m+Medelevator.RU
← Поиск публикаций
Analytica chimica acta · 2022

Novel sensor array distinguishes heavy metal ions based on multiple fluorescence channels from dendritic mesoporous silica nanoparticles.

СтатьяНазвание и аннотация: Перевод в очереди
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.

Wu Xiaotong, Tan Lei, Li Yuling, Liu Wanqiong, Peng Zhihua, Dong Yanshan, Huang Zeyu, Zhang Lin, Liang Yong

Аннотация

In this work, we demonstrated a sensor array with multiple fluorescence channels using dendritic mesoporous silica nanoparticles embedded with three quantum dots for the determination of four heavy metal ions (Hg2+, Cu2+, Cr3+, and Ag+). Carboxyl-modified CdTe QDs with three different fluorescence emission wavelengths were loaded onto a dendritic mesoporous supporter by an amidation reaction. The fluorescence sensor array exhibited excellent analytical performance for discrimination and semi-quantification of heavy metal ions from a single test, which simplified detection procedures. The four heavy metal ions exhibited different degrees of quenching of the fluorescence emission intensities of the three quantum dots and resulted in a variant data matrix for linear discriminant analysis. Under optimized conditions, the fluorescence sensor array discriminated the four heavy metal ions in a concentration range of 0.05-5 μmol/L, and semi-quantified Hg2+, Cu2+, Cr3+, and Ag+ with a limit of detection of 2.51 nmol/L, 5.15 nmol/L, 3.81 nmol/L, and 5.74 nmol/L, respectively. The fluorescence sensor array integrated the sensing units into a single nanoparticle instead of the complex multiple detection steps used in traditional sensor arrays, providing an alternative strategy for constructing a single-well sensing platform. Furthermore, the fluorescence sensor array showed great practical potential for distinguishing heavy metal ions in raw water and crayfish samples.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты