Application of a novel electrochemical fingerprint strategy leads to improved screening, allowing simultaneous detection of cocaine and cutting agents.
The World Health
Organization (WHO) model “List of Essential
Medicines” includes among indispensable medicines antibacterials
and pain and migraine relievers. Monitoring their concentration in
the environment, while challenging, is important in the context of
antibiotic resistance as well as their production of highly toxic
compounds via hydrolysis. Traditional detection methods such as high-performance
liquid chromatography (HPLC) or LC combined with tandem mass spectrometry
or UV–vis spectroscopy are time-consuming, have a high cost,
require skilled operators and are difficult to adapt for field operations.
In contrast, (electrochemical) sensors have elicited interest because
of their rapid response, high selectivity, and sensitivity as well
as potential for on-site detection. Previously, we reported a novel
sensor system based on a type II photosensitizer, which combines the
advantages of enzymatic sensors (high sensitivity) and photoelectrochemical
sensors (easy baseline subtraction). Under red-light illumination,
the photosensitizer produces singlet oxygen which oxidizes phenolic
compounds present in the sample. The subsequent reduction of the oxidized
phenolic compounds at the electrode surface gives rise to a quantifiable
photocurrent and leads to the generation of a redox cycle. Herein
we report the optimization in terms of pH and applied potential of
the photoelectrochemical detection of the hydrolysis product of paracetamol,
i.e., 4-aminophenol (4-AP), and two antibacterials, namely, cefadroxil
(CFD, β-lactam antibiotic) and doxycycline (DXC, tetracycline
antibiotic). The optimized conditions resulted in a detection limit
of 0.2 μmol L–1 for DXC, but in a 10 times
higher sensitivity, 20 nmol L–1, for CFD. An even
higher sensitivity, 7 nmol L–1, was noted for 4-AP.
The emergence of new psychoactive drugs in the market demands rapid and accurate tools for the on‐site classification of illegal and legal compounds with similar structures. Herein, a novel method for the classification of synthetic cathinones (SCs) is presented based on their electrochemical profile. First, the electrochemical profile of five common SC (i.e., mephedrone, ethcathinone, methylone, butylone, and 4‐chloro‐alpha‐pyrrolidinovalerophenone) is collected to build calibration curves using square wave voltammetry on graphite screen‐printed electrodes (SPEs). Second, the elucidation of the oxidation pathways, obtained by liquid chromatography–high‐resolution mass spectrometry, allows the pairing of the oxidation products to the SC electrochemical profile, providing a selective and robust classification. Additionally, the effect of common adulterants and illicit drugs on the electrochemical profile of the SC is explored. Interestingly, a cathodic pretreatment of the SPE allows the selective detection of each SC in presence of electroactive adulterants. Finally, the electrochemical approach is validated with gas chromatography–mass spectrometry by analyzing 26 confiscated samples from seizures and illegal webshops. Overall, the electrochemical method exhibits a successful classification of SC including structural derivatives, a crucial attribute in an ever‐diversifying drug market.
Herein, a straightforward electrochemical approach for the determination of ketamine in street samples and seizures is presented by employing screen-printed electrodes (SPE). Square wave voltammetry (SWV) is used to study the electrochemical behavior of the illicit drug, thus profiling the different oxidation states of the substance at different pHs. Besides, the oxidation pathway of ketamine on SPE is investigated for the first time with liquid chromatography−high-resolution mass spectrometry. Under the optimized conditions, the calibration curve of ketamine at buffer solution (pH 12) exhibits a sensitivity of 8.2 μA μM −1 , a linear relationship between 50 and 2500 μM with excellent reproducibility (RSD = 2.2%, at 500 μM, n = 7), and a limit of detection (LOD) of 11.7 μM. Subsequently, binary mixtures of ketamine with adulterants and illicit drugs are analyzed with SWV to investigate the electrochemical fingerprint. Moreover, the profile overlapping between different substances is addressed by the introduction of an electrode pretreatment and the integration of a tailor-made script for data treatment. Finally, the approach is tested on street samples from forensic seizures. Overall, this system allows for the on-site identification of ketamine by law enforcement agents in an easy-to-use and rapid manner on cargos and seizures, thereby disrupting the distribution channel and avoiding the illicit drug reaching the end-user.
This work describes a local induced near‐surface pH effect (pHS) arising from the presence of one analyte, leading to an influence or even suppression of redox signals of a second analyte present in solution. This concept and its impact on voltammetric sensing is illustrated by focusing on the detection of cocaine in the presence of the common adulterant benzocaine. An in‐depth study on the observed interference mechanism and its specificity for benzocaine and not for other adulterants was performed through the use of multiple electrochemical strategies. It was concluded that the potential shift and loss of intensity of the square‐wave voltammetric cocaine signal in the presence of benzocaine was caused by a local pHS effect. A cathodic pretreatment strategy was developed to nonetheless allow accurate cocaine detection. These insights are useful for explaining unidentified phenomena involving compounds with properties similar to benzocaine in voltammetric electroanalysis.
To address the lack in knowledge of the voltammetric behaviour of the cephalosporins antibiotics, a selection of cephalosporin antibiotics and two main intermediates were subjected to an electrochemical study of their redox behaviour by means of pulsed voltammetric techniques and small-scale electrolysis combined with HPLC-MS/MS analyses. Surprisingly, the detected oxidation products did not fit the earlier suggested oxidation of the sulfur group to the corresponding sulfoxide. The influence of different side chains, both at the three and the seven position of the β-lactam core structure on the electrochemical fingerprint were investigated. Additional oxidation signals at lower potentials were elucidated and linked to different side chains. These signals were further exploited to allow simultaneous detection of different cephalosporins in one voltammetric sweep. These fundamental insights can become the building blocks for an new on-site screening method.
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