Food Control 59 (2016) 731e736
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Food Control
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Determination of aflatoxins in walnut sujuk and Turkish delight by HPLC-FLD method
* Ozgur Golge a, Fatma Hepsag a, Bulent Kabak b, a Ministry of Food, Agriculture and Livestock, General Directorate of Food and Control, Food Control Laboratory, Adana, Turkey b Hitit University, Faculty of Engineering, Department of Food Engineering, TR-19030 Corum, Turkey article info abstract
Article history: This study aims to assess the risk of aflatoxins (AFs) in traditional confectionery products (walnut sujuk Received 17 February 2015 and Turkish delight) of Turkey. A high performance liquid chromatography coupled with fluorescence Received in revised form detection (HPLC-FLD) method was used for the determination of AFs. Evaluation of the method showed 5 June 2015 good selectivity, linearity, recovery and precision. The limit of quantification (LOQ) ranged from 0.106 to Accepted 16 June 2015 0.374 mgkg 1. The expanded measurement uncertainty was less than 40% for all target analytes. The Available online 20 June 2015 validated method was successfully applied to the determination of AFs in 112 traditional confectionery products containing nuts (hazelnuts and walnuts). AFs were detected in 43.8% of walnuts and 60.9% of Keywords: Aflatoxins hazelnuts used as ingredients in walnut sujuk and Turkish delight and at levels ranging from 0.58 to m 1 e m 1 Walnut sujuk 15.2 gkg and 0.43 63.4 gkg , respectively. This means that AFs levels in walnut sujuk and Turkish 1 Turkish delight delight were up to levels of 6.1 and 9.5 mgkg , respectively. Six walnut samples and twenty-one hazelnut 1 Occurrence samples were above the EU maximum limits (MLs) of 2 and 5 mgkg for aflatoxin B1 (AFB1), respectively. Food safety © 2015 Elsevier Ltd. All rights reserved. HPLC-FLD
Chemical compounds studied in this article:
Aflatoxin B1 (PubChem CID: 14403) Aflatoxin B2 (PubChem CID: 2724360) Aflatoxin G1 (PubChem CID: 14421) Aflatoxin G2 (PubChem CID: 2724362)
1. Introduction geographic location and climatic factors, A. flavus is isolated more frequently than A. parasiticus in Turkish hazelnuts (Ozay, Seyhan, Aflatoxins (AFs) are the most toxic group of mycotoxins pro- Pembeci, Saklar, & Yılmaz, 2008). duced by some species of Aspergillus (A. flavus, A. parasiticus and the AFB1 and the mixtures of AFs are human carcinogens (IARC, rare A. nomius), a fungus that is especially found in areas with hot 1993), which possess several toxic effects in human and animal and humid climates (Sweeney & Dobson, 1998). While several health including mutagenic, teratogenic and immunosuppressive types of AFs are produced in nature, the four main naturally pro- activity (Eaton & Gallagher, 1994). Epidemiological studies showed duced AFs are known as aflatoxin B1 (AFB1), aflatoxin B2 (AFB2), that a good correlation between AFs intake and human liver cancer aflatoxin G1 (AFG1) and aflatoxin G2 (AFG2). A. flavus is more in African countries and Thailand (Pitt, 2000; Probst, Njapau, & adapted to the aerial parts of plants (leaves, flowers, and fruit) and Cotty, 2007). produces only B AFs, while A. parasiticus is well adapted to a soil AFs can occur in agricultural products, such as groundnuts, tree environment and produces both B and G AFs (EFSA, 2004). nuts, maize, rice, figs and other dried fruits, spices and cocoa beans, Although incidence of the aflatoxigenic species varies with the as a result of Aspergillus section Flavi contamination before and after harvest (EFSA, 2004). In addition to these raw materials, AFs may be present in processed traditional confectionery products
Abbreviations: AFB1,aflatoxin B1; AFB2,aflatoxin B2; AFG1,aflatoxin G1; AFG2, containing nuts. Many different types of traditional confectionery fl fl a atoxin G2;AFS,a atoxins; HPLC-FLD, high performance liquid chromatography- products are produced in Turkey. These include baklava, which is a fluorescence detector; IAC, immunoaffinity column; LOD, limit of detection; LOQ, fi fi fi fi nely layered lo pastry deep fried lled with pistachios or walnuts limit of quanti cation; RSD, relative standard deviation; ML, maximum limit. & * Corresponding author. and steeped in syrup (Senyuva, Cimen, Gilbert, 2009); helva, E-mail address: [email protected] (B. Kabak). which is prepared by mixing tahin (sesame paste) with sugar, citric http://dx.doi.org/10.1016/j.foodcont.2015.06.035 0956-7135/© 2015 Elsevier Ltd. All rights reserved. 732 O. Golge et al. / Food Control 59 (2016) 731e736 or tartaric acid, Saponaria officinalis root extract and flavouring 2.3. Samples agents such as cacao and/or pistachios (Var, Kabak, & Gok,€ 2007); and Turkish desserts, containing pistachios, hazelnuts or walnuts, In total, 112 traditional confectionery samples (48 walnut sujuk such as Turkish delight (lokum), walnut sujuk (also known as and 64 Turkish delight) were randomly taken from retail shops, churchkhela in Georgia), cezerye, pestil and pis¸ maniye. supermarkets and traders in the cities of Adana, Mersin and Turkish delight is a jelly-like confection made from starch and Osmaniye of Turkey. Approximately 2 kg of samples was collected sugar and flavoured with rosewater, lemon or some other fruit during the period from February 2013 to September 2014. Walnut extraction and/or nuts (Batu & Kirmaci, 2009). Walnut sujuk is a sujuk samples included the following major ingredients: grape traditional sausage-shaped candy made from grape molasses and molasses and walnuts. The walnuts contents in the walnut sujuk walnuts. Where most of these products are made locally either by samples ranged from 35 to 40%. Turkish delight included starch, family-run business and/or small-scale industries, there is less sugar and hazelnuts. The hazelnuts contents in the Turkish delight control over the quality of the raw material than there might be for samples varied from 10 to 15%. Due to the low risk of AFs in other export, and risks are, therefore AFs-contaminated ingredients major ingredients, only walnuts and hazelnuts were picked from might be used (Senyuva et al., 2009). Even though raw ingredients walnut sujuk and Turkish delight samples, respectively, and sub- contaminated with mycotoxins would effectively be diluted when jected to AFs analysis. The whole walnuts and hazelnuts were incorporated into multicomponent recipes, European Union regu- separated from the confectionery products picked by stainless steel lations clearly state that limits apply to individual ingredients, tweezers. The samples of walnuts and hazelnuts were ground with rather than finished products being in compliance (European Waring blender with a 1-L container (Waring Products Co., Con- Commission, 2006a). necticut, USA) to obtain a fine and homogenised powder prior to Apart from severe health issues associated with aflatoxin the extraction and clean-up step. exposure, economic losses and trade barriers pose another impor- tant problem in affected countries. In order to protect public health, 2.4. Extraction and clean-up maximum limits (MLs) for mycotoxins and other certain contami- nants in foodstuffs have been established in European Union and The AOAC Official Method 999.31 (Truckess et al., 1991)was various government agencies. The European Commission has set used to detect AFs in walnut and hazelnut samples. A portion of 1 1 MLs of 5 mgkg for AFB1 and 10 mgkg for the sum of AFB1, AFB2, 25 g finely ground representative sample was blended with 125 ml AFG1 and AFG2 in hazelnuts and Brazil nuts, intended for direct methanol-water (87.5:37.5, v/v) and 5 g NaCl using a Waring human consumption or use as an ingredient in foodstuffs. However, blender at high speed for 2 min, and filtered using a prefolded filter 1 the ML of 2 and 4 mgkg for AFB1 and total AFs, respectively, for paper. An aliquot of 15 ml filtrate was diluted with 30 ml water, tree nuts such as walnuts and processed products have been set by shaken vigorously and filtered through glass microfiber filter. Next, ® European Commission (European Commission, 2010). a 15 ml of diluted filtrate was passed through an AflaTest attached The aim of this study is therefore to determine occurrence and onto a vacuum manifold at a flow rate of about 2e3 ml per min. The levels of AFs in walnuts and hazelnuts separated from walnut sujuk column was washed twice with 10 ml of ultrapure water and dried and T. delight, respectively, using a sensitive high performance with air. AFs bound to the specific antibody were eluted by passing liquid chromatography-fluorescence detector (HPLC-FLD) method 1 ml methanol through the column and collected in HPLC vials. The after post-column derivatisation. Results were compared with the eluate was then diluted with 1 ml of ultrapure water. The samples MLs established by European Commission and the available maintained at 4e8 C until HPLC analysis. literature. 2.5. HPLC-FLD analysis 2. Materials and methods The HPLC system consisted of an Agilent 1100 series (Agilent 2.1. Reagents and chemicals Technologies, Palo Alto, California) apparatus (a G1310A isocratic pump, a G1379A degasser, a G1313A autosampler and a G1316A Acetonitrile and methanol were HPLC-grade and were both column oven) coupled to a G1321A model fluorescence detector. purchased from SigmaeAldrich (St. Louis, MO, USA). Sodium Chemstation 3 D software was used to control the system and the chloride (NaCl), nitric acid and potassium bromide (KBr) were process signals. Chromatographic separations of AFs were per- supplied by Merck (Darmstadt, Germany). Immunoaffinity columns formed at 25 C on a silica 5 mm ACE 5 C18, 100 Å, 25 4.6 mm ® (IACs) AflaTest (product code: 12022) were supplied by Vicam column supplied by Advanced Chromatography Technologies (Watertown, MA, USA). GF/A glass microfiber filters (125 mm) were (Aderden, Scotland). Post-column derivatisation was carried out from Whatman International (Kent, UK). Ultrapure water of 18.2 U with electrochemically generated bromine in Cobra cell (Coring resistivity was produced on a Milli Q purification system (Millipore, System Diagnostics GmbH, Gernsheim, Germany) using a reaction Molsheim, France). tube of 340 0.5 mm i.d. PTFE to enhance the fluorescence in- tensity of AFB1 and AFG1. Aliquots of 100 ml of sample extract or 2.2. Standards standards were injected into the column. The AFs analysis was performed with an isocratic elution mode The mixed standards of AFB1, AFB2, AFG1 and AFG2 were ob- using a mixture of watereacetonitrileemethanol (6/2/3, v/v/v) tained from R-Biopharm Rhone (Glasgow, Scotland) (Afla standard containing potassium bromide (120 mg l 1) and nitric acid Solution, Cat No. P22). The mixture in each bottle consists of 0.25 mg (350 mll 1)ataflow rate of 1 ml min 1 (run time of 13 min). The AFB1, 0.25 mg AFB2, 0.25 mg AFG1 and 0.25 mg AFG2 in one ml of fluorescence detector was set to an excitation and emission methanol. From this standard solution, stock solution of AFs wavelengths of 360 and 430 nm, respectively. mixture, containing 0.1 mgml 1 of each aflatoxin was prepared in methanol. This intermediate solution was further diluted to get 2.6. Method validation 1 several calibration solutions (0.25e4ngml for AFB1 and AFG1, 1 0.075e1.2 ng ml for AFB2 and AFG2) in LC mobile phase consisting The analytical method was validated in-house for the determi- of water-acetonitrile-methanol (6/2/3, v/v/v). nation of each AFs in finely ground hazelnuts in terms of selectivity, O. Golge et al. / Food Control 59 (2016) 731e736 733 linearity, limit of detection (LOD), limit of quantification (LOQ), 3. Results and discussion recovery, accuracy (trueness and precision) and uncertainty. The selectivity of the method was tested through the analysis of non- 3.1. Validation results 1 fortified and fortified samples at levels of 0.5 mgkg for AFB1, AFB2, AFG1 and AFG2. To assess linearity, calibration curves were The results of validation study are summarised in Table 1. The constructed by using the peak area of analytes at five different use of IACs for clean-up, a very selective fluorescence detector and 1 concentrations ranging from 0.25 to 4 mgkg for AFB1 and AFG1, post-column derivatisation facilitates the correct identification of 1 and from 0.075 to 1.2 mgkg for AFB2 and AFG2 versus the cor- the each analytes and leads to a further improvement of selectivity responding concentrations in the LC mobile phase. The linearity of the method. No interfering peaks were observed at the retention was determined by linear regression analysis and coefficient of times of analytes when the blank samples were analysed. The determination (R2) value of >0.99 for each AFs was acceptable. retention times of each analytes in the sample were below 2.5% of The LODs and LOQs of the method were determined according retention time in the calibration standards. The retention times to EURACHEM Guide based on data of recovery experiment were 10.2, 8.7, 7.7 and 6.7 min for AFB1, AFB2, AFG1 and AFG2, (EURACHEM, 1998). Blank samples were spiked with 0.5 mgkg 1 for respectively. 1 AFB1 and AFG1 and 0.15 mgkg for AFB2 and AFG2, and measured in All analytes showed good linearity in the concentration range of 1 1 40 independent replicates. The LOD and LOQ were calculated using 0.25e4 mgkg for AFB1 and AFG1, and 0.075e1.2 mgkg for AFB2 2 the following relations: and AFG2, with R greater than 0.999. The LODs and LOQs of the analytical method were based on results of 40 replicates in fortified ¼ ; samples. The method LODs were ranged from 0.032 to LOD 3 SD 0.112 mgkg 1, while LOQs were in the range 0.106e0.374 mgkg 1. The method LOQs of AFB1 were well below the EU MLs of 5 and LOQ ¼ 10 SD; 2 mgkg 1 for hazelnuts and walnuts, respectively. The recovery values were within 71e107%, which could meet where “SD” is the sample standard deviation. the requirements of the Commission Regulation (EC) No 401/2006 To study the trueness and precision of the method, sample (European Commission, 2006b) for these analytes that states re- matrices were fortified with AFs standards at a low level covery values of 50e120% at concentration range of <1 mgkg 1 and 1 1 1 (0.5 mgkg for AFB1 and AFG1 and 0.15 mgkg for AFB2 and AFG2) 70e110% for 1e10 mgkg . The RSD values in the repeatability 1 1 and a high level (5 mgkg for AFB1 and AFG1 and 1.5 mgkg for conditions were in the range of 2.05e19.7%, whereas the repro- AFB2 and AFG2). The fortified samples were allowed to stand an ducibility conditions were 2.87e19.9% for all analytes. These values overnight for the adsorption of AFs onto the samples. The fortified are well below those calculating using the Horwitz equation, which representative samples (n ¼ 68) were extracted according to indicating good precision. The bias were ranged between 0.55 and method protocol previously described. The recovery was calculated 13.5% for AFB1, 10 and 7.66% for AFB2, 12.7 and 8.43% for AFG1, by the ratio of concentration measured versus the concentration and 22.5 and 29% for AFG2. spiked in blank materials. The trueness, in terms of bias (a mea- The expanded measurement uncertainties calculated at two 1 surement of systematic error) was calculated according to the different concentrations, 0.5 and 5 mgkg for AFB1 and AFG1, and 1 following equation: 0.15 and 1.5 mgkg for AFB2 and AFG2, were not higher than 37% for all compounds.
X Xt Biasð%Þ¼ 100% 3.2. Analysis of real samples Xt where “X” is the mean of test results and “Xt” is true value given for A summary of the AFs concentrations data is given in Table 2. fortified sample. AFs were present in 43.8% of walnuts (21 out of 48) used as an e m 1 The repeatability (RSDr) of the method was calculated as relative ingredient in walnut sujuk in the range of 0.58 15.2 gkg , with a m 1 standard deviation (RSD) (n ¼ 8) of replicate measurements at each mean level of 2.97 gkg . AFB1, the most toxic mycotoxin, was fortification level. To evaluate within-laboratory reproducibility detected in all aflatoxin-positive samples up to levels of m 1 (RSDR), two different analysts performed the recovery experiment 11.8 gkg . AFB2 was the next abundant mycotoxin (33.3%) with 1 with six replicates during the 10 consecutive days (n ¼ 60). values ranging between 0.2 and 3.34 mgkg . G-type AFs were The evaluation of uncertainty of analytical results is compulsory detected less frequently: two walnut samples were contaminated m 1 for laboratories accredited according to ISO/IEC17025 (ISO, 2005). with AFG1 at levels of 0.82 and 1.84 gkg , and one walnut sample m 1 Four sources of uncertainty were taken into account: purity of the contained AFG2 at a level of 0.31 gkg . ð Þ Incidence and levels of AFs were higher in hazelnuts than wal- standards (u Cref ), calibration curve (uM), mean recovery (uR) and within-laboratory reproducibility (uðRwÞ). The combined uncer- nuts. AFs occurred more than 60% of hazelnuts used as an ingre- m 1 tainty (uc ) was calculated as follows: dient in Turkish delights at levels ranging up to 63.4 gkg for aflatoxin total. All positive samples contained AFB1 at levels ranging rffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi m 1 from 0.43 to 55.9 gkg , while AFB2 was simultaneously detected 2 2 2 2 in almost half (48.4%) of the hazelnuts ranging between 0.29 and uc ¼ u C þ u þ u þ uðRwÞ ref M R 1 10.4 mgkg . AFG1 was found in only one hazelnut sample, with the m 1 An estimate of the expanded measurement uncertainty, U, cor- concentration of 1.86 gkg , whereas no AFG2 was detected responding to an approximate level of confidence of 95% was (>LOQ) in any of the hazelnut samples. calculated by multiplying the combined uncertainty by a coverage The amounts of walnuts and hazelnuts as ingredients in the factor (k)of2. walnut sujuk and Turkish delight varied from 35 to 40%, and 10e15%, respectively. This means that AFs levels in walnut sujuk and Turkish delight were up to levels of 6.1 and 9.5 mgkg 1, respectively. Eu- U ¼ 2 xuc ropean Commission Regulation 165/2010 regulates the MLs for AFs in foodstuffs: “Products containing contaminants exceeding the 734 O. Golge et al. / Food Control 59 (2016) 731e736
Table 1 Method validation data.