Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Common and Novel Methods for the Identification of Bisphenol a in Tea Samples: A Systematic Review Study Publisher



Akbari N1, 2 ; Basaran B3 ; Ghazikhansari M4 ; Akbariadergani B5 ; Bakhtiyari A1 ; Shavaligilani P1 ; Sadighara P1
Authors
Show Affiliations
Authors Affiliations
  1. 1. Division of Food Safety and Hygiene, Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Student's Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Department of Nutrition and Dietetics, Faculty of Health Sciences, Recep Tayyip Erdogan University, Rize, 53100
  4. 4. Department of Pharmacology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Water Safety Research Center, Food and Drug Administration, Ministry of Health and Medical Education, Tehran, Iran

Source: Microchemical Journal Published:2024


Abstract

Tea is the most widely consumed beverage in the world, so its safety is of particular importance. Bisphenol A (BPA) is a pollutant that has been identified in the environment. This systematic study was conducted with the focus on the amount of BPA in tea. Searching in databases was done with related keywords without limitation in time. In most studies, bisphenol A has been detected in tea samples. The range of bisphenol A in tea samples is between ND (not detected) and 219 ng/g. In about 28 % of the studies, the level of bisphenol ND has been reported. Conventional and new techniques for measuring bisphenol in tea are also discussed in this manuscript. The common methods are the use of SPE (Solid-Phase Extraction) and QuEChERS (Quick, Easy, Cheap, Effective, Rugged and Safe) method. However, novel methods, including the use of covalent organic frameworks and Nano particles, are outstanding researches. © 2024 Elsevier B.V.
Related Docs
Experts (# of related papers)