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Biosensor Boosts Disease Detection with Unmatched Sensitivity for 1-MNA
Kanazawa University researchers developed a biosensor with 700x greater sensitivity for detecting 1-MNA, enhancing disease diagnosis, drug discovery, and monitoring cancer and liver conditions.
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Applied Technology Review | Thursday, June 11, 2026
FREMONT CA,: Researchers at the Nano Life Science Institute (WPI-NanoLSI) of Kanazawa University have unveiled an innovative biosensor that significantly enhances the detection of 1-methyl nicotinamide (1-MNA), a metabolite linked to various diseases, including cancer, metabolic disorders, and liver conditions. This innovation, published in Analytical Chemistry, represents a leap forward in disease diagnosis by offering improved sensitivity and accessibility compared to traditional methods like mass spectrometry and nuclear magnetic resonance (NMR).
Addressing Limitations of Traditional Detection Methods
Metabolites such as 1-MNA, by-products of bodily processes, serve as critical biomarkers for diagnosing and monitoring diseases. Elevated levels of 1-MNA are associated with increased nicotinamide N-methyltransferase (NNMT) activity, a process linked to the progression of aggressive cancers and metabolic disorders. While effective, current detection methods rely on expensive equipment and complex sample preparation, limiting their use in routine clinical diagnostics.
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Seeking a more efficient solution, researchers Masaya Ueno, Tomoki Ogoshi, and Atsushi Hirao explored pillararenes—a class of macrocyclic molecules known for their versatility in chemical sensing. By leveraging these molecules, the team developed a novel biosensor capable of detecting 1-MNA with significantly higher sensitivity and reduced complexity.
Enhanced Detection with Sulfonated Pillar [6]arene (P6AS)
In their latest work, the research team introduced a sulfonate-functionalized variant of pillar [6]arene (P6AS), which exhibits a binding affinity for 1-MNA that is 700 times greater than its predecessor, carboxylated pillar[6]arene (P6AC). This dramatic increase in sensitivity allows for detecting sub-micromolar concentrations of 1-MNA directly in unpurified urine samples.
Unlike earlier iterations, which required extensive sample purification and could not detect micromolar concentrations of 1-MNA in cell culture supernatants, the P6AS biosensor circumvents these limitations. It delivers precise results without complex preparation steps, making it a practical option for real-world diagnostic applications.
Potential Applications in Disease Diagnosis and Drug Development
The ability to measure 1-MNA levels accurately has profound clinical implications. Elevated NNMT activity is a hallmark of various cancers, and its suppression has shown promise in alleviating certain disease symptoms. By quantifying 1-MNA levels, healthcare providers can gain insights into NNMT activity, aiding in disease diagnosis and monitoring.
Moreover, the P6AS biosensor's high-throughput capabilities open new doors for drug discovery. The device's efficiency could expedite the screening of potential NNMT inhibitors, paving the way for novel treatments for diseases such as liver disease and cancer.
Despite its advantages, the biosensor does have limitations. While it performs well with urine samples, autofluorescence in human serum poses challenges for accurate detection. Researchers are optimistic that further refinements will address these issues, broadening the sensor’s applicability to more sample types.
Implications for Broader Healthcare Innovation
The improved sensitivity of the P6AS biosensor stems from the stronger acidity of its sulfonate groups compared to the carboxylate groups in earlier versions. This breakthrough not only enhances diagnostic precision but also has the potential to transform how diseases linked to NNMT activity are understood and treated.
“Monitoring NNMT expression and activity by quantifying 1-MNA is critical for elucidating patient pathology,” the researchers emphasized. They envision their biosensor as a tool for clinical diagnostics and advanced research, including in vivo imaging of cancer cells and high-throughput drug screening.
Future Directions and Optimism
While traditional methods like mass spectrometry remain the gold standard for detecting nanomolar concentrations, the accessibility and efficiency of the P6AS biosensor position it as a game-changer in diagnostic technology. The team believes that further refinement could unlock even greater potential, including applications in advanced imaging and real-time monitoring of disease progression.
“Further improvement of our strategy will contribute to high-throughput screening of NNMT inhibitors, diagnosis of liver diseases, and imaging of human cancer cells in vivo,” the researchers concluded.
This cutting-edge biosensor not only simplifies disease detection but also marks a significant step toward making diagnostic technologies more accessible. With its potential to improve diagnostics and treatment options, the P6AS biosensor promises to be a vital tool in the fight against cancer, liver disease, and other conditions linked to elevated 1-MNA levels.
London : The 3rd edition of the London Climate Technology Show concluded last week, paving a vital roadmap towards fully decarbonising our planet through sustainable technologies. The event brought together policymakers, eco-technology leaders, industry professionals, and innovators, all unified in their call for an immediate shift to sustainable and green solutions to secure a better future for the planet.
The two-day event opened on 27th November with an inspiring keynote by Felicity Burch, Executive Director of the Responsible Technology Adoption Unit at the Department for Science, Innovation, and Technology (DSIT), who spoke about AI Innovation in Clean Energy and the DSIT's Manchester Prize . Following her, Ing. Abigail Cutajar, CEO of the Climate Action Authority, talked about Pioneering the Surge Towards Climate and Energy Transitions.
The conference unfolded over two dynamic days, featuring a packed agenda of insightful presentations and engaging panel discussions. It delved into actionable strategies for decarbonisation, advancements in AgriTech, the evolving carbon market, eco-funds, energy, CCS, built environment and other groundbreaking innovations in climate technology.
Notable discussions highlighted the need for farmers to balance carbon stewardship with food production over the next few decades, the importance of consistent government policies to enable businesses to plan and innovate effectively, and the urgency of addressing digital and engineering skill shortages to ensure a successful green energy transition. Industry experts also called for common sustainability metrics to measure corporate efforts fairly, emphasized the value of collaboration over competition to accelerate the green transition, and underscored the need for farmers to access landscape-level data to enhance biodiversity.
The exhibition hall featured groundbreaking innovations and solutions in sustainability and climate technology, including carbon capture and storage (CCS) from companies like CGI and Terra CO2 Technology, carbon management and accounting solutions by Greenly and Gaia Carbon Accounting, and emerging climate technologies from innovators such as Nabla Flow and Luna 9. Other exhibitors showcased AI-driven solutions, sustainable energy systems, and innovative carbon reduction technologies, presenting a comprehensive snapshot of the future of climate tech.
#CTS24 also hosted interactive side events, including startup acceleration programs and hands-on workshops, providing participants with opportunities for learning, networking, and collaboration. These sessions empowered attendees to adopt transformative technologies and take decisive climate action.
Attendee Experiences
The event received overwhelming positive feedback:
● Mark Haley , Co-founder of Cero3, shared, "We’re so proud to have unveiled our sustainable travel planner. The feedback and interest exceeded our expectations."
● Satyajit Mohanan , Projects and Business Development Coordinator at Cambridge Cleantech, remarked, "It was a pleasure to be part of this event. I met amazing people and look forward to the next edition."
● Dennis Chacko , Senior Sales Manager at the British Board of Agreement, shared his excitement over a unique sustainable pen: "Once used, you can plant it to grow something new—a powerful reminder of how everyday items can contribute to a greener future."
As this successful edition concludes, the organisers are already planning for a bigger, more impactful 4th Edition , with expanded content and greater opportunities to drive meaningful change toward a sustainable future.
...Read more
The increasing human population and demand for clothing are inevitable, but manufacturers must balance their efforts without overextending themselves. AI can help meet demand without exceeding supply, ensuring the sustainability of the planet's finite resources.
Apparel manufacturing uses AI in the following ways:
Enhancing the grading of materials: Although the human eye is a remarkable instrument, it is also fallible. Grading yarn and other base materials are one area where AI improves quality control (QC).
As a result of applying AI to this area, cost savings are realized, and the fundamental materials used in apparel manufacturing can be graded more precisely. Thus, AI can maintain a higher standard for materials than humans alone, thereby increasing the quality of finished garments.
Increasing the accuracy of final product inspections: A piece of fruit can even be discerned from its skin if it has been bruised through machine learning and computer vision.
Textiles and apparel manufacturing are equally inspiring applications. The condition and salability of newly made and previously worn garments can be assessed by algorithms coupled with specialty illumination systems. By measuring the amount of light that is transmitted and reflected, AI can determine whether a piece of fabric or a garment meets current quality standards at a glance.
The likelihood of Type I and Type II errors in a manufacturing setting was 17.8 percent and 29.8 percent, respectively. In the former case, inspectors miss real defects, while in the latter, false positives are made.
Apparel manufacturers can keep costs and errors down by using AI-powered automated inspection software. Identifying substandard yarn early in the manufacturing process can deliver value throughout the supply chain.
A tailor-made solution for the apparel industry: Artificial intelligence
Another area where AI can shine is sustainable and customized manufacturing. To facilitate cheaper and less resource-intensive custom clothing manufacturing, modern imaging techniques allow end-users to create 3D renderings of their bodies. ...Read more
Practical technology is catalyzing sector convergence, which entails the dissolution of conventional distinctions among diverse industries. This phenomenon fosters novel business paradigms, value constellations, and prospects, enabling organizations to harness technologies and proficiencies beyond their primary domain.
Key Technological Catalysts
Several transformative technologies are serving as the primary drivers of industry convergence, providing the infrastructure and capabilities that enable cross-sector collaboration and the creation of new value. The Internet of Things (IoT) connects physical assets to digital networks, generating vast streams of data that integrate physical and virtual operations. For example, smartwatches and fitness trackers, initially consumer electronics, now serve the healthcare sector by supporting remote patient monitoring and preventative care. Artificial Intelligence (AI) and Machine Learning (ML) build on this data by enabling advanced analytics, driving smarter decision-making, and delivering hyper-personalized services across various industries. Retailers utilize AI to predict consumer trends, optimize supply chains, and personalize shopping experiences. At the same time, financial institutions leverage it for fraud detection and algorithmic trading, thereby blurring the boundaries between technology and traditional banking. Blockchain adds another dimension by offering a secure, transparent framework for managing transactions and data across multiple parties, streamlining cross-sector collaboration in areas such as supply chain management by reducing reliance on intermediaries. The rollout of 5G connectivity provides the speed and low latency necessary to support these technologies at scale, enabling real-time communication between devices and seamless integration across various industries. Autonomous vehicles, for instance, depend on instantaneous connectivity with smart city infrastructure and other cars, exemplifying the convergence of automotive, telecommunications, and urban planning.
Impact on Business and Society
Sector convergence is profoundly altering conventional business paradigms. A single product or service no longer defines enterprises; instead, they are evolving into comprehensive ecosystems that deliver an array of integrated solutions. This evolution fosters novel opportunities for innovation, concurrently introducing complexities such as navigating intricate regulatory frameworks and managing data privacy across disparate sectors. From a consumer perspective, this convergence facilitates enhanced convenience, personalization, and seamless experiences; however, it also raises concerns regarding data security and market dominance. As the trajectory of applied technology continues its advancement, the demarcations between industries will inevitably diminish, thereby ushering in a future characterized by interconnected and integrated services.
Ultimately, applied technology transcends mere efficiency; it represents a fundamental force for change, reshaping the very structure of our economy. The future will be defined by ecosystems of integrated services, where companies succeed not by dominating a single sector, but by seamlessly connecting their offerings with others. This era of convergence promises unprecedented innovation and convenience for consumers. Yet, it also necessitates a proactive approach from businesses and policymakers to navigate the challenges of regulation, data privacy, and market power. Embracing this paradigm shift is crucial for companies seeking to develop in a world where the distinctions between sectors no longer exist. ...Read more
SCADA systems have long formed the backbone of industrial automation. They play a central role in many processes, from manufacturing to utility management, providing an overview and regulation. With the advancement of technology, the future looks set to change considerably for SCADA systems. Emerging trends redefine how SCADA works, further enhancing its capabilities and integrating it into the bigger context of industrial technology.
As it has evolved, SCADA has become integrated with the Internet of Things (IoT), generating massive data that leads to better decisions and process optimization. SCADA systems have begun integrating with IoT devices to provide more accurate and timely data across numerous inputs, improving operational efficiency and giving more profound insights into system performance.
It is revolutionizing the industry by adopting scalable, flexible, and cost-effective solutions that are much sought after by industrial requirements. These enable remote access to system data and controls, making management and troubleshooting easier. The shift towards the cloud has improved data storage and analysis capabilities for robust analytics and historical data review.
Cybersecurity is essential because SCADA systems are rapidly intertwining with other digital platforms. With increased cyber threats today, more security systems are needed to protect sensitive industrial information and ensure the system's integrity. Future SCADA systems will likely incorporate more complex cybersecurity features, including advanced encryptions, multi-factor authentication, and continuous monitoring against potential threats. Advanced security protocols would be crucial in protecting these systems from cyberattacks while ensuring the dependability of critical infrastructure.
AI and machine learning are also increasingly making headlines in the future of SCADA systems. AI algorithms can read vast volumes of data generated by SCADA systems to identify trends, predict when a piece of equipment needs to be serviced, and optimize all related processes. AI-powered predictive analytics can help prevent equipment failures, minimize time loss, and enhance system efficiency. Thus, AI in SCADA has marked a significant milestone in managing industrial processes more proactively, intelligently, and streamlined.
The trend toward edge computing impacts SCADA systems. Edge computing is a form of data processing closer to the source rather than being sent to the centralized cloud or data center. Since this reduces latency and improves response times, it also reduces the amount of data needing to be transmitted over networks. This can enhance SCADA's real-time monitoring and control, making management decisions more efficient. ...Read more