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Siyuan Chen Wenzhou Medical University, Wenzhou 325035, China
Wenzhou Medical University, Wenzhou 325035, China

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Jianshe Ma Wenzhou Medical University, Wenzhou 325035, China

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Xianqin Wang Wenzhou Medical University, Wenzhou 325035, China
Wenzhou Medical University, Wenzhou 325035, China

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Peiwu Geng The People's Hospital of Lishui, Lishui 323000, China

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Hair is a stable specimen and has a longer detection window (from weeks to months) than blood and urine. Through the analysis of hair, the long-term information of the drug use of the identified person could be explored. Our work is to establish an ultra-performance liquid chromatography–tandem mass spectroscopy (UPLC–MS/MS) method for simultaneous determination of methamphetamine, amphetamine, morphine, monoacetylmorphine, ketamine, norketamine, 3,4-methylenedioxymethamphetamine (MDMA), and 3,4-methylenedioxyamphetamine (MDA) in hair. Methoxyphenamine was used as an internal standard. The chromatographic separation was performed on a UPLC ethylene bridged hybrid (BEH) C18 (2.1 mm × 50 mm, 1.7 μm) column using a mobile phase of acetonitrile–water with 10 mmol/L ammonium acetate solution which containing 0.05% ammonium hydroxide. The multiple reaction monitoring in positive electrospray ionization was used for quantitative determination. The intra-day and inter-day precisions (relative standard deviation [RSD]) were below 15%. The accuracy ranged between 85.5% and 110.4%, the average recovery rate was above 72.9%, and the matrix effect ranged between 92.7% and 109.2%. Standard curves were in the range of 0.05–5.0 ng/mg, and the correlation coefficients were greater than 0.995. The established UPLC–MS/MS method was applied to analyze the hair samples successfully.

Abstract

Hair is a stable specimen and has a longer detection window (from weeks to months) than blood and urine. Through the analysis of hair, the long-term information of the drug use of the identified person could be explored. Our work is to establish an ultra-performance liquid chromatography–tandem mass spectroscopy (UPLC–MS/MS) method for simultaneous determination of methamphetamine, amphetamine, morphine, monoacetylmorphine, ketamine, norketamine, 3,4-methylenedioxymethamphetamine (MDMA), and 3,4-methylenedioxyamphetamine (MDA) in hair. Methoxyphenamine was used as an internal standard. The chromatographic separation was performed on a UPLC ethylene bridged hybrid (BEH) C18 (2.1 mm × 50 mm, 1.7 μm) column using a mobile phase of acetonitrile–water with 10 mmol/L ammonium acetate solution which containing 0.05% ammonium hydroxide. The multiple reaction monitoring in positive electrospray ionization was used for quantitative determination. The intra-day and inter-day precisions (relative standard deviation [RSD]) were below 15%. The accuracy ranged between 85.5% and 110.4%, the average recovery rate was above 72.9%, and the matrix effect ranged between 92.7% and 109.2%. Standard curves were in the range of 0.05–5.0 ng/mg, and the correlation coefficients were greater than 0.995. The established UPLC–MS/MS method was applied to analyze the hair samples successfully.

Introduction

Hair is used as a biological material and has an irreplaceable advantage over blood and urine [13]. Hair is a stable specimen and has a longer detection window (from weeks to months) than blood and urine [46]. Through the analysis of hair, could explore the long-term information of the drug use of the identified person. In particular, segmental hair analysis can provide useful information about drug abuse status and abuse history [6, 7]. Therefore, hair analysis has immeasurable value for forensic applications.

Because of the complex matrix of hair samples, the analysis is susceptible to interference from endogenous substances, so measuring drug abuse in hair is a challenge for analytical laboratories [810]. Gas chromatography–mass spectrometry (GC–MS) has been reported to detect drugs in hair samples. However, GC–MS technology has the following disadvantages: sensitivity is usually insufficient, sample pretreatment takes a long time, and derivatization steps such as morphine are required for compounds with poor gas chromatographic behavior. Compared with GC–MS, liquid chromatography with MS (LC–MS) has great advantages in biological sample analysis [11, 12]. Its use in forensic science is first directed to specific low-concentration polar analytes. In LC–MS analysis, the sensitivity is high, the amount of sample required is small, the sample pretreatment is simple, and no derivatization is required. Further, LC with tandem mass spectroscopy (LC–MS/MS) overcomes matrix background interference and improves signal-to-noise ratio, so it is more sensitive to complex biological samples and more suitable for analysis of low-level components.

The purpose of this study was to develop and validate an analytical method for the determination of methamphetamine, amphetamine, morphine, monoacetylmorphine, ketamine, norketamine, 3,4-methylenedioxymethamphetamine (MDMA), and 3,4-methylenedioxyamphetamine (MDA) in human hair based on simple hair extraction, followed by ultra-performance liquid chromatography–tandem mass spectroscopy (UPLC–MS/MS) analysis. The main metabolite of methamphetamine was amphetamine; the main metabolites of heroin were morphine and monoacetylmorphine; the main metabolite of ketamine was norketamine; the main metabolite of MDMA was MDA. The selected toxicants represent the most common drugs such as methamphetamine, heroin, ketamine, and MDMA.

Materials and Methods

Chemical Reagents

Methamphetamine, amphetamine, morphine, monoacetylmorphine, ketamine, norketamine, MDMA, MDA, and methoxyphenamine (internal standard) (all purity >98%) were purchased from Sigma-Aldrich (Lewis, USA). Chromatographic grade acetonitrile and methanol were purchased from Merck (Darmstadt, Germany). Ultra-pure water (resistance >18 MΩ) was prepared by Milli-Q purification system (Bedford, USA).

Instruments and Conditions

ACQUITY UPLC and XevoXevo TQ-S Micro triple quadrupole mass spectrometer (Waters Corporation, USA) were use for determination of drugs in hair. An UPLC BEH C18 (2.1 mm × 50 mm, 1.7 μm) column with a column temperature of 40 °C was used, and the mobile phase was acetonitrile–10 mmol/L ammonium acetate solution (containing 0.05% ammonium hydroxide) at a flow rate of 0.4 mL/min with an injection volume of 1 μL. Gradient elution is with 10% initial acetonitrile for 0.2 min, increased into 80% in 1.3 min, keep at 80% for 0.5 min, then drop to 10% in 0.5 min, and hold for 1.5 min, with a total run time of 4.0 min.

Nitrogen was used as desolvation gas (800 L/h) and cone gas (50 L/h). A capillary voltage of 2.5 kV, a source temperature of 150 °C, and a desolvation temperature of 400 °C were used. Multiple reaction monitoring (MRM) was used for quantitative analysis (Table 1).

Table 1.

MRM parameters of the drugs

Compound Parent ion Daughter ion Cone voltage Collision voltage
Methamphetamine 150.1 91.1 15 35
150.1 119.1 15 10
Amphetamine 136.1 91.1 20 20
136.1 119.1 20 10
Morphine 286.2 153.1 55 40
286.2 165.2 55 40
6-Acetylmorphine 328.1 165.3 46 28
328.1 211.3 46 24
Ketamine 238.0 124.9 28 26
238.0 179.0 28 16
Norketamine 224.1 125.1 40 32
224.1 207.1 40 12
MDMA 194.3 105.1 10 25
194.3 163.2 10 15
MDA 180.2 105.1 10 25
180.2 163.2 10 15

Standard Solution Preparation

Methamphetamine, amphetamine, morphine, monoacetylmorphine, ketamine, norketamine, MDMA, and MDA were formulated as a 100 μg/mL methanol stock solution. The stock solution was diluted with methanol to the working solution, and all solutions are stored in a 4 °C freezer.

Preparation for Standard Curve

Healthy human hairs were given appropriate amounts of methamphetamine, amphetamine, morphine, monoacetylmorphine, ketamine, norketamine, MDMA, and MDA working solutions, constructed in the range of 0.02–5.0 ng/mg hair standard solutions (0.02,0.05,0.2, 1.0, 2.0, and 5.0 ng/mg). Quality control samples at concentrations of 0.05, 0.2, 0.8 and 4.0 ng/mg were prepared using the same method.

Sample Processing

A 10-mg hair was weighed, and washed with ultrapure water and acetone, then dried, cut, and ground, 0.3 mL methanol added, subjected to ultrasonic water bath for 1 h, with 13,000 rpm at 4 °C, and centrifuge for 10 min; 100 μL of the supernatant was transferred into a liner tube of a vial, and 1 μL was used for UPLC–MS/MS analysis.

Method Validation

The bioanalysis method validation was established according to the guidance of the US Food and Drug Administration. Validation projects include selectivity, matrix effects, linearity, precision, accuracy, recovery, and stability [1322].

Applications

In 2018, the laboratory received 1193 hair samples and established test methods for common drug screening analysis.

Results and Discussion

Method Optimization

The hair pretreatment in this study used a simple pretreatment with water and acetone. Designed to meet the needs of fast hair treatment, it also cleans the drugs attached to the hair surface, as well as dust, inorganic salts, oils, and other impurities.

Various methods for extracting related drugs from hair have been reported, including enzymatic hydrolysis, acid hydrolysis, and alkaline hydrolysis. For example, the extraction of amphetamines and ketamine drugs is usually carried out by sodium hydroxide hydrolysis. Morphine is extracted by acid-hydrolysis, ultrasound-assisted, and liquid–liquid extraction methods, which has a long-term problem and cannot meet the needs of rapid experimental testing. In the direct methanol ultrasonic method, the measured drug is directly extracted with methanol by a simple dissolution extraction method. This reduces both the pre-processing time and the detection requirements.

As far as possible, the internal interfering substances are separated from the retention time by high-performance liquid chromatography (HPLC), and the mobile phase and chromatographic column determine the chromatographic behavior [23, 24]. We tried different chromatographic columns such as BEH C18 (2.1 mm × 50 mm,1.7 μm), BEH C18 (2.1 mm × 100 mm,1.7 μm), and HSS T3 (2.1 mm × 100 mm,1.8 μm), and the results showed that BEH C18 (2.1 mm × 50 mm,1.7 μm) had the best peak time and peak effect. We tried acetonitrile–0.1% formic acid, acetonitrile–10 mmol/L ammonium acetate solution (containing 0.1% formic acid), methanol–0.1% formic acid, methanol–10 mmol/L ammonium acetate solution (containing 0.1% formic acid), and acetonitrile–10 mmol/L ammonium acetate solution (containing 0.05% ammonium hydroxide) with gradient elution. The results showed that acetonitrile–10 mmol/L ammonium acetate solution (containing 0.05% ammonium hydroxide) results in the most satisfactory chromatographic peak shape and retention time. Thus, BEH C18 (2.1 mm *50 mm, 1.7 μm) column and acetonitrile–10 mmol/L ammonium acetate solution (containing 0.05% ammonium hydroxide) as the mobile phase were used in this work.

Method Validation

No impurities or endogenous substances that would interfere with the test could be identified, indicating that this method had good selectivity (Figure 1).

Figure 1.
Figure 1.

UPLC–MS/MS chromatograms of methamphetamine, amphetamine, morphine, monoacetylmorphine, ketamine, norketamine, MDMA, MDA, and methoxyphenamine (IS) in hair

Citation: Acta Chromatographica Acta Chromatographica 32, 2; 10.1556/1326.2019.00615

The equation for the standard curve of drugs was shown in Table 2. The intra-day precision RSD was below 15%, and the inter-day precision RSD was below 15%. The accuracy ranged between 85.5% and 110.4%, the average recovery rate was above 72.9%, and the matrix effect ranged between 92.7% and 109.2% (Table 3). The above results met the requirements of determination of drugs in biological tissues (acceptance criteria, intra-day, and inter-day accuracy: ±15% of the nominal concentrations; except ±20% at lower limit of quantification (LLOQ); intra-day and inter-day precision: ± 15% RSD, except ±20% RSD at LLOQ) [25].

Table 2.

Linear equations, correlation coefficient, LLOQ, and LOD of drugs in hair (LLOQ = lower limit of quantification; LOD = limit of detection)

Compound Linear equations Concentration range (ng/mg) Coefficient LLOQ (ng/mg) LOD (ng/mg)
Methamphetamine y = 9.8349x + 0.3089 0.05–5.0 0.9987 0.05 0.02
Amphetamine y = 14.201x + 0.5447 0.05–5.0 0.9979 0.05 0.02
Morphine y = 0.9067x + 0.0391 0.05–5.0 0.9978 0.05 0.02
6-Acetylmorphine y = 1.9406x + 0.0752 0.05–5.0 0.9982 0.05 0.02
Ketamine y = 4.8998x + 0.1402 0.05–5.0 0.9993 0.05 0.02
Norketamine y = 3.9917x + 0.0751 0.05–5.0 0.9997 0.05 0.02
MDMA y = 12.296x + 0.4018 0.05–5.0 0.9976 0.05 0.02
MDA y = 13.101x − 0.169 0.05–5.0 0.9997 0.05 0.02
Table 3.

Precision, accuracy, matrix effect, and recovery of drugs

Compound Concentration (ng/mg) Precision (% RSD) Accuracy (%) Matrix effect (%) Recovery (%)
Intra-day Inter-day Intra-day Inter-day
Methamphetamine 0.05 13.1 12.8 106.0 85.5 97.4 89.4
0.2 4.3 9.0 108.2 102.3 100.3 74.0
0.8 5.5 10.5 100.8 94.9 101.6 76.2
4.0 8.1 7.1 103.1 96.3 93.7 86.1
Amphetamine 0.05 13.5 14.3 86.4 102.9 94.9 81.0
0.2 7.6 10.3 105.5 97.8 104.7 78.1
0.8 5.0 2.6 102.2 96.2 100.9 82.3
4.0 6.8 3.3 101.0 96.3 102.7 80.9
Morphine 0.05 12.8 13.6 91.2 93.3 96.6 73.1
0.2 10.6 11.9 100.1 106.1 92.7 86.6
0.8 8.6 5.3 96.0 91.5 89.8 82.9
4.0 4.6 5.6 100.7 94.2 94.9 72.9
6-Acetylmorphine 0.05 14.3 14.7 110.4 88.5 96.2 83.0
0.2 7.3 12.6 103.2 104.7 93.3 84.3
0.8 11.2 9.8 95.1 108.0 97.6 83.0
4.0 10.3 10.9 99.9 101.2 92.4 89.5
Ketamine 0.05 9.6 14.9 102.5 108.6 101.0 93.7
0.2 5.9 9.3 106.9 97.0 107.9 79.8
0.8 6.8 5.8 92.8 86.5 101.8 75.2
4.0 5.5 4.7 106.8 109.3 105.5 85.8
Norketamine 0.05 12.4 14.2 102.8 102.2 95.2 92.2
0.2 9.7 12.0 94.1 97.4 90.0 95.4
0.8 4.3 10.9 100.7 98.3 98.3 95.0
4.0 2.5 4.6 102.3 97.3 104.1 91.8
MDMA 0.05 13.5 13.3 98.1 104.1 94.4 81.5
0.2 11.5 9.5 93.1 100.0 104.4 93.9
0.8 4.6 2.5 103.2 99.7 99.9 82.8
4.0 5.0 9.4 103.6 87.1 109.2 83.0
MDA 0.05 14.9 13.4 104.5 88.5 103.4 80.2
0.2 9.6 15.0 96.5 109.8 102.5 87.9
0.8 4.6 3.0 98.3 106.2 97.2 79.7
4.0 6.1 4.4 96.7 93.3 100.1 81.9

UPLC–MS/MS was faster than traditional HPLC analysis and with enhanced signals [2633]. Just 4 min to complete the analysis of plasma samples can save a lot of time. In addition, LLOQ (0.05 ng/mg) was relatively low, which can be used to determine low concentrations in hair.

Applications

In the laboratory, 1193 cases were detected. Positive concentration was set at 0.2 ng/mg. In fact, 381 cases were methamphetamine, followed by 6-acetylmorphine, ketamine, and MDMA (Table 4). When methamphetamine was positive, the methamphetamine and amphetamine were simultaneously detected at the same time. When heroin was positive, 6-acetylmorphine and morphine were simultaneously detected. When ketamine was positive, ketamine and norketamine were simultaneously detected. When MDMA was positive, MDMA and MDA were simultaneous detected.

Table 4.

Application to determinate the hair sample in Wenzhou

Area of inspection Number of inspection Positive number Positive rate % Methamphetamine Heroin Ketamine MDMA
Methamphetamine Amphetamine 6-Acetylmorphine Morphine Ketamine Norketamine MDMA MDA
Yueqing 287 75 26.13 63 63 12 12
Ouhai 247 82 33.20 65 65 18 18 6 6
Lucheng 113 48 42.48 42 42 4 4 3 3
Cangnang 113 36 31.86 32 32 1 1 3 3
Kaifaqu 103 17 16.50 16 16 1 1
Yongjia 98 25 25.51 19 19 7 7
Ruian 79 38 48.10 27 27 1 1 10 10 11 11
Taishun 56 26 46.43 26 26
Longwan 40 14 35.00 6 6 1 1 8 8 1 1
Dongtou 27 6 22.22 6 6
Wencheng 24 9 37.50 5 5 2 2 3 3
Pingyang 6 5 83.33 4 4 1 1
Total 1193 381 31.94 311 45 33 15

Positive concentration of methamphetamine, 6-acetylmorphine, morphine, ketamine, and MDMA was set at 0.2 ng/mg, and the limit of detection of amphetamine, norketamine, and MDA was 0.02 ng/mg.

Conclusion

In this study, a simple, rapid, and selective simultaneous determination of methamphetamine, amphetamine, morphine, monoacetylmorphine, ketamine, norketamine, MDMA, and MDA in hair by UPLC–MS/MS was developed and successfully applied to analysis of hair samples.

Acknowledgements

This work was supported by grants from the start-up funding from Wenzhou Medical University (QTJ17018).

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  • 1.

    Allibe, N.; Kintz, P.; Faure, A.; Paysant, F.; Michard-Lenoir, A. P.; Stanke-Labesque, F.; Scolan, V.; Eysseric-Guerin, H. Curr. Pharm. Des. 2017, 23, 55025510.

    • Search Google Scholar
    • Export Citation
  • 2.

    Wang, X. Drummer, O. H. Forensic Sci Int 2015, 257, 458472.

  • 3.

    Xiang, P.; Shen, M.; Drummer, O. H. J. Forensic Leg. Med. 2015, 36, 126135.

  • 4.

    Vogliardi, S.; Tucci, M.; Stocchero, G.; Ferrara, S. D.; Favretto, D. Anal. Chim. Acta 2015, 857, 127.

  • 5.

    Curtis, J.; Greenberg, M. Clin. Toxicol. 2008, 46, 2234.

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    Srogi K. Anal. Lett. 2006, 39, 231258.

  • 7.

    Srogi K. Microchim. Acta 2006, 154, 191212.

  • 8.

    Kuwayama, K.; Nariai, M.; Miyaguchi, H.; Iwata, Y. T.; Kanamori, T.; Tsujikawa, K.; Yamamuro, T.; Segawa, H.; Abe, H.; Iwase, H.; Inoue, H. Int. J. Leg. Med. 2019, 133, 117122.

    • Crossref
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    • Export Citation
  • 9.

    Wu, Y.; Yang, J.; Duan, C. L.; Chu, L. X.; Chen, S. H.; Qiao, S.; Li, X. M.; Deng, H. H. J. Chromatogr. B: Anal. Technol. Biomed. Life Sci. 2018, 1083, 209221.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 10.

    Wang, X.; Johansen, S. S.; Nielsen, M. K. K.; Linnet, K. Forensic Sci. Int. 2018, 285, E1E12.

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    Leung, K. W.; Wong, Z. C. F.; Ho, J. Y. M.; Yip, A. W. S.; Cheung, J. K. H.; Ho, K. K. L.; Duan, R.; Tsim, K. W. K. Drug Test. Anal. 2018, 10, 977983.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 12.

    Kronstrand, R.; Forsman, M.; Roman, M. Forensic Sci. Int. 2018, 283, 915.

  • 13.

    Guo, J. Y.; Xu, Q. Q.; Tong, S. H.; Wang, S. H.; Zhang, Q. W.; Sun, F.; Wang, X. Q. Lat. Am. J. Pharm. 2014, 33, 15671570.

  • 14.

    Cai, J. Z.; Huang, Z. Z.; Chen, X. L.; Xu, R. A.; He, H. Z.; Lin, C. L.; Lin, G. Y.; Wang, X. Q. Lat. Am. J. Pharm. 2012, 31, 388393.

    • Search Google Scholar
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Senior editors

Editor(s)-in-Chief: Sajewicz, Mieczyslaw, University of Silesia, Katowice, Poland

Editors(s)

  • Danica Agbaba, University of Belgrade, Belgrade, Serbia (1953-2024)
  • Łukasz Komsta, Medical University of Lublin, Lublin, Poland
  • Ivana Stanimirova-Daszykowska, University of Silesia, Katowice, Poland
  • Monika Waksmundzka-Hajnos, Medical University of Lublin, Lublin, Poland

Editorial Board

  • Ravi Bhushan, The Indian Institute of Technology, Roorkee, India
  • Jacek Bojarski, Jagiellonian University, Kraków, Poland
  • Bezhan Chankvetadze, State University of Tbilisi, Tbilisi, Georgia
  • Michał Daszykowski, University of Silesia, Katowice, Poland
  • Tadeusz H. Dzido, Medical University of Lublin, Lublin, Poland
  • Attila Felinger, University of Pécs, Pécs, Hungary
  • Kazimierz Glowniak, Medical University of Lublin, Lublin, Poland
  • Bronisław Glód, Siedlce University of Natural Sciences and Humanities, Siedlce, Poland
  • Anna Gumieniczek, Medical University of Lublin, Lublin, Poland
  • Urszula Hubicka, Jagiellonian University, Kraków, Poland
  • Krzysztof Kaczmarski, Rzeszow University of Technology, Rzeszów, Poland
  • Huba Kalász, Semmelweis University, Budapest, Hungary
  • Katarina Karljiković Rajić, University of Belgrade, Belgrade, Serbia
  • Imre Klebovich, Semmelweis University, Budapest, Hungary
  • Angelika Koch, Private Pharmacy, Hamburg, Germany
  • Piotr Kus, Univerity of Silesia, Katowice, Poland
  • Debby Mangelings, Free University of Brussels, Brussels, Belgium
  • Emil Mincsovics, Corvinus University of Budapest, Budapest, Hungary
  • Ágnes M. Móricz, Centre for Agricultural Research, Budapest, Hungary
  • Gertrud Morlock, Giessen University, Giessen, Germany
  • Anna Petruczynik, Medical University of Lublin, Lublin, Poland
  • Robert Skibiński, Medical University of Lublin, Lublin, Poland
  • Bernd Spangenberg, Offenburg University of Applied Sciences, Germany
  • Tomasz Tuzimski, Medical University of Lublin, Lublin, Poland
  • Adam Voelkel, Poznań University of Technology, Poznań, Poland
  • Beata Walczak, University of Silesia, Katowice, Poland
  • Wiesław Wasiak, Adam Mickiewicz University, Poznań, Poland
  • Igor G. Zenkevich, St. Petersburg State University, St. Petersburg, Russian Federation

 

SAJEWICZ, MIECZYSLAW
E-mail:mieczyslaw.sajewicz@us.edu.pl

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2024  
Scopus  
CiteScore  
CiteScore rank  
SNIP  
Scimago  
SJR index 0.285
SJR Q rank Q3

2023  
Web of Science  
Journal Impact Factor 1.7
Rank by Impact Factor Q3 (Chemistry, Analytical)
Journal Citation Indicator 0.43
Scopus  
CiteScore 4.0
CiteScore rank Q2 (General Chemistry)
SNIP 0.706
Scimago  
SJR index 0.344
SJR Q rank Q3

Acta Chromatographica
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Acta Chromatographica
Language English
Size A4
Year of
Foundation
1988
Volumes
per Year
1
Issues
per Year
4
Founder Institute of Chemistry, University of Silesia
Founder's
Address
PL-40-007 Katowice, Poland, Bankowa 12
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 2083-5736 (Online)

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