Detection of urea in milk by urease-inorganic hybrid nanoflowers combined with portable colorimetric microliter tube

IF 5.3 2区化学 Q1 CHEMISTRY, ANALYTICAL Microchimica Acta Pub Date : 2024-10-18 DOI:10.1007/s00604-024-06734-1

Yang Wan, Zhixin Xie, Ming Cao, Chi Zhang, Zhibiao Feng, Bo Tian, Zhenmin Liu

{"title":"Detection of urea in milk by urease-inorganic hybrid nanoflowers combined with portable colorimetric microliter tube","authors":"Yang Wan, Zhixin Xie, Ming Cao, Chi Zhang, Zhibiao Feng, Bo Tian, Zhenmin Liu","doi":"10.1007/s00604-024-06734-1","DOIUrl":null,"url":null,"abstract":"<div><p>A simple one-pot green synthesis method was used to prepare urease-inorganic hybrid nanoflowers (UE-HNFs), which had a high surface-to-volume ratio to improve enzyme catalytic efficiency and make urease reusable. A portable colorimetric microliter tube based on urease-inorganic hybrid nanoflowers (UE-HNFs-PCMT), as an urea colorimetric biosensor, was developed for determining urea concentration in milk. The combination of urea colorimetric biosensor and a smartphone is used for capturing the colour change of milk after reaction. There was a good linear relationship between colour intensity of the image (Δ intensity) and urea concentration (43–600 mg L<sup>−1</sup>), with a detection limit of 12.81 mg L<sup>−1</sup>. UE-HNFs-PCMT has the advantages of no need for complex equipment, easy operation, reusability, low detection cost, good portability, and environmental friendliness and can achieve urea detection in milk.</p><h3>Graphical Abstract</h3>\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":705,"journal":{"name":"Microchimica Acta","volume":null,"pages":null},"PeriodicalIF":5.3000,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microchimica Acta","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s00604-024-06734-1","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}

引用次数: 0

Abstract

A simple one-pot green synthesis method was used to prepare urease-inorganic hybrid nanoflowers (UE-HNFs), which had a high surface-to-volume ratio to improve enzyme catalytic efficiency and make urease reusable. A portable colorimetric microliter tube based on urease-inorganic hybrid nanoflowers (UE-HNFs-PCMT), as an urea colorimetric biosensor, was developed for determining urea concentration in milk. The combination of urea colorimetric biosensor and a smartphone is used for capturing the colour change of milk after reaction. There was a good linear relationship between colour intensity of the image (Δ intensity) and urea concentration (43–600 mg L⁻¹), with a detection limit of 12.81 mg L⁻¹. UE-HNFs-PCMT has the advantages of no need for complex equipment, easy operation, reusability, low detection cost, good portability, and environmental friendliness and can achieve urea detection in milk.

Graphical Abstract

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

利用尿素酶-无机杂化纳米花与便携式比色微升管相结合检测牛奶中的尿素

采用简单的一锅绿色合成方法制备了尿素酶-无机杂化纳米流体（UE-HNFs），该纳米流体具有较高的表面-体积比，可提高酶催化效率并使尿素酶可重复使用。基于尿素酶-无机杂化纳米流体（UE-HNFs-PCMT）的便携式微升比色管作为尿素比色生物传感器被开发出来，用于测定牛奶中的尿素浓度。尿素比色生物传感器与智能手机相结合，用于捕捉反应后牛奶的颜色变化。图像的颜色强度（Δ强度）与尿素浓度（43-600 mg L-1）之间存在良好的线性关系，检测限为 12.81 mg L-1。UE-HNFs-PCMT 具有无需复杂设备、操作简便、可重复使用、检测成本低、便携性好、环境友好等优点，可实现牛奶中尿素的检测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Microchimica Acta 化学-分析化学

CiteScore

9.80

自引率

5.30%

发文量

410

审稿时长

2.7 months

期刊介绍： As a peer-reviewed journal for analytical sciences and technologies on the micro- and nanoscale, Microchimica Acta has established itself as a premier forum for truly novel approaches in chemical and biochemical analysis. Coverage includes methods and devices that provide expedient solutions to the most contemporary demands in this area. Examples are point-of-care technologies, wearable (bio)sensors, in-vivo-monitoring, micro/nanomotors and materials based on synthetic biology as well as biomedical imaging and targeting.