100
Views
1
CrossRef citations to date
0
Altmetric
Review

Prevalence and concentration of ochratoxin a in spices: a global systematic review and meta-analysis study

ORCID Icon, , ORCID Icon, , , ORCID Icon & show all
Received 11 Jan 2023, Accepted 26 Feb 2023, Published online: 30 Mar 2023
 

ABSTRACT

Ochratoxin A (OTA) is one of the most important toxic metabolites of fungi found in agricultural products. This study aimed to estimate the prevalence and concentration of OTA in spices through meta-analysis. Therefore, online databases including PubMed, Embase, Web of Science, and Scopus were screened systematically from 1995 to 2022 to collect the related data. After assessing eligibility, 36 articles with 1686 samples were included in the current study. According to the findings, the global pooled prevalence of OTA was counted as 50% (95% CI: 47–52%). Also, a positive correlation between the prevalence of OTA with the year of study, region, and sample size was observed. Moreover, the highest and lowest concentrations of OTA in spices were noted in paprika (50.66 ng/g) and cinnamon (3.4 ng/g), respectively. The outcome of this meta-analysis can be used for risk assessment model development, aiming to help the government and industries to find a specific way to reduce the prevalence of OTA spice products.

Acknowledgments

This study was supported by Shahid Beheshti University of Medical Sciences, Tehran Iran.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,223.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.