Advanced Modelling of Soil Organic Carbon Content in Coal Mining Areas Using Integrated Spectral Analysis: A Dengcao Coal Mine Case Study

International Journal of Innovative Science and Research Technology (IJISRT), Journal Year: 2024, Volume and Issue: unknown, P. 2844 - 2853

Published: June 14, 2024

Effective modelling and integrated spectral analysis approaches can advance precision. To develop an forecast of soil organic carbon (SOC), this research investigated a mining coal in Dengcao Coal Mine Area, Zhengzhou. The study utilizes the Lasso Ranger algorithms were utilized band analysis. Four primary models employed during process include Artificial Neural Network (ANN), Support Vector Machine, Random Forest (RF), Partial Least Squares Regression (PLSR). ideal model was chosen. results showed that, contrast to when collection based on algorithm modelling, precision higher it algorithm. ANN had goodness acceptance, developed by RF steadiest consequences. Based results, distinct method is proposed for assortment at earlier stage SOC. be used check particles, or chosen prediction different statistics sets, which appropriate create SOC content Area. This avails position Analysis Advanced Modelling Soil Organic Carbon Content Sources alongside theoretical foundation innovating portable device assessment habitats. might significant changing monitoring environmental areas.

Language: Английский

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End-to-end design of wearable sensors

Nature Reviews Materials, Journal Year: 2022, Volume and Issue: 7(11), P. 887 - 907

Published: July 22, 2022

Language: Английский

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Advances and applications of nanophotonic biosensors

Nature Nanotechnology, Journal Year: 2022, Volume and Issue: 17(1), P. 5 - 16

Published: Jan. 1, 2022

Language: Английский

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Artificial Intelligence (AI) and Internet of Medical Things (IoMT) Assisted Biomedical Systems for Intelligent Healthcare

Biosensors, Journal Year: 2022, Volume and Issue: 12(8), P. 562 - 562

Published: July 25, 2022

Artificial intelligence (AI) is a modern approach based on computer science that develops programs and algorithms to make devices intelligent efficient for performing tasks usually require skilled human intelligence. AI involves various subsets, including machine learning (ML), deep (DL), conventional neural networks, fuzzy logic, speech recognition, with unique capabilities functionalities can improve the performances of medical sciences. Such systems simplify intervention in clinical diagnosis, imaging, decision-making ability. In same era, Internet Medical Things (IoMT) emerges as next-generation bio-analytical tool combines network-linked biomedical software application advancing health. this review, we discuss importance improving IoMT point-of-care (POC) used advanced healthcare sectors such cardiac measurement, cancer diabetes management. The role supporting robotic surgeries developed applications also discussed article. position functionality, detection accuracy, ability devices, evaluation associated risks assessment carefully critically review. This review encompasses technological engineering challenges prospects AI-based cloud-integrated personalized designing POC suitable healthcare.

Language: Английский

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Skin-Interfaced Wearable Sweat Sensors for Precision Medicine

Chemical Reviews, Journal Year: 2023, Volume and Issue: 123(8), P. 5049 - 5138

Published: March 27, 2023

Wearable sensors hold great potential in empowering personalized health monitoring, predictive analytics, and timely intervention toward healthcare. Advances flexible electronics, materials science, electrochemistry have spurred the development of wearable sweat that enable continuous noninvasive screening analytes indicative status. Existing major challenges include: improving extraction sensing capabilities, form factor device for minimal discomfort reliable measurements when worn, understanding clinical value biomarker discovery. This review provides a comprehensive outlines state-of-the-art technologies research strive to bridge these gaps. The physiology sweat, materials, biosensing mechanisms advances, approaches induction sampling are introduced. Additionally, design considerations system-level devices, spanning from strategies prolonged efficient powering wearables, discussed. Furthermore, applications, data commercialization efforts, challenges, prospects precision medicine

Language: Английский

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Wearable chemical sensors for biomarker discovery in the omics era

Nature Reviews Chemistry, Journal Year: 2022, Volume and Issue: 6(12), P. 899 - 915

Published: Nov. 15, 2022

Language: Английский

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Review—An Overview on Recent Progress in Screen-Printed Electroanalytical (Bio)Sensors

ECS Sensors Plus, Journal Year: 2022, Volume and Issue: 1(2), P. 023401 - 023401

Published: May 18, 2022

Portability is one of the essential keys in development modern analytical devices. Screen printing technology an established for both chemical and biosensor development. has been used to generate a variety electronic sensors that are rapid, cost-effective, on-site, real-time, inexpensive, practical use healthcare, environmental monitoring, industrial agricultural monitoring. This review aims describe recent research progress related improvement screen-printed electrodes (SPEs). We also demonstrate wide range applications, highlighting market directions need novel devices be by non-specialists. Finally, we conclude provide overview constraints future opportunities SPEs application.

Language: Английский

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Nanotechnology-Enabled Biosensors: A Review of Fundamentals, Design Principles, Materials, and Applications

Biosensors, Journal Year: 2022, Volume and Issue: 13(1), P. 40 - 40

Published: Dec. 27, 2022

Biosensors are modern engineering tools that can be widely used for various technological applications. In the recent past, biosensors have been in a broad application spectrum including industrial process control, military, environmental monitoring, health care, microbiology, and food quality control. also specifically monitoring pollution, detecting toxic elements’ presence, presence of bio-hazardous viruses or bacteria organic matter, biomolecule detection clinical diagnostics. Moreover, deep medical applications such as well-being chronic disease treatment, vitro examination studies screening infectious diseases early detection. The scope expanding use is very high owing to their inherent advantages ease use, scalability, simple manufacturing process. Biosensor technology more prevalent large-scale, low cost, enhanced field. Integration nanotechnology with has shown development path novel sensing mechanisms they enhance performance ability currently biosensors. Nanoscale dimensional integration promotes formulation rapid molecules along single biomolecules where evaluated analyzed critically. Nanomaterials nano-biosensors nanomaterials commonly include nanoparticles, nanowires, carbon nanotubes (CNTs), nanorods, quantum dots (QDs). possess color tunability, sensitivity, large surface area, carrier capacity, stability, thermal electrical conductivity. current review focuses on nanotechnology-enabled biosensors, fundamentals, architectural design. expands view materials fabricating probable

Language: Английский

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Two-Dimensional Field-Effect Transistor Sensors: The Road toward Commercialization

Chemical Reviews, Journal Year: 2022, Volume and Issue: 122(11), P. 10319 - 10392

Published: April 12, 2022

The evolutionary success in information technology has been sustained by the rapid growth of sensor technology. Recently, advances have promoted ambitious requirement to build intelligent systems that can be controlled external stimuli along with independent operation, adaptivity, and low energy expenditure. Among various sensing techniques, field-effect transistors (FETs) channels made two-dimensional (2D) materials attract increasing attention for advantages such as label-free detection, fast response, easy capability integration. With atomic thickness, 2D restrict carrier flow within material surface expose it directly environment, leading efficient signal acquisition conversion. This review summarizes latest 2D-materials-based FET (2D FET) sensors a comprehensive manner contains material, operating principles, fabrication technologies, proof-of-concept applications, prototypes. First, brief description background fundamentals is provided. subsequent contents summarize physical, chemical, biological their applications. Then, we highlight challenges commercialization discuss corresponding solution techniques. following section presents systematic survey recent progress developing commercial Lastly, long-standing efforts prospective future development FET-based toward commercialization.

Language: Английский

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Wearable and Mobile Sensors for Personalized Nutrition

ACS Sensors, Journal Year: 2021, Volume and Issue: 6(5), P. 1745 - 1760

Published: May 19, 2021

While wearable and mobile chemical sensors have experienced tremendous growth over the past decade, their potential for tracking guiding nutrition has emerged only three years. Currently, guidelines from doctors dietitians represent most common approach maintaining optimal status. However, such recommendations rely on population averages do not take into account individual variability in responding to nutrients. Precision recently address large heterogeneity individuals' responses diet, by tailoring based specific requirements of each person. It aims at preventing managing diseases formulating personalized dietary interventions individuals basis metabolic profile, background, environmental exposure. Recent advances digital technology, including calories-counting apps motion devices, lack ability monitoring molecular level. The realization effective precision requires synergy different sensor modalities order make timely reliable predictions efficient feedback. This work reviews key opportunities challenges toward successful platforms. Non-invasive electrochemical sensors, capable temporal variations upon intake food supplements, are excellent candidates bridge gap between biochemical analyses a approach. By providing (previously unavailable) information, offer guidance necessary supporting behavior change managed nutritional balance. Coupling rapidly emerging sensing devices—generating enormous dynamic analytical data—with data-fusion data-mining methods that identify patterns is expected revolutionize decision-making nutrition.

Language: Английский

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