m+Medelevator.RU
← Поиск публикаций
ACS sensors · 2026

Drift-Compensated Real-Time Electronic Sensing Platform for Cardiac Markers' Intelligent Multiplex Detection in Whole Blood.

СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Lu Beibei, Huang Hua, Fang Kuaifa, Yu Kun, Lu Bitao, Lan Guangqian

Аннотация

The prompt and accurate early diagnosis of acute myocardial infarction (AMI) requires the development of rapid, sensitive, and precise diagnostic tools suitable for home use. However, conventional methods typically entail complex pretreatment steps and rely on bulky laboratory instrumentation, limiting their practicality for point‑of‑care applications. Here, we present an electrochemical sensing integrated chip (Sensing IC) incorporating a dual‑signal drift‑correction mechanism with dual‑reporter capability and broad applicability. The Sensing IC employs AuNPs/MXene‑based sensing electrodes, achieving exceptional sensitivity with a limit of detection in the picomolar range. When coupled with a smartphone‑based portable analyzer, the system enables real‑time, high‑sensitivity, multiplex detection of cardiac markers directly in whole blood. By utilizing dual redox reporters, this quantitative point‑of‑care testing (POCT) system effectively minimizes signal drift and supports in situ calibration of multiple cardiac markers. Compared with standard clinical assays, the system delivers comparable accuracy while reducing detection time by approximately 90% and substantially simplifying sample preprocessing procedures. Furthermore, it supports wireless communication with user‑friendly interfaces, such as smartphones, enabling real‑time data analysis and meeting the demands of rapid, decentralized diagnostics. Collectively, these findings demonstrate the potential of this platform to facilitate early AMI diagnosis and timely clinical warning, thereby paving the way for intelligent, home‑based cardiovascular monitoring.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты