Optimization of the qualitative and quantitative analysis of cocaine and other drugs of abuse via gas chromatography – Vacuum ultraviolet spectrophotometry (GC – VUV)

Roberson, Zackery R.; Goodpaster, John V.

doi:10.1016/j.talanta.2020.121461

Cited by 16 publications

(5 citation statements)

References 34 publications

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“…For quantitative monitoring of 5-CP, precise and reliable determination methods based on several chromatographic techniques have already been proposed. [5][6][7][8] However, they are expensive and time-consuming, need a skilled operator, and are hard to implement. 9,10 Alternatively, spectrophotometry has been investigated for 5-CP sensing.…”

Section: Introductionmentioning

confidence: 99%

Sensitive rGO/MOF based electrochemical sensor for penta-chlorophenol detection: a novel artificial neural network (ANN) application

Meskher

Achi

et al. 2022

Sens. Diagn.

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Section: Introductionmentioning

confidence: 99%

Sensitive rGO/MOF based electrochemical sensor for penta-chlorophenol detection: a novel artificial neural network (ANN) application

Meskher

Achi

et al. 2022

Sens. Diagn.

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“…The tertiary structure and surface potential distribution of PtHMGR ( Fig 20 ) and PtCHS ( Fig 21 ) were obtained by SWISS-MODEL and PyMOL. The colored regions can be used to evaluate the electrophilic and nucleophilic potential of the tertiary structures, and white, blue, and red separately represented neutral, nucleophilic, and electrophilic centers,respectively [ 47 , 48 ]. The PtHMGR color codes ranged from -66.234 a.u.…”

Section: Resultsmentioning

confidence: 99%

HMGR and CHS gene cloning, characterizations and tissue-specific expressions in Polygala tenuifolia Willd

Liu,

Ma,

Mao

et al. 2024

PLoS ONE

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Triterpenoid saponins and flavonoids have several pharmacological activities against P. tenuifolia. The 3-hydroxy-3-methylglutaryl-CoA reductase (HMGR) and chalcone synthase (CHS) are the rate-limiting enzymes of triterpenoid saponin and flavonoid biosynthesis, respectively. In this study, HMGR and CHS genes were cloned from P. tenuifolia, and their bioinformatics analyses and tissue-specific expression were investigated. The results showed that the HMGR and CHS genes were successfully cloned, separately named the PtHMGR gene (NCBI accession: MK424118) and PtCHS gene (NCBI accession: MK424117). The PtHMGR gene is 2323 bp long, has an open reading frame (ORF) of 1782 bp, and encods 593 amino acids. The PtCHS gene is 1633 bp long with an ORF of 1170 bp, encoding 389 amino acids. PtHMGR and PtCHS were both hydrophobic, not signal peptides or secreted proteins, containing 10 conserved motifs. PtHMGR and PtCHS separately showed high homology with HMGR and CHS proteins from other species, and their secondary structures mainly included α-helix and random curl. The tertiary structure of PtHMGR was highly similarity to that the template 7ULI in RCSB PDB with 92.0% coverage rate. The HMG-CoA-binding domain of PtHMGR is located at 173–572 amino acid residues, including five bound sites. The tertiary structure of PtCHS showed high consistency with the template 1I86 in RCSB PDB with 100% coverage rate, contained malonyl CoA and 4-coumaroyl-CoA linkers. The expression of PtHMGR and PtCHS is tissue-specific. PtHMGR transcripts were mainly accumulated in roots, followed by leaves, and least in stems, and were significantly positively correlated with the contents of total saponin and tenuifolin. PtCHS was highly expressed in the stems, followed by the leaves, with low expression in the roots. PtCHS transcripts showed a significant positive correlation with total flavonoids content, however, they were significantly negatively correlated with the content of polygalaxanthone III (a type of flavonoids). This study provided insight for further revealing the roles of PtHMGR and PtCHS.

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“…The literature review reported three chromatographic methods for the analysis of methamphetamine and fenethylline (captagon) [20][21][22]. While methamphetamine with cannabis or cannabinoids has six analytical methods [20,[23][24][25][26][27], there are six analytical methods for methamphetamine and tramadol [22,[28][29][30][31][32], and eight analytical methods for methamphetamine and heroin [20,22,[33][34][35][36][37][38].…”

Section: Methodsmentioning

confidence: 99%

Green Assessment of Chromatographic Methods Used for the Analysis of Four Methamphetamine Combinations with Commonly Abused Drugs

et al. 2022

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Numerous agents with anxiolytic or stimulant effects have the potential to be overused, and their misuse is associated with serious side effects. In Saudi Arabia, the estimated percentage of Saudis who abuse drugs is around 7–8% and the age range is 12–22 years. Methamphetamine, captagon, tramadol, heroin, and cannabis/cannabinoids have been proven to be the most commonly abused drugs in Saudi Arabia, with methamphetamine being at the top of the list. The present study focuses on the chromatographic analytical methods used for the analysis of methamphetamine in combination with commonly abused drugs, aiming to point out the greenest among them. These mixtures have been chosen as they are analyzed periodically and frequently in criminal evidence and forensic medicine. Therefore, the chances of hazards for analysts and the environment are high if the mixtures are not handled appropriately. This study aims to compare 23 chromatographic methods used for the analysis of methamphetamine mixtures in four major combinations, and to assess their greenness by using three greenness assessment tools, namely, NEMI, ESA and AGREE, to recommend the greenest analytical method. The NEMI results were proven to have low discriminating abilities and, accordingly, the comparisons are based on ESA and AGREE scores. The analysis results show that the safest methods with the most eco-friendly results (based on ESA and AGREE) are the GC-MS method proposed by Mohammed et al. to analyze methamphetamine and captagon mixtures (ESA = 79 and AGREE = 0.57), the UHPLC–MS-MS method proposed by Busardò et al. to analyze methamphetamine and cannabis/cannabinoid mixtures (ESA = 78 and AGREE = 0.57), the LC-MS method proposed by Herrin et al. to analyze methamphetamine and tramadol mixtures (ESA = 81 and AGREE = 0.56), and the LC-MS method proposed by Postigo-et al to analyze methamphetamine and heroin mixtures (ESA = 76 and AGREE = 0.58).

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Optimization of the qualitative and quantitative analysis of cocaine and other drugs of abuse via gas chromatography – Vacuum ultraviolet spectrophotometry (GC – VUV)

Cited by 16 publications

References 34 publications

Sensitive rGO/MOF based electrochemical sensor for penta-chlorophenol detection: a novel artificial neural network (ANN) application

Sensitive rGO/MOF based electrochemical sensor for penta-chlorophenol detection: a novel artificial neural network (ANN) application

HMGR and CHS gene cloning, characterizations and tissue-specific expressions in Polygala tenuifolia Willd

Green Assessment of Chromatographic Methods Used for the Analysis of Four Methamphetamine Combinations with Commonly Abused Drugs

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