MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1016/j.foodchem.2018.10.075

Медицинская библиотека · Food chemistry · 2018

Recent progress in nanomaterial-based assay for the detection of phytotoxins in foods.

Chen Qilei, Zhu Lin, Chen Jiaxuan, Jiang Tao, Ye Huazhen, Ji Hong, Tsang Siuwai, Zhao Zhongzhen, Yi Tao, Chen Hubiao

СтатьяПеревод в очереди

Аннотация

Phytotoxins refers to toxic chemicals derived from plants. They include both secondary metabolites that are dose-dependently toxic and allergens that can cause anaphylactic shock in sensitive individuals. Detecting phytotoxins in foods is increasingly important. Conventional methods for detecting phytotoxins lack sufficient sensitivity and operational convenience. Nanomaterial-based determination assays show great competence in fast and accurate sensing of trace substances. In the present review, representative phytotoxin categories of alkaloids, cyanides, and proteins are discussed. Application of notable nanomaterials, e.g. carbon nanotubes, graphene oxide, magnetic nanoparticles, metal-based nanotools, and quantum dots, in specific sensing strategies to fit the physiochemical properties of the target toxins are summarized. Nanomaterials mainly play four roles in phytotoxin detection: 1) analyte enricher; 2) sensor structure mediator; 3) target recognizer or reactant; 4) signaling agent. Great achievements have been made in the detection of trace plant-derived toxins in food matrices, yet there are still challenges awaiting further investigation.

Для цитирования: Chen Qilei, Zhu Lin, Chen Jiaxuan, Jiang Tao, Ye Huazhen, Ji Hong, Tsang Siuwai, Zhao Zhongzhen, Yi Tao, Chen Hubiao. Recent progress in nanomaterial-based assay for the detection of phytotoxins in foods.. Food chemistry. 2018. DOI: 10.1016/j.foodchem.2018.10.075.

Предметные рубрики MeSH

Подготовка и перевод публикации
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.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.