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Chemical Structure| 100125-12-0 Chemical Structure| 100125-12-0

Structure of 100125-12-0

Chemical Structure| 100125-12-0

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CAS No.: 100125-12-0

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Shao-Xiong Lennon Luo ; Timothy M. Swager ;

Abstract: Elevated levels of ammonia in breath can be linked to medical complications, such as chronic kidney disease (CKD), that disturb the urea balance in the body. However, early stage CKD is usually asymptomatic, and mass screening is hindered by high instrumentation and operation requirements and accessible and reliable detection methods for CKD biomarkers, such as trace ammonia in breath. Enabling methods would have significance in population screening for early stage CKD patients. We herein report a method to effectively immobilize selectors in close proximity to a single-walled carbon nanotube (SWCNT) surface using pentiptycene containing metal-chelating backbone structures. The robust and modular nature of the pentiptycene metallopolymer/SWCNT complexes creates a platform that accelerates sensor discovery and optimization. Using these methods, we have identified sensitive, selective, and robust copper-based chemiresistive ammonia sensors that display low parts per billion detection limits. We have added these hybrid materials to the resonant radio frequency circuits of commercial near-field communication (NFC) tags to achieve robust wireless detection of ammonia at physiologically relevant levels. The integrated devices offer a noninvasive and cost-effective approach for early detection and monitoring of CKD.

Keywords: ammonia sensing ; chronic kidney disease ; carbon nanotubes ; conjugated polymers ; wireless sensing

Purchased from AmBeed: ; ; ;

Shao-Xiong Lennon Luo ;

Abstract: This thesis highlights strategies for fiinctionalizing carbon nanomaterials with reactive metaspecies for applications in chemical sensing and electrocatalysis. In Chapter 1, we begin with anintroduction of chemiresistive sensing using functionalized carbon nanotubes (CNTs). Thisintroduction summarizes the design, fabrication, characterization, and evaluation of carbonnanotube-based chemiresistive sensors. Potential strategies for optimizing sensitivity andselectivity are also discussed. Typical applications of'CNT-based chemiresistive sensing are alsosurveyed. In Chapter 2, we report the synthesis of Pentiptycene Polymer/Single-Walled CarbonNanotube Complexes and their applications in the selective detection of benzene, toluene, and o.xylene using chemiresistive and quartz crystal microbalance-based methods. In Chapter 3. wereport a method to efiectively immobilize transition metal selectors in close proximity to theS WCN'T surface using pentiptycene polymers containing metal-chelating backbone structures. Wehave identified sensitive, selective, and robust copper-based chemiresistive ammonia sensorsdisplaying low parts per billion detection limits. We have added these hybrid materials into theresonant radio firequency circuits of commercial near-field communication (NFC) tags to achievewireless detection ofammonia at physiologically relevant levels, offering a non-invasive and cost.efiective approach for early detection and monitoring of chronic kidney diseases. In Chapter 4we report that iptycene-containing poly(arylene ether)s (PAEs) show to limit the palladiumnanoparticles (Pd NPs) growth and stabilize the Pd NPs dispersion. SWCNT-based chemiresistorsand graphene field-efect transistors (GFETs)using these PAE-supported small Pd NPs aresensitive, selective, and robust sensory materials for hydrogen gas under ambient conditions. InChapter 5, we describe chemiresistors based on SWCNTs containing small and highly reactivecopper-based nanoparticles in sulfonated pentiptycene poly(arylene ether)s (PAEs). The sensorsshow exceptional sensitivity to trace hydrogen sulfide in wet air with a low-ppb detection limithigh selectivity over a wide range of interferants, and month-long stability under ambientconditions. In Chapter 6, we report a SWCNT-based chemiresistor catalyst combination that candetect ppb levels of' ethylene in air, driven by the chemoselectivity ofthe catalytic transformationThe utility of this ethylene sensor is demonstrated in the monitoring of senescence in red carnationsand purple lisianthus flowers.In Chapter 7, we report SWCNT-based chemiresistive sensorsbased on a catalytic system comprising a copper complex and TEMPO cocatalyst, enabling thesensitive, selective, and robust detection of trace ethanol in air. In Chapter 8, we report thesynthesis of carbon-nanomaterial-based metal chelates that enable effective electronic coupling toelectrocatalytic transition metals. The defined ligands on the graphene surfaces enable theformation of structurally precise heterogeneous molecular catalysts. We demonstrate that thedensely functionalized metal-chelated carbon nanomaterials are eliective heterogeneous catalystsin the oxygen evolution reaction with low overpotentials and tunable catalytic activity.

Purchased from AmBeed: ; ; ;

Alternative Products

Product Details of [ 100125-12-0 ]

CAS No. :100125-12-0
Formula : C12H6Br2N2
M.W : 338.00
SMILES Code : BrC3=CC2=CC=C1C=C(C=NC1=C2N=C3)Br
MDL No. :MFCD09909860
InChI Key :IDWJREBUVYSPKS-UHFFFAOYSA-N
Pubchem ID :10991348

Safety of [ 100125-12-0 ]

GHS Pictogram:
Signal Word:Warning
Hazard Statements:H302-H315-H319-H332-H335
Precautionary Statements:P261-P280-P305+P351+P338

Computational Chemistry of [ 100125-12-0 ] Show Less

Physicochemical Properties

Num. heavy atoms 16
Num. arom. heavy atoms 14
Fraction Csp3 0.0
Num. rotatable bonds 0
Num. H-bond acceptors 2.0
Num. H-bond donors 0.0
Molar Refractivity 72.44
TPSA ?

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

25.78 ?2

Lipophilicity

Log Po/w (iLOGP)?

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

2.5
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

3.84
Log Po/w (WLOGP)?

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

4.31
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.

3.19
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

4.26
Consensus Log Po/w?

Consensus Log Po/w: Average of all five predictions

3.62

Water Solubility

Log S (ESOL):?

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

-5.0
Solubility 0.00336 mg/ml ; 0.00000995 mol/l
Class?

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

Moderately soluble
Log S (Ali)?

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

-4.08
Solubility 0.0283 mg/ml ; 0.0000837 mol/l
Class?

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

Moderately 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

-6.68
Solubility 0.0000713 mg/ml ; 0.000000211 mol/l
Class?

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

Poorly 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

 Yes
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

 Yes
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

 Yes
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

 Yes
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.

-5.64 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<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)

 1.72

Application In Synthesis of [ 100125-12-0 ]

* All experimental methods are cited from the reference, please refer to the original source for details. We do not guarantee the accuracy of the content in the reference.

  • Downstream synthetic route of [ 100125-12-0 ]

[ 100125-12-0 ] Synthesis Path-Downstream   1~4

  • 1
  • [ 3829-86-5 ]
  • [ 66127-01-3 ]
  • [ 100125-12-0 ]
  • 2
  • [ 100125-12-0 ]
  • [ 16932-45-9 ]
  • [ 320573-11-3 ]
  • 3
  • [ 66-71-7 ]
  • [ 66127-01-3 ]
  • [ 100125-12-0 ]
  • 4
  • [ 100125-12-0 ]
  • [ 133997-05-4 ]
  • 3,8-bis-(4-octyl-phenyl)-[1,10]phenanthroline [ No CAS ]
 

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