Simultaneous electrochemical determination of morphine and methadone by using CMK-5 mesoporous carbon and multivariate calibration

Habibi, Mohammad Mehdi; Ghasemi, Jahan B.; Badiei, Alireza; Norouzi, Parviz

doi:10.1038/s41598-022-12506-9

Cited by 16 publications

(8 citation statements)

References 50 publications

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“…Often, in the literature, they are simultaneously determined with morphine. Such studies are shown for the determination of morphine and codeine by Wester et al [ 2 ] and Bagheri et al [ 25 ]; morphine and methadone by Habibi et al [ 26 ]; monoacetylmorphine, morphine, and codeine by Gerostamoulos et al [ 27 ]; and morphine and fentanyl by Nazari and Eshaghi [ 28 ]… These compounds were selected as most commonly found in the biological fluid samples. Selected organic compounds in a ratio of 1:1 have an impact on the determination of MORPH.…”

Section: Resultsmentioning

confidence: 99%

Electrochemical Determination of Morphine in Urine Samples by Tailoring FeWO4/CPE Sensor

et al. 2022

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Morphine (MORPH) is natural alkaloid and mainly used as a pain reliever. Its monitoring in human body fluids is crucial for modern medicine. In this paper, we have developed an electrochemical sensor for submicromolar detection of MORPH. The sensor is based on modified carbon paste electrode (CPE) by investigating the FexW1-xO4 ratio in iron tungstate (FeWO4), as well as the ratio of this material in CPE. For the first time, the effect of the iron–tungsten ratio in terms of achieving the best possible electrochemical characteristics for the detection of an important molecule for humans was examined. Morphological and electrochemical characteristics of materials were studied. The best results were obtained using Fe1W3 and 7.5% of modifier in CPE. For MORPH detection, square wave voltammetry (SWV) was optimized. Under the optimized conditions, Fe1W3@CPE resulted in limit of detection (LOD) of the method of 0.58 µM and limit of quantification (LOQ) of 1.94 µM. The linear operating range between 5 and 85 µM of MORPH in the Britton–Robinson buffer solution (BRBS) at pH 8 as supporting electrolyte was obtained. The Fe1W3@CPE sensor resulted in good selectivity and excellent repeatability with relative standard deviation (RSD) and was applied in real-world samples of human urine. Application for direct MORPH detection, without tedious sample pretreatment procedures, suggests that developed electrochemical sensor has appeared to be a suitable competitor for efficient, precise, and accurate monitoring of the MORPH in biological fluids.

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Section: Resultsmentioning

confidence: 99%

Electrochemical Determination of Morphine in Urine Samples by Tailoring FeWO4/CPE Sensor

et al. 2022

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“…The current research focus has shifted to miniaturized gas sensors with multiple independent outputs to recognize different gases. , These sensors can be developed based on a subset of sensing materials that are already applied to single-output sensors (e.g., catalytic-combustion, electrochemical, chemiresistive, and optical/photonic − ) owing to their diverse vapor responses. Of all these, solid-state optical gas sensors stand out for their unique advantages such as cost competitiveness, low energy requirement, compactness, and molecular-level sensitivity.…”

Section: Introductionmentioning

confidence: 99%

Detection of Volatile Organic Compounds through Spectroscopic Signatures in Nanoporous Fabry–Pérot Optical Microcavities

Tran,

Lim

et al. 2024

ACS Appl. Mater. Interfaces

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Increasingly complex modern gas-monitoring scenarios necessitate advanced sensing capabilities to detect and identify a diverse range of gases under varying conditions. There is a rising demand for individual sensors with multiple responses capable of recognizing gases, identifying components in mixtures, and providing stable responses. Inspired by gas sensors employing multivariable response principles, we develop a nanoporous anodic alumina high-order microcavity (NAA-HOμCV) gas sensor with multiple optical outputs for discriminative gas detection. The NAA-HOμCV architecture, formed by a Fabry−Peŕot microcavity with distributed Bragg reflector (DBR) mirrors and an extendedlength microcavity layer supporting multiple resonant modes, serves as an effective solid-state fingerprint platform for distinguishing volatile organic compound (VOC) gases. Our research reveals that the coupling strength of light into resonant modes and their evolution depend on the thickness of the DBR mirrors and the dimension of the microcavity layer, which allows us to optimize the discriminative sensing capability of the NAA-HOμCV sensor through structural engineering of the microcavity and photonic crystal mirrors. Gas-sensing experiments conducted on the NAA-HOμCV sensor demonstrate real-time discrimination between physiosorbed VOC gases (isopropanol, ethanol, or acetone) in reversible gas sensing. It also achieves superior ppb-level sensing in irreversible gas sensing of model silane molecules. Our study presents promising avenues for designing compact, cost-effective, and highly efficient gas sensors with tailored properties for discriminative gas detection.

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“…This approach offers several advantages, making it a popular choice in analytical applications. It effectively utilizes the complete range of response profiles, enabling fast detection of mixture components, mitigating the impact of interface effects, disregarding the concentration of non-selected analytes, and significantly improving overall performance 45 – 47 .…”

Section: Introductionmentioning

confidence: 99%

“…In our prior research, we engineered the glassy carbon electrode via functionalization with CMK-5 ordered mesoporous structure, facilitating the simultaneous quantification of MOR and MET. This modification, employing g-C 3 N 4 -CNT-GCE, yielded a notably enhanced efficacy and stability for concurrent analytical detection objectives 47 . The fabricated sensors were subjected to comprehensive analyses, exploring their structural and electrochemical attributes.…”

Section: Introductionmentioning

confidence: 99%

Machine learning-enhanced drug testing for simultaneous morphine and methadone detection in urinary biofluids

Habibi,

Mousavi,

Shekofteh-Gohari

et al. 2024

Sci Rep

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The simultaneous identification of drugs has considerable difficulties due to the intricate interplay of analytes and the interference present in biological matrices. In this study, we introduce an innovative electrochemical sensor that overcomes these hurdles, enabling the precise and simultaneous determination of morphine (MOR), methadone (MET), and uric acid (UA) in urine samples. The sensor harnesses the strategically adapted carbon nanotubes (CNT) modified with graphitic carbon nitride (g-C3N4) nanosheets to ensure exceptional precision and sensitivity for the targeted analytes. Through systematic optimization of pivotal parameters, we attained accurate and quantitative measurements of the analytes within intricate matrices employing the fast Fourier transform (FFT) voltammetry technique. The sensor’s performance was validated using 17 training and 12 test solutions, employing the widely acclaimed machine learning method, partial least squares (PLS), for predictive modeling. The root mean square error of cross-validation (RMSECV) values for morphine, methadone, and uric acid were significantly low, measuring 0.1827 µM, 0.1951 µM, and 0.1584 µM, respectively, with corresponding root mean square error of prediction (RMSEP) values of 0.1925 µM, 0.2035 µM, and 0.1659 µM. These results showcased the robust resiliency and reliability of our predictive model. Our sensor’s efficacy in real urine samples was demonstrated by the narrow range of relative standard deviation (RSD) values, ranging from 3.71 to 5.26%, and recovery percentages from 96 to 106%. This performance underscores the potential of the sensor for practical and clinical applications, offering precise measurements even in complex and variable biological matrices. The successful integration of g-C3N4-CNT nanocomposites and the robust PLS method has driven the evolution of sophisticated electrochemical sensors, initiating a transformative era in drug analysis.

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Simultaneous electrochemical determination of morphine and methadone by using CMK-5 mesoporous carbon and multivariate calibration

Cited by 16 publications

References 50 publications

Electrochemical Determination of Morphine in Urine Samples by Tailoring FeWO4/CPE Sensor

Electrochemical Determination of Morphine in Urine Samples by Tailoring FeWO4/CPE Sensor

Detection of Volatile Organic Compounds through Spectroscopic Signatures in Nanoporous Fabry–Pérot Optical Microcavities

Machine learning-enhanced drug testing for simultaneous morphine and methadone detection in urinary biofluids

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