Testing of a novel automated point-of-care analyzer for blood ammonium monitoring in a clinical setting DOI Creative Commons
Beatriz Rebollo-Calderón, Antonio Calvo-López, Aída Ormazábal

et al.

Analytical and Bioanalytical Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: April 23, 2025

Abstract Certain diseases are marked by elevated ammonium levels in the blood, a condition known as hyperammonemia. Prompt detection and medical intervention crucial to prevent potentially fatal outcomes. Therefore, should be monitored regularly, typically referral hospitals where specialized costly equipment is available. Although compact commercial devices available for this purpose, none of them meet all technical analytical requirements needed direct blood analysis, current reported strategies have not been validated with enough samples confirm results reliably. We present robust reliable automated point-of-care (POC) analyzer potentiometric determination blood. Comprising three computer-controlled modules—fluid management, detection, data acquisition transmission—this system combines portability, ease use, affordability. It can directly measure untreated samples, significantly reducing analysis time. Fully automated, it operates unsupervised minimal lab personnel intervention. Analytical quality parameters include 5% RSD repeatability (n = 8), limit 24 μM, working range 30–1000 µM sample volume 215 µL. Successfully implemented hospital 2 months, analyzed 238 parallel hospital’s reference method showing comparable (paired t -test, Passing-Bablok regression Bland–Altman Plot) randomly distributed errors, 4% accuracy calculated mean error. Results indicate POC effectiveness reliability clinical setting compared currently or commercially equipment, being suitable bedside monitoring conditions associated hyperammonemia healthcare centers, including emergency rooms clinics developing countries. Graphical

Language: Английский

Single-walled carbon nanotubes based hydrogen sulfide gas sensor functionalized with TEMPO DOI

Ryangha Kim,

Kyung-eun Kim,

Younglae Kim

et al.

Materials Letters, Journal Year: 2025, Volume and Issue: unknown, P. 138193 - 138193

Published: Feb. 1, 2025

Language: Английский

Citations

0

Nanozyme film with dicopper-coordinated amino-ligands: A dual enzyme-mimic for real-time in situ dopamine sensing in human neuroblastoma cells DOI
Rajesh Madhuvilakku, Hong Jin Choi, Ok Chan Jeong

et al.

Biosensors and Bioelectronics, Journal Year: 2025, Volume and Issue: 278, P. 117375 - 117375

Published: March 13, 2025

Language: Английский

Citations

0

Testing of a novel automated point-of-care analyzer for blood ammonium monitoring in a clinical setting DOI Creative Commons
Beatriz Rebollo-Calderón, Antonio Calvo-López, Aída Ormazábal

et al.

Analytical and Bioanalytical Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: April 23, 2025

Abstract Certain diseases are marked by elevated ammonium levels in the blood, a condition known as hyperammonemia. Prompt detection and medical intervention crucial to prevent potentially fatal outcomes. Therefore, should be monitored regularly, typically referral hospitals where specialized costly equipment is available. Although compact commercial devices available for this purpose, none of them meet all technical analytical requirements needed direct blood analysis, current reported strategies have not been validated with enough samples confirm results reliably. We present robust reliable automated point-of-care (POC) analyzer potentiometric determination blood. Comprising three computer-controlled modules—fluid management, detection, data acquisition transmission—this system combines portability, ease use, affordability. It can directly measure untreated samples, significantly reducing analysis time. Fully automated, it operates unsupervised minimal lab personnel intervention. Analytical quality parameters include 5% RSD repeatability (n = 8), limit 24 μM, working range 30–1000 µM sample volume 215 µL. Successfully implemented hospital 2 months, analyzed 238 parallel hospital’s reference method showing comparable (paired t -test, Passing-Bablok regression Bland–Altman Plot) randomly distributed errors, 4% accuracy calculated mean error. Results indicate POC effectiveness reliability clinical setting compared currently or commercially equipment, being suitable bedside monitoring conditions associated hyperammonemia healthcare centers, including emergency rooms clinics developing countries. Graphical

Language: Английский

Citations

0