Correction to "Engineering of CuMOF-SWCNTs@AuNPs-Based Electrochemical Sensors for Ultrasensitive and Selective Monitoring of Imatinib in Human Serum".

[This corrects the article DOI: 10.1021/acsomega.3c08002.].

Engineering of CuMOF-SWCNTs@AuNPs-Based Electrochemical Sensors for Ultrasensitive and Selective Monitoring of Imatinib in Human Serum.

Imatinib (IMA) is a common chemotherapy drug for the treatment of leukemia and can potentially lead to drug resistance and toxicity during the course of treatment. Monitoring IMA concentrations in body fluids is necessary to optimize therapeutic schedules and avoid overdosage. In this paper, a novel ultrasensitive electrochemical sensor based on CuMOF and SWCNTs@AuNPs was developed to determine this antileukemic drug. Herein, AuNPs were supported on carboxylic single-walled carbon nanotubes (SWCNT-COOH), and then poly(diallyldimethylammonium chloride) (PDDA) was used as a dispersant to overcome the internal van der Waals interactions among the CNTs, further increasing the AuNP loading. Moreover, the morphology, structure, composition, and electrochemical properties of the CuMOF-SWCNTs@AuNPs composite film were characterized using SEM, TEM, FT-IR, UV-vis, XRD, XPS, CV, and EIS. Due to the advantage of the superior electrocatalytic and conductive properties of SWCNTs@AuNPs and their preferable adsorptivity and affinity to IMA of CuMOF, the fabricated glassy carbon electrode significantly improved the determination performance via their synergetic amplified effect. Under optimal conditions, a wide linear response was exhibited in the range from 0.05 to 20.0 µM and the low detection limit of 5.2 nM. In addition, our prepared sensor has been applied to the analysis of IMA in blood serum samples with acceptable results. Therefore, our CuMOF-SWCNTs@AuNPs-based electrochemical sensor possessed prominent sensing responses for IMA, which could be used as a prospective approach in clinical application.

Facile and Sensitive Acetylene Black-Based Electrochemical Sensor for the Detection of Imatinib.

A facile and sensitive electrochemical sensor for determining imatinib (IMA) was constructed by modifying a glassy carbon electrode (GCE) with a nanocarbon material, acetylene black (AB). The electrochemical behavior of IMA on the prepared GCE/AB was studied using electrochemical techniques, namely, differential pulse voltammetry (DPV) and electrochemical impedance spectroscopy. The direct determination of IMA by the GCE/AB sensor was accomplished using DPV under optimized conditions. The method verification showed that the oxidation peak current was proportional to the concentrations of IMA in the linear ranges of 0.01-0.5 and 0.5-4 µM, with correlation coefficients of 0.9856 and 0.9946, respectively. The limit of detection of the GCE/AB sensor was 0.15 nM. Moreover, the GCE/AB sensor showed good precision and accuracy. Finally, the GCE/AB sensor was successfully applied to determine IMA in human serum samples, and the recoveries were satisfactory.

Sensitivity enhancement of a Cu (II) metal organic framework-acetylene black-based electrochemical sensor for ultrasensitive detection of imatinib in clinical samples.

Imatinib (IMB), an anticancer drug, is extensively used for chemotherapy to improve the quality of life of cancer patients. The aim of therapeutic drug monitoring (TDM) is to guide and evaluate the medicinal therapy, and then optimize the clinical effect of individual dosing regimens. In this work, a highly sensitive and selective electrochemical sensor based on glassy carbon electrode (GCE) modified with acetylene black (AB) and a Cu (II) metal organic framework (CuMOF) was developed to measure the concentration of IMB. CuMOF with preferable adsorbability and AB with excellent electrical conductivity functioned cooperatively to enhance the analytical determination of IMB. The modified electrodes were characterized using X-rays diffraction (XRD), X-ray photoelectron spectroscopy (XPS), fourier transform infrared (FT-IR), ultraviolet and visible spectrophotometry (UV-vis), electrochemical impedance spectroscopy (EIS), scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDS), brunauer‒emmett‒teller (BET) and barrett‒joyner‒halenda (BJH) techniques. Analytical parameters such as the ratio of CuMOF to AB, dropping volumes, pH, scanning rate and accumulation time were investigated through cyclic voltammetry (CV). Under optimal conditions, the sensor exhibited an excellent electrocatalytic response for IMB detection, and two linear detection ranges were obatined of 2.5 nM-1.0 µM and 1.0-6.0 µM with a detection limit (DL) of 1.7 nM (S/N = 3). Finally, the good electroanalytical ability of CuMOF-AB/GCE sensor facilitated the successful determination of IMB in human serum samples. Due to its acceptable selectivity, repeatability and long-term stability, this sensor shows promising application prospects in the detection of IMB in clinical samples.

Magnetic Molecularly Imprinted Polymers for the Rapid and Selective Extraction and Detection of Methotrexatein Serum by HPLC-UV Analysis.

In this work, novel selective recognition materials, namely magnetic molecularly imprinted polymers (MMIPs), were prepared. The recognition materials were used as pretreatment materials for magnetic molecularly imprinted solid-phase extraction (MSPE) to achieve the efficient adsorption, selective recognition, and rapid magnetic separation of methotrexate (MTX) in the patients' plasma. This method was combined with high-performance liquid chromatography-ultraviolet detection (HPLC-UV) to achieve accurate and rapid detection of the plasma MTX concentration, providing a new method for the clinical detection and monitoring of the MTX concentration. The MMIPs for the selective adsorption of MTX were prepared by the sol-gel method. The materials were characterized by transmission electron microscopy, Fourier transform-infrared spectrometry, X-ray diffractometry, and X-ray photoelectron spectrometry. The MTX adsorption properties of the MMIPs were evaluated using static, dynamic, and selective adsorption experiments. On this basis, the extraction conditions were optimized systematically. The adsorption capacity of MMIPs for MTX was 39.56 mgg-1, the imprinting factor was 9.40, and the adsorption equilibrium time was 60 min. The optimal extraction conditions were as follows: the amount of MMIP was 100 mg, the loading time was 120 min, the leachate was 8:2 (v/v) water-methanol, the eluent was 4:1 (v/v) methanol-acetic acid, and the elution time was 60 min. MTX was linear in the range of 0.00005-0.25 mg mL-1, and the detection limit was 12.51 ng mL-1. The accuracy of the MSPE-HPLC-UV method for MTX detection was excellent, and the result was consistent with that of a drug concentration analyzer.

YaTCM: Yet another Traditional Chinese Medicine Database for Drug Discovery.

Traditional Chinese Medicine (TCM) has a long history of widespread clinical applications, especially in East Asia, and is becoming frequently used in Western countries. However, owing to extreme complicacy in both chemical ingredients and mechanism of action, a deep understanding of TCM is still difficult. To accelerate the modernization and popularization of TCM, a single comprehensive database is required, containing a wealth of TCM-related information and equipped with complete analytical tools. Here we present YaTCM (Yet another Traditional Chinese Medicine database), a free web-based toolkit, which provides comprehensive TCM information and is furnished with analysis tools. YaTCM allows a user to (1) identify the potential ingredients that are crucial to TCM herbs through similarity search and substructure search, (2) investigate the mechanism of action for TCM or prescription through pathway analysis and network pharmacology analysis, (3) predict potential targets for TCM molecules by multi-voting chemical similarity ensemble approach, and (4) explore functionally similar herb pairs. All these functions can lead to one systematic network for visualization of TCM recipes, herbs, ingredients, definite or putative protein targets, pathways, and diseases. This web service would help in uncovering the mechanism of action of TCM, revealing the essence of TCM theory and then promoting the drug discovery process. YaTCM is freely available at http://cadd.pharmacy.nankai.edu.cn/yatcm/home.

GCDB: a glaucomatous chemogenomics database for in silico drug discovery.

Glaucoma is a group of neurodegenerative diseases that can cause irreversible blindness. The current medications, which mainly reduce intraocular pressure to slow the progression of disease, may have local and systemic side effects. Recently, medications with possible neuroprotective effects have attracted much attention. To assist in the identification of new glaucoma drugs, we created a glaucomatous chemogenomics database (GCDB; http://cadd.pharmacy.nankai.edu.cn/gcdb/home) in which various glaucoma-related chemogenomics data records are assembled, including 275 genes, 105 proteins, 83 approved or clinical trial drugs, 90 206 chemicals associated with 213 093 records of reported bioactivities from 22 324 corresponding bioassays and 5630 references. Moreover, an improved chemical similarity ensemble approach computational algorithm was incorporated in the GCDB to identify new targets and design new drugs. Further, we demonstrated the application of GCDB in a case study screening two chemical libraries, Maybridge and Specs, to identify interactions between small molecules and glaucoma-related proteins. Finally, six and four compounds were selected from the final hits for in vitro human glucocorticoid receptor (hGR) and adenosine A3 receptor (A3AR) inhibitory assays, respectively. Of these compounds, six were shown to have inhibitory activities against hGR, with IC50 values ranging from 2.92-28.43 µM, whereas one compoundshowed inhibitory activity against A3AR, with an IC50 of 6.15 µM. Overall, GCDB will be helpful in target identification and glaucoma chemogenomics data exchange and sharing, and facilitate drug discovery for glaucoma treatment.