RGB recognition

  • 文章类型: Journal Article
    马拉硫磷由于其在环境中的广泛使用而对人类健康造成严重威胁。在这里,基于适体增强的漆酶模拟活性,首次建立了一种新型稳定的智能手机集成比色生物传感器,用于检测马拉硫磷。结果表明,M17-F适体可以增加Ag2O纳米颗粒对底物2,4-二氯苯酚的亲和力,并增强其漆酶模拟活性。因此,在催化体系中产生丰富的半醌自由基,与显色剂结合生成暗红色产品。使用智能手机可以轻松获得溶液颜色变化的相应RGB值,用于马拉硫磷的快速检测。所建立的马拉硫磷生物传感器的检出限低至5.85nmol·L-1,对其他竞争性农药具有良好的选择性。此外,进一步的研究已经验证了生物传感器在实际样品中的适用性,表明它在食品中马拉硫磷检测中具有潜在的应用前景。
    Malathion causes a serious threat to human health due to its widespread use in the environment. Herein, a novel and stable smartphone-integrated colorimetric biosensor for malathion detection is firstly established based on aptamer-enhanced laccase-mimicking activity. The results indicate that the M17-F aptamer can increase the affinity of Ag2O nanoparticles to the substrate 2,4-dichlorophenol and enhance their laccase-mimicking activity. Thus, abundant semiquinone radicals are produced in the catalytic system, which are combined with chromogenic agent to generate dark red products. The corresponding RGB values for the colour change of the solution can be easily obtained using smartphones, which is used for the rapid detection of malathion. The established biosensor for malathion has a limit of detection as low as 5.85 nmol·L-1, and displays good selectivity for other competitive pesticides. Moreover, further studies have verified the applicability of the biosensor in actual samples, indicating that it may have the potential for application in malathion detection in food.
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  • 文章类型: Journal Article
    Ag3PO4纳米颗粒(NPs)是通过一种简单的共沉淀方法制备的,并首次发现具有优异的漆酶模拟催化活性。该研究证实,伏马菌素B1(FB1)可以有效地阻止Ag3PO4NPs和溶解氧之间的超氧阴离子(O2-)的产生,并进一步抑制Ag3PO4NP的漆酶模拟活性。因此,首先使用漆酶模拟活性作为传感信号建立了一种用于谷物中FB1分析的新型快速比色传感器。感测溶液的吸光度变化与FB1的量直接相关,并且颜色变化进一步与智能手机结合用于FB1的定量分析。传感器的检测限(LOD)低至1.73μg·L-1,远低于欧盟委员会和美国食品和药物管理局(FDA)设定的FB1的最大残留限(MRL)。谷物中FB1检测的平均回收率为87.8-104.5%。
    Ag3PO4 nanoparticles (NPs) was prepared through a facile coprecipitation method, and was first found to have excellent laccase-mimicking catalytic activity. The study confirms that Fumonisin B1 (FB1) can effectively hinder the production of superoxide anion (O2-) between Ag3PO4 NPs and dissolved oxygen, and further inhibit laccase-mimicking activity of Ag3PO4 NPs. Thus, a novel rapid colorimetric sensor for FB1 analysis in cereal was first established using laccase-mimicking activity as sensing signal. The absorbance variation of sensing solution is directly related to the amount of FB1, and the color change is further combined with smartphone for quantitively analysis of FB1. The limit of detection (LOD) of the sensor is determined as low as 1.73 μg·L-1, which is far lower than the maximum residue limits (MRLs) of FB1 set by European Commission and US Food and Drug Administration (FDA). The average recovery of 87.8-104.5% for FB1 detection was obtained in cereal.
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  • 文章类型: Journal Article
    有机磷农药(OPs)的长期和过度使用导致环境中的有害残留,这在很大程度上威胁着人类的健康。比色法能快速、方便地鉴别农药残留,但是它们在准确性和稳定性方面仍然面临各种挑战。在这里,基于适体对八面体Ag2O催化能力的增强作用,构建了智能手机辅助的非酶比色生物传感器,用于快速监测多种OPs。证明了适体序列可以增强胶体Ag2O对显色底物的亲和力,并加速从溶解氧中生成氧自由基,如超氧自由基(·O2-)和单线态氧(1O2),从而显著增加八面体Ag2O的氧化酶活性。溶液的颜色变化可以通过智能手机轻松转换为相应的RGB值,以定量和快速检测多个OP。因此,获得了基于智能手机的多种OPs的视觉生物传感器,其检测限为10μgL-1,28μgL-1和40μgL-1,profenofos和氧化乐果,分别。比色生物传感器在几种环境和生物样品中也表现出良好的回收率,表明其在OPs残留检测方面具有广阔的应用前景。
    The long-term and excessive use of organophosphorus pesticides (OPs) leads to hazardous residues in the environment, which threatens human health to a considerable extent. Colorimetric methods can quickly and readily identify pesticide residue, but they still have various challenges in accuracy and stability. Herein, a smartphone-assisted and non-enzymatic colorimetric biosensor was constructed for rapid monitoring of multiple OPs based on the enhanced effect of aptamer on the catalytic ability of octahedral Ag2O. It was demonstrated that the aptamer sequence could enhance the affinity of colloidal Ag2O to chromogenic substrates, and accelerate the generation of oxygen radicals such as superoxide radical (·O2-) and singlet oxygen (1O2) from dissolved oxygen, thereby significantly increasing the oxidase activity of octahedral Ag2O. The color change of the solution can be easily converted to the corresponding RGB values by a smartphone for quantitative and rapid detection of multiple OPs. Hence, the smartphone-based and visual biosensor of multiple OPs was acquired with limit of detection of 10 μg L-1, 28 μg L-1 and 40 μg L-1 for isocarbophos, profenofos and omethoate, respectively. The colorimetric biosensor also exhibited good recoveries in several environmental and biological samples, showing that it may have broad application prospects for detecting OPs residues.
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