The large-scale usage of petro-chemical-based plastics has proved to be a significant source of environmental pollution due to their non-biodegradable nature. Microbes-based enzymes such as esterases, cutinases, and lipases have shown the ability to degrade synthetic plastic. However, the degradation of plastics by enzymes is primarily limited by the unavailability of a robust enzymatic system, i.e., low activity and stability towards plastic degradation. Recently, the machine learning strategy involved structure-based and deep neural networks show desirable potential to generate functional, active stable, and tolerant polyethylene terephthalate (PET) degrading enzyme (FAST-PETase). FAST-PETase showed the highest PET hydrolytic activity among known enzymes or their variants and degraded broad ranges of plastics. The development of a closed-loop circular economy-based system of plastic degradation to monomers by FAST-PETase followed by the re-polymerization of monomers into clean plastics can be a more sustainable approach. As an alternative to synthetic plastics, diverse microbes can produce polyhydroxyalkanoates, and their degradation by microbes has been well-established. This article discusses recent updates in the enzymatic degradation of plastics for sustainable development.
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Abdullah Gul Univ, Dept Econ, Kayseri, Turkiye
King Fahd Univ Petr & Minerals, Interdisciplinary Res Ctr Renewable Energy & Power, Dhahran, Saudi Arabia
Univ Sharjah, Finance & Econ, Sharjah, U Arab EmiratesAbdullah Gul Univ, Dept Econ, Kayseri, Turkiye
Dogan, Eyup
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Luni, Tania
Majeed, Muhammad Tariq
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Quaid I Azam Univ, Sch Econ, Islamabad, PakistanAbdullah Gul Univ, Dept Econ, Kayseri, Turkiye
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Korea Univ Sci & Technol UST, Resources Recycling, Daejeon 305350, South Korea
Korea Inst Geosci & Mineral Resources KIGAM, Mineral Resources Res Div, Daejeon 305350, South KoreaKorea Univ Sci & Technol UST, Resources Recycling, Daejeon 305350, South Korea
Jun, Minji
Srivastava, Rajiv Ranjan
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Korea Univ Sci & Technol UST, Resources Recycling, Daejeon 305350, South Korea
Korea Inst Geosci & Mineral Resources KIGAM, Mineral Resources Res Div, Daejeon 305350, South KoreaKorea Univ Sci & Technol UST, Resources Recycling, Daejeon 305350, South Korea
Srivastava, Rajiv Ranjan
Jeong, Jinki
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Korea Univ Sci & Technol UST, Resources Recycling, Daejeon 305350, South Korea
Korea Inst Geosci & Mineral Resources KIGAM, Mineral Resources Res Div, Daejeon 305350, South KoreaKorea Univ Sci & Technol UST, Resources Recycling, Daejeon 305350, South Korea
Jeong, Jinki
Lee, Jae-chun
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Korea Univ Sci & Technol UST, Resources Recycling, Daejeon 305350, South Korea
Korea Inst Geosci & Mineral Resources KIGAM, Mineral Resources Res Div, Daejeon 305350, South KoreaKorea Univ Sci & Technol UST, Resources Recycling, Daejeon 305350, South Korea
Lee, Jae-chun
Kim, Min-seuk
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Korea Univ Sci & Technol UST, Resources Recycling, Daejeon 305350, South Korea
Korea Inst Geosci & Mineral Resources KIGAM, Mineral Resources Res Div, Daejeon 305350, South KoreaKorea Univ Sci & Technol UST, Resources Recycling, Daejeon 305350, South Korea
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Univ Catania, Dept Civil Engn & Architecture DICAr, Viale Andrea Doria 6, I-95125 Catania, ItalyUniv Catania, Dept Civil Engn & Architecture DICAr, Viale Andrea Doria 6, I-95125 Catania, Italy
Patti, Antonella
Acierno, Domenico
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CRdC Nuove Tecnol Attivita Prod Scarl, Via Nuova Agnano 11, I-80125 Naples, ItalyUniv Catania, Dept Civil Engn & Architecture DICAr, Viale Andrea Doria 6, I-95125 Catania, Italy