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Milica Atanacković Krstonošić University of Novi Sad, Hajduk Veljkova 3, 21000 Novi Sad, Serbia

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Jelena Cvejić Hogervorst University of Novi Sad, Hajduk Veljkova 3, 21000 Novi Sad, Serbia

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Mira Mikulić University of Novi Sad, Hajduk Veljkova 3, 21000 Novi Sad, Serbia

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Ljiljana Gojković-Bukarica University of Belgrade, P.O. Box 840, 11129 Belgrade, Serbia

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Phenolic compounds are frequently present in various natural products, and they can have different beneficial biological potentials. The most widely used method for determination of individual phenolic compounds is high-performance liquid chromatography (HPLC). In this paper, a method for simultaneous determination of 16 phenolic compounds (gallic acid, p-hydroxybenzoic acid, catechin, syringic acid, trans-cinnamic acid, hesperetin, naringenin, vanillic acid, benzoic acid, coumaric acid, resveratrol, chlorogenic acid, caffeic acid, rutin, quercetin, and kaempferol) on a core–shell column was developed. The separation method conducted on a standard ODS (250 mm) column was transferred to Poroshell column and optimized using non-ultra-high-performance liquid chromatography (UHPLC) apparatus. Phenolic compounds were separated fast and efficiently during 30-min analysis, and validation parameters were determined. The developed method was successfully applied on the analysis of phenolic content after direct injection of red wines from three different grape varieties.

Abstract

Phenolic compounds are frequently present in various natural products, and they can have different beneficial biological potentials. The most widely used method for determination of individual phenolic compounds is high-performance liquid chromatography (HPLC). In this paper, a method for simultaneous determination of 16 phenolic compounds (gallic acid, p-hydroxybenzoic acid, catechin, syringic acid, trans-cinnamic acid, hesperetin, naringenin, vanillic acid, benzoic acid, coumaric acid, resveratrol, chlorogenic acid, caffeic acid, rutin, quercetin, and kaempferol) on a core–shell column was developed. The separation method conducted on a standard ODS (250 mm) column was transferred to Poroshell column and optimized using non-ultra-high-performance liquid chromatography (UHPLC) apparatus. Phenolic compounds were separated fast and efficiently during 30-min analysis, and validation parameters were determined. The developed method was successfully applied on the analysis of phenolic content after direct injection of red wines from three different grape varieties.

1. Introduction

Phenolic compounds are widely present among natural products, and they can express different beneficial biological activities. Some of them include antioxidant, cardioprotective, anticancer, anti-inflammation, and anti-aging properties [1]. Red wine is well-known for its health benefits, and most of them are, at least partially, attributed to the presence of phenolic compounds [2]. During winemaking procedure, phenolics are transferred from grapes to wine, but the final phenolic content in wine depends on many factors including grape variety [3], grape maturity [4], and the winemaking technology applied [5, 6].

The most widely used method for determination of individual phenolic compounds in red wine is high-performance liquid chromatography (HPLC). It can be coupled with ultraviolet/diode array detection (UV/DAD) [3, 7], fluorescence [8, 9], and MS detection [10]. Some recently published methods include also gas chromatography coupled with mass spectrometry (GC–MS) [11] and capillary electrophoresis [12].

Fang et al. [7] reported detection of 12 phenolics with UV/DAD after direct injection of wines samples during 60-min analysis time. In the study published by Bravo et al. [10], 25 phenolic compounds were determined with MS detection after extraction of red wine with ethyl acetate. Analysis duration time was 110 min. Fluorescence and UV–vis photodiode array (DAD) detection was applied for the analysis of 23 phenols after direct injection and 90-min long chromatographic analysis [8]. Burin et al. developed 60-min long method with UV/DAD detection for determination of 5 phenolic compounds in wine without sample preparation [13].

In general, the most accessible detector that could be used for phenolic analysis in these types of samples is DAD. Due to the various profile of phenolic compounds present in wine, it is useful to have methods that provide simultaneous determination of a large number of phenolic compounds in a single run. Usually, for these types of analysis, C18 250-mm-long columns are used, consequently having long duration time (up to 100 min) [10, 13]. These methods are usually not cost-effective due to the large solvent consumption and long analysis time.

In some recently published studies, in order to decrease analysis duration time, core–shell particle columns have been suggested as a substitute for commonly used long columns [14]. A solid core and a porous or a superficially porous shell can provide efficient separation with relatively fast rate and low back pressure [15, 16]. Combination of core and shell gives a larger particle and enables low operating back pressure while enabling higher surface area for the separation to occur [16]. Core–shell columns were employed for the analysis of over 20 phenolic compounds in wine [17] and grape-related products [18]. Still, for the efficient application of these methods, the optimized HPLC or ultra-HPLC (UHPLC) apparatus is often recommended, but this equipment is not available in every laboratory [14]. As far as the authors are aware, there are only a few published rapid methods for wine phenolic analysis using conventional HPLC and the core–shell column [19, 20].

Therefore, the aim of this paper is to develop a simple method for the simultaneous determination of 16 selected phenolic compounds in wine using core–shell column on a conventional HPLC apparatus with UV/DAD detection. The developed method will provide a time-effective analysis of phenolics in samples without preparation (directly injected) using apparatus accessible in laboratories which have basic analytical equipment.

2. Experimental

2.1. Standards and Reagents

Phenolic standards, namely, rutin, naringenin, chlorogenic acid, trans-cinnamic acid, quercetin, p-coumaric acid, caffeic acid, p-hydroxybenzoic acid, syringic acid, vanillic acid, resveratrol, and kaempferol were purchased from Sigma (Steinheim, Germany), while hesperetin and catechin were purchased from Fluka (Steinheim, Germany). Benzoic acid was obtained from Lacinema (Neratovice, Czech Republic), and gallic acid from Alfa Aesar (Lancaster, Great Britain). The purities of standards were up to 99%. The solvents used were of analytical grade, dimethyl sulfoxide (DMSO) (J.T. Baker, NJ, USA), glacial acetic acid (POCH, Gliwice, Poland), and HPLC-grade acetonitrile (J.T. Baker, NJ, USA). Quantification was performed by the external standard method. The standard stock solutions (1–25 mg/L) were made using dimethyl sulfoxide as solvent.

2.2. HPLC Analysis

Phenolic compounds were determined by an HPLC method using an Agilent 1100 Series liquid chromatograph (USA) equipped with a UV/DAD detector. Chromatographic separation was performed on a Poroshell 120 EC-C18 (4.6 mm × 100 mm, 2.7 μm) column. The solvent system had a constant flow rate of 1.0 mL/min. The mobile phase was distilled water with 0.1% glacial acetic acid (solvent A) and acetonitrile with 0.1% glacial acetic acid (solvent B). The gradient was as follows: 0–3.25 min, 8–10 %B; 3.25–8 min, 10–12 %B; 8–15, 12–25 %B; 15–15.8 min, 25–30 %B; 15.8–25 min, 30–90 %B; 25–25.4 min, 90–100 %B; and 25.4–30 min, 100 %B. The injection volume was 5 μL, and the temperature was kept constant at 25 °C. Detection wavelengths were chosen considering the absorption maximums of UV spectra of the selected phenolic compounds. Gallic acid, p-hydroxybenzoic acid, catechin, syringic acid, trans-cinnamic acid, hesperetin, and naringenin were detected on 280 nm, vanillic and benzoic acid on 225 nm, coumaric acid and resveratrol on 305 nm, and chlorogenic and caffeic acid on 330 nm, while rutin, quercetin, and kaempferol were monitored on 360 nm.

2.3. Samples

In order to apply the developed method, 3 samples of commercially available red wines from Serbia were analyzed (Prokupac, Pinot Noir, and Cabernet Sauvignon). Sample Pinot Noir was diluted five times with distilled water for catechin analysis. Samples were filtered through Agilent Technologies Econofilter 0.45-μm RC prior to HPLC injection.

2.4. Statistical Analysis

The data were analyzed statistically using Excel for Windows 2007. The Origin 8.1. program was used for the analysis of variance (ANOVA) of the obtained results. The differences were considered significant at level 0.05.

3. Results and Discussion

3.1. Optimization of Mobile Phase

An HPLC method was developed in order to perform the analysis of 16 selected phenolic compounds in red wine in a time-efficient manner. A separation method performed on a standard ODS (250 mm) column was transferred to Poroshell column and optimized. In order to define the elution program, a previously published HPLC method for determination of phenolic compounds by Kim et al. [21] was used. The proposed method was transferred from standard ODS (250 mm) to Poroshell column using an Agilent transfer method calculator [22]. Gradient program obtained in that way is presented in Table 1 (a). The analysis of the selected phenolic standard mixture showed that this procedure was not suitable for the adequate separation, and therefore further modifications of elution program were necessary.

Table 1.

(a) Elution program obtained from Agilent's Infinity Method Transfer and (b) final elution program

a) b)
Min B (%) Min B (%)
0 8 0 8
0.8 10 3.25 10
10 25 8 12
10.8 30 15 25
20 90 15.80 30
20.4 100 25 90
24 8 25.40 100
30 8 27 8

Injection of individual standard solutions showed that co-elution of caffeic and syringic acids occurs at 5.88 min. Therefore, the initial gradient was prolonged. As this modification led to co-elution of chlorogenic and hydroxybenzoic acids, additional changes in the elution program were made until the final gradient presented in Table 1 (b) was established. The total run time for the analysis of 16 phenolics was 30 min. This is more efficient concerning time and solvent consumption than some previously mentioned methods [8, 13]. The resulting chromatogram of the mixture of standard substances is presented in Figure 1.

Figure 1.
Figure 1.

Final chromatogram of the standard mixture (λ = 280 nm) (1.791 - gallic acid, 5.344 - chlorogenic acid, 5.524 - p-hydroxybenzoic acid, 6.306 - catechin, 6.939 - vanillic acid, 7.611 - caffeic acid, 7.800 - syringic acid, 11.817 - p-coumaric acid, 14.365 - rutin, 14.641 - benzoic acid, 17.999 - trans-resveratrol, 18.976 - quercetin, 19.133 - trans-cinnamic acid, 18.976 - naringenin, 20.024 - kaempferol, and 20.135 - hesperetin)

Citation: Acta Chromatographica Acta Chromatographica 32, 2; 10.1556/1326.2019.00611

3.2. Validation Parameters

After the HPLC conditions were established, validation parameters were determined according to the International Council for Harmonization (ICH) guidelines [23]. Calibration curves were constructed using 6 concentration levels (1, 2.5, 5, 10, 15, and 25 mg/L) for all analyzed compounds except vanillic acid and catechin. For vanillic acid and catechin, the concentrations used for calibration curve construction were 2.5, 5, 10, 15, and 25 mg/L. Concentration ranges were established according to the expected concentration of phenolic compounds in wine samples. Standard solutions were injected five times, and each component was detected on corresponding wavelength. Table 2 presents summarized results including retention time of each substance, calibration curve equation, and determination coefficients. High values of determination coefficient suggest a good fitting of the curves.

Table 2.

Calibration curve data for 16 analyzed phenolic compounds

Compound Retention time (min) Retention time CV (%) Calibration curve Coefficient of determination (R2)
Gallic acid 1.791 0.42 y = 15x − 1.2482 0.9998
Chlorogenic acid 5.344 0.87 y = 13.293x − 2.9894 0.9999
p-Hydroxybenzoic acid 5.524 0.49 y = 8.7932x + 0.0663 1
Catechin 6.306 0.65 y = 3.9458x − 0.7965 0.9999
Vanillic acid 6.938 0.49 y = 23.076x + 0.3703 0.9999
Caffeic acid 7.611 0.53 y = 25.908x − 3.8534 0.9998
Syringic acid 7.800 0.83 y = 15.295x + 0.0054 0.9995
p-Coumaric acid 11.817 0.26 y = 40.025x − 1.723 0.9996
Rutin 14.356 0.10 y = 8.0863x − 1.0576 0.9992
Benzoic acid 14.541 0.17 y = 22.697x − 1.9559 0.9998
Trans-resveratrol 17.999 0.06 y = 38.253x − 8.269 0.9993
Quercetin 18.976 0.04 y = 18.092x − 2.4305 0.9999
Trans-cinnamic acid 19.133 0.03 y = 42.684x + 5.8327 0.9999
Naringenin 19.859 0.02 y = 15.76x + 3.6043 0.9993
Kaempferol 20.024 0.02 y = 19.005x − 0.245 0.9998
Hesperetin 20.155 0.56 y = 15.249x + 3.0552 0.9992

Reproducibility of HPLC analysis was examined by injection of standard mixture 10 mg/L concentration level ten times and calculation of coefficient of variation (CV) of retention times. The results are listed in Table 2, and it can be seen that CV of retention times are below 1%, which is acceptable as previously mentioned by Fang et al. [7].

Values of limit of detection (signal-to-noise ratio of 3:1) and limit of quantification LOQ (signal-to-noise ratio of 10:1) for each compound are listed in Table 3. A slightly higher LOD values are noticed for vanillic acid and catechin in comparison with other analyzed compounds, which is due to the lower sensitivity of UV detection for both of these compounds. However, these levels are still appropriate for their analysis in red wine. Quantification limits were below 1 mg/L for all compounds except for catechin and vanillic acid, for which the values were 2.08 mg/L and 1.46 mg/L, respectively.

Table 3.

Limits of detection and quantification for 16 analyzed phenolic compounds

Compound Limit of detection (mg/L) Limit of quantification (mg/L)
Gallic acid 0.09 0.31
Chlorogenic acid 0.08 0.29
p-Hydroxybenzoic acid 0.26 0.89
Catechin 0.62 2.08
Vanillic acid 0.43 1.46
Caffeic acid 0.04 0.14
Syringic acid 0.16 0.54
p-Coumaric acid 0.05 0.18
Rutin 0.10 0.36
Benzoic acid 0.18 0.62
Trans-resveratrol 0.03 0.11
Quercetin 0.04 0.16
Trans-cinnamic acid 0.03 0.11
Naringenin 0.04 0.13
Kaempferol 0.07 0.25
Hesperetin 0.06 0.20

In order to determine how well 2 elution peaks can be differentiated, the resolution between critical pairs was determined. Results are presented in Table 4 and show that all adjacent peaks have resolution higher than 1.5, which indicates that the separation is satisfactory as previously discussed by Snyder et al. [24].

Table 4.

Resolution between critical pairs

Compounds Resolution
Chlorogenic/4-hydroxybenzoic acid 1.64
Caffeic/Syringic acid 1.85
Rutin/Benzoic acid 3.87
Quercetin/trans-cinnamic acid 2.94
Naringenin/ Kaempferol 3.34
Kaempferol/Hesperetin 2.64

The accuracy of the method was tested by analysis of standard mixture that contained 10 mg/L of each standard substance and quantification with constructed calibration curves (Table 5). The mean recovery was calculated by comparison between the calculated amounts and the amount present in the standard solution. High mean recovery values (above 95%) for all analyzed compounds indicate high accuracy of the method. A similar observation was established for polyphenol determination in red wine by Cvetković et al. [25].

Table 5.

Recovery and accuracy of the proposed method

Compound (mg/L) Calculated concentration (mean ± SD) Mean recovery (%) Accuracy (%)
Gallic acid 9.79 ± 0.03 97.9 −2.1
Chlorogenic acid 9.85 ± 0.02 98.5 −1.5
p-Hydroxybenzoic acid 9.97 ± 0.06 99.7 −0.3
Catechin 10.09 ± 0.05 100.9 +0.9
Vanillic acid 10.04 ± 0.04 100.4 +0.4
Caffeic acid 9.86 ± 0.01 98.6 −1.4
Syringic acid 9.96 ± 0.05 99.6 −0.4
p-Coumaric acid 9.90 ± 0.01 99.0 −1.0
Rutin 9.65 ± 0.01 96.5 −3.5
Benzoic acid 9.80 ± 0.03 98.0 −2.0
Trans-resveratrol 10.03 ± 0.01 100.3 +0.3
Quercetin 9.90 ± 0.01 99.0 −1.0
Trans-cinnamic acid 10.15 ± 0.03 101.5 +1.5
Naringenin 9.95 ± 0.02 99.5 −0.5
Kaempferol 10.13 ± 0.02 101.3 +1.3
Hesperetin 10.24 ± 0.03 102.4 +2.4

3.3. Method Application on Wine Analysis

The developed method was applied for the analysis of phenolic compounds in 3 red-wine commercial samples produced from different grape varieties (Prokupac, Pinot Noir, and Cabernet Sauvignon). Wine samples were filtered, directly injected, and analyzed under established chromatographic conditions. A representative chromatogram of wine sample (Prokupac) on 280 nm is presented in Figure 2.

Figure 2.
Figure 2.

Chromatogram of the Prokupac wine sample (λ = 280 nm) (1 - gallic acid, 2 - p-hydroxybenzoic acid, 3 - catechin, 4 - vanillic acid, 5 - syringic acid, 6 - p-coumaric acid, 7 - rutin, and 8 - trans-cinnamic acid)

Citation: Acta Chromatographica Acta Chromatographica 32, 2; 10.1556/1326.2019.00611

Analyses were performed in triplicate. Identification and quantification of the present phenolic compounds was performed by observing chromatograms on characteristic wavelengths. Identification was achieved by comparison of retention times, as well as the UV spectra of the phenolic compounds. The obtained results are presented in Table 6.

Table 6.

Mean concentrations (mg/L) of phenolic compounds in analyzed wine samples (n = 3)

Samplea (mean ± SD)
mg/L Prokupac Pinot Noir Cabernet Sauvignon
Gallic acid 20.25 ± 0.02a 22.88 ± 0.03b 20.06 ± 0.02c
p -Hydroxybenzoic acid 2.13 ± 0.04a 0.77 ± 0.03b
Catechin 20.13 ± 0.08a 108.50 ± 0.02b 32.95 ± 0.14c
Vanillic acid 1.05 ± 0.05
Caffeic acid 0.38 ± 0.02
Syringic acid 3.14 ± 0.09a 5.92 ± 0.05b 5.26 ± 0.16c
p-Coumaric acid 1.56 ± 0.09a 1.18 ± 0.01b 1.41 ± 0.07c
Rutin 2.64 ± 0.03a 1.27 ± 0.04b
Benzoic acid 1.69 ± 0.09a 0.95 ± 0.04b
Trans-resveratrol 0.31 ± 0.01a 0.29 ± 0.01b
Quercetin 0.55 ± 0.04
Trans-cinnamic acid 0.31 ± 0.01a 0.12 ± 0.005b 0.13 ± 0.005b
Naringenin 0.16 ± 0.01
Total 51.21 141.75 63.03

Different letters in the same row indicate significant difference (p < 0.05) between the samples; – - not detected.

As it can be seen in Table 6, phenolic compound content differs in wine samples. In total, the highest concentration of phenolic compounds was observed in Pinot Noir wine (141.75 mg/L), while the lowest was in Prokupac wine (51.21 mg/L). Gallic acid, catechin, syringic acid, p-coumaric acid, and trans-cinnamic acid were detected in all analyzed wines. Resveratrol, benzoic acid, rutin and p-hydroxybenzoic acid were detected in two samples (Pinot Noir and Cabernet Sauvignon), while naringenin and quercetin were present only in Cabernet Sauvignon wine. Caffeic and vanillic acid were abundant only in one of the analyzed wine sample (Pinot Noir and Prokupac, respectively). Furthermore, significant differences were noticed (p < 0.05) between the contents of phenolic compounds in wine from different grape varieties. The most abundant phenols in all three wine samples were gallic acid and catechin.

All analyzed samples had relatively high concentrations of gallic acid (above 20 mg/L). This is in accordance with the results for gallic acid content in Spanish red wines, but these values can go up to 50 mg/L [26]. Another study performed on red wines from Croatia showed that gallic acid was a dominant phenol with values up to 37 mg/L [27].

Catechin was detected in the range from 20.13 to 108.50 mg/L. This is expected, since it has been shown that catechin is one of the most abundant phenols present in red wine [28]. For example, red wines from native Greek grape cultivars contained up to 113 mg/L of catechin [29], and Cabernet Sauvignon red wine from Brazil contained 50 mg/L, which is almost two times higher than the value observed for the same variety in this experiment [13]. Wine made from Pinot Noir grape variety had by far the highest concentration of catechin when compared with the other two analyzed samples. This is in accordance with the results published by Soleas et al. [30], where Pinot Noir wine had the highest catechin concentration among 5 red grape varieties (Pinot Noir, Cabernet Sauvignon, Cabernet Franc, Merlot, and Gamay Noir). Also, a global survey of catechin concentration in over 800 red wines from different regions has shown that Pinot Noir wines have the highest catechin content regardless of the wine origin [31].

Trans-resveratrol, one of the most recognized phenols for its health benefits, was detected only in two samples (Pinot Noir and Cabernet Sauvignon). Earlier reported values for resveratrol content in red wines from Serbia are 0.50 mg/L (Prokupac), 1.74 mg/L (Pinot Noir), and 0.18–2.37 mg/L (Cabernet Sauvignon) [6, 32]. Also, in another study performed on samples from the Balkan region (Romanian wines), it was established that Cabernet Sauvignon had 8.8 mg/L of trans-resveratrol and Pinot Noir had 1.68 mg/L, which are higher concentrations than those obtained for the samples analyzed [33].

Concerning other abundant phenols, syringic acid was detected in a relatively high concentration (3.14–5.92 mg/L). Some of the previously published values for this compound include 2.2–3.9 mg/L for Italian commercial red wines [34], but these values can reach up to 76 mg/L as reported for Macedonian Vranec wines by Ivanova-Petropulos et al. [35]. The observed differences in the phenolic content could be attributed to many factors, including varietal characteristics, and geographical origin, as well as the applied winemaking technology [5].

4. Conclusion

In this paper, a time-effective HPLC method for simultaneous determination of 16 phenolic compounds in wine using core–shell column is proposed. The method was optimized after the transfer from standard ODS 250 mm to the Poroshell (4.6 × 100 mm, 2.7 μm) column. The final program includes gradient elution, direct injection of the sample, and UV/DAD detection during 30-min run time. A satisfactory separation is accomplished for standards, as well as for the samples with the use of conventional apparatus. Regarding the phenolic content, significant differences were noticed among wines made from different grape varieties. Gallic acid and catechin were the dominant phenols in all analyzed samples. Also, wine made from Pinot Noir variety had the highest phenolic content in total. In conclusion, the developed procedure can be applied for fast and effective determination of phenols in wine without additional sample preparation and obtaining valuable information about these important compounds with potential health benefits.

Acknowledgement

This research was supported by the National Project of Technological Development - Ministry of Education, Science and Technological Development, Republic of Serbia (no. TP31020).

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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
  • 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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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
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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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