diagnosis, phenotyping, predicting and monitoring of the therapeutic responses of these disorders. Exhaled breath sampling is an attractive choice that has gained attention in recent years. Exhaled nitric oxide measurement used as a predictive biomarker of the response to anti-eosinophil therapy in severe asthma has paved the way for other exhaled breath biomarkers. Advances in laser and nanosensor technologies and spectrometry together with widespread use of algorithms and artificial intelligence have facilitated research on volatile organic compounds and artificial olfaction systems to develop new exhaled biomarkers. We aim to provide an overview of the recent advances in and challenges of exhaled biomarker measurements with an emphasis on the applicability of their measurement as a non-invasive, point-of-care diagnostic and monitoring tool.

Retracted: An Enhancement on Convolutional Artificial Intelligent Based Diagnosis for Skin Disease Using Nanotechnology Sensors.

[This retracts the article DOI: 10.1155/2022/9539503.].

Nanosensor Technology to Detect Monitor and Degrade Pollutants (EPA)

Nanosensor Technology to Detect Monitor and Degrade Pollutants (EPA)