A simple miniaturised photometrical method for rapid determination of nitrate and nitrite in freshwater

Tu, Xin-Hai; Xiao, Baihua; Xiong, Jian; Chen, Xudong

doi:10.1016/j.talanta.2010.06.002

Cited by 44 publications

(16 citation statements)

References 25 publications

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“…For non-enzyme catalytic detection of nitrite in food, one challenge is the interference from other substances [43]. For example, glucose, AA, and UA in real samples are easily oxidized under a positive potential and often interfere with the accurate detection of nitrite [44].…”

Section: Electrochemical Propertiesmentioning

confidence: 99%

One-pot hydrothermal synthesis of uniform β-MnO2 nanorods for nitrite sensing

Feng

Zhang

Wang

et al. 2011

Journal of Colloid and Interface Science

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Section: Electrochemical Propertiesmentioning

confidence: 99%

One-pot hydrothermal synthesis of uniform β-MnO2 nanorods for nitrite sensing

Feng

Zhang

Wang

et al. 2011

Journal of Colloid and Interface Science

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“…Thus, the detection and determination of nitrate concentration in different environmental matrices such as water and wastewater, soils sediments and plants are of primary importance. During past and recent years, a number of different methods such as spectrophotometry (Edwards et al 2001;López Pasquali et al 2007;Pasquali et al 2010), gas chromatography coupled with mass spectrometry (Tsikas et al 1997), ion chromatography coupled with electrospray ionization tandem mass spectrometry (Blount and Valentin-Blasini 2006), disk electrode alert system (Soropogui et al 2006), miniaturised photometry (Tu et al 2010), surfaceenhanced Raman spectroscopy (Gajaraj et al 2013), electrochemical (Beer and Sweerts 1989), membrane technology (Rezakazemi et al 2017(Rezakazemi et al , 2018a, electrophoresis (Gao et al 2004), hydrodynamic sequential injection (Somnam et al 2008), fluorescence (Mohr et al 1997;Huber et al 2001), and microplate fluorimetry (Ciulu et al 2018) have been used for the detection of nitrate in different types of samples. However, most of these techniques require expensive instrumentation, and in several circumstances, they are not suitable for instant field tests.…”

Section: Introductionmentioning

confidence: 99%

Reduced graphene oxide/polypyrrole/nitrate reductase deposited glassy carbon electrode (GCE/RGO/PPy/NR): biosensor for the detection of nitrate in wastewater

Umar

Nasar

2018

Appl Water Sci

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In the present work, a novel biosensor (GCE/RGO/PPy/NR) based on the nanocomposite of reduced graphene oxide (RGO), polypyrrole (PPy) immobilized by nitrate reductase (NR) was developed on a glassy carbon electrode (GCE). The conductive nanocomposite (RGO/PPy) was synthesized by in situ oxidative polymerization of pyrrole in the presence of RGO in acidic medium. A facile and green path was employed to synthesize RGO from graphene oxide (GO). This was performed by a novel route using Abelmoschus esculentus vegetable extract as a stabilizing and reducing agent for GO. The composite of reduced graphene oxide and polypyrrole (RGO/PPy) was deposited onto GCE with subsequent deposition of NR enzyme on the GCE/ RGO/PPy to develop GCE/RGO/PPy/NR biosensor. The surface morphology and structural features of the composites were studied by Fourier transform infrared (FTIR) spectroscopy, scanning electron microscopy (SEM) and transmission electron microscopy (TEM). The electrochemical behavior and electrocatalytic activity of the biosensor were examined by cyclic voltammetry at different scan rates (20-100 mV s −1) in the synthetic nitrate solution. The developed bio-anode achieved a maximum current density of 4.24 mA cm −2 at a scan rate of 100 mV s −1 for 10 mM sodium nitrate solution.

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“…The determination of nitrite is imperative because of their high toxicity in biological systems, particularly in children, which augments the urgent requirement to develop detection technologies. Many techniques have been developed for the in situ quantification of nitrite, including fluorescence20, photometric methods21, sequential injection22, spectrophotometry23 and electrochemical methods24. Among these methods, electrochemical methods are relatively cost-effective, easy to analyze, highly sensitive and highly selective252627282930313233343536.…”

mentioning

confidence: 99%

Heteroatom-enriched and renewable banana-stem-derived porous carbon for the electrochemical determination of nitrite in various water samples

Madhu

Veeramani

Chen

2014

Sci Rep

110

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For the first time, high-surface-area (approximately 1465 m2 g−1), highly porous and heteroatom-enriched activated carbon (HAC) was prepared from banana stems (Musa paradisiaca, Family: Musaceae) at different carbonization temperatures of 700, 800 and 900°C (HAC) using a simple and eco-friendly method. The amounts of carbon, hydrogen, nitrogen and sulfur in the HAC are 61.12, 2.567, 0.4315, and 0.349%, respectively. Using X-ray diffraction (XRD), CHNS elemental analysis, X-ray photoelectron spectroscopy (XPS) and Raman spectroscopy, the prepared activated carbon appears amorphous and disordered in nature. Here, we used HAC for an electrochemical application of nitrite (NO2−) sensor to control the environmental pollution. In addition, HAC exhibits noteworthy performance for the highly sensitive determination of nitrite. The limit of detection (LODs) of the nitrite sensor at HAC-modified GCE is 0.07 μM. In addition, the proposed method was applied to determine nitrite in various water samples with acceptable results.

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A simple miniaturised photometrical method for rapid determination of nitrate and nitrite in freshwater

Cited by 44 publications

References 25 publications

One-pot hydrothermal synthesis of uniform β-MnO2 nanorods for nitrite sensing

One-pot hydrothermal synthesis of uniform β-MnO2 nanorods for nitrite sensing

Reduced graphene oxide/polypyrrole/nitrate reductase deposited glassy carbon electrode (GCE/RGO/PPy/NR): biosensor for the detection of nitrate in wastewater

Heteroatom-enriched and renewable banana-stem-derived porous carbon for the electrochemical determination of nitrite in various water samples

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