Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Establishing the relationship between molecular biomarkers and biotransformation rates
T2 - Extension of knowledge for dechlorination of polychlorinated dibenzo-p-dioxins and furans (PCDD/Fs)
AU - Waseem, H.
AU - Ali, J.
AU - Syed, J.H.
AU - Jones, K.C.
PY - 2020/8/1
Y1 - 2020/8/1
N2 - Anaerobic reductive treatment technologies offer cost-effective and large-scale treatment of chlorinated compounds, including polychlorinated dibenzo-p-dioxins and furans (PCDD/Fs). The information about the degradation rates of these compounds in natural settings is critical but difficult to obtain because of slow degradation processes. Establishing a relationship between biotransformation rate and abundance of biomarkers is one of the most critical challenges faced by the bioremediation industry. When solved for a given contaminant, it may result in significant cost savings because of serving as a basis for action. In the current review, we have summarized the studies highlighting the use of biomarkers, particularly DNA and RNA, as a proxy for reductive dechlorination of chlorinated ethenes. As the use of biomarkers for predicting biotransformation rates has not yet been executed for PCDD/Fs, we propose the extension of the same knowledge for dioxins, where slow degradation rates further necessitate the need for developing the biomarker-rate relationship. For this, we have first retrieved and calculated the bioremediation rates of different PCDD/Fs and then highlighted the key sequences that can be used as potential biomarkers. We have also discussed the implications and hurdles in developing such a relationship. Improvements in current techniques and collaboration with some other fields, such as biokinetic modeling, can improve the predictive capability of the biomarkers so that they can be used for effectively predicting biotransformation rates of dioxins and related compounds. In the future, a valid and established relationship between biomarkers and biotransformation rates of dioxin may result in significant cost savings, whilst also serving as a basis for action.
AB - Anaerobic reductive treatment technologies offer cost-effective and large-scale treatment of chlorinated compounds, including polychlorinated dibenzo-p-dioxins and furans (PCDD/Fs). The information about the degradation rates of these compounds in natural settings is critical but difficult to obtain because of slow degradation processes. Establishing a relationship between biotransformation rate and abundance of biomarkers is one of the most critical challenges faced by the bioremediation industry. When solved for a given contaminant, it may result in significant cost savings because of serving as a basis for action. In the current review, we have summarized the studies highlighting the use of biomarkers, particularly DNA and RNA, as a proxy for reductive dechlorination of chlorinated ethenes. As the use of biomarkers for predicting biotransformation rates has not yet been executed for PCDD/Fs, we propose the extension of the same knowledge for dioxins, where slow degradation rates further necessitate the need for developing the biomarker-rate relationship. For this, we have first retrieved and calculated the bioremediation rates of different PCDD/Fs and then highlighted the key sequences that can be used as potential biomarkers. We have also discussed the implications and hurdles in developing such a relationship. Improvements in current techniques and collaboration with some other fields, such as biokinetic modeling, can improve the predictive capability of the biomarkers so that they can be used for effectively predicting biotransformation rates of dioxins and related compounds. In the future, a valid and established relationship between biomarkers and biotransformation rates of dioxin may result in significant cost savings, whilst also serving as a basis for action.
KW - Biomarkers
KW - Bioremediation
KW - Dechlorination rate
KW - Dehalococcoides
KW - Dioxin
KW - Aromatic compounds
KW - Bioconversion
KW - Biotechnology
KW - Cost effectiveness
KW - Dechlorination
KW - Degradation
KW - Organic pollutants
KW - Chlorinated compounds
KW - Chlorinated ethenes
KW - Critical challenges
KW - Molecular biomarker
KW - Polychlorinated dibenzo- p - dioxins
KW - Predictive capabilities
KW - Reductive dechlorination
KW - Treatment technologies
KW - biomarker
KW - bioremediation
KW - biotransformation
KW - dechlorination
KW - degradation
KW - DNA
KW - ethylene
KW - PCDD
KW - PCDF
KW - RNA
U2 - 10.1016/j.envpol.2020.114676
DO - 10.1016/j.envpol.2020.114676
M3 - Journal article
VL - 263
JO - Environmental Pollution
JF - Environmental Pollution
SN - 0269-7491
IS - A
M1 - 114676
ER -