An Update on the Use of Natural Pigments and Pigment Nanoparticle Adducts for Metal Detection Based on Colour Response DOI Creative Commons

Raspati Dewi Mulyaningsih,

Rimadani Pratiwi, Aliya Nur Hasanah

et al.

Biosensors, Journal Year: 2023, Volume and Issue: 13(5), P. 554 - 554

Published: May 18, 2023

Natural pigments occur in plants as secondary metabolites and have been used safe colourants food. Studies reported that their unstable colour intensity might be related to metal ion interaction, which leads the formation of metal–pigment complexes. This underlines need for further investigations on use natural detection using colorimetric methods, since metals are important elements can hazardous when present large amounts. review aimed discuss (mainly betalains, anthocyanins, curcuminoids, carotenoids, chlorophyll) reagents portable based limits detection, determine pigment is best certain metals. Colorimetric-related articles over last decade were gathered, including those involving methodological modifications, sensor developments, a general overview. When considering sensitivity portability, results revealed betalains applied copper, smartphone-assisted sensor; curcuminoids lead, curcumin nanofiber; anthocyanin mercury, hydrogel. provides new perspective instability with modern developments. In addition, coloured sheet representing concentrations may useful standard support on-site trials masking agents improve selectivity.

Language: Английский

Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence DOI Creative Commons

Bangfeng Wang,

Yiwei Li, Mengfan Zhou

et al.

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: March 11, 2023

Abstract The frequent outbreak of global infectious diseases has prompted the development rapid and effective diagnostic tools for early screening potential patients in point-of-care testing scenarios. With advances mobile computing power microfluidic technology, smartphone-based health platform drawn significant attention from researchers developing devices that integrate optical detection with artificial intelligence analysis. In this article, we summarize recent progress these platforms, including aspects chips, imaging modalities, supporting components, software algorithms. We document application platforms terms objects, molecules, viruses, cells, parasites. Finally, discuss prospects future platforms.

Language: Английский

Citations

114

Skin-interfaced microfluidic systems with spatially engineered 3D fluidics for sweat capture and analysis DOI Creative Commons
Chung-Han Wu,

Howin Jian Hing,

Paul Baessler

et al.

Science Advances, Journal Year: 2023, Volume and Issue: 9(18)

Published: May 3, 2023

Skin-interfaced wearable systems with integrated microfluidic structures and sensing capabilities offer powerful platforms for monitoring the signals arising from natural physiological processes. This paper introduces a set of strategies, processing approaches, designs that harness recent advances in additive manufacturing [three-dimensional (3D) printing] to establish unique class epidermal ("epifluidic") devices. A 3D printed epifluidic platform, called "sweatainer," demonstrates potential true design space microfluidics through fabrication fluidic components previously inaccessible complex architectures. These concepts support integration colorimetric assays facilitate situ biomarker analysis operating mode analogous traditional systems. The sweatainer system enables new sweat collection, termed multidraw, which facilitates collection multiple, independent samples either on-body or external analysis. Field studies demonstrate practical these concepts.

Language: Английский

Citations

42

Computer vision meets microfluidics: a label-free method for high-throughput cell analysis DOI Creative Commons
Shizheng Zhou, Bingbing Chen,

Edgar S. Fu

et al.

Microsystems & Nanoengineering, Journal Year: 2023, Volume and Issue: 9(1)

Published: Sept. 21, 2023

In this paper, we review the integration of microfluidic chips and computer vision, which has great potential to advance research in life sciences biology, particularly analysis cell imaging data. Microfluidic enable generation large amounts visual data at single-cell level, while vision techniques can rapidly process analyze these extract valuable information about cellular health function. One key advantages integrative approach is that it allows for noninvasive low-damage characterization, important studying delicate or fragile microbial cells. The use provides a highly controlled environment growth manipulation, minimizes experimental variability improves accuracy analysis. Computer be used recognize target species within heterogeneous populations, understanding physiological status cells complex biological systems. As hardware artificial intelligence algorithms continue improve, expected become an increasingly powerful tool situ microelectromechanical devices combination with could development label-free, automatic, low-cost, fast recognition high-throughput responses different compounds, broad applications fields such as drug discovery, diagnostics, personalized medicine.

Language: Английский

Citations

31

Design of Highly Efficient Electronic Energy Transfer in Functionalized Quantum Dots Driven Specifically by Ethylenediamine DOI Creative Commons

Wenfei Ren,

Ji‐Guang Li,

Baiyi Zu

et al.

JACS Au, Journal Year: 2024, Volume and Issue: 4(2), P. 545 - 556

Published: Jan. 23, 2024

The exploration of emerging functionalized quantum dots (QDs) through modulating the effective interaction between sensing element and target analyte is great significance for high-performance trace sensing. Here, chromone-based ligand grafted QDs (QDs-Chromone) were initiated to realize electronic energy transfer (EET) driven specifically by ethylenediamine (EDA) in absence spectral overlap. fluorescent colorimetric dual-mode responses (from red blue from colorless yellow, respectively) resulting expanded conjugated ligands reinforced analytical selectivity, endowing an ultrasensitive specific response submicromolar-liquid EDA. In addition, a QDs-Chromone-based chip was constructed achieve recognition EDA vapor with naked-eye observed at concentration as low 10 ppm, well robust anti-interfering ability complicated scenarios monitoring. We expect proposed EET strategy shaping will shine light on both rational probe design methodology deep mechanism exploration.

Language: Английский

Citations

11

A comprehensive review on applications of Raspberry Pi DOI Creative Commons
Sudha Ellison Mathe, Hari Kishan Kondaveeti, Suseela Vappangi

et al.

Computer Science Review, Journal Year: 2024, Volume and Issue: 52, P. 100636 - 100636

Published: May 1, 2024

Raspberry Pi is an invaluable and popular prototyping tool in scientific research for experimenting with a wide variety of ideas, ranging from simple to complex projects. This review article explores how used various studies, discussing its pros cons along applications domains such as home automation, agriculture, healthcare, industrial control, advanced research. Our aim provide useful resource researchers, educators, students, product developers, enthusiasts, helping them grasp the current status discover new possibilities using Pi.

Language: Английский

Citations

10

Colorimetric Detection of SARS-CoV-2 Using Plasmonic Biosensors and Smartphones DOI
Elsa M. Materón, Faustino Reyes Gómez, Mariana Bortholazzi Almeida

et al.

ACS Applied Materials & Interfaces, Journal Year: 2022, Volume and Issue: 14(49), P. 54527 - 54538

Published: Dec. 1, 2022

Low-cost, instrument-free colorimetric tests were developed to detect SARS-CoV-2 using plasmonic biosensors with Au nanoparticles functionalized polyclonal antibodies (f-AuNPs). Intense color changes noted the naked eye owing plasmon coupling when f-AuNPs form clusters on virus, high sensitivity and a detection limit of 0.28 PFU mL-1 (PFU stands for plaque-forming units) in human saliva. Plasmon was corroborated computer simulations finite-difference time-domain (FDTD) method. The strategies based preparing are robust permit via dynamic light scattering UV-vis spectroscopy without interference from other viruses, such as influenza dengue viruses. diagnosis made smartphone app after processing images collected camera, measuring concentration SARS-CoV-2. Both image machine learning algorithms found provide COVID-19 100% accuracy saliva samples. In subsidiary experiments, we observed that biosensor could be used virus river waters pretreatment. With fast responses requiring small sample amounts (only 20 μL), these can deployed any location within point-of-care paradigm epidemiological control.

Language: Английский

Citations

33

Infrastructure monitoring and quality diagnosis in CNC machining: A review DOI Creative Commons

Myrsini Ntemi,

Spyridon Paraschos,

Αναστάσιος Καρακώστας

et al.

CIRP journal of manufacturing science and technology, Journal Year: 2022, Volume and Issue: 38, P. 631 - 649

Published: June 23, 2022

Infrastructure monitoring and rapid quality diagnosis comprise the key solutions to achieve zero-defect smart manufacturing. The most fundamental systems in manufacturing industries are computer numerical controlled (CNC) tools. Automating optimizing their functionality is a highly challenging task because complex dynamics non-linear relationships govern overall machining operations. Recent scientific advances processes, incorporate intelligence CNC tools improve both reliability productivity of real-time cutting operations, while reducing waste cost. This study extensively reviews these focusing on three aspects: Surface roughness prediction, tool wear chatter detection processes.

Language: Английский

Citations

32

Transformative Personalized Oxalate Biomarker Analysis through a Wrist-Worn Microneedle Device Integrated with Duplex Nanozyme Toolbox DOI
Fereshteh Amourizi, Kheibar Dashtian, Rouholah Zare‐Dorabei

et al.

Sensors and Actuators B Chemical, Journal Year: 2024, Volume and Issue: 423, P. 136731 - 136731

Published: Oct. 9, 2024

Language: Английский

Citations

7

Fuzzy c-means clustering based colour image segmentation for tool wear monitoring in micro-milling DOI
Jitin Malhotra, Sunil Jha

Precision Engineering, Journal Year: 2021, Volume and Issue: 72, P. 690 - 705

Published: July 23, 2021

Language: Английский

Citations

30

Best practices and current implementation of emerging smartphone-based (bio)sensors – Part 1: Data handling and ethics DOI Creative Commons
Georgina M.S. Ross, Yunfeng Zhao, A.J. Bosman

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2022, Volume and Issue: 158, P. 116863 - 116863

Published: Dec. 1, 2022

Smartphones are ubiquitous in modern society; 2021, the number of active subscriptions surpassed 6 billion. These devices have become more than a means communication; smartphones powerful, continuously connected, miniaturized computers capable passively and actively collecting (private) information for us from us. Their implementation as detectors or instrumental interfaces emerging smartphone-based (bio)sensors (SbSs) has facilitated shift towards portable point-of-care platforms healthcare point-of-need systems food safety, environmental monitoring, forensic applications. familiar, handheld capacity to popularize analytical chemistry by simplifying complicated laboratory protocols automating advanced data handling without requiring expensive equipment trained analysts. To elucidate technological, legal, ethical challenges associated with developing SbSs, we reviewed existing literature (2016–2021), providing an in-depth critical analysis state-of-the-art optical electrochemical SbSs. This revealed key areas consider which will address set review papers. Part I (this review) (i) how SbS acquired processed (ii) privacy protection strategies keep this secure. II then focus on (iii) development validation biosensors (iv) assess usability (potential) social impact Finally, these insights applied generate proposed best practices help guide future

Language: Английский

Citations

21