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Dive into the research topics where Andrew B. Slate is active.

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Featured researches published by Andrew B. Slate.


Journal of Agricultural and Food Chemistry | 2012

Effect of processing on recovery and variability associated with immunochemical analytical methods for multiple allergens in a single matrix: dark chocolate.

Sefat E. Khuda; Andrew B. Slate; Marion Pereira; Fadwa Al-Taher; Lauren S. Jackson; Carmen Diaz-Amigo; Elmer C. Bigley; T. B. Whitaker; Kristina M. Williams

Among the major food allergies, peanut, egg, and milk are the most common. The immunochemical detection of food allergens depends on various factors, such as the food matrix and processing method, which can affect allergen conformation and extractability. This study aimed to (1) develop matrix-specific incurred reference materials for allergen testing, (2) determine whether multiple allergens in the same model food can be simultaneously detected, and (3) establish the effect of processing on reference material stability and allergen detection. Defatted peanut flour, whole egg powder, and spray-dried milk were added to cookie dough at seven incurred levels before baking. Allergens were measured using five commercial enzyme-linked immunosorbent assay (ELISA) kits. All kits showed decreased recovery of all allergens after baking. Analytical coefficients of variation for most kits increased with baking time, but decreased with incurred allergen level. Thus, food processing negatively affects the recovery and variability of peanut, egg, and milk detection in a sugar cookie matrix when using immunochemical methods.


Journal of Agricultural and Food Chemistry | 2009

Sampling and Analytical Variability Associated with the Determination of Total Aflatoxins and Ochratoxin A in Powdered Ginger Sold As a Dietary Supplement in Capsules

Mary W. Trucksess; T. B. Whitaker; Carol M. Weaver; Andrew B. Slate; Francis G. Giesbrecht; Jeanne I. Rader; Joseph M. Betz

The U.S. Food and Drug Administration is studying the need to monitor dietary supplements for mycotoxins such as total aflatoxins and ochratoxin A. An effective mycotoxin-monitoring program requires knowledge of the sampling and analytical variability associated with the determination of total aflatoxins (AF) and ochratoxin A (OTA) in dietary supplements. Three lots of ginger sold as a powder in capsule form and packaged in individual bottles were analyzed for both AF and OTA. The total variability associated with measuring AF and OTA in powdered ginger was partitioned into bottle-to-bottle, within bottle, and analytical variances. The variances were estimated using a nested design. For AF and OTA, the within-bottle variance associated with the 5 g laboratory sample size was the largest component of variability accounting for about 43% and 85% of the total variance, respectively; the analytical variance accounted for about 34% and 9% of the total variability, respectively; and the bottle-to-bottle variance accounted for about 23% and 7% of the total variance, respectively. When the total variance is converted into the coefficient of variation (CV or standard deviation relative to the mean concentration), the CV is lower for AF (16.9%) than OTA (24.7%).


Analytical and Bioanalytical Chemistry | 2009

Sampling and analytical variability associated with the determination of aflatoxins and ochratoxin A in bulk lots of powdered ginger marketed in 1-lb bags

T. B. Whitaker; Mary W. Trucksess; Carol M. Weaver; Andrew B. Slate

Ginger has been used as a food, dietary supplement, and condiment for centuries. Mycotoxins such as the aflatoxins (AF) and ochratoxin A (OTA) have been reported in ginger roots in several studies. It is important to design effective sampling methods that will accurately and precisely predict the true mycotoxin level in a bulk lot. The objective of this study was to measure the sampling and analytical variability associated with the test procedure used to measure AF and OTA in a bulk lot of powdered ginger using a 5-g laboratory sample and HPLC analytical methods. Twelve 5-g laboratory samples were taken from each of two lots. Duplicate aliquots were removed from each 5-g laboratory sample/solvent blend, and each aliquot was simultaneously analyzed for AF and OTA by HPLC analytical methods. Using a balanced nested design, the total variance associated with the above AF and OTA test procedures was partitioned into sampling and analytical variance components for each lot. Averaged across both lots, the sampling and analytical variances accounted for 87% and 13% of the total variance, respectively, for AF and 97% and 3%, respectively, for OTA. The sampling and analytical coefficients of variation were 9.5% and 3.6%, respectively, for AF, and 16.6% and 2.9%, respectively, for OTA when using a single 5-g laboratory sample and HPLC analytical methods. Equations are derived to show the effect of increasing laboratory sample size and/or number of aliquots on reducing the variability of the test procedures used to estimate OTA and AF in powdered ginger.


Journal of Agricultural and Food Chemistry | 2010

Effect of Sample Size in the Evaluation of “In-Field” Sampling Plans for Aflatoxin B1 Determination in Corn

Carlo Brera; Barbara De Santis; Elisabetta Prantera; Francesca Debegnach; Elena Pannunzi; Floriana Fasano; C. Berdini; Andrew B. Slate; Marina Miraglia; T. B. Whitaker

Use of proper sampling methods throughout the agri-food chain is crucial when it comes to effectively detecting contaminants in foods and feeds. The objective of the study was to estimate the performance of sampling plan designs to determine aflatoxin B(1) (AFB(1)) contamination in corn fields. A total of 840 ears were selected from a corn field suspected of being contaminated with aflatoxin. The mean and variance among the aflatoxin values for each ear were 10.6 mug/kg and 2233.3, respectively. The variability and confidence intervals associated with sample means of a given size could be predicted using an equation associated with the normal distribution. Sample sizes of 248 and 674 ears would be required to estimate the true field concentration of 10.6 mug/kg within +/-50 and +/-30%, respectively. Using the distribution information from the study, operating characteristic curves were developed to show the performance of various sampling plan designs.


Archive | 2011

Sampling procedures to detect mycotoxins in agricultural commodities

T. B. Whitaker; Andrew B. Slate; Bruno Doko; Britt Maestroni; Andrew Cannavan

Sampling procedures to detect mycotoxins in agricultural commodities , Sampling procedures to detect mycotoxins in agricultural commodities , کتابخانه دیجیتال جندی شاپور اهواز


Journal of Agricultural and Food Chemistry | 2013

Development of an incurred cornbread model for gluten detection by immunoassays.

Girdhari M. Sharma; Sefat E. Khuda; Marion Pereira; Andrew B. Slate; Lauren S. Jackson; Christopher Pardo; Kristina M. Williams; T. B. Whitaker

Gluten that is present in food as a result of cross-contact or misbranding can cause severe health concerns to wheat-allergic and celiac patients. Immunoassays, such as enzyme-linked immunosorbent assay (ELISA) and lateral flow device (LFD), are commonly used to detect gluten traces in foods. However, the performance of immunoassays can be affected by non-assay-related factors, such as food matrix and processing conditions. Gluten (0-500 ppm) and wheat flour (20-1000 ppm) incurred cornbread was prepared at different incurred levels and baking conditions (204.4 °C for 20, 27, and 34 min) to study the accuracy and precision of gluten measurement by seven immunoassay kits (three LFD and four ELISA kits). The stability and immunoreactivity of gluten proteins, as measured by western blot using three different antibodies, were not adversely affected by the baking conditions. However, the gluten recovery varied depending upon the ELISA kit and the gluten source used to make the incurred cornbread, affecting the accuracy of gluten quantification (BioKits, 9-77%; Morinaga, 91-137%; R-Biopharm, 61-108%; and Romer Labs, 113-190%). Gluten recovery was reduced with increased baking time for most ELISA kits analyzed. Both the sampling and analytical variance increased with an increase in the gluten incurred level. The predicted analytical coefficient of variation associated with all ELISA kits was below 12% for all incurred levels, indicative of good analytical precision.


World Mycotoxin Journal | 2015

A study of the 2013 Western European issue of aflatoxin contamination of maize from the Balkan area

T.C. de Rijk; H.P. van Egmond; H.J. van der Fels-Klerx; R. Herbes; W.C.M. de Nijs; R.A. Samson; Andrew B. Slate; M. van der Spiegel

In March 2013 a large shipment of maize, intended for feed was subject of an alert in the Rapid Alert System for Food and Feed of the European Commission (EC) because the aflatoxin B1 (AFB1) level in the load exceeded the EC regulated maximum level of 20 μg/kg. Since the shipment had passed import controls and was already distributed (mainly to German farms), a massive recall followed. The aim of the current study was to investigate questions, raised by authorities and industry, related to the effectivity of EU sampling procedures, the influence of sample homogenisation procedures and sample storage conditions on the test results, and fungal identification as unexpected mycotoxins were identified during this study. The Netherlands Food and Consumer Product Safety Authority seized a shipload of maize in July 2013, suspected to be contaminated with AFB1. The shipload was sampled according to the 2009 and 2013 EC Sampling Regulations to compare the outcomes of both sampling protocols. Mycotoxin analysis of t...


Journal of Agricultural and Food Chemistry | 2015

Use of combined uncertainty of pesticide residue results for testing compliance with maximum residue limits (MRLs)

Zsuzsa Farkas; Andrew B. Slate; T. B. Whitaker; Gabriella Suszter; Árpád Ambrus

The uncertainty of pesticide residue levels in crops due to sampling, estimated for 106 individual crops and 24 crop groups from residue data obtained from supervised trials, was adjusted with a factor of 1.3 to accommodate the larger variability of residues under normal field conditions. Further adjustment may be necessary in the case of mixed lots. The combined uncertainty of residue data including the contribution of sampling is used for calculation of an action limit, which should not be exceeded when compliance with maximum residue limits is certified as part of premarketing self-control programs. On the contrary, for testing compliance of marketed commodities the residues measured in composite samples should be greater than or equal to the decision limit calculated only from the combined uncertainty of the laboratory phase of the residue determination. The options of minimizing the combined uncertainty of measured residues are discussed. The principles described are also applicable to other chemical contaminants.


World Mycotoxin Journal | 2015

Variability and distribution among sample test results when sampling unprocessed oat lots for ochratoxin A

T. B. Whitaker; Andrew B. Slate; T.W. Nowicki; Francis G. Giesbrecht

In 2008, Health Canada announced it was considering the establishment of maximum levels for ochratoxin A (OTA) in a number of foods, including unprocessed wheat and oats and their products. The Canada Grains Council and Canadian National Millers Association initiated a study to measure the variability and distribution among sample test results so that scientifically based sampling plans could be designed to meet regulatory and industry requirements. Twenty lots of oats naturally contaminated with OTA were identified and sampled according to a nested experimental protocol where 16-two kg laboratory samples were taken from each lot, two 100 g test portions were taken from each comminuted laboratory sample, and two aliquots of the extract from each test portion were analysed for OTA by LC. The variance associated with each step of the OTA test procedure were found to be a function of OTA concentration and regression equations were developed to predict the functional relationship. When using the above OTA tes...


Peanut Science | 2008

Designing Sampling Plans to Detect Foreign Material in Bulk Lots of Shelled Peanut1

T. B. Whitaker; Andrew B. Slate; Francis G. Giesbrecht

Abstract When food manufacturers specify a maximum limit for the amount of foreign material (FM) in the lot, handlers estimate the true percent FM in a commercial lot by measuring FM in a small sample taken from the lot before shipment to a food manufacturer. Because of the uncertainty (variability) in FM among samples taken from the same lot, it is difficult to obtain a precise estimate of the true FM in the lot. The objectives of this study were to (1) measure the variability and FM distribution among sample test results when estimating the true lot proportion of FM in a lot of shelled peanuts, (2) compare the measured variability and FM distribution among sample test results to that predicted by the binomial distribution, (3) develop a computer model, based upon the binomial distribution, to evaluate the performance (buyers risk and sellers risk) of sampling plan designs used to estimate FM in a bulk lot of shelled peanuts, and (4) demonstrate with the model the effect of increasing sample size to re...

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T. B. Whitaker

North Carolina State University

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Francis G. Giesbrecht

North Carolina State University

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Mary W. Trucksess

Food and Drug Administration

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Andrew Cannavan

International Atomic Energy Agency

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Britt Maestroni

International Atomic Energy Agency

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Kristina M. Williams

Food and Drug Administration

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M. Bruno Doko

International Atomic Energy Agency

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Aysun Yilmaz

Scientific and Technological Research Council of Turkey

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Guner Ozay

Scientific and Technological Research Council of Turkey

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H.I. Oktay Basegmez

Scientific and Technological Research Council of Turkey

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