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Qinyi Fu Food Safety Laboratory, College of Food Science and Engineering, Ocean University of China, 5 Yushan Rd., Qingdao, China

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Hongwei Zheng Food Safety Laboratory, College of Food Science and Engineering, Ocean University of China, 5 Yushan Rd., Qingdao, China

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Xiangning Han Food Safety Laboratory, College of Food Science and Engineering, Ocean University of China, 5 Yushan Rd., Qingdao, China

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Limin Cao Food Safety Laboratory, College of Food Science and Engineering, Ocean University of China, 5 Yushan Rd., Qingdao, China

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Jianxin Sui Food Safety Laboratory, College of Food Science and Engineering, Ocean University of China, 5 Yushan Rd., Qingdao, China

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Abstract

A highly sensitive high-performance liquid chromatography (HPLC) method was developed for the simultaneous determination of eight biogenic amines in aquatic products. The biogenic amines in the sample were extracted with 5% trichloroacetic acid, derived with dansyl chloride (Dns-Cl) and quantified by a UV detector. The results showed that tryptamine (TRY), 2-phenethylamine (PHE), putrescine (PUT), cadaverine (CAD), histamine (HIS), tyramine (TPY), spermidine (SPD), and spermine (SPM) were effectively separated in 18 min in the range of 0.1–50 mg/kg with a good linear coefficient (r2 > 0.999). The detection limits (LODs) of the eight biogenic amines were 0.007–0.021 mg/kg while the limits of quantification (LOQs) were 0.024–0.069 mg/kg with the recoveries basically between 68 and 123%. The determination of eight biogenic amines in five commercial fermented aquatic products indicating that the developed method could be applied for the simultaneous detection of biogenic amines in multiple aquatic products.

Abstract

A highly sensitive high-performance liquid chromatography (HPLC) method was developed for the simultaneous determination of eight biogenic amines in aquatic products. The biogenic amines in the sample were extracted with 5% trichloroacetic acid, derived with dansyl chloride (Dns-Cl) and quantified by a UV detector. The results showed that tryptamine (TRY), 2-phenethylamine (PHE), putrescine (PUT), cadaverine (CAD), histamine (HIS), tyramine (TPY), spermidine (SPD), and spermine (SPM) were effectively separated in 18 min in the range of 0.1–50 mg/kg with a good linear coefficient (r2 > 0.999). The detection limits (LODs) of the eight biogenic amines were 0.007–0.021 mg/kg while the limits of quantification (LOQs) were 0.024–0.069 mg/kg with the recoveries basically between 68 and 123%. The determination of eight biogenic amines in five commercial fermented aquatic products indicating that the developed method could be applied for the simultaneous detection of biogenic amines in multiple aquatic products.

Introduction

Biogenic amines, which are a general term for a class of biologically active nitrogen-containing organic compounds with low molecular weight, have been found in various foods such as cheese, wine, meat and aquatic products [1]. It has reported that fresh fish have very low levels of biogenic amines, and the biogenic amines are mainly produced by the decarboxylation of amino acids with the decarboxylase generated by microorganisms during the processing or storage [2]. Fermented aquatic food, referring to the aquatic products processed and manufactured with beneficial microorganisms, is one of the traditional food types in China. Fermented aquatic food has unique flavor, but the content of biogenic amines will increase rapidly during the fermentation processing. As an essential component of biologically active cells, biogenic amines play important roles in regulating nucleic acid, protein synthesis and biofilm stability. However, excessive intake of biogenic amines might cause adverse physiological reactions such as headache, abdominal cramps, vomiting, and abnormal blood pressure [3]. Therefore, many countries and regions have established limits for biogenic amines, especially for histamine in aquatic products. The FDA recommends that the maximum limit of histamine in aquatic species is 50 mg/kg, while the EU is 100 mg/kg. In China, the maximum limit of histamine in high-histamine fish such as mackerel is 400 mg/kg, and that in the other aquatic products is 200 mg/kg.

Tryptamine (TRY), phenylethylamine (PHE), putrescine (PUT), cadaverine (CAD), histamine (HIS), tyramine (TYR), spermidine (SPD), and spermine (SPM) are the eight biogenic amines commonly existed in foods. In order to detect the content of biogenic amines in foods, lots of detection methods, such as liquid chromatography, thin layer chromatography, gas chromatography, ion chromatography, capillary electrophoresis, colorimetric method and biosensor method have been established [4–10]. High performance liquid chromatography (HPLC) was the most commonly used method for the quantitative analysis of biogenic amines because of its high detection sensitivity, good linearity, and accurate quantitative analysis. However, in the detection of biogenic amines in aquatic products, the existing HPLC methods show some disadvantages. Firstly, because most biogenic amines lack a suitable chromophore, they have to be derived with dansyl chloride (Dns-Cl), o-phthalaldehyde or other reagents before analyzing with ultraviolet or fluorescence detection, but the derivatization procedures of the existing methods are laborious and time-consuming, it even need to take 1.5–2 hours for the sample pretreatment and derivation [11, 12]. The derivation process of the China's national standard HPLC method for biogenic amines takes more than 30 min. Secondly, some HPLC methods cannot detect the eight biogenic amines simultaneously [13]. And more importantly, as the increasing concern to food safety, researchers want to explore the formation mechanism of biogenic amines during the processing or storage, they have to determine the biogenic amines at a very low level, but the sensitivity of the existing HPLC methods cannot meet the requirements.

Hence, in the study, a new derivatization method which was simple and time-saving was optimized and developed for the simultaneous determination of eight biogenic amines coupled to HPLC method. The sensitivity and repeatability of the developed method was finally validated and applied to the detection of biogenic amines in five kinds of fermented aquatic products.

Materials and methods

Reagents and samples

TRY, PHE, PUT, CAD, HIS, TYR, SPD, SPM, and Dns-Cl were purchased from Sigma-Aldrich Chemical Company (Germany). Methanol and Acetonitrile of chromatographic grade purity were purchased from TEDIA Chemical Company (USA). Ultrapure water was obtained from a Milli-Q ultrapure system (USA). All the other chemicals were purchased from Sinopharm Group (China) with analytical reagent grade.

Crucian carp, sea bass and turbot were purchased from Nanshan Fishery Market (Qingdao, China). Canned fermented fish and shrimp paste of various brands were purchased from Liqun Commercial Building (Qingdao, China).

Sample preparation

Stock solution of eight biogenic amines were prepared with 0.1 mol/L HCl to a concentration of 1,000 mg/L and stored at −20 °C. During the experiment, working solutions were prepared freshly by diluting the stock solutions to the desired concentration with 0.1 mol/L HCl and derivatized individually.

All the aquatic product samples were homogenized with a small food grade beater for 5 min at room temperature for the further use. Five gram of the homogenized sample was taken in a 50 mL centrifuge tube, mixed with 20 mL of 5% trichloroacetic acid solution for 10 min by a homogenizer (T10, IKA, German) to fully extract the biogenic amines. The mixture was centrifuged at 3,500g for 20 min (High speed refrigerated centrifuge, Neo 15, HealForce, China), and the supernatant was transferred to 25-mL volumetric flask and adjusted to 25 mL. One mililiter of the solution was taken for the derivation.

Sample derivation

One mililiter of saturated NaHCO3 was added to 1 mL of sample solution and mixed well, after adjusting the pH to 9 with 1 mol/L of NaOH, 1 mL of Dns-Cl dissolved in acetone at the concentration of 10 mg/mL was added and vibrated thoroughly. The tube was incubated in a water bath at 60 °C for 20 min, then 3 mL of ether was added and vortexed for 1 min, resting for 2 min until the layers separated. The upper organic layer was transferred to another tube and dried under nitrogen. The residue was dissolved with 0.9 mL of acetonitrile and 0.1 mL of ammonia (25%) was added to remove excess derivatizing agent. The sample was filtered through a 0.22 μm filter (PES, 0.22 μm, JINTENG) for the liquid chromatography analysis.

High-performance liquid chromatography (HPLC) analysis

The HPLC analysis was performed with a HITACHI high-performance liquid chromatograph (Chromaster, HITACHI, Japan). An Agilent Eclipse Plus C18 column (4.6 mm × 250 mm, 5 μm) was chosen for the separation of the eight biogenic amines as the follow conditions: The column temperature was set to 40 °C, the injection volume was 20 μL per injection, the liquid flow rate was 1.0 mL/min and the UV detection wavelength was 254 nm. The gradient elution procedure consisting of acetonitrile and ultrapure water was carried as shown in Table 1.

Table 1.

Liquid phase gradient elution procedure

Time (min)091012152025
Acetonitrile (%)607580951006060
Ultrapure water (%)402520504040

Statistical analysis

Statistical analyses were performed using the PAWS statistics 18.0 software (SPSS, USA). The experiments were performed in triplicate and the data were expressed as average ± relative standard deviation.

Results and discussion

Optimization of derivative conditions

Because of the lack of neither UV-visible absorption nor fluorescent effect, the biogenic amines need to be derived by some derivatization reagents such as Dns-Cl, phthalaldehyde, benzoyl chloride and so on. Among them, Dns-Cl was preferred due to its stable and higher detection sensitivity for SPD and SPM [14].

It has been reported that the amount of Dns-Cl affected the efficiency of derivatization significantly. One molecule of Dns-Cl could derive one molecule of the amino terminal of biogenic amines theoretically, but Dns-Cl was commonly overused in practically. On the other hand, Dns-Cl itself has a high chromatographic peak, which would affect the quantitative calculation of biogenic amines. The excess Dns-Cl was usually removed by adding ammonia-containing compounds such as sodium glutamate solution, proline or ammonia water after the incubation of water bath and before the extraction in the dark condition for 30–40 min, which was time consuming and difficult to ensure that the excess Dns-Cl was removed completely [15, 16]. Therefore, in this study, the amount of Dns-Cl for the derivation was optimized and a new method for the removal of the excess of Dns-Cl was developed.

As shown in Fig. 1, the peak area of SPM at the same concentration (10 mg/L) increased with the amount of Dns-Cl, when the concentration of Dns-Cl reached to 2.0 mg/mL, the peak area of SPM kept stable at a high value. Meanwhile, after derivatization, extraction, nitrogen drying and redissolution, ammonia water was added, and the yellow color of the solution was observed to fade rapidly, and the peak of Dns-Cl was no longer appeared in the liquid chromatogram, indicating that the excessive Dns-Cl was completely removed. The method was time saving, simple and easy to operate, which could improve the experimental efficiency significantly.

Fig. 1.
Fig. 1.

Changes of SPM (10 mg/L) peak area with the amount of Dns-Cl added

Citation: Acta Chromatographica 33, 4; 10.1556/1326.2020.00824

Method evaluation

Linearity, sensitivity and repeatability

After derivation at the optimal conditions described above, liquid phase analysis was carried out on each biogenic amine standard with a certain concentration to determine its peak time, and then eight biogenic amines mixed standard samples were used for the detection. The eight biogenic amines were completely separated within 18 min when eluted by acetonitrile and ultrapure water in a gradient elution procedure (Fig. 2). Compared with the previous methods reported by Zeng et al. [13] and Saaid et al. [17] the analysis time of the developed HPLC method in this study was shortened by about 12 min, and it was reduced by nearly 58 min compared with that reported by Kirschbaum, et al. [18] which could improve the detection efficiency of biogenic amines significantly.

Fig. 2.
Fig. 2.

Chromatogram of biogenic amine standard (50 mg/L). 1: TRY, 2: 2-PHE, 3: PUT, 4: CAD, 5: HIS, 6: TYR, 7: SPD, 8: SPM

Citation: Acta Chromatographica 33, 4; 10.1556/1326.2020.00824

The eight biogenic amines mixed standard stocks were series diluted to validated the linearity, sensitivity, precision and accuracy of the developed methods, as shown in Table 2, the linear relationship of TRY and TYR was in the range of 0.05–50 mg/kg, while the other six were 0.1–50 mg/kg with a good linear coefficient (r2 > 0.999). When calculated with the signal-to-noise ratio (S/N), the detection limits (LODs) (S/N = 3) of the eight biogenic amines were ranged from 0.007 to 0.021 mg/kg, and the limits of quantification (LOQs) (S/N = 10) were ranged from 0.024 to 0.069 mg/kg. The LODs and LOQs are much lower than that reported by Mazzotti et al. [19] Self et al. [20] and Simat et al. [21] indicating that the method could be used to detect the biogenic amines at low levels.

Table 2.

The calibration curve, correlation coefficients (R2), linear ranges, limits of detection (LODs), limits of quantification (LOQs), and relative standard deviation (RSD) of the HPLC method

Biogenic amineCalibration curveR2Linear range (mg/kg)LOD (mg/kg)LOQ (mg/kg)RSD (%)
Intra-batch differencesInter-batch differences
TRYy = 10.228x − 4.034110.05–500.021 ± 0.030.069 ± 0.080.161.83
2-PHEy = 12.926x − 6.07810.99970.1–500.017 ± 0.070.058 ± 0.111.044.57
PUTy = 34.624x − 4.720.99930.1–500.007 ± 0.190.024 ± 0.185.486.26
CADy = 35.61x − 6.6610.99960.1–500.008 ± 0.160.028 ± 0.214.174.82
HISy = 25.487x − 19.0590.99950.1–500.007 ± 0.180.024 ± 0.194.013.94
TYRy = 21.373x − 4.7340.99990.05–500.010 ± 0.020.032 ± 0.061.591.56
SPDy = 25.245x + 10.2980.99920.1–500.011 ± 0.250.035 ± 0.177.279.52
SPMy = 28.254x − 13.3570.99940.1–500.014 ± 0.200.047 ± 0.227.0012.66

Meanwhile, the 10 mg/kg standard mixed solution was derived in parallel twice and injected three times respectively to calculated the RSD values represented the intra-batch difference. Another set of RSD value was calculated based on the data of 10 mg/kg standard mixed solution injected four times in different batches to represent the inter-batch difference. All the RSD values obtained were less than 13%, indicating that the method had good repeatability.

Accuracy evaluation

100 μL, 500 μL, and 1 mL of 100 mg/L mixed standard solution of biogenic amines were added to 5 g of homogenized fish meat samples respectively to obtain spiked samples of crucian carp, sea bass, and turbot with spiked concentrations of 2.0, 10.0, and 20.0 mg/kg. At the same time, the baseline values of biogenic amines in three fish backgrounds were determined to evaluate the recovery rates at different addition levels. As shown in Table 3, the recovery rates of eight biogenic amines were basically between 68 and 123% while the RSDs were less than 15%, indicating that the method was adaptable to a variety of aquatic products. The liquid chromatograms of blank samples and spiked samples (20 mg/kg) were shown in Fig. 3.

Table 3.

Baseline values and recovery rates of the biogenic amines from crucian carp, bass, and turbot

Biogenic amineCrucian carpSea bassTurbot
Baseline value (mg/kg)Recovery (%)Baseline value (mg/kg)Recovery (%)Baseline value (mg/kg)Recovery (%)
2 mg/kg10 mg/kg20 mg/kg2 mg/kg10 mg/kg20 mg/kg2 mg/kg10 mg/kg20 mg/kg
TRY1.66 ± 0.01112.70 ± 6.9773.14 ± 1.28100.93 ± 9.68ND68.62 ± 3.7988.39 ± 1.9588.21 ± 1.57ND60.62 ± 6.3959.91 ± 2.5498.60 ± 5.60
2-PHE6.78 ± 0.11122.37 ± 1.73106.28 ± 2.7694.45 ± 4.069.58 ± 0.6626.68 ± 2.8078.33 ± 2.4678.31 ± 4.940.85 ± 0.3492.22 ± 13.75109.44 ± 5.2690.43 ± 2.56
PUT8.22 ± 0.33102.23 ± 0.7198.47 ± 1.4299.08 ± 5.334.85 ± 0.0886.51 ± 1.36100.00 ± 0.0397.28 ± 3.330.87 ± 0.08117.57 ± 6.33111.56 ± 2.41106.46 ± 4.23
CAD5.22 ± 0.0194.37 ± 1.0598.35 ± 0.8497.34 ± 6.014.57 ± 0.0878.89 ± 0.7789.52 ± 1.1893.30 ± 2.190.25 ± 0.02100.99 ± 6.07103.54 ± 1.02101.59 ± 4.86
HIS6.03 ± 0.13102.51 ± 1.47108.56 ± 4.83100.64 ± 4.283.05 ± 0.2199.46 ± 4.3497.09 ± 0.5297.20 ± 1.991.28 ± 0.1299.33 ± 3.24101.32 ± 1.31100.51 ± 5.32
TYR0.45 ± 0.01107.72 ± 0.6496.80 ± 0.70101.48 ± 4.85ND100.45 ± 0.6396.10 ± 2.3598.61 ± 1.37ND76.28 ± 1.7393.99 ± 1.2893.81 ± 4.75
SPD15.10 ± 0.81168.27 ± 4.33117.69 ± 0.85121.39 ± 4.968.48 ± 0.1984.99 ± 3.32110.84 ± 1.9098.23 ± 5.103.00 ± 0.02112.70 ± 1.86119.37 ± 8.36111.24 ± 4.59
SPM20.32 ± 0.64140.62 ± 0.26123.50 ± 1.49111.74 ± 9.8417.20 ± 0.37111.63 ± 6.0174.69 ± 1.8278.03 ± 7.7119.26 ± 0.06162.20 ± 2.45104.56 ± 1.0899.92 ± 4.38

ND, not detected.

Fig. 3.
Fig. 3.

Chromatograms of blank and spiked samples (20 mg/kg). (a) crucian carp, (b) spiked crucian carp, (c) sea bass, (d) spiked sea bass, (e) turbot, (f) spiked turbot. 1: TRY, 2: 2-PHE, 3: PUT, 4: CAD, 5: HIS, 6: TYR, 7: SPD, 8: SPM

Citation: Acta Chromatographica 33, 4; 10.1556/1326.2020.00824

Application to real samples

Five kinds of fermented aquatic products, including four kinds of canned fish and one shrimp paste product from the local supermarket were selected to validate the application of the developed HPLC method. As shown in Table 4 and Fig. 4, the types, contents and proportions of biogenic amines in the five fermented aquatic products were different. The total content of biogenic amines in shrimp paste was the highest, which had reached to 455.75 mg/kg. The high content of biogenic amine was closely related to the processing of shrimp paste that needed a long time of fermentation [22]. The total biogenic amines in the other four types of fermented fish products were range from 69.46 to 142.32 mg/kg, which were not significantly different from similar studies [13, 23]. TRY was the most abundant biogenic amine in shrimp paste. CAD and PUT were the main biological amines in fermented canned fish products, which is consistent with existing research [24, 25]. However, the contents of HIS, which was the commonly detected index in food safety standards, were range from 6.15 to 12.29 mg/kg. The levels of biogenic amines in the detected fermented aquatic products were lower than the relevant limit standards, indicating that not only HIS, but also CAD, PUT, TRY, and the total biogenic amines should be considered when formulating and improving relevant regulations.

Table 4.

The concentrations of eight biogenic amines in five commercial fermented aquatic products

BAs (mg/kg)TRY2-PHEPUTCADHISTYRSPDSPMTotal
Canned anchovies (Ganzhu)2.31 ± 0.009.23 ± 0.2810.53 ± 0.079.72 ± 0.026.24 ± 0.186.75 ± 0.3611.16 ± 0.4913.53 ± 0.3969.46
Canned anchovies (Yuehua)2.36 ± 0.0812.91 ± 0.3222.69 ± 0.3459.55 ± 2.226.53 ± 0.087.20 ± 0.3113.16 ± 2.5915.75 ± 0.29140.15
Canned saury (Kaixipopo)2.49 ± 0.118.90 ± 0.3424.11 ± 0.1025.43 ± 0.136.15 ± 0.0414.67 ± 0.4210.92 ± 0.2412.72 ± 0.11105.39
Canned yellow croaker (Kaixipopo)2.73 ± 0.079.03 ± 0.5420.97 ± 0.1543.26 ± 0.646.68 ± 0.0635.69 ± 0.5511.47 ± 0.4612.49 ± 0.10142.32
Shrimp paste (Lijinji)313.49 ± 2.235.69 ± 0.1553.60 ± 1.6526.95 ± 0.7312.29 ± 0.0422.44 ± 0.079.96 ± 0.2111.33 ± 0.00455.75
Fig. 4.
Fig. 4.

Chromatograms of 5 kinds of fermented aquatic products. (a) Canned anchovies (Ganzhu), (b) Canned anchovies (Yuehua), (c) Canned saury (Kaixipopo), (d) Canned yellow croaker (Kaixipopo), (e) Shrimp paste (Lijinji). 1: TRY, 2: 2-PHE, 3: PUT, 4: CAD, 5: HIS, 6: TYR, 7: SPD, 8: SPM

Citation: Acta Chromatographica 33, 4; 10.1556/1326.2020.00824

Conclusion

In this study, a HPLC for the simultaneous determination of eight biogenic amines in aquatic products, which was much more efficient and sensitive (Table 5) to the existing HPLC, was developed and validated. the eight biogenic amines could be well separated in 18 mins with a time saving simple and easy to operate derivation procedure by Dns-Cl. The validation and application to real samples indicated that the developed method could accurately detect the biogenic amines in the fermented aquatic products at a low concentration.

Table 5.

Summary of HPLC methods for the determination of biogenic amines in aquatic products

AnalytesSampleTime required for sample preparation and derivatizationDetectionAnalysis timeLinear rangeLODLOQReference
TRY, PHE, PUT, CAD, HIS, TYR, SPD, SPMVarious aquatic products53 minUV (254 nm)18 min0.1–50 mg/kg0.007–0.021 mg/kg0.024–0.069 mg/kgThis article
PUT, PHE, HIS, CAD, HEX, TYR, SPD, SPM, ESSeveral food samples96 minFLD (λEX = 270 nm, λEM = 430 nm)42 min0.005–2.5 μmol/L0.27–0.69 μg/LNot mentioned[11]
TRY, PUT, CAD, HIS, TYR, SPD, SPMYulu130 minFLD (λEX = 350 nm, λEM = 520 nm)33 min0.25–50 mg/kg0.38–2.99 mg/kg1.17–9.06 mg/kg[12]
TRY, PUT, CAD, HIS, TYR, SPDGrass carp140 minUV (254 nm)30 min0.5–100 μg/mLNot mentionedNot mentioned[13]
TRY, PHE, PUT, CAD, HIS, TYR, SPD, SPMCatfish105 minUV (254 nm)37.5 min2–100 mg/LNot mentionedNot mentioned[16]
TRY, PHE, PUT, CAD, HIS, TYR, SPD, SPMSaury107 minUV (254 nm)15 min1–100 mg/kg0.02–0.17 mg/kg0.067–0.57 mg/kg[26]
TRY, PHE, PUT, CAD, HIS, TYR, SPD, SPM, Octopamine, SerotoninVarious aquatic products95 minUV (254 nm)30 min0.2–10 mg/L0.8–5 μg/g30 μg/g[27]

Notes

The authors declare no competing financial interest.

Acknowledgment

This work was supported by the National Key R&D Program of China (2018YFD0901005).

References

  • 1.

    Chung, M.; Davaatseren, M.; Doeun, D. Food Sci. Biotechnol. 2017, 26, 14631474.

  • 2.

    Zhang, J.; Liu, Z.; Hu, Y.; Fang, Z.; Chen, J.; Wu, D.; Ye, X. J. Food Sci. Technol. 2011, 48, 6975.

  • 3.

    ten Brink, B.; Damink, C.; Joosten, H. M.; Huis in't Veld, J. H. Int. J. Food Microbiol. 1990, 11, 73.

  • 4.

    Donthuan, J.; Yunchalard, S.; Srijaranai, S. Analyt. Method 2014, 6, 1128.

  • 5.

    Tao, Z.; Sato, M.; Nakano, T.; Tan, Z.; Han, Y.; Yamaguchi, T. Food Control 2011, 22, 11541157.

  • 6.

    Li, C.; Jiang, X.; Hou, X. Microchem. J. Devoted to the Application of Microtechniques in all Branches of Science 2015, 119, 108113.

  • 7.

    Jastrzebska, A.; Piasta, A.; Szlyk, E. J. Analyt. Chem. 2015, 70, 11311138.

  • 8.

    An, D.; Chen, Z.; Zheng, J.; Chen, S.; Wang, L.; Huang, Z.; Weng, L. Food Chem. 2015, 168, 16.

  • 9.

    Leng, P.; Zhao, F.; Yin, B.; Ye, B. ChemComm (Cambridge, England). 2015, 51, 87128714.

  • 10.

    Henao-Escobar, W.; Del Torno-de Román, L.; Domínguez-Renedo, O.; Alonso-Lomillo, M. A.; Arcos-Martínez, M. J. Food Chem. 2016, 190, 818823.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 11.

    Li, G.; Dong, L.; Wang, A.; Wang, W.; Hu, N.; You, J. Lwt Food Sci. Technol. 2014, 355361.

  • 12.

    Jiang, W.; Xu, Y.; Li, C.; Dong, X.; Wang, D. Food Addit. Contam. B 2014, 7, 2529.

  • 13.

    Zeng, N.; Jiang, Y.; Chen, L.; Zhao, L.; Bai, C.; Yuan, M.; Wei, Y. Sci. Technol. Food Ind. 2016, 37, 117122.

  • 14.

    Chen, X.; Hu, Y.; Li, L.; Huang, Z. Chin. J. Food Sci. 2015, 15, 211217.

  • 15.

    Chinese National Food Safety Standard. GB 5009.208-2016. Determination of biogenic amines in food.

  • 16.

    Zhao, Q.; Deng, J.; Yang, X.; Li, L.; Hu, X.; Wang, J.; Wu, Y.; Wei, Y. Sci. Technol. Food Ind. 2018, 39, 260267.

  • 17.

    Saaid, M.; Ali, A. S. M.; Saad, B.; Hashim, N. H.; Saleh, M. I. Food Chem. 2009, 113, 13561362.

  • 18.

    Kirschbaum, J., Rebscher, K., Brückner, H. J. Chromatogr. A 2000, 517530.

  • 19.

    Mazzotti, F.; Di Donna, L.; Napoli, A.; Aiello, D.; Siciliano, C.; Athanassopoulos, C. M. Sindona, G. J. Mass Spectrometry: JMS 2014, 49, 802810.

  • 20.

    Self, R. L.; Wu, W. J. Food Composit. Anal. 2012, 27, 169173.

  • 21.

    Simat, V.; Dalgaard, P. Lebensmittel-Wissenschaft Und-Technologie 2011, 44, 399406.

  • 22.

    Dai, P.; Li, Z.; Pan, Y.; Liu, Y.; Lin, J. Food Technol. 2013, 38, 286290.

  • 23.

    Wu, Y.; Chen, Y.; Li, L.; Yang, X.; Lin, W.; Yang, S. J. Fish. 2015, 15771586.

  • 24.

    Rabie, M.; Simon-Sarkadi, L.; Siliha, H.; El-seedy, S.; El Badawy, A. Food Chem. 2009, 115, 635638.

  • 25.

    Mah, J.; Han, H.; Oh, Y.; Kim, M.; Hwang, H. Food Chem. 2002, 79, 239243.

  • 26.

    Tian, X.; Liu, H.; Li, C.; Zhang, L.; Cao, M.; Liu, G. J. Food Safety Quality Inspect. 2017, 8, 11711178.

  • 27.

    Ding, Z.; Liu, C.; Chen, D.; Tang, Y.; Yong, K.; Fang, X. J. Anal. Test. 2006, 5962.

  • 1.

    Chung, M.; Davaatseren, M.; Doeun, D. Food Sci. Biotechnol. 2017, 26, 14631474.

  • 2.

    Zhang, J.; Liu, Z.; Hu, Y.; Fang, Z.; Chen, J.; Wu, D.; Ye, X. J. Food Sci. Technol. 2011, 48, 6975.

  • 3.

    ten Brink, B.; Damink, C.; Joosten, H. M.; Huis in't Veld, J. H. Int. J. Food Microbiol. 1990, 11, 73.

  • 4.

    Donthuan, J.; Yunchalard, S.; Srijaranai, S. Analyt. Method 2014, 6, 1128.

  • 5.

    Tao, Z.; Sato, M.; Nakano, T.; Tan, Z.; Han, Y.; Yamaguchi, T. Food Control 2011, 22, 11541157.

  • 6.

    Li, C.; Jiang, X.; Hou, X. Microchem. J. Devoted to the Application of Microtechniques in all Branches of Science 2015, 119, 108113.

  • 7.

    Jastrzebska, A.; Piasta, A.; Szlyk, E. J. Analyt. Chem. 2015, 70, 11311138.

  • 8.

    An, D.; Chen, Z.; Zheng, J.; Chen, S.; Wang, L.; Huang, Z.; Weng, L. Food Chem. 2015, 168, 16.

  • 9.

    Leng, P.; Zhao, F.; Yin, B.; Ye, B. ChemComm (Cambridge, England). 2015, 51, 87128714.

  • 10.

    Henao-Escobar, W.; Del Torno-de Román, L.; Domínguez-Renedo, O.; Alonso-Lomillo, M. A.; Arcos-Martínez, M. J. Food Chem. 2016, 190, 818823.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 11.

    Li, G.; Dong, L.; Wang, A.; Wang, W.; Hu, N.; You, J. Lwt Food Sci. Technol. 2014, 355361.

  • 12.

    Jiang, W.; Xu, Y.; Li, C.; Dong, X.; Wang, D. Food Addit. Contam. B 2014, 7, 2529.

  • 13.

    Zeng, N.; Jiang, Y.; Chen, L.; Zhao, L.; Bai, C.; Yuan, M.; Wei, Y. Sci. Technol. Food Ind. 2016, 37, 117122.

  • 14.

    Chen, X.; Hu, Y.; Li, L.; Huang, Z. Chin. J. Food Sci. 2015, 15, 211217.

  • 15.

    Chinese National Food Safety Standard. GB 5009.208-2016. Determination of biogenic amines in food.

  • 16.

    Zhao, Q.; Deng, J.; Yang, X.; Li, L.; Hu, X.; Wang, J.; Wu, Y.; Wei, Y. Sci. Technol. Food Ind. 2018, 39, 260267.

  • 17.

    Saaid, M.; Ali, A. S. M.; Saad, B.; Hashim, N. H.; Saleh, M. I. Food Chem. 2009, 113, 13561362.

  • 18.

    Kirschbaum, J., Rebscher, K., Brückner, H. J. Chromatogr. A 2000, 517530.

  • 19.

    Mazzotti, F.; Di Donna, L.; Napoli, A.; Aiello, D.; Siciliano, C.; Athanassopoulos, C. M. Sindona, G. J. Mass Spectrometry: JMS 2014, 49, 802810.

  • 20.

    Self, R. L.; Wu, W. J. Food Composit. Anal. 2012, 27, 169173.

  • 21.

    Simat, V.; Dalgaard, P. Lebensmittel-Wissenschaft Und-Technologie 2011, 44, 399406.

  • 22.

    Dai, P.; Li, Z.; Pan, Y.; Liu, Y.; Lin, J. Food Technol. 2013, 38, 286290.

  • 23.

    Wu, Y.; Chen, Y.; Li, L.; Yang, X.; Lin, W.; Yang, S. J. Fish. 2015, 15771586.

  • 24.

    Rabie, M.; Simon-Sarkadi, L.; Siliha, H.; El-seedy, S.; El Badawy, A. Food Chem. 2009, 115, 635638.

  • 25.

    Mah, J.; Han, H.; Oh, Y.; Kim, M.; Hwang, H. Food Chem. 2002, 79, 239243.

  • 26.

    Tian, X.; Liu, H.; Li, C.; Zhang, L.; Cao, M.; Liu, G. J. Food Safety Quality Inspect. 2017, 8, 11711178.

  • 27.

    Ding, Z.; Liu, C.; Chen, D.; Tang, Y.; Yong, K.; Fang, X. J. Anal. Test. 2006, 5962.

  • Collapse
  • Expand

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
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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