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SM Analytical and Bioanalytical Techniques

Evaluation of Solid Phase Extraction NH2 for Determination of Enniatins (A, A1, B, B1) and Beauvericin in Cereals by UPLC-MS/MS

[ ISSN : 2573-3729 ]

Abstract Citation Introduction Material and Methods Results and Discussion Conclusions Acknowledgements References
Details

Received: 01-Aug-2016

Accepted: 06-Oct-2016

Published: 12-Oct-2016

Juan Sun, Weixi Li, Yan Zhang, Huijie Zhang, Li Wu, Xuexu Hu and Bujun Wang*

Institute of Crop Sciences, Chinese Academy of Agricultural Science/Laboratory of Quality and Safety Risk Assessment for Cereal Products (Beijing), Ministry of Agriculture, Beijing 100081, China

Corresponding Author:

BuJun Wang, Institute of Crop Sciences, Chinese Academy of Agricultural Science/Laboratory of Quality and Safety Risk Assessment for Cereal Products (Beijing), Ministry of Agriculture, Beijing 100081, China, Tel: 010-82105798; Fax: 82108742; Email: wangbujun@caas.cn

Keywords

Enniatins; Beauvericin; NH2 solid-phase extraction; Recovery

Abstract

We report herein, for the first time, the application of NH2 solid-phase extraction NH2 (NH2-SPE) cartridge for cleanup of enniatins (ENA, ENA1 , ENB, ENB1 ) and Beauvericin (BEA) in cereals. Samples were sequentially extracted with a solution containing 80% acetonitrile and 0.1% formic acid and the extracts were cleaned up with NH2-SPE cartridges before being analyzed by Ultra-High Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS/MS). A CORTECS C18 column was used for separation of enniatins and beauvericin. Mass spectrometric analysis was conducted at the Positive Electrospray Ionization (ESI+) Mode with Multi Reactions Monitoring (MRM). Very good linear relationships between spiked levels of ENA, ENA1, ENB, ENB1, BEA in cereals and mass spectra were observed with regression coefficients of 0.995 to 0.999 and Detection Limits (LOD) range of 0.01 to 0.1 µg kg-1. Clean up with NH2-SPE cartridge gave more satisfactory recoveries ranging from 80.9% to 109.8% than with QuEChERS method that gave recoveries between 63.5% to 96.6%. Application of the NH2-SPE cartridge for the determination of enniatins and beauvericin showed detection levels ranging from 0.01 µg kg-1 to 127.87 µg kg-1 in corn and 0.01 µg kg-1 to 116.59 µg kg-1 for wheat.

Citation

Sun J, Li W, Zhang Y, Zhang H, Wu L, Hu X, et al. Evaluation of Solid Phase Extraction NH2 for Determination of Enniatins (A, A1, B, B1) and Beauvericin in Cereals by UPLC-MS/MS. SM Anal Bioanal Technique. 2016; 1(1): 1003.

Introduction

Enniatins (ENA, ENA1, ENB, ENB1) and Beauvericin (BEA) are a group of mycotoxins, which are cyclic hexadepsipeptides consisting of alternating hydroxy acid and N-methylamino acid residues. BEA has phenyl substituents on the N-methylamino acid residue whereas ENs has various aliphatic substituents at the same positions [1]. They are produced by several species of Fusarium such as Fusarium verticillioides, Fusarium proliferatum, Fusarium subglutinans, Fusarium oxysporum, Fusarium poae, and Fusarium avenaceum, which are known to contaminate cereals and cereal by-products [2]. These mycotoxins were called emerging mycotoxins for which little knowledge was available in the past. Recently, more research is focused at determining their occurrences and potential health effects [3].

Methods reported for determinations of ENs and BEA include HPLC-DAD analysis [4], stable isotope analysis [5], and UPLC-MS/MS analysis [6,7]. Various approaches have been proposed for extraction and clean up of mycotoxins, which are the critical steps in determining recoveries of mycotoxins. Extraction chemicals either used independently or in combination, include acetonitrile, formic acid and methanol [8]. A clean up step is typically performed on extracts [4,6,9]. QuEChERS (quick, easy, cheap, effective, rugged and safe) method have gained considerable attention for extraction of mycotoxins, including ENs and BEA [10,11] because of its simplicity. QuEChERS, however, does not perform clean up steps. As a result, it may cause damage to chromatographic column and the MS instrument and may influence recovery. SPE [12] is commonly used for clean up and used dispersive solid-phase extraction for water samples [13]. Jestoi, et al. [14] used SPE C8 column for clean-up of ENs and BEA, which resulted in mean recovery ranges of 76~82%, 55~66%,71~80%, 57~103%, and 68~116%, for BEA, ENA, ENA1 , ENB and ENB1 , respectively. However, some recoveries were low. Mycotosep@ 224 combined with silica SPE column (Supel- clean LC-Si, Supelco) was applied for cleaning up BEA [15] and was found to be well suited for extracting only minor amounts (µg kg-1) in corn and corn meal. SPE C18 and SPE CN have also been used for purification of ENs, BEA and other mycotoxins [16,17], but recovery results were unsatisfactory. Rubert et al. [17] compared the efficiency and efficacy of four different extraction procedures. Matrix solid phase dispersion, QuEChERS, and solid-liquid extraction gave recoveries of ENA, ENA1 , ENB, ENB1 , and BEA ranging from 67.1~74.1%, 70.5~77.3%, and 80.1~90.1%, respectively. SPE C18 clean up method resulted in low recoveries. To our knowledge, amino (NH2 ) columns, due to their strong polarity, are widely used in food residue extractions and separations but have not been used for purification of ENs and BEA. In this study, we used NH2 column for purifying 26 mycotoxins, including ZEN, OTA, FBs, ENs and BEA. Herein, we report a method for determination of ENs and BEAs with a focus on the efficiency and efficacy of extraction and cleanup by NH2 SPE. Moreover, we present ENs and BEAs determinations for 26 wheat, 167 corn and 25 rice samples collected in 2015 from fields in Henan, Hubei, Yunnan and Sichuan provinces in China, and from various supermarkets.

Material and Methods

Chemical and reagents

HPLC grade methanol, acetonitrile, and formic acid were purchased from Thermo Fisher Scientific (Shanghai, China). SPE NH2 column was purchased from Agilent (USA). Purified water was produce by a Mill-Q system (Millipore, Billerica, MA, USA). Other reagents were of analytical grade. The standards of ENA, ENA1 , ENB, ENB1 and BEA were purchased from Sigma-Aldrich (USA).

Preparation of standard solutions

The stock solutions of ENA, ENA1, ENB, ENB1 and BEA were prepared in methanol at a concentration of 100 mg L-1 and kept at -18°C in darkness. Working standard solutions were prepared immediately before use by diluting the stock solution with methanol/ water (50:50, v/v) at concentrations of 0.1, 0.2, 0.5, 1.0, 2.0, 5.0, 10.0, 50.0 µg L-1. Blank samples were prepared to minimize matrix effects by spiking working standard solution to mycotoxin-free cereals.

Sample preparation

Finely milled samples (2 ± 0.05 g) were weighed and placed into a 50 mL centrifuge tube. A 20 mL extraction solution of acetonitrile/ water (80:20, v/v) containing 0.1% formic acid was added. The sample was vortexed for 30 s, put in an automatic thermostatic cultivation shaker (Yiheng Technology Co., LTD, Shanghai, China) for 30 minutes, and filtered into a 50 mL centrifuge tube.

For the cleanup step, SPE NH2 column was pre-washed with 5 mL acetonitrile. Extracts (2 mL) were loaded onto the washed cartridge and eluted by adding 2 mL methanol. The cleaned up eluents were evaporated to dryness at 55°C under an N2 stream and the dried residues were dissolved in 1.0 mL of methanol/water (1:1, v/v), vortexed for 1 min, and then filtered through 0.22 µm nylon filter (Membrana, Germany) for analysis.

UPLC-MS/MS analysis

The analyses of mycotoxins were performed using UPLC-MS/MS (XEVO-TQ, Waters, USA). The separation column was CORTECS C18 (100 × 2.1 mm, 1.6 μm, Waters, USA) and the flow rate was 250 µL min-1. Volumes of strong wash (90% MeOH) and weak wash (10% MeOH) solvents were 100 µL and 600 µL, respectively. Mobile phases consisted of (A) MeOH and (B) 0.5% formic acid water solution. The gradient elution was as follows: 5% A, and rapidly increased to 85% A in 4.5 minutes, then slowly increased to 100% within 4.8 minutes, then linearly lowered to 5% A in 8.5 minutes. The column temperature was maintained at room temperature and the sample temperature was 20°C. The injection volume was 5.0 µL. Data processing was performed with MassLynx 4.0 software (Waters, USA).

The mass spectrometric (MS/MS) detection was carried out at the positive mode using electrospray ionization (ESI+). For infusion experiments, 0.1 mg L-1 of the mycotoxins standards dissolved in MeOH solution was used at a flow rate of 25 μL min-1. The capillary voltage was 2.5 kV. Nitrogen was used as cone, nebulizing and desolvation gas. The source and desolvation temperatures were set at 110°C and 500°C, respectively. Cone and desolvation gas flow were maintained at 20 L h−1 and 800 L h−1, respectively. The collision gas flow rate was 0.17 mL min-1. The analysis of the mycotoxins was performed in Multiple Reactions Monitoring (MRM) mode. Information on the respective mycotoxins and the optimum cone voltage and collision energy are shown in Table 1.

Table 1: UPLC-MS/MS acquisition parameters for enniatins and beauvericin.

 

Mycotoxins

Retention time

Parent ion

Daughter ion

Dwell time

Cove voltage

Collision energy

(min)

(m/z)

(m/z)

(s)

(V)

(V)

 

ENA

 

7.66

 

682.29

210.0(Q)

0.005

48

26

228.0(q)

0.005

48

28

 

ENA1

 

7.50

 

668.28

99.9(Q)

0.005

48

60

210.0(q)

0.005

48

26

 

ENB

 

7.30

 

640.18

195.9(Q)

0.005

46

24

213.9(q)

0.005

46

26

 

ENB1

 

7.45

 

654.26

99.9(Q)

0.005

46

54

195.9(q)

0.005

46

24

 

BEA

 

7.36

 

784.24

243.9(Q)

0.005

48

28

262.0(q)

0.005

48

26

Results and Discussion

Evaluation of matrix effect

Matrix Effects (ME) are unavoidable in detection. At present, literatures report the use of internal standards, such as Zearalanone (ZEA) and Deepoxy-Deoxynivalenol (DOM) [18] or isotope-labeled standards [19] to minimize matrix effects. Although the use of internal standard may result in good linear relationship and high precision, choosing the appropriate one in a multi-component analysis is often difficult and expensive. The response of the target mycotoxins can be suppressed or enhanced on account of the interfering matrix components. The ME calculated as 100× (1- area of mycotoxin standard in blank sample / area of mycotoxin standard in solvent) of different blank wheat, corn and rice samples are shown in Table 2.

Table 2: Calibration curves, linear ranges, correlation coefficients (r), LODs, LOQs, and ME of ENs and BEA.

 

Matrix

 

Mycotoxins

 

Calibration curve

Linear range

 

r

LOD

LOQ

ME

(μg/kg)

(μg/kg)

(μg/kg)

(%)

 

 

 

wheat

ENA

Y=13611.8X+5695.25

0.04~100

0.9998

0.10

0.4

-91.1

ENA1

Y=8862.07X+8001.94

0.01~100

0.9998

0.01

0.05

-89.9

ENB

Y=9520.86X+17039.2

0.01~100

0.9998

0.01

0.05

-90.6

ENB1

Y=7140.00X+3812.5

0.01~100

0.9999

0.01

0.05

-88.8

BEA

Y=4492.0X+1533.88

0.01~ 40

0.9995

0.01

0.05

-91.7

 

 

 

corn

ENA

Y=11966.0X+1333.36

0.1~100

0.9993

0.10

0.4

-89.2

ENA1

Y=9628.2X±8145.22

0.04~100

0.9991

0.04

0.1

-89.5

ENB

Y=10265.2X+426.14

0.04~100

0.9996

0.04

0.1

-90.8

ENB1

Y=6535.65X±1278.84

0.04~100

0.9998

0.04

0.1

-88.8

BEA

Y=4492.0X±3272.31

0.04~100

0.9991

0.04

0.1

-89.8

 

 

 

rice

ENA

Y=14482.3X+10622.7

0.1~100

0.9994

0.10

0.4

-89.8

ENA1

Y=8203.18X+3631.36

0.04~100

0.9998

0.04

0.1

-90.4

ENB

Y=10658.2X+703.74

0.04~100

0.9999

0.04

0.1

-90.5

ENB1

Y=5104.59X+3428.13

0.04~100

0.9992

0.04

0.1

-90.2

BEA

Y=3858.85X+1725.76

0.04~100

0.9998

0.04

0.1

-90.6

It can be observed that the signal suppression effect was very prominent for ENs and BEA, with percentage ranging from 88.8% to 91.7% and this suppression effect is far beyond the tolerable range of +20% to -20% [11]. The signal suppression effect in barley was reported to be at 77.9~110.1% [20]. Matrix effects caused by different cereals were significant for most of the mycotoxins. Blank matrix preparation of standard curve reduces the impact of the matrix interference in parallel and improves the accuracy of analysis

Calibration curves

The calibration curves were evaluated using a blank sample of wheat, corn and rice spiked with a series of concentrations: 0.01, 0.04, 0.4, 1, 4, 10, 20, 40, 100, 200 µg L-1. It was constructed by plotting the peak areas (y) against the concentration of analytes (x). Highly linear relationships were achieved with linear regression coefficients (r) of 0.9991 to 0.9999 (Table 2).

Comparison of Limit of Detection (LOD) and Limit of Quantification (LOQ)

LODs and LOQs were calculated from spiked blank samples at the lowest spiking level (3-fold and 10-fold the S/N, for LOD and LOQ, respectively) based on the MRM chromatograms as shown in Figure 1.

Figure 1: The LOD levels of ENs and BEA. The chromatogram was obtained from a blank sample at 0.04 μg kg-1

The obtained results were listed in Table 2. The LOD and LOQ values ranged from 0.01 to 0.1 µg kg-1 and 0.05 to 0.4 µg kg-1, respectively.

The different cleanup procedures produce various results of LOD. A study reported methanol extraction from cereals and derived products from Tunisia giving LOD for ENA, ENA1 , ENB, ENB1 and BEA of 215, 140, 145, 165 and 170 µg kg-1 and LOQ of 600, 400, 400, 500 and 500 µg kg-1, respectively [21]. Another method used direct injection in maize and maize silage extracts without any tedious and laborious clean up procedures. The LOQ was 13 ng g-1 for BEA and 17, 34, 24, and 26 ng g-1 for ENA, ENA1 , ENB, ENB1 , respectively [22]. There was no apparent change in LOD when SPE C8 column was used [6]. The calculated LOQ for BEA and ENA, ENA1 , ENB, and ENB1 were 0.2, 0.2, 0.7, 0.9, and 1.5 mg kg-1, respectively [6]. When using LC-MS/MS with atmospheric pressure chemical ionization and without further treatment of sample extracts from grain, the LOD and LOQ were 3.0 µg kg-1 to 10 µg kg-1 for BEA, ENA, ENB and ENB1 and 4.0 µg kg-1 to 13 µg kg-1 for ENA1 [9]. Moreover, On-Line Thermospray-Mass Spectrometry (LC/TSP/MS) was used to analyze BEA, which resulted in a very low detectable limit of 1 ng and an S/N of 5:1 [23]. Overall, the LOD was obviously decreased about one order of magnitude when using SPE NH2 compared to other methods reported in literatures.

Method precision and accuracy

Method precision was evaluated for intra-day and inter-day repeatability for six times in wheat matrices. The Relative Standard Deviations (RSDs) for ENA, ENA1 , ENB, and ENB1 were 2.6, 2.9, 8.6, 4.1, 6.0%, respectively and 8.2, 8.6, 6.9, 11.1% for BEA (Table 3). The results showed that the RSDs for the inter-day repeatability study were obviously higher than those of intra-day. Nonetheless, these values were still below 15% and within the allowable range. Method accuracy was evaluated by recovery of standard mycotoxins that were spiked to blank matrices at three different concentrations (Table 3).

Table 3: Recovery values of different spiked levels of ENs and BEA in cereals.

Mycotoxins

spiked level (μgkg-1)

whea

t

corn

 

rice

 

Recovery (%)

RSD (%)

Recovery (%)

RSD (%)

Recovery (%)

RSD (%)

ENA

1

85.7

7.0

83.2

4.3

84.8

12.1

10

85.0

5.5

83.0

1.7

82.5

1.4

50

90.2

12.5

97.3

1.0

87.0

0.7

ENA1

1

104.7

10.3

88.7

7.4

84.8

1.8

10

109.8

1.3

81.7

2.7

82.1

1.2

50

99.3

6.8

88.0

2.6

96.6

1.0

ENB

1

88.7

2.1

100.0

6.1

87.3

2.9

10

92.1

3.6

84.9

1.7

82.6

3.0

50

105.7

5.2

108.5

1.0

103.1

7.2

ENB1

1

99.0

4.5

96.2

8.9

91.3

2.8

10

80.9

2.3

80.6

1.4

92.2

3.2

50

101.5

3.1

85.9

2.7

106.0

2.7

BEA

1

87.2

1.8

93.7

4.6

94.0

5.4

10

98.2

5.9

107.5

3.7

83.8

0.9

50

98.7

5.6

88.2

7.1

83.0

4.6

The recovery values were within 80.9 to 109.8% with RSDs of 0.7~12.5%. The results demonstrated that the method applied was highly accurate and precise.

Comparison of recovery for different extraction and clean up methods

Based on the recovery results (Table 4),

Table 4: Recovery values of different spiked levels of ENs and BEA in cereals.

 

Mycotoxins

 

spiked level (μg kg-1)

Wheat Recovery (%)

Corn Recovery (%)

Rice Recovery (%)

QuEChERS our laboratory

SPE

QuEChERS our laboratory

SPE

QuEChERS       our laboratory

SPE

ENA

50

63.5

90.2

63.5

97.3

69.3

87.0

ENA1

50

64.9

99.3

63.7

88.0

74.2

96.6

ENB

50

69.7

105.7

96.6

108.5

79.3

103.1

ENB1

50

65.0

101.5

73.1

85.9

77.3

106.0

BEA

50

71.7

98.7

74.8

88.2

67.9

83.0

SPE NH2 clean up were superior to QuEChERS method (established in our laboratory), showing increased recoveries of 10.9~36.0%. It may be due to the use of amino column (NH2 ), which has strong polarity, promoting better adsorption of impurities while preserving target compounds, thereby significantly reducing the matrix interference. The same clean up using NH2 SPE has validated that strong binding with fumonisins and ochratoxin A in sorghum led to unsatisfactory recovery [18]. No purification methods using amino SPE have been found in any relevant literature.

Use of SPE C8 column for cleanup of mycotoxins showed low recoveries of ENs [14]. The mean recoveries for BEA, ENA, ENA1 , ENB, and ENB1 were 76~82%, 55~66%, 71~80%, 57~103%, and 68~116%, respectively [14]. With QuEChERS, poor recoveries (60~87%) were observed when C18 and CN cartridges were used for dried fruit [16]. Matrix solid-phase dispersion extraction used in wheat grain showed a recovery of 71~78% [24].

The use of SPE cartridge HLB and C18 resulted in poorer recovery of 74.5, 75.1, 72.5, 109.7% for ENA, ENA1 , ENB1 and BEA, respectively [11]. Moreover, recovery of in human breast milk using QuEChERS extraction and UHPLC-HRMS detection was at 73~82% [25]). Satisfactory results (99.0~114.0%) validated based on QuEChERS extraction were observed in barley and malt [19]. These literatures suggest that satisfactory results could be obtained for all the ENs and BEA when SPE NH2 cleanup is performed.

Determination of ENs and BEA

The developed method was applied for the determination of ENs and BEA in 26 wheat, 167 corn, and 25 rice samples from supermarkets. Frequency and the number of ENs and BEA detected in corn and wheat is shown in Figure 2.

Figure 2: Frequency and number of ENs and BEA detected in corn (A) and wheat samples (B).

All mycotoxins were not detected in rice. However, a survey showed that commercial rice samples in Morocco could be contaminated with ENs (50%) and BEA (75.7%) [4].

Corn samples were contaminated with ENA (4%), ENA1 (18%), ENB (10%), ENB1 (13%), BEA (55%) at a range of 0.13 to 88.93 µg kg-1, 0.01 to 88.01 µg kg-1, 0.01 to 1.96 µg kg-1, 0.01 to 127.87 µg kg-1 and 0.01 to 116.59 µg kg-1, respectively. The main toxin in corn was BEA. Our results indicate that BEA may exist ubiquitously in maize crops; hence, more attention should be given to storage conditions to minimize contamination

Wheat samples were contaminated with 13%, 18%, 46%, and 23% of ENA, ENA1 , ENB and ENB1 , respectively. The contamination levels ranged from 0.12 to 1.11 µg kg-1, 0.12 to 1.48 µg kg-1, 0.12 to 21.22 µg kg-1, 0.25 to 1.97 µg kg-1 and 0.01 to 116.59 µg kg-1, for ENA, ENA1 , ENB and ENB1 , respectively. Results showed that ENB was obviously higher than the ENA in wheat samples. Similar results were also reported in wheat grain [24]. In Tunisia, higher amount of ENA1 compared to other ENs were reported probably due to the climatic conditions [21]. BEA was not detected in durum wheat samples from Italy [26].

Based on our results, it can be confirmed that ENs and BEA represent a risk for cereals. Therefore, it is suggested that national standards for detection and maximum tolerable daily intake should be established. Moreover, strengthening supervision and identification of potential risks is highly recommended.

Conclusions

A liquid chromatography-mass spectrometric method was developed and validated to determine Fusarium mycotoxins BEA and ENs (A, A1 , B, B1 ) in grain samples. Using NH2 column for ENs and BEA may provide a simple and cost-effective method of purification. Experiments were conducted to compare recovery and LODs with other methods reported in literatures. It can be concluded that the efficiency and efficacy of modified SPE clean up demonstrate superior performance over QuEChERS and other purification methods in various cereals. Considering its advantages, the proposed method could be utilized for monitoring and examining potential risk of mycotoxins in cereals by analytical laboratories. It could also provide the basis for establishing national standards.

Acknowledgements

The work was financially supported by the National Key Program on Quality and Safety Risk Assessment for Agro-products and the Agricultural Science and Technology program for Innovation Team on Quality and Safety Risk Assessment of Cereal Products, CAAS.

References

1. Jestoi M. Emerging fusarium-mycotoxins fusaproliferin, beauvericin, enniatins, and moniliformin: a review. Crit Rev Food Sci Nutr. 2008; 48: 21 49.

2. Nilanonta C, Isaka M, Kittakoop P, Palittapongarnpim P, Kamchonwongpaisan S, Pittayakhajonwut D, et al. Antimycobacterial and antiplasmodial cyclodepsipeptides from the insect pathogenic fungus Paecilomyces tenuipes BCC 1614. Planta med. 2000; 66: 756-758.

3. Marroquin-Cardona AG, Johnson NM, Phillips TD, Hayes AW. Mycotoxins in a changing global environment--a review. Food Chem Toxicol. 2014; 69: 220-230.

4. Sifou A, Meca G, Serrano AB, Mahnine N, El Abidi A, Mañes J, et al. First report on the presence of emerging Fusarium mycotoxins enniatins (A, A1 , B, B1 ), beauvericin and fusaproliferin in rice on the Moroccan retail markets. Food Control. 2011; 22: 1826-1830.

5. Hu L, Gastl M, Linkmeyer A, Hess M, Rychlik M. Fate of enniatins and beauvericin during the malting and brewing process determined by stable isotope dilution assays. LWT - Food Sci Technol. 2014; 56: 469-477.

6. Jestoi M, Rokka M, Järvenpää E, Peltonen K. Determination of Fusarium mycotoxins beauvericin and enniatins (A, A1, B, B1) in eggs of laying hens using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Food Chem. 2009; 115: 1120-1127.

7. Taevernier L, Veryser L, Vandercruyssen K, D’Hondt M, Vansteelandt S, De Saeger S, et al. UHPLC-MS/MS method for the determination of the cyclic depsipeptide mycotoxins beauvericin and enniatins in in vitro transdermal experiments. J Pharm Biomed Anal. 2014; 100: 50-57.

8. Sewram V, Nieuwoudt TW, Marasas WF, Shephard GS, Ritieni A. Determination of the Fusarium mycotoxins, fusaproliferin and beauvericin by high-performance liquid chromatography-electrospray ionization mass spectrometry. J Chromatogr A. 1999; 858: 175-185.

9. Uhlig S, Ivanova L. Determination of beauvericin and four other enniatins in grain by liquid chromatography-mass spectrometry. J Chromatogr A. 2004; 1050: 173-178.

10. Capriotti AL, Cavaliere C, Foglia P, Samperi R, Stampachiacchiere S, Ventura S, et al. Multiclass analysis of mycotoxins in biscuits by high performance liquid chromatography-tandem mass spectrometry. Comparison of different extraction procedures. J Chromatogr A. 2014; 1343: 69-78.

11. Frenich AG1, Romero-González R, Gómez-Pérez ML, Vidal JL. Multi mycotoxin analysis in eggs using a QuEChERS-based extraction procedure and ultra-high-pressure liquid chromatography coupled to triple quadrupole mass spectrometry. J Chromatogr A. 2011; 1218: 4349-4356.

12. Wen YY, Chen L, Li J, Liu D, Chen L. Recent advances in solid-phase sorbents for sample preparation prior to chromatographic analysis. TRAC Trend Anal Chem. 2014; 59: 26-41.

13. Wen Y, Niu Z, Ma Y, Ma J, Chen L. Graphene oxide-based microspheres for the dispersive solid-phase extraction of non-steroidal estrogens from water samples. J Chromatogr A. 2014; 1368: 18-25.

14. Jestoi M, Rokka M, Rizzo A, Peltonen K, Aurasaari S. Determination of Fusarium mycotoxins beauvericin and Enniatins with Liquid Chromatography Tandem Mass Spectrometry (LC-MS/MS). J Liq Chromatogr R T. 2005; 28: 369-381.

15. Josephs RD, Krska R, Schuhmacher R, Grasserbauer M. A rapid method for the determination of the Fusarium mycotoxinbeauvericin in maize. J Anal Chem. 1999; 363: 130-131.

16. Azaiez I, Giusti F, Sagratini G, Mañes J, Fernández-Franzón M. Multi mycotoxins Analysis in Dried Fruit by LC/MS/MS and a Modified QuEChERS Procedure. Food Analytical Methods. 2014; 7: 935-945.

17. Rubert J, Dzuman Z, Vaclavikova M, Zachariasova M, Soler C, Hajslova J. Analysis of mycotoxins in barley using ultra high liquid chromatography high resolution mass spectrometry: Comparison of efficiency and efficacy of different extraction procedures. Talanta. 2012; 99: 712-719.

18. Njumbe Ediage E, Van Poucke C, De Saeger S. A multi-analyte LC-MS/MS method for the analysis of 23 mycotoxins in different sorghum varieties: the forgotten sample matrix. Food Chem. 2015; 177: 397-404.

19. Bolechová M, Benešová K, Běláková S, Čáslavský J, Pospíchalová M, Mikulíková R. Determination of seventeen mycotoxins in barley and malt in the Czech Republic. Food Control. 2015; 47: 108-113.

20. Yogendrarajah P, Van Poucke C, De Meulenaer B, De Saeger S. Development and validation of a QuEChERS based liquid chromatography tandem mass spectrometry method for the determination of multiple mycotoxins in spices. J Chromatogr A. 2013; 1297: 1-11.

21. Oueslati S, Meca G, Mliki A, Ghorbel A, Mañes J. Determination of Fusarium mycotoxins enniatins, beauvericin and fusaproliferin in cereals and derived products from Tunisia. Food Control. 2011; 22: 1373-1377.

22. Sørensen JL, Nielsen KF, Rasmussen PH, Thrane U. Development of a LC MS/MS Method for the Analysis of Enniatins and Beauvericin in Whole Fresh and Ensiled Maize. J Agric Food Chem. 2008; 56: 10439-10443.

23. Thakur RA, Smith JS. Liquid Chromatography/Thermospray/Mass Spectrometry Analysis of Beauvericin. J Agric Food Chem. 1997; 45: 1234 1239.

24. Blesa J, Moltó JC, El Akhdari S, Mañes J, Zinedine A. Simultaneous determination of Fusarium mycotoxins in wheat grain from Morocco by liquid chromatography coupled to triple quadrupole mass spectrometry. Food Control. 2014; 46: 1-5.

25. Rubert J, León N, Sáez C, Martins CP, Godula M, Yusà V, et al. (2014). Evaluation of mycotoxins and their metabolites in human breast milk using liquid chromatography coupled to high resolution mass spectrometry. Anal Chim Acta. 2014; 820: 39-46.

26. Juan C, Covarelli L, Beccari G, Colasante V, Mañes J. Simultaneous analysis of twenty-six mycotoxins in durum wheat grain from Italy. Food Control. 2016; 62: 322-329

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Drug Optimization: Fighting Research to Achieve the Greatest Use of Darunavir

A design has been development that provides higher activity to darunavir, an antiretroviral drug, aiming a lower dose in the battle against HIV in children and adults. Globally this research paves the way to get a new darunavir: β-cyclodextrin complex driving future perspectives to new anti HIV drugs for clinical applications. β-cyclodextrins not only promote the solubility of darunavir, but can drive to development of new complexes able to combat HIV in lower doses and, therefore lower toxic effects. Analysis methods by chromatography, also, were developed to evaluated the quality of the complexed darunavir. All this effort to contemplate the patients of all ages and provide quality medicines as well as a better quality of life.

Ana Carolina Kogawa¹ and Hérida Regina Nunes Salgado¹*


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Enhancing Throughput of Glutathione Adduct Formation Studies and Structural Identification Using a Software-Assisted Workflow Based on High-Resolution Mass Spectrometry (HRMS) Data

The bioactivation of drugs to Reactive Metabolites (RM) has been related to drug-induced liver injury and hypersensitivity reactions in patients. Therefore, many pharmaceutical companies are investigating the potential to form reactive metabolites in vitro as an integral part of the optimization of drug candidates. A computer assisted workflow to efficiently analyze larger numbers of compounds for the formation of glutathione trappable RM is presented here. A set of 95 compounds with known bioactivation potential was selected for this study. Incubations with human liver microsomes were prepared with GSH. The acquisition of MS/MS spectra was triggered by ion intensity. MS with singly and doubly charged ions were used for peak detection and MS/MS spectra were used for structural elucidation. A confidence classification system for the GSH peak detection (high, medium, low) was developed based on the detection of characteristic fragment ions or neutral losses and applied to remove potential false positive results. A comparative analysis of the HRMS results with literature data was carried out. The most frequently observed Neutral Loss (NL) found in singly charged GSH adducts (drug-glutathione conjugates) were, the Neutral Loss (NL, 129 Da) and Fragment Ion (FI, m/z 308) and in the doubly charged ones the Fragment Ion (FI, m/z 130). These NL and FI were used to identify GSH-related drug metabolites. MS/MS spectra were inspected to aid structural elucidations: 17% of drug substrates and 29 % of GSH adduct metabolites were identified with only doubly charged ions, stressing the importance of considering this charge state in the identification workflow. A total of 41 compounds that form GSH adducts were retrieved from literature (HRMS, identified 28 compounds (68%) in high confidence, and the same result was obtained using precursor ion scan). By the confidence analysis of GSH peaks, the quality of the each GSH adduct was determined.

Esra Nurten Cece-Esencan¹, Fabien Fontaine², Guillem Plasencia²,³, Marieke Teppner³, Andreas Brink³, Axel Pähler³, and Ismael Zamora⁴*


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Electroanalysis: Towards a

Recent trends in the sensor community, indicates that one of the major challenges and opportunities of the field relies on developing smart sensor platforms, which are cheap, efficient, easy-to-use, and capable of minimizing tasks at the end user stage, in comparison to traditionally used methods which require bulky instrumentations and qualified personnel.

Stefano Cinti*


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Chemistry in Sustainability and Chemistry of Sustainability: Waste of use of Fishing Industry for Removal of Waste Textile Industry

One of the negative consequences related to socioeconomic development in recent centuries has been the rise of environmental contamination. In light of this, human has sought to implement actions in all spheres (social, economic and cultural) aiming to minimize the impact on the environment. Concern about the pollution of bodies of water and industrial wastewater treatment is the biggest worry in this regard. Among various treatment methods highlights the adsorption solid phase, by being very efficient and economically feasible. The use of chitosan as an adsorbent makes the process more ecologically interesting, once chitosan is also retrieved from waste. In this study we evaluate the adsorption process of the bromothymol blue dye by the chitosan. The parameters that influence the sorption process were studied (pH, ionic strength, adsorbent mass and dye initial concentration), and the process thermodynamics.

Francisco JE¹, Cajé JCM¹, Semaan FS¹, and Pacheco WF¹*


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Sorption Properties of Methyl Orange onto Chemically Modified Chitosan: Thermodynamics and Kinetics Studies

A new kind of sorbent with high adsorption capacity and stability was prepared using chitosan and epichlorohydrin through a cross-linking reaction and assessed by using methyl orange. The sorption capability was evaluated by means of kinetics and equilibrium studies. Relevant factors for such sorption process were also assessed. After optimization of the relevant sorption factors, the percentages for methyl orange removal by chitosan and by modified chitosan were 82%, and 67%, respectively. Although the cross-linked chitosan offered the lowest removal percentage, this sorbent presented other relevant advantages when compared to non-modified chitosan, such as higher chemical and thermal stabilities.

Juliana CM Caje, Paula Marcelle de Oliveira, Felipe S Semaan, Raphael C Cruz, Ricardo J. Cassella and Wagner F. Pacheco


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Quantitative Headspace Solid-Phase Microextraction Gas Chromatography Mass Spectrometry (HS-SPME-GC-MS/ MS) Method for the Determination of Tributyltin in Sediment: Validation according to EU Directive Requirement

The Directive 2013/39/EU has reviewed the list of priority substances under the European Water Framework Directive (WFD; Directive 2000/60/EC) and has strengthened the principle of flexibility for Member States in applying the Environmental Quality Standard (EQS) for alternative matrices. Coherently, it has established new EQS for biota and it has invited Member States to set EQS for more opportune matrices, able to advantage the monitoring strategy and offer the same level of protection, such as sediment. The present work developed a (HS)SPME-GC-MS/MS method for the analysis of Tributyltin (TBT) in sediment samples and, through an in depth validation process, it assessed the compliance with the technical specification required by the EU Directive 2009/90/EC for chemical status analysis under the scope of the WFD. The EQS established for TBT in sediment by the Italian Environmental Ministry was used as reference. The method fulfils the minimum performance criteria required by the EU Directive 2009/90/EC (Method Detection Limit (MDL) and Minimum Level Of Quantitation (ML), expressed as ng Sn g-1 d.w., were 0.2 and 0.5, respectively). More generally, the analytical figures of merit achieved, were satisfying for the target TBT concentration range (recovery: 90-111%, intermediate precision range: 6-12%).

Seta Noventa¹, Malgorzata Formalewicz¹, Jvan Barbaro², Claudia Gion¹, Federico Rampazzo¹, Massimo Gabellini³, Rossella Boscolo¹, and Daniela Berto¹*

 


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Method Development and Validation for the Determination of Pravastatin in Human Plasma by Lc-Ms/Ms

A simple, rapid, sensitive and selective liquid chromatography/tandem mass spectrometry (LC/MS/MS) method was developed and validated for the quantification of pravastatin in human plasma. Pravastatin-D3 was used as an internal standard. The analyte was extracted from human plasma samples by liquid-liquid extraction technique. Due to the presence of isobaric metabolites, 3α-iso-pravastatin and 6-epi-pravastatin, chromatographic conditions were optimized, with a C18 column by using a mixture of 0.1% acetic acid in water and acetonitrile/ methanol (43:57,v/v) as the mobile phase at a flow rate of 0.6 mL/min. The calibration curve obtained was linear (r2 ≥ 0.9900) over the concentration range of 0.500-500 ng/mL. Method validation was performed as per FDA guidelines and the results met the acceptance criteria. The method was suitable for supporting clinical studies.

Lian Chen, Paresh Joshi, Andrii Piatkivskyi, Kalem Aguilar, and Jenny Lin*


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Cramer Rao Lower Bound CRB Shape Detection Method

In this paper we investigate the problem of tracking a moving but non-vibrating cylindrical object and estimating its size and shape using an artificial lateral line system, an d determine the lower bound that the estimator can be reached. Based on a nonlinear analytical model for the moving object-induced flow field, a two-stage extended Kalman filter is proposed to estimate the location, velocity, size, and shapes of the object. Simulation results on tracking an ellipsoidal cross-section are presented to illustrate the approach.

Ahmad T Abdulsadda*


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Composition and Antioxidant Activity of Vitex agnus-castus L and Rosmarinus Officinalis L. Leaves Essential Oils Cultivated in Syria

Medicinal plants contain a wide variety of chemicals which have very important roles in numerous applications including medicinal and those related with industry. Essential oils represent valuable sources for natural antioxidants. The aim of our study was to evaluate the chemical composition and antioxidant activity of the essential oils extracted from leaves of Syrian Vitex agnus-castus L. and Rosmarinus officinalis L., where is both essential oils were extracted and analyzed by gas chromatography-mass spectrometry. The antioxidant activities of these essential oils were determined by three different test systems, scavenging effect on 2,2-diphenyl-1-picrylhydrazyl radical, total phenolic and flavonoids contents. The main constituents found in Vitex agnus-castus L. essential oil were 1,8-Cineole (19.34%) and Sabinene (12.50%), while the major constituents in Rosmarinus officinalis L. essential oil were 1,8-Cineole (28.03%) and α-Pinene (14.70%). The results showed that 2,2-diphenyl-1-picrylhydrazyl radical scavenging and total phenolic contents of Vitex agnus-castus L. essential oil were higher than Rosmarinus officinalis L. essential oil. Total flavonoids contents were not detected in both essential oils. The Vitex agnus-castus L. and Rosmarinus officinalis L. essential oils are sources of natural antioxidants. Therefore, further work is needed to identify the compound(s) responsible for the antioxidant activity of Vitex agnus-castus L. and Rosmarinus officinalis L. essential oils.

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A Study on Semi-Late Maize Hybrids for Resistance to Smut of Maize /Ustilago maydis/

The most efficient method of controlling diseases of economic importance in agricultural crops is breeding of resistant varieties. The objective of the study was to determine the extent of the attack of smut of maize /Ustilago maydis/ on 22 hybrids and 4 maize standards under conditions, conducive to the spread of the pathogen.

The study was conducted in the experimental fields of the Institute of Agriculture and Seed Science “Obraztsov Chiflik”, Ruse during the period 2012 - 2014. 26 germplasms of Preliminary Variety Trial N 2 (PVT) were included.

Ustilago maydis is a common disease in most parts of the world, where maize is grown. In all above-ground organs of the plant, tumors of smutty mass are formed. The pathogen attack leads to stunted growth of the host plant, reducing yield, and economic losses.

The analysis of data about the new hybrids of IASS “Obraztsov Chiflik” - Ruse showed that fifteen of them were resistant.

The resistance was the highest in the hybrids: St.20, Eks.12, Eks.10, Eks.23, Eks.16, Eks.2, Eks.3, Eks.4, Eks.6, Eks.9, Eks.13, Eks.17, Eks.19, Eks.20, 2 Eks.6. They may be used as sources of resistance. Susceptible were: Eks.15, Eks.11, Eks.8, Eks.24, Eks.1, Eks.5, St.7, Eks.14, Eks.18, Eks.22, Eks.25.

Iliana Ivanova, Lyubomir Ivanov, and Gergana Ivanova*