跳转至内容
Merck
CN
HomeQuEChERS Sample Preparation MethodAnalysis of Pesticide Residues in Pistachios Using QuEChERS Extraction and Cleanup with Supel™ QuE Z-Sep+

Analysis of Pesticide Residues in Pistachios Using QuEChERS Extraction and Cleanup with Supel™ QuE Z-Sep+

Kathy Stenerson, Megan Wesley

Article from Analytix Reporter - Issue 7

Introduction

Pistachios are popular and enjoyed for both taste and health benefits such as decreased cholesterol, weight management, protection against diabetes and hypertension, and improved digestion.1 These nuts are grown in the United States (specifically, California), Italy, and countries in Central Asia like Iran, Turkey, Afghanistan and Syria. Pesticide tolerances set by the US EPA for pistachios range from 0.01 - 0.7 μg/g before harvest to 3 - 200 μg/g after harvest, depending on the pesticide.2 Testing for pesticide residues then requires a method which will allow for low level and accurate determination. The "quick, easy, cheap, effective, rugged and safe" (QuEChERS) approach has been used to analyze multiple pesticide residues found in pistachios.3

A bowl of pistachios.

Pistachios contain approximately 45% fat, which can result in a significant amount of co- extracted matrix in the acetonitrile extract generated using the QuEChERS procedure. The use of a cleanup sorbent which can reduce this fat is essential to prevent fouling of LC-MS/MS and GC-MS/MS systems, and minimize ion suppression, thus allowing low level detection. In this application, Supel™ QuE Z-Sep+ sorbent was used as part of the QuEChERS method in the analysis of pesticide residues in pistachios. Z-Sep+ is a zirconia and C18 functionalized silica sorbent which acts to retain fatty constituents through both Lewis acid/base and hydrophobic interactions. The selectivity of the zirconia present in Z-Sep+ offers retention of a wider range of fats than C18 alone. In this application, QuEChERS extraction and cleanup using Z-Sep+ sorbent were used before the LC-MS/MS and GC-MS/ MS analysis of pesticide residues in pistachios. The targeted analyte list included pesticides relevant to pistachios.4,5

Experimental

Pistachios were purchased from a local grocery store. They were frozen with liquid nitrogen (shells on), ground, and spiked at 10 ng/g with the pesticides listed in Tables 3 and 5, and allowed to equilibrate for 1 hour. Samples were then subjected to QuEChERS extraction and cleanup with Z-Sep+ following the procedure in Table 1. A 100 μL aliquot of the final extract was diluted to 1 mL with 5 mM ammonium formate/0.1% formic acid in water, and analyzed by LC-MS/MS using the conditions shown in Table 2.

The remaining acetonitrile extract was analyzed directly by GC-MS/MS using the conditions shown in Table 4. Spiked samples were quantitated against 5-point matrix-matched calibration curves prepared in unspiked pistachio matrix blanks (after cleanup). No internal standard was used.

Table 1.QuEChERS Extraction and Cleanup Procedure Used for Pistachios
Table 2.LC-MS/MS analysis conditions
Table 3.MRMs used for quantitation, LC-MS/MS
Table 4.GC-MS/MS analysis conditions
Table 5.MRMs Used for quantitation by GC-MS/MS

Results and discussion

Background

Initially, cleanup using Z-Sep+ sorbent was compared to PSA/C18, a common QuEChERS cleanup sorbent for fat-rich samples. A visual comparison of the QuEChERS extracts (in acetonitrile) is shown in Figure 1. Both cleanups removed some green color, resulting in similar light yellow extracts. GC-MS-scan comparisons (Figure 2) show lower background after Z-Sep+ cleanup compared to PSA/C18. The predominant peaks present in the uncleaned extract are fatty acids and monoglycerides. While PSA/C18 only reduced the levels of these compounds, almost none were detected after Z-Sep+ cleanup.

Pesticide Recovery

Table 6 shows the average %Recovery and %RSD for n=3 replicates of spiked pistachio samples. The majority of the pesticides were analyzed by LC-MS/MS; and those without sufficient response were analyzed by GC-MS/MS. Out of the 30 pesticides analyzed, 22 had recoveries within the generally accepted range of 70-120 %. Reproducibility was good, with RSD values < 20% for all 30 pesticides, and < 10% for many. Two pesticides, etoxazole and trichlorfon, had recoveries < 50%. Trichlorfon was most likely retained by the Z-Sep+ sorbent during the cleanup step. This could be due to the Lewis base character of the phosphate group present in its structure. Etoxazole, on the other hand, does not contain a phosphate group. It is a very lipophilic pesticide, indicated by its log P value of 5.6. Extraction efficiency of this compound from the fatty pistachio matrix was probably very poor using acetonitrile. Spinetoram, with a log P of 6.3, also showed lower recovery (56%) than a majority of the pesticides studied. This trend of decreased recovery for high log P pesticides has been observed by others for high fat matrices.6 Recovery of both of these compounds may be increased by addition of a less polar solvent such as ethyl acetate for the extraction; however, an increase in the level of co-extracted background can be expected.

Bottles of pistachio extracts before and after cleanup. The first vial is labeled ‘No cleanup,’ the second ‘PSA/C18,’ and the third ‘Z-Sep+.’

Figure 1.Comparison of Pistachio Extracts; Before and After Cleanup.

Graphs of GC-MS-Scan Comparison of Pistachio Extracts With (a) No Cleanup, (b) PSA/C18 Cleanup, and (c) Z-Sep+ Cleanup; All the Same Y-scale.

Figure 2.GC-MS-Scan Comparison of Pistachio Extracts With (a) No Cleanup, (b) PSA/C18 Cleanup, and (c) Z-Sep+ Cleanup; All the Same Y-scale.

Table 6.Pesticide recoveries from pistachios Using Z-Sep+ cleanup, spike level of 10 ng/g

Conclusions

Pistachios, which contain 45% fat, present a challenging matrix when doing pesticide residue analysis. If using QuEChERS extraction, some fat will be co-extracted with the analytes of interest. Thus, the cleanup step must be able to reduce this background. In this application, the use of Supel™ QuE Z-Sep+ was demonstrated for the effective cleanup of these extracts prior to LC-MS/MS and GC-MS/MS analysis. Fatty acid and monoglyceride background were significantly reduced using Z-Sep+, and compared to PSA/C18 cleanup, the resulting extract had lower background; as evidenced by GC-MS-scan data.

Pesticide recovery was within the acceptable range of 70-120% for 22 out of 30 targeted pesticides, with excellent reproducibility demonstrated for spiked replicates.

Find more applications to Food & Beverage Testing.

Related Products
Loading

References

1.
Hernández-Alonso P, Bulló M, Salas-Salvadó J. 2016. Pistachios for Health. Nutr Today. 51(3):133-138. https://doi.org/10.1097/nt.0000000000000160
2.
2012. Index to Pesticide Chemical Names, Part 180 Tolerance Information, and Food and Feed Commodities (by Commodity). [Internet]. US Environmental Protection Agency Office of Pesticide Programs, U.S. Government Publishing Office: Washington, DC: Available from: https://www.epa.gov/pesticide-tolerances/tolerances-commodity-crop-group-or-crop-subgroup-index
3.
Emami A, Rastegar H, Amirahmadi M, Shoeibi S, Mousavi Z. 2015. Multi-Residue analysis of pesticides in pistachio using gas chromatography-mass sSpectrometry (GC/MS). Iranian J. of Tox. 8(27):1174-1181.
4.
May 2016. California Pistachio Research Board.. [Internet]. Available from: https://calpistachioresearch.org/
5.
May 2016. PAN Pesticide Database. [Internet]. Pesticide use in California, Pesticide Use on Pistachios 2012: Available from: http://www.pesticideinfo.org
6.
Rajski Ł, Lozano A, Uclés A, Ferrer C, Fernández-Alba AR. 2013. Determination of pesticide residues in high oil vegetal commodities by using various multi-residue methods and clean-ups followed by liquid chromatography tandem mass spectrometry. Journal of Chromatography A. 1304109-120. https://doi.org/10.1016/j.chroma.2013.06.070
登录以继续。

如要继续阅读,请登录或创建帐户。

暂无帐户?