Ultrasensitive colorimetric detection of Cu2+ ion based on catalytic oxidation of l-cysteine

Yin, Kun; Li, Bowei; Wang, Xiaochun; Zhang, Weiwei; Chen, Lingxin

doi:10.1016/j.bios.2014.08.058

Cited by 77 publications

(20 citation statements)

References 47 publications

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“…As for Hcy and GSH, which are also aminothiols, but the pK a of Hcy (10.00) and GSH (9.20) are higher than that of Cys (8.53) (Benesch and Benesch, 1955). The nucleophilic ability of sulfydryl in Hcy and GSH is much weaker than that of Cys, which agrees with our previous research (Yin et al, 2015). In addition, the bulkiness of tripeptide of GSH would significantly hinder the reaction activity of sulfydryl.…”

Section: Proposed Detection Mechanism Of Cy-nbsupporting

confidence: 80%

A near-infrared ratiometric fluorescent probe for cysteine detection over glutathione indicating mitochondrial oxidative stress in vivo

Yin

Zhang

et al. 2015

Biosensors and Bioelectronics

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117

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a b s t r a c tWe establish a near-infrared (NIR) ratiometric fluorescent probe Cy-NB for the selective detection of cysteine (Cys) over glutathione (GSH) and homocysteine (Hcy) in mitochondria to indicate oxidative stress. Heptamethine cyanine dye is chosen as the fluorophore of Cy-NB whose emission locates in NIR region. And p-nitrobenzoyl is employed as the fluorescent modulator due to its capability of selective-Cys response. Once triggered by Cys, the uncaged p-nitrobenzoyl rearranges the polymethine π-electron system of the fluorophore, which leads to a remarkable spectrum shifts in absorption and emission profiles. Taking advantage of these spectroscopic properties, we construct a ratiometric fluorescent signal for the detection of Cys with a detection limit of 0.2 mM within 5 min. Our probe Cy-NB can sensitively detect the mitochondrial Cys pool changes under different oxidative stress status in HepG2 cells. We also successfully employ Cy-NB to imaging Cys level changes in living mice. It suggests that mitochondrial Cys can be used as an oxidative stress biomarker with simple potential clinical applications. And our probe Cy-NB is of great potential for further utilizing in exploring the physiological function of Cys in biological systems.

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Section: Proposed Detection Mechanism Of Cy-nbsupporting

confidence: 80%

A near-infrared ratiometric fluorescent probe for cysteine detection over glutathione indicating mitochondrial oxidative stress in vivo

Yin

Zhang

et al. 2015

Biosensors and Bioelectronics

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117

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“…Recently, various colorimetric sensors, electrochemical techniques and fluorescence probes have been established to detect copper ion [8][9][10][11][12][13][14][15][16][17][18]. The colorimetric sensors based on nanomaterials own outstanding advantages such as good sensitivity and can be directly recognized by naked eyes.…”

Section: Introductionmentioning

confidence: 99%

A sensitive fluorescent biosensor for the detection of copper ion inspired by biological recognition element pyoverdine

Yin

Wang

et al. 2016

Sensors and Actuators B: Chemical

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a b s t r a c tThe environmental copper pollution seriously threatens the health of organisms and the safety of ecosystem. Therefore, the development of a simple and sensitive method to detect copper ion is very important. In this study, we have developed a fluorescent biosensor based on biological recognition element pyoverdine to selectively detect copper ion. The fluorescence of pyoverdine is quenched obviously after binding with copper ion. A good linearity within the range of 0.2-10 M (R = 0.997) is attained and the detection limit is 50 nM. The biosensor has been successfully utilized for the detection of copper ion in drinking water, seawater and bio-samples and the results agree well with those obtained by the inductively coupled plasma mass spectrometry. Therefore, the established biosensor is a creditable method to detect copper ion with high sensitivity and selectivity, which can be utilized as a powerful tool to monitor copper pollution in the environment.

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“…Tang et al used QDs with photocatalytic activity to detect Cu 2+ , as shown in Figure 2a, and the detection limit was 5.3 nM [61]. Yin et al used the principle that Cu 2+ can catalyze the oxidation of 2,4-dinitrophenylcysteine (DNPC) in the presence of oxygen to detect it, and the maximum detection limit was 0.5 nM [62].…”

Section: Colorimetric Detection Based On Cunpsmentioning

confidence: 99%

Metal nanoparticles-based nanoplatforms for colorimetric sensing: A review

Jin

Wang

2020

Reviews in Analytical Chemistry

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With the progress of analysis technology and nanotechnology, colorimetric detection has become one of the research hotspots in the field of analytical chemistry. Compared with traditional detection methods, the colorimetric method has many advantages, such as high sensitivity, good selectivity, convenience and fast, as well as low cost. In recent years, metal nanoparticles have been introduced into colorimetry, making the research and application of colorimetry develop rapidly. In this work, we summarize the usual colorimetric detection methods based on metal nanoparticles-based nanozymes and their applications in the last five years. We hope that this work will help readers understand the mechanism and practical application value of nanozyme-based colorimetric biosensors. Meanwhile, this work may give some hints and references for future colorimetric detection research to promote the application and development of nanozyme-based colorimetry in biomedical and environmental analysis.

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Ultrasensitive colorimetric detection of Cu2+ ion based on catalytic oxidation of l-cysteine

Cited by 77 publications

References 47 publications

A near-infrared ratiometric fluorescent probe for cysteine detection over glutathione indicating mitochondrial oxidative stress in vivo

A near-infrared ratiometric fluorescent probe for cysteine detection over glutathione indicating mitochondrial oxidative stress in vivo

A sensitive fluorescent biosensor for the detection of copper ion inspired by biological recognition element pyoverdine

Metal nanoparticles-based nanoplatforms for colorimetric sensing: A review

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