Survey of heavy metal contamination in recycled polyethylene terephthalate used for food packaging

2012 ◽  
Vol 29 (2) ◽  
pp. 163-173 ◽  
Author(s):  
M Whitt ◽  
K Vorst ◽  
W Brown ◽  
S Baker ◽  
L Gorman
2017 ◽  
Vol 34 (2) ◽  
pp. 119-139 ◽  
Author(s):  
Bradley Goodlaxson ◽  
Greg Curtzwiler ◽  
Keith Vorst

Increased consumer awareness of heavy metal content in virgin and post-consumer recycled polymers for direct food-contact packaging has necessitated developing analytical methods that identify and quantify heavy metals. Two common acid digestion methods incompletely digest polyethylene terephthalate samples and, thus, additional methods are required to properly analyze polyethylene terephthalate. This study developed two modified microwave-assisted acid digestion methods resulting in complete polyethylene terephthalate digestion, which subsequently produced visually clear solutions. Inductively coupled plasma-optical emission spectrometry analysis of the completely digested polyethylene terephthalate resulted in heavy metal concentrations statistically higher for lead and antimony than for the methods that did not completely digest the polyethylene terephthalate polymer. This study indicates that previously published research results might have unintentionally created bias toward lower heavy metal contamination in polymers used for food packaging. This is of concern when considering end-of-life disposal for food packaging with regulatory threshold levels for specific and total heavy metal content.


2009 ◽  
Vol 8 (6) ◽  
pp. 1541-1551
Author(s):  
Corneliu Horaicu ◽  
Florea Cornel Gabrian ◽  
Irina Grozavu ◽  
Catalin Constantin Calu ◽  
Monica Horaicu ◽  
...  

1993 ◽  
Vol 27 (7-8) ◽  
pp. 263-269 ◽  
Author(s):  
B. Iosefzon-Kuyavskaya ◽  
N. Myrlyan ◽  
A. Shames

Electron Spin Resonance (ESR) was used for the examination oi dust samples collected from snow in an urban area. On the main doublet ESR line attributed to the signal of paramagnetic metals, a singlet line characteristic for stable free radical centers (FRC) was observed. A negative correlation of significant level between FRC signal intensity and heavy metal (HM) content was established. It was shown that FRC line intensity of dust may be used as a surrogate parameter for the estimation of air pollution by HM.


Author(s):  
Sangeetha Annam ◽  
Anshu Singla

Abstract: Soil is a major and important natural resource, which not only supports human life but also furnish commodities for ecological and economic growth. Ecological risk has posed a serious threat to the ecosystem by the degradation of soil. The high-stress level of heavy metals like chromium, copper, cadmium, etc. produce ecological risks which include: decrease in the fertility of the soil; reduction in crop yield & degradation of metabolism of living beings, and hence ecological health. The ecological risk associated, demands the assessment of heavy metal stress levels in soils. As the rate of stress level of heavy metals is exponentially increasing in recent times, it is apparent to assess or predict heavy metal contamination in soil. The assessment will help the concerned authorities to take corrective as well as preventive measures to enhance the ecological and hence economic growth. This study reviews the efficient assessment models to predict soil heavy metal contamination.


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