Nose-on-Chip Nanobiosensors for Early Detection of Lung Cancer Breath Biomarkers

ACS Sensors, Journal Year: 2024, Volume and Issue: 9(9), P. 4469 - 4494

Published: Sept. 9, 2024

Lung cancer remains a global health concern, demanding the development of noninvasive, prompt, selective, and point-of-care diagnostic tools. Correspondingly, breath analysis using nanobiosensors has emerged as promising noninvasive nose-on-chip technique for early detection lung through monitoring diversified biomarkers such volatile organic compounds/gases in exhaled breath. This comprehensive review summarizes state-of-the-art breath-based diagnosis employing chemiresistive-module supported by theoretical findings. It unveils fundamental mechanisms biological basis biomarker generation associated with cancer, technological advancements, clinical implementation nanobiosensor-based analysis. explores merits, challenges, potential alternate solutions implementing these settings, including standardization, biocompatibility/toxicity analysis, green sustainable technologies, life-cycle assessment, scheming regulatory modalities. highlights nanobiosensors' role facilitating precise, real-time, on-site leading to improved patient outcomes, enhanced management, remote personalized monitoring. Additionally, integrating biosensors artificial intelligence, machine learning, Internet-of-things, bioinformatics, omics technologies is discussed, providing insights into prospects intelligent sniffing nanobiosensors. Overall, this consolidates knowledge on breathomic biosensor-based screening, shedding light its significance applications advancing medical diagnostics reduce burden hospitals save human lives.

Language: Английский

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Sensors, society, and sustainability

Sustainable materials and technologies, Journal Year: 2024, Volume and Issue: 40, P. e00952 - e00952

Published: April 26, 2024

Language: Английский

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Synergizing Nanomaterials and Artificial Intelligence in Advanced Optical Biosensors for Precision Antimicrobial Resistance Diagnosis

ACS Synthetic Biology, Journal Year: 2024, Volume and Issue: 13(6), P. 1600 - 1620

Published: June 6, 2024

Antimicrobial resistance (AMR) poses a critical global One Health concern, ensuing from unintentional and continuous exposure to antibiotics, as well challenges in accurate contagion diagnostics. Addressing AMR requires strategic approach that emphasizes early stage prevention through screening clinical, environmental, farming, livestock settings identify nonvulnerable antimicrobial agents the associated genes. Conventional diagnostics, like antibiotic susceptibility testing, possess drawbacks, including high costs, time-consuming processes, significant manpower requirements, underscoring need for intelligent, prompt, on-site diagnostic techniques. Nanoenabled artificial intelligence (AI)-supported smart optical biosensors present potential solution by facilitating rapid point-of-care detection with real-time, sensitive, portable capabilities. This Review comprehensively explores various types of nanobiosensors, such surface plasmon resonance sensors, whispering-gallery mode coherence tomography, interference reflection imaging surface-enhanced Raman spectroscopy, fluorescence microring tweezer biosensors, By harnessing unique advantages these nanoenabled revolutionary paradigm shift diagnostics can be achieved, characterized results, sensitivity, portability, integration Internet-of-Things (IoT) technologies. Moreover, enable personalized monitoring detection, significantly reducing turnaround time eliminating human resources needed sample preservation transportation. Their holistic environmental surveillance further enhances capabilities diverse settings, leading improved modern-age healthcare practices more effective management treatments. Embracing advanced tools promises bolster capacity combat safeguard Health.

Language: Английский

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Fate of Sniff-the-Diseases Through Nanomaterials-Supported Optical Biochip Sensors

ECS Journal of Solid State Science and Technology, Journal Year: 2024, Volume and Issue: 13(4), P. 047004 - 047004

Published: April 1, 2024

Early diagnosis through noninvasive tools is a cornerstone in the realm of personalized and medical healthcare, averting direct/indirect infection transmission directly influencing treatment outcomes patient survival rates. In this context, optical biochip breathomic sensors integrated with nanomaterials, microfluidics, artificial intelligence exhibit potential to design next-generation intelligent diagnostics. This cutting-edge tool offers variety advantages, including being economical, compact, smart, point care, highly sensitive, noninvasive. makes it an ideal avenue for screening, diagnosing, prognosing various high-risk diseases/disorders by detecting associated breath biomarkers. The underlying detection mechanism relies on interaction biomarkers sensors, which causes modulations fundamental attributes, such as surface plasmon resonance, fluorescence, reflectance, absorption, emission, phosphorescence, refractive index. Despite these remarkable commercial development faces challenges, insufficient support from clinical trials, concerns about cross-sensitivity, challenges related production scalability, validation issues, regulatory compliance, contrasts conventional perspective article sheds light state disease diagnosis, addresses proposes alternative solutions, explores future avenues revolutionize healthcare

Language: Английский

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Interdisciplinary Approach to Monkeypox Prevention: Integrating Nanobiosensors, Nanovaccines, Artificial Intelligence, Visual Arts, and Social Sciences

Small Structures, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 19, 2025

To effectively address crisis emergence of new virus such as monkeypox, a collective and collaborative effort between scientists, engineers, innovators, artists from all ages, regions, diverse fields is required. This review explores holistic approach to addressing the monkeypox by integrating nanobiosensors, artificial intelligence, visual arts, humanities, social sciences. Traditional diagnostic methods are often limited time, accessibility, accuracy, but advancement point‐of‐care smart nanobiosensors offers promising shift toward rapid, precise, accessible diagnostics. They enhance ability screen, diagnose, monitor infections efficiently, contributing better disease management. Beyond technological innovation, essential role sciences in fostering public engagement, understanding, acceptance tools emphasized. Visual arts can illustrate scientific concepts, making them more relatable, while storytelling through various media reduce stigma promote preventive measures. Social provide insights into cultural attitudes, behaviors, health challenges, ensuring that solutions integrated communities. By combining these disciplines, this presents comprehensive framework for resilient global system aligns with One Health principles, emphasizing interconnectedness human, animal, environmental health.

Language: Английский

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Exploring bio-nanomaterials as antibiotic allies to combat antimicrobial resistance

Biofabrication, Journal Year: 2024, Volume and Issue: 16(4), P. 042007 - 042007

Published: Aug. 5, 2024

Abstract Antimicrobial resistance (AMR) poses an emergent threat to global health due antibiotic abuse, overuse and misuse, necessitating urgent innovative sustainable solutions. The utilization of bio-nanomaterials as allies is a green, economic, renewable strategy combat this pressing issue. These biomaterials involve green precursors (e.g. biowaste, plant extracts, essential oil, microbes, agricultural residue) techniques for their fabrication, which reduce cyto/environmental toxicity exhibit economic manufacturing, enabling waste-to-wealth circular economy module. Their nanoscale dimensions with augmented biocompatibility characterize offer distinctive advantages in addressing AMR. ability target pathogens, such bacteria viruses, at the molecular level, coupled diverse functionalities bio-functionality doping from natural precursors, allows multifaceted approach resistance. Furthermore, can be tailored enhance efficacy existing antimicrobial agents or deliver novel therapies, presenting versatile platform innovation. use combination traditional antibiotics mitigate mechanisms, prolong effectiveness treatments, side effects. This review aims shed light on potential countering AMR, related applications various domains. roles encompass co-therapy, nanoencapsulation, stewardship, each offering distinct avenue overcoming Besides, it addresses challenges associated bio-nanomaterials, emphasizing importance regulatory considerations. are near future One Health Care, will have non-polluting, non-toxic, anti-resistant, biocompatible, degradable, repurposable avenues, contributing development goals.

Language: Английский

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Review—Machine Learning-Driven Advances in Electrochemical Sensing: A Horizon Scan

Journal of The Electrochemical Society, Journal Year: 2024, Volume and Issue: 171(9), P. 097503 - 097503

Published: Aug. 5, 2024

The burgeoning intersection of machine learning (ML) with electrochemical sensing heralds a transformative era in analytical science, pushing the boundaries what’s possible detecting and quantifying chemical substances unprecedented precision efficiency. This convergence has accelerated number discoveries, improving sensors’ sensitivity, selectivity, ability to comprehend complicated data streams real-time. Such advancements are crucial across various applications, from monitoring health biomarkers environmental pollutants ensuring industrial safety. Yet, this integration is not without its challenges; it necessitates navigating intricate ethical considerations around use, robust privacy measures, developing specialized software tools that balance accessibility security. As field progresses, addressing these challenges head-on essential for harnessing full potential ML-enhanced sensing. review briefly explores dimensions, spotlighting significant technological strides, landscape, dynamic interplay between open-source proprietary solutions while also casting forward gaze at promising future directions interdisciplinary venture.

Language: Английский

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Comparative Analysis of Machine Learning Algorithms Used for Translating Aptamer-Antigen Binding Kinetic Profiles to Diagnostic Decisions

ACS Sensors, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 27, 2025

Current approaches for classifying biosensor data in diagnostics rely on fixed decision thresholds based receiver operating characteristic (ROC) curves, which can be limited accuracy complex and variable signals. To address these limitations, we developed a framework that facilitates the application of machine learning (ML) to diagnostic binary classification clinical samples, when using real-time electrochemical measurements. The was applied multimeric aptamer assay (RT-MAp) captures single-frequency (12.6 Hz) impedance during binding viral protein targets trimeric aptamers. collected from 172 COVID-19 saliva samples were processed through multiple nonlinear regression models extract nine key features transient These then used train three supervised ML algorithms─support vector (SVM), artificial neural network (ANN), random forest (RF)─using 75:25 training-testing ratio. Traditional ROC-based achieved an 83.6%, while ML-based significantly improved performance, with SVM, ANN, RF achieving accuracies 86.0%, 100%, respectively. ANN model demonstrated superior performance handling high-variance data, providing robust scalable solution improving point-of-care settings.

Language: Английский

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MXene-Based Electrochemical Biosensors: Advancing Detection Strategies for Biosensing (2020–2024)

Biosensors, Journal Year: 2025, Volume and Issue: 15(3), P. 127 - 127

Published: Feb. 20, 2025

MXenes, a class of two-dimensional materials, have emerged as promising candidates for developing advanced electrochemical biosensors due to their exceptional electrical conductivity, large surface area, and rich chemistry. These unique properties enable high sensitivity, rapid response, versatile functionalization, making MXene-based highly suitable detecting biomolecules pathogens in biomedical applications. This review explores recent advancements from 2020 2024, focusing on design principles, fabrication strategies, integration with microfluidic platforms enhanced performance. The potential MXene sensors achieve real-time multiplexed detection is highlighted, alongside the associated challenges. Emphasis placed role MXenes addressing critical needs disease diagnostics, personalized medicine, point-of-care testing, providing insights into future trends transformative possibilities field sensing technologies.

Language: Английский

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Advances in cell-based biosensors: Transforming food flavor evaluation with novel approaches

Food Chemistry X, Journal Year: 2025, Volume and Issue: 26, P. 102336 - 102336

Published: Feb. 1, 2025

Food flavor, a blend of taste and smell, is key to consumer acceptance food quality. Traditional sensory instrumental methods often fail replicate human responses. This review discusses the role cell-based biosensors in flavor evaluation, showcasing their sensitivity, specificity, rapid response. Using living cells like olfactory cells, these surpass traditional approaches. Advancements include microelectrode array systems with receptor for real-time detection bitter, sweet, umami substances improved cell immobilization technologies detecting complex odorant profiles. Challenges such as signal stability, selective detection, cultivation, scalability persist. However, integrating artificial intelligence portable could broaden applications. With potential revolutionize analysis, offer sustainable, precise, scalable approach bridging perception advanced analytical driving innovation science.

Language: Английский

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