A fully automated and portable system for solid phase extraction (SPE) has been developed for the analysis of the natural hormone 17β-estradiol (E2) in environmental water by enzyme linked immuno-sorbent assay (ELISA). The system has been validated with de-ionized and artificial sea water as model samples and allowed for pre-concentration of E2 at levels of 1, 10 and 100 ng/L with only 100 ml of sample. Recoveries ranged from 24±3% to 107±6% depending on the concentration and sample matrix. The method successfully allowed us to determine the concentration of two seawater samples. A concentration of 15.1±0.3 ng/L of E2 was measured in a sample obtained from a food production process, and 8.8±0.7 ng/L in a sample from the Adriatic Sea. The system would be suitable for continuous monitoring of water quality as it is user friendly, and as the method is reproducible and totally compatible with the analysis of water sample by simple immunoassays and other detection methods such as biosensors.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.chroma.2014.12.076 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Cardioattentionnet: advancing ECG beat characterization with a high-accuracy and portable deep learning model.
Front Cardiovasc Med
January 2025
Department of Cardiology, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China.
Introduction: The risk of mortality associated with cardiac arrhythmias is considerable, and their diagnosis presents significant challenges, often resulting in misdiagnosis. This situation highlights the necessity for an automated, efficient, and real-time detection method aimed at enhancing diagnostic accuracy and improving patient outcomes.
Methods: The present study is centered on the development of a portable deep learning model for the detection of arrhythmias via electrocardiogram (ECG) signals, referred to as CardioAttentionNet (CANet).
Lab-on-paper for molecular testing with USB-powered isothermal amplification and fluidic control.
Mikrochim Acta
January 2025
Department of Biotechnology and Bioengineering, Chonnam National University, Gwangju, 61186, Republic of Korea.
The global healthcare market increasingly demands affordable molecular diagnostics for field testing. To address this need, we introduce a lab-on-paper (LOP) platform that integrates isothermal amplification with a specially designed paper strip for molecular testing through an automated microfluidics process. The LOP system is engineered for rapid, cost-effective, and highly sensitive detection, using USB-powered thermal management and a wax valve mechanism.
View Article and Find Full Text PDFAutomated analysis for glaucoma screening of retinal videos acquired with smartphone-based ophthalmoscope.
Heliyon
July 2024
D-Eye Srl, Padova, 35131, Italy.
Widespread screening is crucial for the early diagnosis and treatment of glaucoma, the leading cause of visual impairment and blindness. The development of portable technologies, such as smartphone-based ophthalmoscopes, able to image the optical nerve head, represents a resource for large-scale glaucoma screening. Indeed, they consist of an optical device attached to a common smartphone, making the overall device cheap and easy to use.
View Article and Find Full Text PDFMagnetofluidic-Assisted Portable Automated Microfluidic Devices for Protein Detection.
Anal Chem
January 2025
State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Hunan University, Changsha 410082, China.
To facilitate on-site detection by nonspecialists, there is a demand for the development of portable "sample-to-answer" devices capable of executing all procedures in an automated or easy-to-operate manner. Here, we developed an automated detection device that integrated a magnetofluidic manipulation system and a signal acquisition system. Both systems were controllable via a smartphone.
View Article and Find Full Text PDFBilateral hip exoskeleton assistance enables faster walking in individuals with chronic stroke-related gait impairments.
Sci Rep
January 2025
The BioRobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Pisa, Italy.
Millions of individuals surviving a stroke have lifelong gait impairments that reduce their personal independence and quality of life. Reduced walking speed is one of the major problems limiting community mobility and reintegration. Previous studies have shown positive effect of robot-assisted gait training utilizing hip exoskeletons for individuals with gait impairments due to a stroke, leading to increased walking speed in post-treatment compared to pre-treatment assessments.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!