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Makale detayı · 2023 · article

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

ISSN0031-8949
YÖKSİS OpenAlex Açık erişim · hybrid
Yıl2023
Atıf7OpenAlex
Yüzdelik%56,6
FWCI0,581,00 = dünya ortalaması
Scopus (SJR)Q2
WoS (JCR)Q2

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıPhysica Scripta
  • Katalog eşleşmesi (ISSN)Physica Scripta
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)

Özet

OpenAlex İngilizce

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.

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

7atıfOpenAlex · cited_by_count (önbellek / veritabanı)

Yerel katalogda bu makaleye atıf yapan 26 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

  1. 2024 Role of interfacial layer as PANI-silicene in Si-based photodiodesAtıf 22 · OpenAlex
  2. 2024 Role of interfacial layer as PANI–silicene in Si-based photodiodesAtıf 22 · OpenAlex
  3. 2024 Role of interfacial layer as PANI–silicene in Si-based photodiodesAtıf 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 SensorsAtıf 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 SensorsAtıf 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 SensorsAtıf 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 SensorsAtıf 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 SensorsAtıf 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 SensorsAtıf 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 SensorsAtıf 5 · OpenAlex

Yazarlar

6
  1. DİLBER ESRA YILDIZ 1
  2. GÜLSEN BAYTEMİR 2
  3. NEVİN TAŞALTIN MALTEPE ÜNİVERSİTESİ 3
  4. SELCAN KARAKUŞ 4
  5. GAMZE GÜRSU 5
  6. DURSUN ALİ KÖSE 6