Evidence map›Paper›PMID 35028179›Full record

ArticleJournal of pharmaceutical analysis2021

Automatic analytical approach for the determination of 12 illicit drugs and nicotine metabolites in wastewater using on-line SPE-UHPLC-MS/MS.

Jingyuan Wang, Likai Qi, Chenzhi Hou, Tingting Zhang, Mengyi Chen, Haitao Meng, Mengxiang Su, Hui Xu, Zhendong Hua, Youmei Wang and 1 more

Abstract read
In one paragraph

Article in Journal of pharmaceutical analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Interpol Review of Drug Analysis 2019-2022.Forensic science international. Synergy · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jingyuan WangDepartment of Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
Likai QiDepartment of Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
Chenzhi HouDepartment of Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
Tingting ZhangChina National Narcotics Control Commission - China Pharmaceutical University Joint Laboratory on Key Technologies of Narcotics Control, Nanjing, 210009, China.
Mengyi ChenDepartment of Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
Haitao MengAnalytical Applications Center, Analytical Instruments Division, Shimadzu (China) Co., Ltd., Nanjing Branch, Nanjing, 210000, China.
Mengxiang SuDepartment of Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
Hui XuChina National Narcotics Control Commission - China Pharmaceutical University Joint Laboratory on Key Technologies of Narcotics Control, Nanjing, 210009, China.
Zhendong HuaChina National Narcotics Control Commission - China Pharmaceutical University Joint Laboratory on Key Technologies of Narcotics Control, Nanjing, 210009, China.
Youmei WangChina National Narcotics Control Commission - China Pharmaceutical University Joint Laboratory on Key Technologies of Narcotics Control, Nanjing, 210009, China.
Bin DiDepartment of Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we developed a novel on-line solid phase extraction (SPE)-ultra-high-performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS)-based analytical method for simultaneously quantifying 12 illicit drugs and metabolites (methamphetamine, amphetamine, morphine, codeine, 6-monoacetylmorphine, benzoylecgonine, 3,4-methylenedioxymethamphetamine, 3,4-methylenedioxyamphetamine, cocaine, ketamine, norketamine, and methcathinone) and cotinine (COT) in wastewater samples. The analysis was performed by loading 2 mL of the sample onto an Oasis hydrophilic-lipophilic balance cartridge and using a cleanup step (5% methanol) to eliminate interference with a total run time of 13 min. The isotope-labeled internal standard method was used to quantify the target substances and correct for unavoidable losses and matrix effects during the on-line SPE process. Typical analytical characteristics used for method validation were sensitivity, linearity, precision, repeatability, recovery, and matrix effects. The limit of detection (LOD) and limit of quantification (LOQ) of each target were set at 0.20 ng/L and 0.50 ng/L, respectively. The linearity was between 0.5 ng/L and 250 ng/L, except for that of COT. The intra- and inter-day precisions were <10.45% and 25.64%, respectively, and the relative recovery ranged from 83.74% to 162.26%. The method was used to analyze various wastewater samples from 33 cities in China, and the results were compared with the experimental results of identical samples analyzed using off-line SPE. The difference rate was between 19.91% and -20.44%, and the error range could be considered acceptable. These findings showed that on-line SPE is a suitable alternative to off-line SPE for the analysis of illicit drugs in samples.

Indexed as

Illicit drugs and metabolitesMass spectrometryOn-line solid phase extractionUltra-high-performance liquid chromatographyWastewater analysis

Identifiers

PMID35028179
PMCPMC8740382

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.