Nitrogen-doped carbon frameworks decorated with palladium nanoparticles for simultaneous electrochemical voltammetric determination of uric acid and dopamine in the presence of ascorbic acid

Ultrasensitive and Simple Dopamine Electrochemical Sensor Based on the Synergistic Effect of Cu-TCPP Frameworks and Graphene Nanosheets

Dopamine (DA) is an important neurotransmitter. Abnormal concentration of DA can result in many neurological diseases. Developing reliable determination methods for DA is of great significance for the diagnosis and monitoring of neurological diseases. Here, a novel and simple electrochemical sensing platform for quantitative analysis of DA was constructed based on the Cu-TCPP/graphene composite (TCPP: Tetrakis(4-carboxyphenyl)porphyrin). Cu-TCPP frameworks were selected in consideration of their good electrochemical sensing potential. The graphene nanosheets with excellent conductivity were then added to further improve the sensing efficiency and stability of Cu-TCPP frameworks. The electrochemical properties of the Cu-TCPP/graphene composite were characterized, showing its large electrode active area, fast electron transfer, and good sensing performance toward DA. The signal enhancement mechanism of DA was explored. Strong accumulation ability and high electrocatalytic rate were observed on the surface of Cu-TCPP/graphene-modified glassy carbon electrode (Cu-TCPP/graphene/GCE). Based on the synergistic sensitization effect, an ultrasensitive and simple DA electrochemical sensor was developed. The linear range is 0.02–100 and 100–1000 µM, and the detection limit is 3.6 nM for the first linear range. It was also successfully used in detecting DA in serum samples, and a satisfactory recovery was obtained.

Network Pharmacology-Based Prediction and Verification of Shikonin for the mechanism treating colorectal cancer

BACKGROUND

Shikonin (SKN), a naturally occurring naphthoquinone, is a major active chemical component isolated from Lithospermum erythrorhizon Sieb Zucc, Arnebia euchroma (Royle) Johnst, or Arnebia guttata Bunge, and commonly used to treat viral infection, inflammation, and cancer. However, the underlying mechanism has not been elucidated.

OBJECTIVE

This study aims to explore the antitumor mechanism of SKN in colorectal cancer (CRC) through network pharmacology and cell experiments.

METHODS

Using SymMap database and Genecards to predict the potential targets of SKN and CRC, while the cotargets were obtained by Venn diagram. The cotargets were imported into website of String and DA DAVID, constructing the protein-protein interaction (PPI) network, performing Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, the Compound-Target-Pathway (C-T-P) network was generated by connecting potential pathways with the corresponding targets.

RESULTS

According to the results of network pharmacological analysis, the cell experiments were used to verify the key signal pathway. The most relevant target of SKN for the treatment of CRC was PI3K/Akt signaling pathway. SKN inhibited CRC cells (HT29 and HCT116) proliferation, migration, and invasion, and promoted cell apoptosis by targeting IL6 and inhibiting the IL6R/PI3K/Akt signaling pathway. SKN promotes apoptosis and suppresses CRC cells (HT29 and HCT116) activity through the PI3K-Akt signaling pathway.

CONCLUSION

This research not only provides a theoretical and experimental basis for more in-depth studies but also offers an efficient method for the rational utilization of a series of Traditional Chinese medicines as anti-CRC drugs.

Lithium cobalt phosphate electrode for the simultaneous determination of ascorbic acid, dopamine, and serum uric acid by differential pulse voltammetry

Lithium cobalt phosphate (LCP) was prepared and modified on the surface of glassy carbon electrode (GCE) to fabricate the electrochemical sensor (LCP/GCE) for the simultaneous determination of ascorbic acid (AA), dopamine (DA), and serum uric acid (UA). The homogenous incorporation of carbon improved the conductivity of LCP. Benefiting from the small particle size distribution, LCP/GCE has a large active surface and responds to AA, DA, and UA sensitively and rapidly. For the simultaneous detection with differential pulse voltammetry the anodic peaks of AA, DA, and UA were well-separated and appeared at ~0 V, ~0.19 V, and ~ 0.33 V (vs. Ag/AgCl), respectively. The linear responses toward AA, DA, and UA were in the range 10 μM-8.0 mM, 10 nM-10 μM, and 0.020 μM-25 μM; the detection limits were estimated to be 8.10 μM, 7.50 nM, and 22.7 nM (S/N = 3), respectively. The excellent selectivity and reproducibility of LCP/GCE enable serum UA to be detected without the interference of AA and DA. The recoveries of DA and AA in the serum sample were in the range 95 to 111%. The results indicate that LCP has the potential to be developed as the sensing devices to be applied to in vitro diagnosis. The lithium-ion battery cathodic material, LCP with the excellent adsorption and catalytic behavior, was utilized to fabricate the electrochemical sensor for the sensitive and simultaneous detection of AA, DA, and UA, which achieved the low detection limits and the wide concentration ranges. LCP/GCE can be used for the quantitative detection of serum UA without the interference of DA and AA. In addition, the recoveries of DA and AA in human serum were satisfactory, which illustrate the reliability of LCP/GCE to be applied to in vitro diagnosis.

A sensitive method to determine dopamine in the presence of uric acid based on In2O3 nanosheet arrays grown on 3D graphene

A nonenzymatic voltammetric assay for dopamine (DA) was developed based on the combination of three-dimensional graphene (3D Gr) and indium oxide nanosheet arrays (In₂O₃ NSAs). 3D Gr was prepared by chemical vapor deposition (CVD), and In₂O₃ NSAs were grown on its surface by hydrothermal synthesis. The results show that 3D Gr maintains a good porous structure (200 μm), and the pore size of In₂O₃ NSAs is 0.50 μm. Differential pulse voltammetry (DPV) is mainly used to determine the electrochemical properties of In₂O₃ NSAs/3D Gr. It possesses a sensitivity of 2.69 μA·μM^-1·cm^-2 towards DA (5-60 μM) at 0.14 V, and the detection limit (LOD) is 0.10 μM (S/N = 3). The recoveries obtained for spiked samples in the real sample detection is 105 (± 8)%. Graphical abstractSchematic representation of DA sensitive detection by growing In₂O₃ nanosheets arrays on three-dimentional graphene modified ITO.