Zhixia Yao, Zhen Li, Hanmeng Liu, Yaosheng Liu, Yujing Sun and Zhuang Li
{"title":"一种基于氨基功能化铜金属-有机框架纳米颗粒过氧化物酶样特性的抗坏血酸检测新比色法","authors":"Zhixia Yao, Zhen Li, Hanmeng Liu, Yaosheng Liu, Yujing Sun and Zhuang Li","doi":"10.1039/C9AY00172G","DOIUrl":null,"url":null,"abstract":"<p >A rapid and sensitive colorimetric strategy for the determination of ascorbic acid (AA) is presented, using amino functionalized copper metal–organic framework nanoparticles (Cu-BDC-NH<small><sub>2</sub></small> NPs) with effective intrinsic peroxidase-like properties. In our design, Cu-BDC-NH<small><sub>2</sub></small> NPs catalyze the H<small><sub>2</sub></small>O<small><sub>2</sub></small> oxidation of 3,3′,5,5′-tetramethylbenzidine (TMB) generating blue-colored oxidized TMB (ox-TMB) with a significant absorbance at 655 nm in the UV-vis spectrum. AA can reduce ox-TMB, inducing a dramatic blue color fading and a decrease in absorbance. Under the optimal experimental conditions, this proposed system presents a good linear relationship (0.5–60 μM) and the detection limit is 0.15 μM. Repeatability, high selectivity and practicability are also well-studied, proving that the sensing system based on Cu-BDC-NH<small><sub>2</sub></small> NPs can be successfully applied for colorimetric detection of AA in human serum, food and pharmaceutical samples. The designed method can provide a highly selective and sensitive optical sensing system to detect AA and establish a new platform to develop extensive applications of metal–organic framework nanoparticles with enzyme-mimetic activity in colorimetric biosensing.</p>","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":" 12","pages":" 1697-1706"},"PeriodicalIF":2.7000,"publicationDate":"2019-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1039/C9AY00172G","citationCount":"13","resultStr":"{\"title\":\"A novel colorimetric assay based on the peroxidase-like properties of amino functionalized copper metal–organic framework nanoparticles for ascorbic acid sensing†\",\"authors\":\"Zhixia Yao, Zhen Li, Hanmeng Liu, Yaosheng Liu, Yujing Sun and Zhuang Li\",\"doi\":\"10.1039/C9AY00172G\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >A rapid and sensitive colorimetric strategy for the determination of ascorbic acid (AA) is presented, using amino functionalized copper metal–organic framework nanoparticles (Cu-BDC-NH<small><sub>2</sub></small> NPs) with effective intrinsic peroxidase-like properties. In our design, Cu-BDC-NH<small><sub>2</sub></small> NPs catalyze the H<small><sub>2</sub></small>O<small><sub>2</sub></small> oxidation of 3,3′,5,5′-tetramethylbenzidine (TMB) generating blue-colored oxidized TMB (ox-TMB) with a significant absorbance at 655 nm in the UV-vis spectrum. AA can reduce ox-TMB, inducing a dramatic blue color fading and a decrease in absorbance. Under the optimal experimental conditions, this proposed system presents a good linear relationship (0.5–60 μM) and the detection limit is 0.15 μM. Repeatability, high selectivity and practicability are also well-studied, proving that the sensing system based on Cu-BDC-NH<small><sub>2</sub></small> NPs can be successfully applied for colorimetric detection of AA in human serum, food and pharmaceutical samples. The designed method can provide a highly selective and sensitive optical sensing system to detect AA and establish a new platform to develop extensive applications of metal–organic framework nanoparticles with enzyme-mimetic activity in colorimetric biosensing.</p>\",\"PeriodicalId\":64,\"journal\":{\"name\":\"Analytical Methods\",\"volume\":\" 12\",\"pages\":\" 1697-1706\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2019-02-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1039/C9AY00172G\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Analytical Methods\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://pubs.rsc.org/en/content/articlelanding/2019/ay/c9ay00172g\",\"RegionNum\":3,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Methods","FirstCategoryId":"92","ListUrlMain":"https://pubs.rsc.org/en/content/articlelanding/2019/ay/c9ay00172g","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
A novel colorimetric assay based on the peroxidase-like properties of amino functionalized copper metal–organic framework nanoparticles for ascorbic acid sensing†
A rapid and sensitive colorimetric strategy for the determination of ascorbic acid (AA) is presented, using amino functionalized copper metal–organic framework nanoparticles (Cu-BDC-NH2 NPs) with effective intrinsic peroxidase-like properties. In our design, Cu-BDC-NH2 NPs catalyze the H2O2 oxidation of 3,3′,5,5′-tetramethylbenzidine (TMB) generating blue-colored oxidized TMB (ox-TMB) with a significant absorbance at 655 nm in the UV-vis spectrum. AA can reduce ox-TMB, inducing a dramatic blue color fading and a decrease in absorbance. Under the optimal experimental conditions, this proposed system presents a good linear relationship (0.5–60 μM) and the detection limit is 0.15 μM. Repeatability, high selectivity and practicability are also well-studied, proving that the sensing system based on Cu-BDC-NH2 NPs can be successfully applied for colorimetric detection of AA in human serum, food and pharmaceutical samples. The designed method can provide a highly selective and sensitive optical sensing system to detect AA and establish a new platform to develop extensive applications of metal–organic framework nanoparticles with enzyme-mimetic activity in colorimetric biosensing.