Sample Size Estimation for Risk Assessment and Monitoring Based on Heavy Metal Monitoring Data from Food Items

Autor: Mira Ha, Hae-Jung Yoon, Hui Seung Kang, Ahra Ko, Myung-Sil Hwang, In Gyun Hwang, Da-Hyun Jeong, Jin-Hwan Hong
Rok vydání: 2015
Předmět:
Zdroj: Journal of Food Hygiene and Safety. 30:127-131
ISSN: 1229-1153
DOI: 10.13103/jfhs.2015.30.2.127
Popis: This study aimed to calculate the required sample size to monitor food items during risk assess- ment studies. Based on a data set from a previous study (2,400 data points for heavy metal assessment from 17 food items), the required sample size was estimated by using a single equation with the standard deviation value, error range, and 95%-99% confidence intervals. The required sample size was calculated with each of the heavy metals for the assessment. The results showed that cadmium, lead, and mercury of required sample sizes for further monitoring were range of 7-90, 7-1, 062, and 11-238, respectively. We found that the required sample size varied depending on the standard deviation of the previous monitoring data. This study provides a basic method to determine the minimum sample size required in food monitoring to devise practical sampling strategies.
Databáze: OpenAIRE