Validation of a Simple and Reliable Method for the Determination of Aflatoxins in Soil and Food Matrices

• Published in: ACS omega Vol. 6; no. 29; pp. 18684 - 18693
• Main Authors: Albert, Julius, More, Camilla A, Dahlke, Niklaus R. P, Steinmetz, Zacharias, Schaumann, Gabriele E, Muñoz, Katherine
• Format: Journal Article
• Language: English
• Published: American Chemical Society 27.07.2021
• ISSN: 2470-1343; 2470-1343
• DOI: 10.1021/acsomega.1c01451

Aflatoxins (AFs) are toxic fungal secondary metabolites that are commonly detected in food commodities. Currently, there is a lack of generic methods capable of determining AFs both at postharvest stages in agricultural products and preharvest stages, namely, the agricultural soil. Here, we present a simple and reliable method for quantitative analysis of AFs in soil and food matrices at environmentally relevant concentrations for the first time, using the same extraction procedure and chromatography, either by HPLC-FLD or LC–MS. AFs were extracted from matrices by ultrasonication using an acetonitrile/water mixture (84:16, v + v) without extensive and time-consuming cleanup procedures. Food extracts were defatted with n-hexane. Matrix effects in terms of signal suppression/enhancement (SSE) for HPLC-FLD were within ±20% for all matrices tested. For LC–MS, the SSE values were mostly within ±20% for soil matrices but outside ±20% for all food matrices. The sensitivity of the method allowed quantitative analysis even at trace levels with quantification limits (LOQs) between 0.04 and 0.23 μg kg–1 for HPLC-FLD and 0.06–0.23 μg kg–1 for LC–MS. The recoveries ranged from 64 to 92, 74 to 101, and 78 to 103% for fortification levels of 0.5, 5, and 20 μg kg–1, respectively, with repeatability values of 2–18%. The validation results are in accordance with the quality criteria and limits for mycotoxins set by the European Commission, thus confirming a satisfactory performance of the analytical method. Although reliable analysis is possible with both instruments, the HPLC-FLD method may be more suitable for routine analysis because it does not require consideration of the matrix.