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一种三模式生物传感器,用于在各种储存条件下检测水产品中的次黄嘌呤。

A three-mode biosensor for hypoxanthine assay in aquatic products under various storage conditions.

机构信息

Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources, Ministry of Education, College of Chemistry and Material Science, Sichuan Normal University, Chengdu, Sichuan 610068, China.

Key Laboratory of the Evaluation and Monitoring of Southwest Land Resources, Ministry of Education, College of Chemistry and Material Science, Sichuan Normal University, Chengdu, Sichuan 610068, China.

出版信息

Food Chem. 2024 Sep 1;451:139453. doi: 10.1016/j.foodchem.2024.139453. Epub 2024 Apr 24.

DOI:10.1016/j.foodchem.2024.139453
PMID:38677136
Abstract

Establishing a rapid and accurate method for monitoring the freshness of aquatic products is of great importance. Hypoxanthine has been considered an essential indicator of aquatic products' freshness. Here, a novel smartphone colorimetric / inductively coupled plasma mass spectrometry (ICP-MS) / photothermal three-mode sensing strategy was established for monitoring hypoxanthine. Hypoxanthine can be catalyzed by xanthine oxidase to HO and uric acid, which can simultaneously degrade MnO nanosheets (NSs) to Mn. After filter-assisted separation, the smartphone and ICP-MS were performed by monitoring the color of the membrane and the Mn in the filtrate. Additionally, MnO NSs can facilitate the oxidation of dopamine to form polydopamine nanoparticles, which exhibit strong photothermal efficiency. The approach successfully monitored the deterioration of aquatic products under various storage conditions through portable thermometers and smartphones with low limits of detection (LODs), providing a potential application for in-situ evaluation of the freshness of aquatic products.

摘要

建立一种快速准确的水产品鲜度监测方法具有重要意义。次黄嘌呤一直被认为是水产品鲜度的重要指标。在这里,建立了一种新颖的智能手机比色/电感耦合等离子体质谱(ICP-MS)/光热三模式传感策略来监测次黄嘌呤。次黄嘌呤可以被黄嘌呤氧化酶催化生成 HO 和尿酸,同时可以将 MnO 纳米片(NSs)降解为 Mn。通过过滤辅助分离后,通过监测膜的颜色和滤液中的 Mn,使用智能手机和 ICP-MS 进行检测。此外,MnO NSs 可以促进多巴胺的氧化形成聚多巴胺纳米颗粒,具有很强的光热效率。该方法通过便携式温度计和智能手机成功监测了各种储存条件下水产品的变质情况,具有较低的检测限(LOD),为水产品鲜度的原位评价提供了潜在的应用。

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