Skip to content
akaturk Academic measurement

Article detail · 2023 · article

PANI: Ni(Leu)2 based non-enzymatic electrochemical dopamine sensor

Journal Physica Scripta
ISSN0031-8949
YÖKSİS OpenAlex Open access · hybrid SJR Q2 JCR Q2
Year2023
Citations7OpenAlex
Percentile%56.6
FWCI0.581.00 = world average
Scopus (SJR)Q2
WoS (JCR)Q2

Data source split

  • YÖKSİSYÖKSİS article record
  • YÖKSİS venuePHYSICA SCRIPTA
  • Catalog match (ISSN)Physica Scripta
  • OpenAlexOpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex English

Abstract In this study, metal complexes of Leucine (Leu) and Tryptophan (Trip), namely nickel(Leucine)2 (Ni(Leu)2), zinc(Leucine)2 (Zn(Leu)2), cobalt(Leucine)2 (Co(Leu)2), copper(Leucine)2 (Cu(Leu)2), nickel(Tryptophan)2 (Ni(Trip)2), zinc(Tryptophan)2 (Zn(Trip)2), cobalt(Tryptophan)2 (Co(Trip)2), and copper(Tryptophan)2 (Cu(Trip)2), were synthesized. These complexes were then utilized to fabricate nanocomposites (NCs) based on polyaniline (PANI) through a straightforward sonochemical technique. These NCs were then used to fabricate non-enzymatic electrochemical sensors for detecting dopamine (DOP). The results indicate that the PANI:Ni(Leu)2 NCs based sensor has a high sensitivity of 28.47 μAμM−1 cm−2 and a low limit of detection (LOD) of 9.24 μM. Also, the sensor was tested against fructose, glucose, lactose, and maltose. The sensitivities of the sensor against fructose, glucose, and lactose were calculated as 2.90 μAcm−2 mM−1, 2.14 μAcm−2 mM−1, 2.81 μAcm−2 mM−1, respectively. Due to the use of Ni(Leu)2 composition, the DOP detection sensitivity was higher in PANI:Ni(Leu)2 NCs which can be explained by an enhanced redox mechanism. Furthermore, PANI:Ni(Leu)2 sensor is selectively detect DOP. The PANI:Ni(Leu)2 NCs based sensor is a particularly promising candidate for application in biomedical test kits due to its rapid detection.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

7citationsOpenAlex · cited_by_count (cache / database)

26 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).

  1. 2024 Role of interfacial layer as PANI-silicene in Si-based photodiodesCitations 22 · OpenAlex
  2. 2024 Role of interfacial layer as PANI–silicene in Si-based photodiodesCitations 22 · OpenAlex
  3. 2024 Role of interfacial layer as PANI–silicene in Si-based photodiodesCitations 22 · OpenAlex
  4. 2024 Impact of Nitro Substituents on Dopamine Sensing and Nanostructure Morphology: A Machine Learning Approach for PANI:2-and 3-Nitro-1H-Pyrrole Nanocomposite SensorsCitations 6 · OpenAlex
  5. 2024 Impact of Nitro Substituents on Dopamine Sensing and Nanostructure Morphology: A Machine Learning Approach for PANI:2- and 3-Nitro-1H-Pyrrole Nanocomposite SensorsCitations 6 · OpenAlex
  6. 2024 Impact of Nitro Substituents on Dopamine Sensing and Nanostructure Morphology: A Machine Learning Approach for PANI:2- and 3-Nitro-1H-Pyrrole Nanocomposite SensorsCitations 6 · OpenAlex
  7. 2024 Impact of Nitro Substituents on Dopamine Sensing and Nanostructure Morphology: A Machine Learning Approach for PANI:2- and 3-Nitro-1H-Pyrrole Nanocomposite SensorsCitations 6 · OpenAlex
  8. 2024 Impact of Nitro Substituents on Dopamine Sensing and Nanostructure Morphology: A Machine Learning Approach for PANI:2- and 3-Nitro-1H-Pyrrole Nanocomposite SensorsCitations 5 · OpenAlex
  9. 2024 Impact of Nitro Substituents on Dopamine Sensing and Nanostructure Morphology: A Machine Learning Approach for PANI:2-and 3-Nitro-1H-Pyrrole Nanocomposite SensorsCitations 5 · OpenAlex
  10. 2024 Impact of Nitro Substituents on Dopamine Sensing and Nanostructure Morphology: A Machine Learning Approach for PANI:2- and 3-Nitro-1H-Pyrrole Nanocomposite SensorsCitations 5 · OpenAlex

Authors

4
  1. DİLBER ESRA YILDIZ 1
  2. NEVİN TAŞALTIN MALTEPE ÜNİVERSİTESİ 2
  3. SELCAN KARAKUŞ 3
  4. DURSUN ALİ KÖSE 4