Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform

Bioelectronic Medicine, Journal Year: 2023, Volume and Issue: 9(1)

Published: Aug. 2, 2023

The fourth industrial revolution has led to the development and application of health monitoring sensors that are characterized by digitalization intelligence. These have extensive applications in medical care, personal management, elderly sports, other fields, providing people with more convenient real-time services. However, these face limitations such as noise drift, difficulty extracting useful information from large amounts data, lack feedback or control signals. artificial intelligence provided powerful tools algorithms for data processing analysis, enabling intelligent monitoring, achieving high-precision predictions decisions. By integrating Internet Things, intelligence, sensors, it becomes possible realize a closed-loop system functions collection, online diagnosis, treatment recommendations. This review focuses on healthcare enhanced technologies aspects materials, device structure, integration, scenarios. Specifically, this first introduces great advances wearable respiration rate, heart pulse, sweat, tears; implantable cardiovascular nerve signal acquisition, neurotransmitter monitoring; soft electronics precise therapy. Then, recent volatile organic compound detection highlighted. Next, current developments human-machine interfaces, AI-enhanced multimode self-sustainable systems reviewed. Last, perspective future directions further research is also provided. In summary, fusion will provide intelligent, convenient, secure services next-generation biomedical applications.

Language: Английский

---

Advances and Applications of Metal‐Organic Frameworks (MOFs) in Emerging Technologies: A Comprehensive Review

Global Challenges, Journal Year: 2023, Volume and Issue: 8(2)

Published: Dec. 30, 2023

Abstract Metal‐organic frameworks (MOFs) that are the wonder material of 21st century consist metal ions/clusters coordinated to organic ligands form one‐ or more‐dimensional porous structures with unprecedented chemical and structural tunability, exceptional thermal stability, ultrahigh porosity, a large surface area, making them an ideal candidate for numerous potential applications. In this work, recent progress in design synthetic approaches MOFs explore their applications fields gas storage separation, catalysis, magnetism, drug delivery, chemical/biosensing, supercapacitors, rechargeable batteries self‐powered wearable sensors based on piezoelectric triboelectric nanogenerators summarized. Lastly, work identifies present challenges outlines future opportunities field, which can provide valuable references.

Language: Английский

---

Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques

Biosensors, Journal Year: 2023, Volume and Issue: 13(3), P. 328 - 328

Published: Feb. 27, 2023

Surface-enhanced Raman spectroscopy/scattering (SERS) has evolved into a popular tool for applications in biology and medicine owing to its ease-of-use, non-destructive, label-free approach. Advances plasmonics instrumentation have enabled the realization of SERS’s full potential trace detection biomolecules, disease diagnostics, monitoring. We provide brief review on recent developments SERS technique biosensing applications, with particular focus machine learning techniques used same. Initially, article discusses need plasmonic sensors advantage over existing techniques. In later sections, are organized as SERS-based diagnosis focusing cancer identification respiratory diseases, including SARS-CoV-2 detection. then discuss progress sensing microorganisms, such bacteria, detecting biohazardous materials view homeland security. At end article, we (a) identification, (b) classification, (c) quantification applications. The covers work from 2010 onwards, language is simplified suit needs interdisciplinary audience.

Language: Английский

---

SERS sensing for cancer biomarker: Approaches and directions

Bioactive Materials, Journal Year: 2023, Volume and Issue: 34, P. 248 - 268

Published: Dec. 31, 2023

These days, cancer is thought to be more than just one illness, with several complex subtypes that require different screening approaches. can distinguished by the distinct markings left metabolites, proteins, miRNA, and DNA. Personalized illness management may possible if categorized according its biomarkers. In order stop from spreading posing a significant risk patient survival, early detection prompt treatment are essential. Traditional techniques tedious, time-consuming, expert personnel for analysis. This has led scientists reevaluate methodologies make use of emerging technologies achieve better results. Using time money saving techniques, these integrate procedures sample preparation in small devices high accuracy sensitivity. With proven potential biomedical use, surface-enhanced Raman scattering (SERS) been widely used biosensing applications, particularly biomarker identification. Consideration was given especially SERS as portable clinical diagnostic tool. The approaches SERS-based sensing both invasive non-invasive samples reviewed this article, along obstacles. Aside constraints approach review also takes into account complexity biological fluids, availability biomarkers, their sensitivity selectivity, which generally lowered. Massive ways maintain capabilities being developed recently get over restriction. known reliable method judgments. Nonetheless, there still room advancement terms portability, creation apps, interdisciplinary AI-based applications. Therefore, we will outline current state technological maturity article. meet demand reviewing various types (invasive non-invasive) biomarkers using SERS. It shed light on growing body research methods application quick detection.

Language: Английский

---

SERS-based microdevices for use as in vitro diagnostic biosensors

Chemical Society Reviews, Journal Year: 2024, Volume and Issue: 53(11), P. 5394 - 5427

Published: Jan. 1, 2024

This review explores various microdevices developed for applying SERS technology to in vitro diagnostics and delves into their clinical applications.

Language: Английский

---

Label‐free surface‐enhanced Raman spectroscopy coupled with machine learning algorithms in pathogenic microbial identification: Current trends, challenges, and perspectives

Deleted Journal, Journal Year: 2024, Volume and Issue: 2(3)

Published: March 5, 2024

Abstract Infectious diseases caused by microbial pathogens remain a primary contributor to global health burdens. Prompt control and effective prevention of these are critical for public medical diagnostics. Conventional detection methods suffer from high complexity, low sensitivity, poor selectivity. Therefore, developing rapid reliable pathogen has become imperative. Surface‐enhanced Raman Spectroscopy (SERS), as an innovative non‐invasive diagnostic technique, holds significant promise in pathogenic microorganism due its rapid, reliable, cost‐effective advantages. This review comprehensively outlines the fundamental theories (RS) with focus on label‐free SERS strategy, reporting latest advancements technique detecting bacteria, viruses, fungi clinical settings. Furthermore, we emphasize application machine learning algorithms spectral analysis. Finally, challenges faced probed, prospective development is discussed.

Language: Английский

---

Advancing SERS as a quantitative technique: challenges, considerations, and correlative approaches to aid validation

Nano Convergence, Journal Year: 2024, Volume and Issue: 11(1)

Published: Aug. 17, 2024

Surface-enhanced Raman scattering (SERS) remains a significant area of research since it's discovery 50 years ago. The surface-based technique has been used in wide variety fields, most prominently chemical detection, cellular imaging and medical diagnostics, offering high sensitivity specificity when probing quantifying chosen analyte or monitoring nanoparticle uptake accumulation. However, despite its promise, SERS is mostly confined to academic laboratories not recognised as gold standard analytical technique. This due the variations that are observed measurements, mainly caused by poorly characterised substrates, lack universal calibration methods uncorrelated results. To convince wider scientific community should be routinely technique, field now focusing on will increase reproducibility signals how validate results with more well-established techniques. review explores difficulties experienced users, adopted reduce variation suggestions best practices strategies if one achieve absolute quantification.

Language: Английский

---

Midinfrared Spectroscopic Analysis of Aqueous Mixtures Using Artificial-Intelligence-Enhanced Metamaterial Waveguide Sensing Platform

ACS Nano, Journal Year: 2022, Volume and Issue: 17(1), P. 711 - 724

Published: Dec. 28, 2022

As miniaturized solutions, mid-infrared (MIR) waveguide sensors are promising for label-free compositional detection of mixtures leveraging plentiful absorption fingerprints. However, the quantitative analysis liquid is still challenging using MIR sensors, as spectrum overlaps multiple organic components accompanied by strong water background. Here, we present an artificial-intelligence-enhanced metamaterial sensing platform (AIMWSP) aqueous mixture in MIR. With sensitivity-improved and assistance machine learning, spectra a ternary can be successfully distinguished decomposed to single-component predicting concentration. A classification accuracy 98.88% 64 mixing ratios 92.86% four concentrations below limit (972 ppm, based on 3σ) with steps 300 ppm realized. Besides, concentration prediction root-mean-squared error varying from 0.107 vol % 1.436 also achieved. Our work indicates potential further extending this spectrometer-on-chip aiming data analytics environments.

Language: Английский

---

Metamaterial grating for colorimetric chemical sensing applications

Materials Today Physics, Journal Year: 2023, Volume and Issue: 33, P. 101056 - 101056

Published: March 23, 2023

Language: Английский

---

Recent Progress in Silicon‐Based Photonic Integrated Circuits and Emerging Applications

Advanced Optical Materials, Journal Year: 2023, Volume and Issue: 11(20)

Published: Sept. 10, 2023

Abstract In recent years, with the further ministration of semiconductor device in integrated circuits, power consumption and data transmission bandwidth have become insurmountable obstacles. As an technology, photonic circuits (PICs) a promising potential post‐Moore era more advantages processing, communication, diversified sensing applications for their ultra‐high process speed low consumption. Silicon photonics is believed to be encouraging solution realize PICs because mature CMOS process. The past decades witnessed huge growth silicon PICs. However, there still demand development enable powerful chip‐scale systems new functionalities. this paper, review components, functional blocks, emerging offered. common components are classified into several sections, including on‐chip light sources, fiber‐to‐chip couplers, resonators, waveguide‐based sensors, photodetectors, modulators. blocks mentioned memories neural networks. Finally, paper concludes study.

Language: Английский

---