Recent progress of smartphone-assisted microfluidic sensors for point of care testing

G **ng, J Ai, N Wang, Q Pu - TrAC Trends in Analytical Chemistry, 2022 - Elsevier
Point of care (POC) testing is of great importance in rapid diagnosis of disease, monitoring
environmental pollutants, food safety analysis and other fields, especially in resource-limited …

Big data and machine learning for materials science

JF Rodrigues, L Florea, MCF de Oliveira, D Diamond… - Discover …, 2021 - Springer
Herein, we review aspects of leading-edge research and innovation in materials science
that exploit big data and machine learning (ML), two computer science concepts that …

Ratiometric 3D DNA machine combined with machine learning algorithm for ultrasensitive and high-precision screening of early urinary diseases

N Wu, XY Zhang, J **a, X Li, T Yang, JH Wang - Acs Nano, 2021 - ACS Publications
Urinary extracellular vesicles (uEVs) have received considerable attention as a potential
biomarker source for the diagnosis of urinary diseases. Present studies mainly focus on the …

Advanced nanotechnologies for extracellular vesicle‐based liquid biopsy

L Min, B Wang, H Bao, X Li, L Zhao, J Meng… - Advanced …, 2021 - Wiley Online Library
Extracellular vesicles (EVs) are emerging as a new source of biomarkers in liquid biopsy
because of their wide presence in most body fluids and their ability to load cargoes from …

Biocompatible wearable electrodes on leaves toward the on-site monitoring of water loss from plants

JA Barbosa, VMS Freitas, LHB Vidotto… - … Applied Materials & …, 2022 - ACS Publications
Impedimetric wearable sensors are a promising strategy for determining the loss of water
content (LWC) from leaves because they can afford on-site and nondestructive quantification …

Modular label-free electrochemical biosensor loading nature-inspired peptide toward the widespread use of COVID-19 antibody tests

ACH Castro, IRS Bezerra, AM Pascon, GH Da Silva… - ACS …, 2022 - ACS Publications
Limitations of the recognition elements in terms of synthesis, cost, availability, and stability
have impaired the translation of biosensors into practical use. Inspired by nature to mimic …

Using machine learning and an electronic tongue for discriminating saliva samples from oral cavity cancer patients and healthy individuals

DC Braz, MP Neto, FM Shimizu, AC Sá, RS Lima… - Talanta, 2022 - Elsevier
The diagnosis of cancer and other diseases using data from non-specific sensors–such as
the electronic tongues (e-tongues)-is challenging owing to the lack of selectivity, in addition …

Microfluidic approaches for affinity-based exosome separation

EK Theel, SP Schwaminger - International Journal of Molecular Sciences, 2022 - mdpi.com
As a subspecies of extracellular vesicles (EVs), exosomes have provided promising results
in diagnostic and theranostic applications in recent years. The nanometer-sized exosomes …

[HTML][HTML] based sensors for rapid important biomarkers detection

B Kuswandi, MA Hidayat, E Noviana - Biosensors and Bioelectronics: X, 2022 - Elsevier
Paper-based sensors have received increasing attention in the last decade, their use has
spread to various application fields, such as clinical diagnostic, food safety, environmental …

Development and application of mobile apps for molecular sensing: a review

BR Sun, AG Zhou, X Li, HZ Yu - ACS sensors, 2021 - ACS Publications
Modern smartphone-based sensing devices are generally standalone detection platforms
that can transduce signals (via the built-in USB port, audio jack, or camera), perform analysis …