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Product Citations

Product Citations

Carey, Cassidy ;

Abstract: Access to clean water and energy is one of the greatest challenges facing humanity. The water and energy sectors are intertwined in a way that if one is under stress the other is also affected. This phenomenon, also known as the water-energy nexus, drives the need to develop more efficient water purification and energy storage materials to meet increasing demands. Recently, new classes of porous materials have emerged due to their exceptionally high surface areas and unique ability to selectively adsorb and store a target chemical species in both the liquid and gas phases. Due to varying chemical compositions and properties, one challenge within the field of porous materials is selecting an appropriate material for an intended application. This thesis seeks to develop structure-property relationships by synthesizing a variety of porous materials and evaluating performance governing properties across applications ranging from water purification, battery technology, and gas storage. Chapter 1 serves as an introduction to this thesis, contextualizing the major challenges in both porous material development and across each application. In Chapter 2, mixed matrix ion exchanges membranes (IEMs) are designed for simultaneous desalination and boron removal through the incorporation of boron selective porous aromatic frameworks (PAF-1-NMDG) into crosslinked methacrylate monomer-based IEM polymer matrices. Over 90% of the PAF-1-NMDG chelation sites were accessible to boron within the IEMs. The incorporation of PAF-1-NMDG substantially impacted IEM ionic conductivity with 13 wt % PAF-1-NMDG incorporation resulting in 20 % and 15 % reductions in ionic conductivity compared to the controls for the AEMs and CEMs, respectively. The effects of PAF-1-NMDG addition on IEM co-ion concentration were vastly different between the AEMs and CEMs with co-ion concentration remaining constant across all loadings for the AEMs but increasing by an order of magnitude at only 5 wt % loading for the CEMs. The influences of PAF-1-NMDG on ion transport properties were attributed to increased ion diffusional path lengths with the IEMs and interfacial interactions between PAF-1-NMDG and the surrounding polymer matrices. In Chapter 3, mixed matrix membranes are designed for non-aqueous redox flow batteries by incorporating a series of functionalized metal-organic frameworks (MOFs) into a linear polymer matrix. The UiO-66-NH2-based mixed matrix membranes (MMMs) showed exceptional selectivity with a redox species permeability on the order of 5 × 10-10 cm2 /s. Notably, MOFs dual modified with polymers and sulfate ester groups showed significantly improved dispersion compared to those without polymer modification. Furthermore, the ionic conductivities of the dual-modified MOF-based MMMs were an order of magnitude higher than the UiO-66-NH2 based MMMs. Chapter 4 establishes strategies to suppress MOF interpenetration using lattice interacting additives. MOFs synthesized in the presence of geometrically designed additives exhibited a 20 % increase in gravimetric surface area compared to their interpenetrated counterparts. Furthermore, the optical properties of the synthesized MOFs enabled in-situ monitoring of interpenetration, laying groundwork for mechanistic understandings that are generally absent in the field. Chapter 5 concludes the major findings of this work and discusses future directions of porous material design, with emphasis on forthcoming directions within the field such as MOF morphology engineering. This work highlights new synthetic strategies across each application and establishes structure-property relationships related to PAF-IEM interactions, MOF functionalization and interpenetration. This work will improve porous material design across many applications and result in the development of next-generation water purification and energy storage materials.

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Product Details of [ 501944-43-0 ]

CAS No. :501944-43-0
Formula : C14H13BO4
M.W : 256.06
SMILES Code : O=C(C1=CC=C(C2=CC=C(B(O)O)C=C2)C=C1)OC
MDL No. :MFCD08544388
InChI Key :OBHWJBMJYPCGPE-UHFFFAOYSA-N
Pubchem ID :16244481

Safety of [ 501944-43-0 ]

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

Computational Chemistry of [ 501944-43-0 ] Show Less

Physicochemical Properties

Num. heavy atoms 19
Num. arom. heavy atoms 12
Fraction Csp3 0.07
Num. rotatable bonds 4
Num. H-bond acceptors 4.0
Num. H-bond donors 2.0
Molar Refractivity 72.98
TPSA ?

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

66.76 Ų

Lipophilicity

Log Po/w (iLOGP)?

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

0.0
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

2.31
Log Po/w (WLOGP)?

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

0.82
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.

1.68
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

0.8
Consensus Log Po/w?

Consensus Log Po/w: Average of all five predictions

1.12

Water Solubility

Log S (ESOL):?

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

-3.09
Solubility 0.21 mg/ml ; 0.00082 mol/l
Class?

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

Soluble
Log S (Ali)?

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

-3.35
Solubility 0.114 mg/ml ; 0.000446 mol/l
Class?

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

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

-3.89
Solubility 0.0333 mg/ml ; 0.00013 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.

-6.22 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.

0.55

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

1.0 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<0.0
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)

2.13
 

Historical Records

Technical Information

• Acyl Group Substitution • Baeyer-Villiger Oxidation • Barbier Coupling Reaction • Baylis-Hillman Reaction • Benzylic Oxidation • Birch Reduction • Blanc Chloromethylation • Bouveault-Blanc Reduction • Bucherer-Bergs Reaction • Catalytic Hydrogenation • Clemmensen Reduction • Complex Metal Hydride Reductions • Corey-Bakshi-Shibata (CBS) Reduction • Corey-Chaykovsky Reaction • Ester Cleavage • Fischer Indole Synthesis • Friedel-Crafts Reaction • Grignard Reaction • Henry Nitroaldol Reaction • Horner-Wadsworth-Emmons Reaction • Hydride Reductions • Hydrogenolysis of Benzyl Ether • Lawesson's Reagent • Leuckart-Wallach Reaction • McMurry Coupling • Meerwein-Ponndorf-Verley Reduction • Passerini Reaction • Paternò-Büchi Reaction • Petasis Reaction • Peterson Olefination • Pictet-Spengler Tetrahydroisoquinoline Synthesis • Preparation of Aldehydes and Ketones • Preparation of Alkylbenzene • Preparation of Amines • Prins Reaction • Reactions of Aldehydes and Ketones • Reactions of Amines • Reactions of Benzene and Substituted Benzenes • Reactions with Organometallic Reagents • Reformatsky Reaction • Robinson Annulation • Schlosser Modification of the Wittig Reaction • Schmidt Reaction • Specialized Acylation Reagents-Carbodiimides and Related Reagents • Specialized Acylation Reagents-Ketenes • Stobbe Condensation • Tebbe Olefination • Ugi Reaction • Vilsmeier-Haack Reaction • Wittig Reaction • Wolff-Kishner Reduction

Categories

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