Effect of L-Aspartate Concentration on the Response of the Amperometric L-Glutamate Sensor for the Measurement of L-Glutamate and Aspartate Aminotransferase Activity in Serum

Chang, Ku-Shang; Chen, Chien-yuan

doi:10.1080/00032710601017821

Cited by 7 publications

(8 citation statements)

References 26 publications

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“…[1] In recent years, sub-micron particles have been used as fillers in composites for improving the performance of the composite materials, such as sub-micron SiO 2 /epoxy, submicron TiO 2 /poly-ether-ether-ketone (PEEK), sub-micron silica particles/epoxy, sub-micron TiO 2 /polyethyleneterephthalate (PET), sub-micron silica fillers/epoxy, sub-micron sized copper/ruthenium-tantalum, and sub-micron silica fillers/dental composite resins. [2][3][4][5][6][7][8] The wear resistance of hybrid epoxy composites filled with submicron particles and nanoparticles (submicron-PTFE and nano-ZnO) was also investigated. [9] Inorganic particles enhance the mechanical properties of polymers.…”

Section: Introductionmentioning

confidence: 99%

Investigation of sub‐micron size cenosphere fillers and filler loading on the mechanical and tribological peculiarity of polyester composites

Singh

Siddhartha

Yadav³

2017

Polymers for Advanced Techs

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This paper investigates the effect of sub‐micron size cenosphere filler and filler loading on mechanical and dry sliding wear property of polyester composites. Composites are fabricated by filling with 10 and 20 wt% of 800 and 200‐nm size of cenosphere filler particles. Neat polyester composite is also prepared for comparison analysis. Dry sliding wear test is conducted for these composites over a range of sliding distance with different sliding velocities and applied loads on a pin‐on‐disc wear test machine. Taguchi methodology and analysis of variance (ANOVA) is used to analyze the friction and wear characteristics of the composites. The artificial neural network (ANN) approach is implemented to the friction and wear data for corroboration. In this work, mechanical properties of composites such as hardness, tensile strength, tensile modulus, flexural strength, and compressive strength revealed that mechanical properties and wear resistance of the composites increase with a decrease in the particle size. The measured Young's moduli are comparable to standard theoretical prediction models. The morphology of worn composite specimens has been examined by scanning electron microscopy to understand the dominant wear mechanisms. Finally, optimal factor settings are determined using a genetic algorithm (GA). Copyright © 2017 John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 99%

Investigation of sub‐micron size cenosphere fillers and filler loading on the mechanical and tribological peculiarity of polyester composites

Singh

Siddhartha

Yadav³

2017

Polymers for Advanced Techs

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“…), 7.0(Basu et al 2006, Chang and Chen 2007, Pauliukaite et al 2006) 7.4 (Claussen et al 2011, Jamal et al, 2010, Ryan et al 1997, Tian, et al 2009, Zhang et al 2006), 8.0 (Backer et al 2013) were also reported for glutamate enzyme electrodes.…”

mentioning

confidence: 69%

“…The best current response obtained at 60 C glutamate measurements were performed at body temperature (37 C) because the response current was stable between 35 and 40 C. Moreover, the repeatability of the calibration curves obtained over 40 C was not satisfactory. Different temperatures such as 37 C (Chang and Chen 2007), 35 C (Basu et al 2006, Batra and Pundir 2013, Rahman et al 2005, 42 C (Gholizadeh et al 2012), 25 C (Maalouf et al 2007, Tang et al 2007, Tian et al 2009) were selected as optimum for glutamate biosensors.…”

Section: Optimization Of Experimental Parametersmentioning

confidence: 99%

Graphene and tricobalt tetraoxide nanoparticles based biosensor for electrochemical glutamate sensing

Dalkıran

Erden

Kılıç

2016

Artificial Cells, Nanomedicine, and Biotechnology

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An amperometric biosensor based on tricobalt tetraoxide nanoparticles (CoO), graphene (GR), and chitosan (CS) nanocomposite modified glassy carbon electrode (GCE) for sensitive determination of glutamate was fabricated. Scanning electron microscopy was implemented to characterize morphology of the nanocomposite. The biosensor showed optimum response within 25 s at pH 7.5 and 37 °C, at +0.70 V. The linear working range of biosensor for glutamate was from 4.0 × 10 to 6.0 × 10 M with a detection limit of 2.0 × 10 M and sensitivity of 0.73 μA/mM or 7.37 μA/mMcm. The relatively low Michaelis-Menten constant (1.09 mM) suggested enhanced enzyme affinity to glutamate. The glutamate biosensor lost 45% of its initial activity after three weeks.

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“…This system can work in a reagent‐less electrochemical sensor since the substrate can be directly embedded in the sensor, reducing the sample handling steps. In this manner, AST can be detected in <5 min at biologically relevant levels, making this a promising approach (Chang & Chen, 2007; Guo et al., 2008; Hsueh et al., 2012).…”

Section: Tailored Biosensing Strategiesmentioning

confidence: 99%

Biomarkers and biosensors for the diagnosis of noncompliant pH, dark cutting beef predisposition, and welfare in cattle

Nelis

Bose

Broadbent

et al. 2022

Comp Rev Food Sci Food Safe

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Meat quality can be affected by stress, exhaustion, feed composition, and other physical and environmental conditions. These stressors can alter the pH in postmortem muscle, leading to high pH and low‐quality dark cutting (DC) beef, resulting in considerable economic loss. Moreover, the dark cutting prediction may equally provide a measure for animal welfare since it is directly related to animal stress. There are two needs to advance on‐site detection of dark cutters: (1) a clear indication that biomarker (signature compounds) levels in cattle correlate with stress and DC outcome; and (2) measuring these biomarkers rapidly and accurately on‐farm or the abattoir, depending on the objectives. This critical review assesses which small molecules and proteins have been identified as potential biomarkers of stress and dark cutting in cattle. We discuss the potential of promising small molecule biomarkers, including catecholamine/cortisol metabolites, lactate, succinate, inosine, glucose, and β‐hydroxybutyrate, and we identify a clear research gap for proteomic biomarker discovery in live cattle. We also explore the potential of chemical‐sensing and biosensing technologies, including direct electrochemical detection improved through nanotechnology (e.g., carbon and gold nanostructures), surface‐enhanced Raman spectroscopy in combination with chemometrics, and commercial hand‐held devices for small molecule detection. No current strategy exists to rapidly detect predictive meat quality biomarkers due to the need to further validate biomarkers and the fact that different biosensor types are needed to optimally detect different molecules. Nonetheless, several biomarker/biosensor combinations reported herein show excellent potential to enable the measurement of DC potential in live cattle.

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Effect of L-Aspartate Concentration on the Response of the Amperometric L-Glutamate Sensor for the Measurement of L-Glutamate and Aspartate Aminotransferase Activity in Serum

Cited by 7 publications

References 26 publications

Investigation of sub‐micron size cenosphere fillers and filler loading on the mechanical and tribological peculiarity of polyester composites

Investigation of sub‐micron size cenosphere fillers and filler loading on the mechanical and tribological peculiarity of polyester composites

Graphene and tricobalt tetraoxide nanoparticles based biosensor for electrochemical glutamate sensing

Biomarkers and biosensors for the diagnosis of noncompliant pH, dark cutting beef predisposition, and welfare in cattle

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