Research Topics
| T B WhitakerSummaryAffiliation: North Carolina State University Country: USA Publications
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Detail Information
Publications
Sampling foods for mycotoxinsT B Whitaker
US Department of Agriculture, Agricultural Research Service, North Carolina State University, Box 7625, Raleigh, NC 27695 7625, USA
Food Addit Contam 23:50-61. 2006..Methods to reduce sampling, sample preparation and analytical variability are discussed...- Evaluating the performance of sampling plans to detect fumonisin B1 in maize lots marketed in NigeriaThomas B Whitaker
U S Department of Agriculture, Agricultural Research Service, Box 7625, North Carolina State University, Raleigh, NC, USA
J AOAC Int 90:1050-9. 2007..The performance of several sampling plan designs was evaluated to demonstrate how to manipulate sample size and accept/reject limits to reduce misclassification of maize lots... - Correlation between aflatoxin contamination and various USDA grade categories of shelled almondsThomas B Whitaker
U S Department of Agriculture, Agricultural Research Service, North Carolina State University, Biological and Agricultural Engineering Department, Box 7625, Raleigh, NC 27695 7625, USA
J AOAC Int 93:943-7. 2010..Regression equations demonstrated that aflatoxin mass only in the insect damaged kernels was also an effective way to predict the aflatoxin concentration in each 12 000 g sample... 
Sampling and analytical variability associated with the determination of aflatoxins and ochratoxin A in bulk lots of powdered ginger marketed in 1-lb bagsThomas B Whitaker
US Department of Agriculture, ARS, North Carolina State University, P O Box 7625, Raleigh, NC 27695 7625, USA
Anal Bioanal Chem 395:1291-9. 2009..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...- Evaluating the performance of sampling plans to detect hypoglycin A in ackee fruit shipments imported into the United StatesThomas B Whitaker
U S Department of Agriculture, Agricultural Research Service, Box 7625, North Carolina State University, Raleigh, NC 27695 7625, USA
J AOAC Int 90:1060-72. 2007..The performance of several sampling plan designs was evaluated to demonstrate how to manipulate sample size and accept/reject limits to reduce misclassification of ackee fruit lots... - Sampling almonds for aflatoxin, part II: estimating risks associated with various sampling plan designsThomas B Whitaker
U S Department of Agriculture, Agricultural Research Service, North Carolina State University, Box 7625, Raleigh, NC 27695 7625, USA
J AOAC Int 90:778-85. 2007..By using the variance and distribution information, operating characteristics curves were developed to predict the effect of sample size and accept/reject limits on the probability of rejecting good lots and accepting bad lots... - Sampling almonds for aflatoxin, part I: estimation of uncertainty associated with sampling, sample preparation, and analysisThomas B Whitaker
Agricultural Research Service, Department of Agriculture, Box 7625, North Carolina State University, Raleigh, NC 27695 7625, USA
J AOAC Int 89:1027-34. 2006..7 (CV, 132.4%), 14.7 (CV, 25.5%), 0.8 (CV, 6.1%), and 410.2 (CV, 135.0%), respectively. The percentages of the total variance associated with sampling, sample preparation, and analytical steps were 96.2, 3.6, and 0.2, respectively... - Immunochemical analytical methods for the determination of peanut proteins in foodsThomas B Whitaker
U S Department of Agriculture, Agricultural Research Service, Box 7625, North Carolina State University, Raleigh, NC 27695 7625, USA
J AOAC Int 88:161-74. 2005..The normalization method adjusts measured protein values to equal the true protein value regardless of the type test kit or type food matrix... - Evaluation of sampling plans to detect Cry9C protein in corn flour and mealThomas B Whitaker
U S Department of Agriculture, Agricultural Research Service, North Carolina State University, Raleigh, NC 27695 7625, USA
J AOAC Int 87:950-60. 2004..Operating characteristic curves were developed and used to demonstrate the effect of increasing sample size on reducing false positives (seller's risk) and false negatives (buyer's risk)... - Estimating deoxynivalenol in shelled corn barge lots by measuring deoxynivalenol in corn screeningsThomas B Whitaker
US Department of Agriculture, Agricultural Research Service, PO Box 7625, North Carolina State University, Raleigh, NC 27695 7625, USA
J AOAC Int 86:1187-92. 2003..359. The coefficient of variation (CV) associated with predicting the DON concentration in a lot with 359 ng/g using a 1.1 kg test sample was 47.0%. Increasing sample size to 4.4 kg reduced the CV to 23%... - Sampling grain shipments to detect genetically modified seedT B Whitaker
USDA ARS, North Carolina State University, Raleigh 27695 7625, USA
J AOAC Int 84:1941-6. 2001..Using an accept/reject limit above the regulatory tolerance decreases the seller's risk but increases the buyer's risk... - Distribution among sample test results when testing shelled corn lots for fumonisinT B Whitaker
USDA-ARS, North Carolina State University, Raleigh 27695-7625, USA
J AOAC Int 84:770-6. 2001..An operating characteristic curve was developed for a fumonisin sampling plan to demonstrate the use of the compound gamma function... - Investigations of the problems of assessing aflatoxin levels in peanutsF G Giesbrecht
Department of Statistics, North Carolina State University, Raleigh 27695 8203, USA
Biometrics 54:739-53. 1998..In the negative binomial, the two parameters can be used as measures of mean or location and shape... - Sampling uncertainties for the detection of chemical agents in complex food matricesThomas B Whitaker
Agricultural Research Service, U S Department of Agriculture, Box 7625, North Carolina State University, Raleigh, North Carolina 27695 7625, USA
J Food Prot 68:1306-13. 2005.... - Detecting mycotoxins in agricultural commoditiesThomas B Whitaker
USDA/ARS, Box 7625, North Carolina State University, Raleigh, NC 27695-7625, USA
Mol Biotechnol 23:61-71. 2003..Methods to reduce sampling, sample preparation, and analytical variability are discussed... - Predicting aflatoxin and fumonisin in shelled corn lots using poor-quality grade componentsAnders S Johansson
U.S. Department of Agriculture-Agricultural Research Service, North Carolina State University, Campus Box 7625, Raleigh, NC 27529-7625, USA
J AOAC Int 89:433-40. 2006..This study indicated that measuring either aflatoxin or fumonisin in the combined DM and BCFM grade components could be used as a screening method to predict either aflatoxin or fumonisin in a bulk lot of shelled corn... - Sampling wheat for deoxynivalenolThomas B Whitaker
U.S. Department of Agriculture, Agricultural Research Service, North Carolina State University, Raleigh 27695-7625, USA
Adv Exp Med Biol 504:73-83. 2002..Even with the use of a small sample size (0.454 kg), the sampling variation was not the largest source of error as found in other mycotoxin test procedures... - Testing green coffee for ochratoxin A, part II: Observed distribution of ochratoxin A test resultsEugenia Azevedo Vargas
Ministerio da Agricultura, Pecuária e Abastecimento, Laboratório de Controle de Qualidade e Segurança Alimentar, Av Raja Gabaglia, 245, Cidade Jardim, Belo Horizonte, MG, CEP 30380 090, Brazil
J AOAC Int 88:780-7. 2005..The percent-contaminated beans were a function of the lot concentration and increased with lot concentration. At a lot concentration of 5 microg/kg, approximately 6 beans per 10,000 beans are contaminated... - Determining the variability associated with testing shelled corn for aflatoxin using different analytical procedures in Louisiana in 1998Douglas L Park
Louisiana State University Agricultural Center, Department of Food Science, Baton Rouge, LA 70803, USA
J AOAC Int 90:1036-41. 2007..The sampling and sample preparation steps accounted for about 91.5% of the total variability. When using the HPLC analytical method, the analytical step contributed only 8.5% to the total variance... - Sampling hazelnuts for aflatoxin: effect of sample size and accept/reject limit on reducing the risk of misclassifying lotsGuner Ozay
TUBITAK Marmara Research Center, Food Institute, PO Box 21, 41470 Gebze Kocaeli, Turkey
J AOAC Int 90:1028-35. 2007..The effect of sample size and accept/reject limits on the chances of rejecting good lots (sellers' risk) and accepting bad lots (buyers' risk) was demonstrated for various sampling plan designs... - Testing green coffee for ochratoxin A, part I: estimation of variance componentsEugenia A Vargas
Ministerio da Agricultura, Pecuária e Abastecimento, Laboratório de Controle de Qualidade e Segurança Alimentar LAV MG, Av Raja Gabaglia, Cidade Jardim, Belo Horizonte, Minas Gerais, Brazil
J AOAC Int 87:884-91. 2004..75 (coefficient of variation [CV] = 65.6%), 7.80 (CV = 55.8%), 2.84 (CV = 33.7%), and 0.11 (CV = 6.6%), respectively. The total variance for sampling, sample preparation, and analytical were 73, 26, and 1%, respectively... - Testing green coffee for ochratoxin A, part III: performance of ochratoxin A sampling planEugenia A Vargas
Ministerio da Agricultura, Pecuária e Abastecimento, Laboratório de Controle de Qualidade e Segurança Alimentar LAV MQ Av Raja Gabaglia, 245, Cidade Jardim, 30380 090, Belo Horizonte, Minas Gerais, Brazil
J AOAC Int 89:1021-6. 2006..As a result, decreasing the accept/reject limit below the regulatory limit increased the number of good lots rejected (sellers' risk), but decreased the number of bad lots accepted (buyers' risk)... - Sampling hazelnuts for aflatoxin: uncertainty associated with sampling, sample preparation, and analysisGuner Ozay
TUBITAK Marmara Research Center, Food Institute, PO Box 21 41470 Gebze, Kocaeli, Turkey
J AOAC Int 89:1004-11. 2006..40, 0.74, and 0.27, respectively. The sampling, sample preparation, and analytical steps of the aflatoxin test procedure accounted for 99.4, 0.4, and 0.2% of the total variability, respectively... - Variation of analytical results for peanuts in energy bars and milk chocolateMary W Trucksess
U S Food and Drug Administration, Center for Food Safety and Applied Nutrition, College Park, MD 20740, USA
J AOAC Int 87:943-9. 2004..This study serves as a template for application to other foods, and for extrapolation to different sizes of samples and subsamples as well as numbers of analyses...