Multi-residue analysis of pesticides in crude food extracts using a simple extraction technique and LC/MS/MS

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PO-CON1529E Multi-residue analysis of pesticides in crude food extracts using a simple extraction technique and LC/MS/MS ASMS 215 WP 77 Miho Kawashima 1, Yuka Fujito 2, Yayoi Ichiki 3, Miho Sakai 4, Takashi Ando 4, Kiyomi Arakawa 2, Yoshihiro Hayakawa 2 1 Shimadzu Corporation, Tokyo, JAPAN, 2 Shimadzu Corporation Kyoto, JAPAN, 3 Miyazaki Enterprise Promotion Organization, Miyazaki, JAPAN, 4 Miyazaki Agricultural Research Institute, Miyazaki, JAPAN

Introduction Analysis of pesticide residues in food is typically tedious and time-consuming due to the necessary extraction and clean up procedures. Furthermore, to deal with the ever-growing number of pesticides, the food safety laboratories need to ideally screen as many compounds as possible in a single run which may reach maximum residual limits (MRL); typically 1 ppb in food matrices. In this study, we illustrate the results utilizing an UF MRM capability (just 5 msec. MRM measurement includes dwell and pause time) with 5 msec. polarity switching (UF switching) for the analysis of 146 pesticides in crude food extracts by using easy and simple sample preparation technique. Methods & Materials Sample preparation Food samples were purchased from a local grocery store in. Each sample, with dry ice, was finely ground by milling until it became a powder and then extracted with acetonitrile. After filtration, the sample extracts were directly injected 1 μl to LC/MS/MS. This sample preparation technique is much easier and simpler than QuEChERS. Sample Soybeans Cucumber Origin 1. Homogenizing 1 g of each sample with dry ice 2. Weighing 1 g and adding 4mL of acetonitrile 3. Ultrasonic Extraction 4. Filtration Without dry ice With dry ice 5. LC/MS/MS measurement Figure 1 Protocol of sample preparation 2

High Speed Mass Spectrometer Ultra Fast Scanning - 3, u / sec. Ultra Fast Polarity Switching - 5 msec. Ultra Fast MRM - Max. 555 transitions /sec Figure 2 LCMS-8 triple quadrupole mass spectrometer LC/MS/MS analysis HPLC conditions ( Nexera UHPLC system) Column : Shim-pack XR-ODSII (75 mm x 2 mm I.D., 2.2 um) Mobile phase : A 5 mm ammonium acetate - water B 5 mm ammonium acetate - methanol Gradient program : 1% B (min) 4% (1-2min.) 95% (1-15min.) 1% (15.1-2min.) Flow rate :.2 ml / min. Column temperature : 4 C MS conditions (LCMS-8) Ionization MRM : ESI (Positive / Negative) : Max MRMs simultaneously monitored: 72ch. (36 event) Max loop time:.442 sec Dwell time 5 msec. / Pause time 1 msec. Result Pesticide standards 146 compounds were analyzed in a single run by just 5 msec. MRM event with 5 msec. polarity switching. All studied compounds have shown excellent LOQs and linearity of calibration curves ranging from.1-1 μg/l. 3

Methomyl Chlothianidin Imidacloprid 2,4-D Cyclanilide Lufenuron 7.5 5. 2.5 (x1,) 2.5 3. 3. 3.9 3. 3.8 5. 5.8 6. 7. 1 1.75 4. 3. 5. Area (x1,).25 2.5 Conc. Conc. Conc. Conc. Conc. Conc. Figure 3 MRM chromatograms and calibration curves of typical pesticides (left: positive / right : negative) 6 A number of compounds 4 3 2 1 (a) 5 ug/l.1ug/l ug/l 1ug/L 5ug/L 1ug/L 4 3 2 1 (b) -5% 6-1% 11-2% 21%< Figure 4 (a) : LOQs of all tested compounds (b) : CV of all tested compounds at 1 μg/l (n=5) Matrix effect The matrix samples spiked with 1 μg/l standards were prepared for the recovery test in all matrices. More than 8% of target compounds have shown good recoveries ranging from 7-12% in all matrices, neither ion suppression nor enhancement was observed. 4

2 Soybeans 2 1 1 1 1 Compounds: elution order 2 2 Cucumber 1 1 1 1 Figure 5 Recoveries of all target compounds in each matrix Extraction efficiency Extraction efficiency was determined from ratios of peak area of pre-extraction / post-extraction spiked sample (1 μg/kg). Almost all compounds have shown the good recoveries in high water content foods such as spinach and cucumber. However, in low water content foods like brown rice and soybeans, especially, high polar compounds showed poor recovery. To improve this, 9 ml of water is added to the homogenized sample before acetonitrile extraction. As a result, recoveries of these compounds were dramatically improved. Foods Soybeans Cucumber Water content 13 15 92 95 5

1 without water 1 without water with water 1 1 Figure 6 Recoveries in each matrix Comparison between LCMS-8 & LCMS-86 Sensitivity (x1,,) (x1,,) 1.3 1.2 1.1.9.8.7.6.4.3.2.1 8 1.1 86 1.3 1.2 (x1,).9 7.5.8.7 5..6.4 2.5.3.2.1 Clofentezine(+) Sx4.2 9.5 1 1 2.5 5. 7.5 1 12.5 min 2.5 5. 7.5 1 12.5 min (x1,) Sx3.3 Triclopyr(-) 86 8 5.5 6. 6.5 Figure 7 MRM chromatograms in LCMS-8 and LCMS-86 The sensitivity of pesticides was compared between LCMS-8 and 86 under the same analytical conditions. In LCMS-86, signal response was improved average about 3 times higher than LCMS-8, and lower LOQs were achieved. The increased sensitivity of the LCMS-86 enables the accurate quantitation below MRLs even in high degree of dilution in the matrix. 6

A number of the compounds 4 3 2 1 8 86 5 ug/l.1ug/l ug/l 1ug/L 5ug/L Figure 8 LOQs of the compounds Matrix effect The matrix effect was also compared between LCMS-8 and 86. As a result, there is no difference of the recoveries between two instruments. 2 1 86 8 1 Figure 9 Recoveries of pesticides in soybeans Figure 1 LCMS-86 Conclusions This method is able to be applied to the quantification of pesticides in complex food matrices. The increased sensitivity of the LCMS-86 enables the accurate quantitation below MRLs even in high degree of dilution. First Edition: May, 215 www.shimadzu.com/an/ For Research Use Only. Not for use in diagnostic procedures. The content of this publication shall not be reproduced, altered or sold for any commercial purpose without the written approval of Shimadzu. The information contained herein is provided to you "as is" without warranty of any kind including without limitation warranties as to its accuracy or completeness. Shimadzu does not assume any responsibility or liability for any damage, whether direct or indirect, relating to the use of this publication. This publication is based upon the information available to Shimadzu on or before the date of publication, and subject to change without notice. Shimadzu Corporation, 215