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Chemical Structure| 1137-99-1

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Seo, Hogyun ; Hong, Hwaseok ; Park, Jiyoung ; Lee, Seul Hoo ; Ki, Dongwoo ; Ryu, Aejin , et al.

Abstract: Enzymes capable of breaking down have been identified from natural sources and developed for industrial use in plastic recycling. However, there are many potential starting points for enzyme optimization that remain unexplored. We generated a landscape of 170 lineages of 1894 polyethylene terephthalate depolymerase (PETase) candidates and performed profiling using sampling approaches with features associated with PET-degrading capabilities. We identified three promising yet unexplored PETase lineages and two potent PETases, Mipa-P and Kubu-P. An engineered variant of Kubu-P outperformed benchmarks in terms of PET depolymerization in harsh environments, such as those with high substrate load and ethylene glycol as the solvent.

Purchased from AmBeed:

Hwang, Eonjin ; Ahmad, Raees ; Shafique, Imran ; Shim, Woon Joon ; Son, Seungwoo ; Kim, Sunghwan

Abstract: The extensive global use of polyethylene terephthalate (PET) has led to increased plastic pollution in marine environments, posing significant ecological and health risks due to photodegradation. In this study, PET photodegradation was simulated under controlled marine-like conditions. Utilizing ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry, we identified 17 degradation products, five of which were confirmed using authentic standards. Laboratory-based simulations indicated that the global annual release of these compounds could range from 1 to 5.5 tons, suggesting potential environmental accumulation. To verify this, targeted environmental analyses were conducted, detecting PET-derived degradation products in marine sediments collected from Ganggu Port, South Korea. These results underscore the environmental risks associated with PET photodegradation and emphasize the urgent need for effective mitigation strategies.

Keywords: Microplastics ; Polyethylene terephthalate ; Photodegradation ; Toxicity Assessment ; Marine pollution

Purchased from AmBeed: ;

Osei, Dacosta ; Gurrala, Lakshmiprasad ; Sheldon, Aria ; Mayuga, Jackson ; Lincoln, Clarissa ; Rorrer, Nicholas A. , et al.

Abstract: The development of an efficient and environmentally sustainable chem. hydrolysis process for recycling waste plastics, based on green chem. principles, is a key challenge. In this work, we investigated the role of subcritical CO2 on the hydrolysis of polyethylene (PET) into (TPA) at 180-200 °C for 10-100 min. The addition of CO2 into the reaction mixture led to the in situ formation of carbonic acid that helps to catalyze PET hydrolysis relative to hot compressed H2O (i.e. N2-H2O). The highest yield of 85.0 ± 1.3% was obtained at 200 °C, PET loading of 2.5 g PET in 20 mL H2O for 100 min, and 208 psi of initial CO2 pressure. In addition, the subcritical CO2-H2O system demonstrated high selectivity toward hydrolyzing PET in a mixture with polyethylene (PE) at 200 °C for 100 min, thus providing "molecular sorting" capabilities to the recycling process. The robustness of the process was also demonstrated by the ability to hydrolyze both colored Canada Dry and transparent Pure Life waste PET bottles into high yields of (>86%) at 200 °C. In addition, subcritical CO2-H2O hydrolysis of colored PET bottles resulted in a white product similar to that generated from transparent PET bottles. Overall, this work shows that, under optimized reaction conditions, subcritical CO2 can provide acid tunability to the reaction medium to favor waste PET hydrolysis for subsequent recycling.

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Lakshmiprasad Gurrala ; Rafi Anowar ; Ana Rita C. Morais ;

Abstract: Enzymatic hydrolysis of semicrystalline (PET) is hindered by the hydrophobic nature and crystallinity of the substrate, and it highly depends on the available interfacial area between substrate and aqueous phase. While most studies leverage particle size reduction to increase interfacial area, this study investigates the use of supercritical CO2 (scCO2) to increase internal surface area in PET, and its impact on the enzymatic hydrolysis yields. Our work shows that scCO2 pretreatment of semicrystalline PET resulted in up to 2-fold higher (TPA) yield relative to the untreated counterpart using Humicola insolens cutinase (HiC) enzyme. There is a positive correlation between the total pore surface area in the scCO2-pretreated PET samples and the final yield. In addition, preliminary kinetic studies revealed faster initial production of for scCO2-treated PET relative to untreated PET. ScCO2-treated PET samples showed no significant changes in the crystalline content and thermal properties. However, NMR data indicated that scCO2-treated PET has a slightly higher apparent number-average molecular weight (Mn) relative to that of untreated PET. Overall, scCO2 pretreatment led to increased semicrystalline PET susceptibility to HiC enzyme action, resulting in increased yields.

Keywords: biocatalysis ; acid ; CO2 ; porosity ; cutinase ; interfacial ; sustainability ; plastic recycling/upcycling

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Hong, Hwaseok ; Ki, Dongwoo ; Seo, Hogyun ; Park, Jiyoung ; Jang, Jaewon ; Kim, Kyung-Jin

Abstract: Excessive polyethylene terephthalate (PET) waste causes a variety of problems. Extensive research focused on the development of superior PET hydrolases for PET biorecycling has been conducted. However, template enzymes employed in enzyme engineering mainly focused on IsPETase and leaf-branch compost cutinase, which exhibit mesophilic and thermophilic hydrolytic properties, respectively. Herein, we report a PET hydrolase from Cryptosporangium aurantiacum (CaPETase) that exhibits high thermostability and remarkable PET degradation activity at ambient temperatures. We uncover the crystal structure of CaPETase, which displays a distinct backbone conformation at the active site and residues forming the substrate binding cleft, compared with other PET hydrolases. We further develop a CaPETaseM9 variant that exhibits robust thermostability with a Tm of 83.2 °C and 41.7-fold enhanced PET hydrolytic activity at 60 °C compared with CaPETaseWT. CaPETaseM9 almost completely decompose both transparent and colored post-consumer PET powder at 55 °C within half a day in a pH-stat bioreactor.

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Alternative Products

Product Details of [ 1137-99-1 ]

CAS No. :1137-99-1
Formula : C10H10O5
M.W : 210.18
SMILES Code : O=C(O)C1=CC=C(C(OCCO)=O)C=C1
MDL No. :MFCD20259688
InChI Key :BCBHDSLDGBIFIX-UHFFFAOYSA-N
Pubchem ID :174073

Safety of [ 1137-99-1 ]

GHS Pictogram:
Signal Word:Warning
Hazard Statements:H302-H315-H319-H335
Precautionary Statements:P261-P305+P351+P338

Computational Chemistry of [ 1137-99-1 ] Show Less

Physicochemical Properties

Num. heavy atoms 15
Num. arom. heavy atoms 6
Fraction Csp3 0.2
Num. rotatable bonds 5
Num. H-bond acceptors 5.0
Num. H-bond donors 2.0
Molar Refractivity 50.65
TPSA ?

Topological Polar Surface Area: Calculated from
Ertl P. et al. 2000 J. Med. Chem.

83.83 Ų

Lipophilicity

Log Po/w (iLOGP)?

iLOGP: in-house physics-based method implemented from
Daina A et al. 2014 J. Chem. Inf. Model.

1.05
Log Po/w (XLOGP3)?

XLOGP3: Atomistic and knowledge-based method calculated by
XLOGP program, version 3.2.2, courtesy of CCBG, Shanghai Institute of Organic Chemistry

0.65
Log Po/w (WLOGP)?

WLOGP: Atomistic method implemented from
Wildman SA and Crippen GM. 1999 J. Chem. Inf. Model.

0.53
Log Po/w (MLOGP)?

MLOGP: Topological method implemented from
Moriguchi I. et al. 1992 Chem. Pharm. Bull.
Moriguchi I. et al. 1994 Chem. Pharm. Bull.
Lipinski PA. et al. 2001 Adv. Drug. Deliv. Rev.

0.99
Log Po/w (SILICOS-IT)?

SILICOS-IT: Hybrid fragmental/topological method calculated by
FILTER-IT program, version 1.0.2, courtesy of SILICOS-IT, http://www.silicos-it.com

0.88
Consensus Log Po/w?

Consensus Log Po/w: Average of all five predictions

0.82

Water Solubility

Log S (ESOL):?

ESOL: Topological method implemented from
Delaney JS. 2004 J. Chem. Inf. Model.

-1.52
Solubility 6.37 mg/ml ; 0.0303 mol/l
Class?

Solubility class: Log S scale
Insoluble < -10 < Poorly < -6 < Moderately < -4 < Soluble < -2 Very < 0 < Highly

Very soluble
Log S (Ali)?

Ali: Topological method implemented from
Ali J. et al. 2012 J. Chem. Inf. Model.

-1.99
Solubility 2.17 mg/ml ; 0.0103 mol/l
Class?

Solubility class: Log S scale
Insoluble < -10 < Poorly < -6 < Moderately < -4 < Soluble < -2 Very < 0 < Highly

Very soluble
Log S (SILICOS-IT)?

SILICOS-IT: Fragmental method calculated by
FILTER-IT program, version 1.0.2, courtesy of SILICOS-IT, http://www.silicos-it.com

-1.7
Solubility 4.17 mg/ml ; 0.0199 mol/l
Class?

Solubility class: Log S scale
Insoluble < -10 < Poorly < -6 < Moderately < -4 < Soluble < -2 Very < 0 < Highly

Soluble

Pharmacokinetics

GI absorption?

Gatrointestinal absorption: according to the white of the BOILED-Egg

High
BBB permeant?

BBB permeation: according to the yolk of the BOILED-Egg

No
P-gp substrate?

P-glycoprotein substrate: SVM model built on 1033 molecules (training set)
and tested on 415 molecules (test set)
10-fold CV: ACC=0.72 / AUC=0.77
External: ACC=0.88 / AUC=0.94

No
CYP1A2 inhibitor?

Cytochrome P450 1A2 inhibitor: SVM model built on 9145 molecules (training set)
and tested on 3000 molecules (test set)
10-fold CV: ACC=0.83 / AUC=0.90
External: ACC=0.84 / AUC=0.91

No
CYP2C19 inhibitor?

Cytochrome P450 2C19 inhibitor: SVM model built on 9272 molecules (training set)
and tested on 3000 molecules (test set)
10-fold CV: ACC=0.80 / AUC=0.86
External: ACC=0.80 / AUC=0.87

No
CYP2C9 inhibitor?

Cytochrome P450 2C9 inhibitor: SVM model built on 5940 molecules (training set)
and tested on 2075 molecules (test set)
10-fold CV: ACC=0.78 / AUC=0.85
External: ACC=0.71 / AUC=0.81

No
CYP2D6 inhibitor?

Cytochrome P450 2D6 inhibitor: SVM model built on 3664 molecules (training set)
and tested on 1068 molecules (test set)
10-fold CV: ACC=0.79 / AUC=0.85
External: ACC=0.81 / AUC=0.87

No
CYP3A4 inhibitor?

Cytochrome P450 3A4 inhibitor: SVM model built on 7518 molecules (training set)
and tested on 2579 molecules (test set)
10-fold CV: ACC=0.77 / AUC=0.85
External: ACC=0.78 / AUC=0.86

No
Log Kp (skin permeation)?

Skin permeation: QSPR model implemented from
Potts RO and Guy RH. 1992 Pharm. Res.

-7.12 cm/s

Druglikeness

Lipinski?

Lipinski (Pfizer) filter: implemented from
Lipinski CA. et al. 2001 Adv. Drug Deliv. Rev.
MW ≤ 500
MLOGP ≤ 4.15
N or O ≤ 10
NH or OH ≤ 5

0.0
Ghose?

Ghose filter: implemented from
Ghose AK. et al. 1999 J. Comb. Chem.
160 ≤ MW ≤ 480
-0.4 ≤ WLOGP ≤ 5.6
40 ≤ MR ≤ 130
20 ≤ atoms ≤ 70

None
Veber?

Veber (GSK) filter: implemented from
Veber DF. et al. 2002 J. Med. Chem.
Rotatable bonds ≤ 10
TPSA ≤ 140

0.0
Egan?

Egan (Pharmacia) filter: implemented from
Egan WJ. et al. 2000 J. Med. Chem.
WLOGP ≤ 5.88
TPSA ≤ 131.6

0.0
Muegge?

Muegge (Bayer) filter: implemented from
Muegge I. et al. 2001 J. Med. Chem.
200 ≤ MW ≤ 600
-2 ≤ XLOGP ≤ 5
TPSA ≤ 150
Num. rings ≤ 7
Num. carbon > 4
Num. heteroatoms > 1
Num. rotatable bonds ≤ 15
H-bond acc. ≤ 10
H-bond don. ≤ 5

0.0
Bioavailability Score?

Abbott Bioavailability Score: Probability of F > 10% in rat
implemented from
Martin YC. 2005 J. Med. Chem.

0.56

Medicinal Chemistry

PAINS?

Pan Assay Interference Structures: implemented from
Baell JB. & Holloway GA. 2010 J. Med. Chem.

0.0 alert
Brenk?

Structural Alert: implemented from
Brenk R. et al. 2008 ChemMedChem

0.0 alert: heavy_metal
Leadlikeness?

Leadlikeness: implemented from
Teague SJ. 1999 Angew. Chem. Int. Ed.
250 ≤ MW ≤ 350
XLOGP ≤ 3.5
Num. rotatable bonds ≤ 7

No; 1 violation:MW<1.0
Synthetic accessibility?

Synthetic accessibility score: from 1 (very easy) to 10 (very difficult)
based on 1024 fragmental contributions (FP2) modulated by size and complexity penaties,
trained on 12'782'590 molecules and tested on 40 external molecules (r2 = 0.94)

1.66
 

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