Voltammetric Sensing of Caffeine in Food Sample Using Cu‐MOF and Graphene

Venkadesh, A.; Mathiyarasu, J.; Radhakrishnan, Shankar

doi:10.1002/elan.202060488

Cited by 18 publications

(8 citation statements)

References 45 publications

(50 reference statements)

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“…00‐062‐1183). [ 22 ] The major peaks of Cu‐MOF disappeared after laser patterning and fingerprint peaks corresponding to the metallic Cu were noticed at the 2 θ value of 43.4 (111), 50.5 (200), and 74.2° (220). [ 11,23 ] Besides, the intensity of the Cu peak increases as the laser fluence increases, which could be attributed to higher amounts of Cu(II) reducing to the metallic Cu.…”

Section: Resultsmentioning

confidence: 99%

Fabrication of Porous Non‐Enzymatic Glucose Sensing Electrodes Through Nanosecond‐Laser Patterning of Metal–Organic Frameworks

Arthanari,

Sivaprakasam,

Park

et al. 2024

Adv Materials Technologies

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Nanosecond laser patterning of Copper Metal–Organic Framework (Cu‐MOF) coated substrates is performed to fabricate non‐enzymatic glucose sensing electrodes. The Cu‐MOF coated glass substrate with a cover glass is subjected to a laser patterning process; the amount of MOF, laser fluence, and scan speeds mainly influenced the patterning process. The electrodes are fabricated on coated and covered glass with varying electrical conductivity due to the high laser energy absorptivity. The patterned electrodes consist of graphitic carbon incorporated with nano‐Cu and show a stable electrical conductivity on the coated substrates. The electrodes are chemically active in the Fe2+/Fe3+ redox system; however, their activity varies with patterning conditions. The electrochemical studies in alkaline electrolytes reveal that the as‐fabricated electrodes can sense the glucose molecule in the linear concentration range of 0.025–1.0 and 1.0–10.0 mm, with a maximum sensitivity of 3260.3 µA mM−1 cm−2 and a response time of no more than 5 s, and a limit of detection (LOD) of 0.25 µm. The current recovery rate is higher (> 80%) when adding glucose molecules than when adding other interference molecules, confirming that the electrode is selective toward glucose sensing. The results reveal that the fabricated electrodes act as stable, reusable, non‐enzymatic glucose‐sensing electrodes.

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Section: Resultsmentioning

confidence: 99%

Fabrication of Porous Non‐Enzymatic Glucose Sensing Electrodes Through Nanosecond‐Laser Patterning of Metal–Organic Frameworks

Arthanari,

Sivaprakasam,

Park

et al. 2024

Adv Materials Technologies

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“…It is well known that graphene, as a star representative of 2D materials, is widely sought after because of its large specific surface area and high electrical conductivity [311] . In 2020, Venkadesh et al prepared Cu-MOF/graphene hybrids using solvothermal and electrochemical methods [312] .…”

Section: Mofs/carbidesmentioning

confidence: 99%

Recent progress in strategies for preparation of metal-organic frameworks and their hybrids with different dimensions

2022

Chem Synth

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As a new kind of organic-inorganic hybrid porous material, metal-organic frameworks (MOFs) exhibit a wide application prospect in gas storage and separation, catalysis and sensing due to their characteristics of large specific surface area, high porosity and coordination unsaturation. As more and more types of MOFs were reported, the synthetic strategies of MOFs-based materials have become a hot research topic. According to the morphological dimension, MOFs can be roughly divided into one-dimensional, two-dimensional and three-dimensional structures. Herein, we summarize the synthetic methods and principles of MOFs from multi-dimensional perspectives, and explore the growth mechanism of MOFs with different morphologies based on dynamic and thermodynamic tuning. Finally, based on the above summaries, the challenges and opportunities of MOFs in the future are discussed.

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“…It might be very important to measure CAF levels for quality control, health reasons and labeling regulations. Even when using the same coffee beans, several variables can affect how much CAF is extracted from them (Venkadesh et al 2021). Murugan and Dhamodharan demonstrated the use of DPV detection to quantify CAF in complicated samples, both selectively and separately (Murugan and Dhamodharan 2021).…”

Section: Introductionmentioning

confidence: 99%

Electrochemically active via f-MWCNTs for finding caffeine in beverages

Chen,

Ye,

et al. 2024

Preprint

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In several industries, such as food, pharmaceuticals, and environmental protection, the identification of analytes at extremely low concentrations is essential. In the food standardization field, electrochemical sensors are one of the key technologies for determining food quality and making medical diagnoses. Sensor design is dependent on electrochemically active characteristics of the selected material to alter the electrode. For rapid and accurate detection of caffeine (CAF), we technologically built an electrochemical sensor based on functionalized multi-walled carbon nanotubes (f-MWCNTs/GCE). The functionalized material was characterized by XRD, Raman, FT-IR, FE-SEM, HR-TEM, EDX and the mapping of elements. The component’s natural virtue and cooperative connection demonstrate enhanced electrocatalytic activity, as evidenced by the component’s decreased overpotential, increased electron transfer, improved sensing and selectivity, broad linear range, and low detection limit toward the selected analyte. CAF was found to have broad linear ranges of concentrations 5.3 to 166 µM, with detection limits of 0.043 µM. 9.13 µA. µm− 1 is the designed electrode's sensitivity. High selectivity, stability, repeatability and reproducibility were also demonstrated by the electrode. Crucially, the investigation was effective in identifying and measuring the aforementioned element in authentic specimens. In addition, the sensor demonstrated efficacy in detecting CAF in drinks, yielding good recoveries ranging from 96.4–102.4%. This suggests that the sensor holds desirable potential for identifying CAF real substances.

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Voltammetric Sensing of Caffeine in Food Sample Using Cu‐MOF and Graphene

Cited by 18 publications

References 45 publications

Fabrication of Porous Non‐Enzymatic Glucose Sensing Electrodes Through Nanosecond‐Laser Patterning of Metal–Organic Frameworks

Fabrication of Porous Non‐Enzymatic Glucose Sensing Electrodes Through Nanosecond‐Laser Patterning of Metal–Organic Frameworks

Recent progress in strategies for preparation of metal-organic frameworks and their hybrids with different dimensions

Electrochemically active via f-MWCNTs for finding caffeine in beverages

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