Amino Acids, Peptides, Proteins: Introduction

Total Page:16

File Type:pdf, Size:1020Kb

Amino Acids, Peptides, Proteins: Introduction Chem 109 C Bioorganic Compounds Fall 2019 HFH1104 Armen Zakarian Office: Chemistry Bldn 2217 http://labs.chem.ucsb.edu/~zakariangroup/courses.html CLAS Instructor: Dhillon Bhavan [email protected] Amino acids, Peptides, Proteins: Introduction Chapter 21 O R OH NH2 α-amino acid O O + H N R R R OH 2 R N - H2O H peptide bond = amide bond Proteins: Function 21.1 3 Proteins: Structural Histone Protein Structure: DNA packaging 4 Proteins: Protective botulinum toxin (botox) structure most toxic substance known LD50 = 10 ng/kg Amino acids, Peptides, Proteins: Introduction O O R O R O H R R OH R N OH N N OH H NH2 H NH2 O NH2 O R α-amino acid dipeptide tripeptide ! oligopeptide: 3 - 10 amino acids ! polypeptide, or protein: many amino acids Proteins: Amino Acids, Configuration NH2 HO O phenylalanine O + - NH3 natural amino acids C O +H N H same as - have the L configuration (S) 3 O2C R R Amino acids: Classification • Hydrophobic: “water-fearing”, nonpolar side chains – Alkyl side chain • Hydrophilic: “water-loving” side chains – Polar, neutral side chains – Anionic – Cationic - Table 21.1 lists 20 most common natural occurring amino acids - The structures of amino acids will be provided on the tests nonpolar side chains polar neutral (uncharged) side chains Amino acids: Classification polar acidic (anionic) side chains Amino acids: Classification polar basic (cationic) side chains Amino acids: Classification PROBLEM 1 Explain why when the imidazole ring of histidine is protonated, the double-bonded nitrogen is the nitrogen atom that accepts the proton. same for guanidine group in arginine. H NH N CO2H CO2H H2N N H NH2 N NH2 Amino acids: Zwitterions NH2 ! contain the amino group HO2C R NH2 ! contain the carboxylic acid group: HO2C R + + NH3 NH3 NH2 - - HO2C R O2C R O2C R a zwitterion pH = 0 pH = 7 pH = 11 Amino acids: Zwitterions pKa of amino acids: NH2 α HO2C R -amino: 8.84 - 10.60 pKa of the α-amino group is 9 NH2 carboxylic acid: 1.82 - 2.63 HO2C R pKa of the CO2H group is 2 Amino acids: Zwitterions pKa of side-chains: H NH O NH NH2 2 2 NH2 N HO HO OH HO HO SH OH N+ O O O O H O aspartic acid glutamic acid histidine cysteine pKa 3.86 pKa 4.25 pKa 6.04 pKa 8.35 OH NH NH2 NH2 2 H HO N NH HO HO + 2 NH3 O NH + O O 2 tyrosine lysine arginine pKa 10.07 pKa 10.79 pKa 12.48 Amino acids: Zwitterions Amino acids: Zwitterions PROBLEM 8 Draw the predominant form of glutamic acid in a solution with the following pH: a. 0 NH2 HO OH 4.25 O O b. 3 glutamic acid c. 6 d. 11 Amino acids: Zwitterions PROBLEM 8 Draw the predominant form of glutamic acid in a solution with the following pH: 9.67 a. 0 NH2 2.19 HO OH 4.25 O O b. 3 glutamic acid c. 6 d. 11 Amino acids: Isoelectric Point (pI) pI of amino acid is pH at which it has no net charge case 1: non-ionizing side chain Amino acids: Isoelectric Point (pI) pI of amino acid is pH at which it has no net charge 9.17 H + NH3 N 1.82 HO 6.04 N+ O H case 2: ionizable side chain (acidic or basic) average of pKa’s of similarly ionizing groups Amino acids: Separation/Purification " electrophoresis based on pI values of amino acids O OH visualized with ninhydrin: OH O buffer paper or gel arginine, alanine, and aspartate separated at pH = 5 Amino acids: Separation/Purification " paper/thin layer chromatography based on polarity O OH visualized with ninhydrin: OH O glutamate, alanine, and leucine Amino acids: Separation/Purification " ion-exchange chromatography based on ions/charge used on preparative scale washed with buffers of increasing pH packed with insoluble resin beads Amino acids: Separation/Purification Ion-exchange chromatography can be used to perform preparative separation of amino acids: Negatively charged resin binds selectively to positively charged amino acids Amino acids: Separation/Purification " ion-exchange chromatography A typical chromatogram obtained from separation of amino acids using an automated analyzer Amino acid synthesis: HVZ reaction Hell-Volhardt-Zelinski reaction, see Sections 17.5 and 9.2 1. Br2, PBr3 O 2. H O O 2 excess NH3 R R OH OH Br O R + NH4Br OH + NH3 note the source of side-chains.... Amino acid synthesis: reductive amination review Section 16.4 1. excess NH3 O O 2. H2, Pd/C R R OH O- + O NH3 O R OH NH intermediate note the source of side-chains.... Amino acid synthesis: N-phthalimidomalonic O O O O O H EtO EtO OEt N K EtO OEt Br O N O O α-bromomalonic ester potassium phthalimide N-phthalimidomalonic ester O O O O R HCl, H2O O R Br CO2H EtO OEt EtO OEt heat R OH CO2 N N O O O O + NH3 CO2H phthalic acid review Sections 15.4, 17.1, and 17.17 Amino acid synthesis: Strecker synthesis NH3 NaCN, HCl N R R R C + O NH NH3 -amino nitrile an imine α HCl, H2O O heat R OH + NH4Cl + NH3 review Section 15.15 for nitrile hydrolysis .
Recommended publications
  • Side-Chain Liquid Crystal Polymers (SCLCP): Methods and Materials. an Overview
    Materials 2009, 2, 95-128; doi:10.3390/ma2010095 OPEN ACCESS materials ISSN 1996-1944 www.mdpi.com/journal/materials Review Side-chain Liquid Crystal Polymers (SCLCP): Methods and Materials. An Overview Tomasz Ganicz * and Włodzimierz Stańczyk Centre of Molecular and Macromolecular Studies, Polish Academy of Science, Sienkiewicza 112, 90- 363 Łódź, Poland; E-Mail: [email protected] * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel. +48-42-684-71-13; Fax: +48-42-684-71-26 Received: 5 February 2009; in revised form: 3 March 2009 / Accepted: 9 March 2009 / Published: 11 March 2009 Abstract: This review focuses on recent developments in the chemistry of side chain liquid crystal polymers. It concentrates on current trends in synthetic methods and novel, well defined structures, supramolecular arrangements, properties, and applications. The review covers literature published in this century, apart from some areas, such as dendritic and elastomeric systems, which have been recently reviewed. Keywords: Liquid crystals, side chain polymers, polymer modification, polymer synthesis, self-assembly. 1. Introduction Over thirty years ago the work of Finkelmann and Ringsdorf [1,2] gave important momentum to synthesis of side chain liquid crystal polymers (SCLCPs), materials which combine the anisotropy of liquid crystalline mesogens with the mechanical properties of polymers. Although there were some earlier attempts [2], their approach of decoupling the motions of a polymer main chain from a mesogen, thus allowed side chain moieties to build up long range ordering (Figure 1). They were able to synthesize polymers with nematic, smectic and cholesteric phases via free radical polymerization of methacryloyl type monomers [3].
    [Show full text]
  • The Role of Side-Chain Branch Position on Thermal Property of Poly-3-Alkylthiophenes
    Polymer Chemistry The Role of Side-chain Branch Position on Thermal Property of Poly-3-alkylthiophenes Journal: Polymer Chemistry Manuscript ID PY-ART-07-2019-001026.R2 Article Type: Paper Date Submitted by the 02-Oct-2019 Author: Complete List of Authors: Gu, Xiaodan; University of Southern Mississippi, School of Polymer Science and Engineering Cao, Zhiqiang; University of Southern Mississippi, School of Polymer Science and Engineering Galuska, Luke; University of Southern Mississippi, School of Polymer Science and Engineering Qian, Zhiyuan; University of Southern Mississippi, School of Polymer Science and Engineering Zhang, Song; University of Southern Mississippi, School of Polymer Science and Engineering Huang, Lifeng; University of Southern Mississippi, School of Polymers and High Performance Materials Prine, Nathaniel; University of Southern Mississippi, School of Polymer Science and Engineering Li, Tianyu; Oak Ridge National Laboratory; University of Tennessee Knoxville He, Youjun; Oak Ridge National Laboratory Hong, Kunlun; Oak Ridge National Laboratory, Center for Nanophase Materials Science; Oak Ridge National Laboratory, Center for Nanophase Materials Science Page 1 of 13 PleasePolymer do not Chemistryadjust margins ARTICLE The Role of Side-chain Branch Position on Thermal Property of Poly-3-alkylthiophenes Received 00th January 20xx, a a a a a a Accepted 00th January 20xx Zhiqiang Cao, Luke Galuska, Zhiyuan Qian, Song Zhang, Lifeng Huang, Nathaniel Prine, Tianyu Li,b, c Youjun He,b Kunlun Hong,*b, c and Xiaodan Gu*a DOI: 10.1039/x0xx00000x Thermomechanical properties of conjugated polymers (CPs) are greatly influenced by both their microstructures and backbone structures. In the present work, to investigate the effect of side-chain branch position on the backbone’s mobility and molecular packing structure, four poly (3-alkylthiophene-2, 5-diyl) derivatives (P3ATs) with different side chains, either branched and linear, were synthesized by a quasi-living Kumada catalyst transfer polymerization (KCTP) method.
    [Show full text]
  • Improved Prediction of Protein Side-Chain Conformations with SCWRL4 Georgii G
    proteins STRUCTURE O FUNCTION O BIOINFORMATICS Improved prediction of protein side-chain conformations with SCWRL4 Georgii G. Krivov,1,2 Maxim V. Shapovalov,1 and Roland L. Dunbrack Jr.1* 1 Institute for Cancer Research, Fox Chase Cancer Center, 333 Cottman Avenue, Philadelphia, Pennsylvania 19111 2 Department of Applied Mathematics, Moscow Engineering Physics Institute (MEPhI), Kashirskoe Shosse 31, Moscow 115409, Russian Federation INTRODUCTION ABSTRACT The side-chain conformation prediction problem is an integral Determination of side-chain conformations is an component of protein structure determination, protein structure important step in protein structure prediction and protein design. Many such methods have prediction, and protein design. In single-site mutants and in closely been presented, although only a small number related proteins, the backbone often changes little and structure pre- 1 are in widespread use. SCWRL is one such diction can be accomplished by accurate side-chain prediction. In method, and the SCWRL3 program (2003) has docking of ligands and other proteins, taking into account changes remained popular because of its speed, accuracy, in side-chain conformation is often critical to accurate structure pre- and ease-of-use for the purpose of homology dictions of complexes.2–4 Even in methods that take account of modeling. However, higher accuracy at compara- changes in backbone conformation, one step in the process is recal- ble speed is desirable. This has been achieved in culation of side-chain conformation or ‘‘repacking.’’5 Because many a new program SCWRL4 through: (1) a new backbone conformations may be sampled in model refinements, backbone-dependent rotamer library based on side-chain prediction must also be very fast.
    [Show full text]
  • Molecular Modelling Virtual Chemistry Resource Pymol Experiment Answer Sheet Well Done for Completing Our Pymol Experiment! We Really Hope You Enjoyed It!
    #Outtheboxthinking Faculty of Natural & Mathematical Sciences Department of Chemistry Molecular Modelling Virtual Chemistry Resource PyMol Experiment Answer Sheet Well done for completing our PyMol experiment! We really hope you enjoyed it! Please make sure you have completed our post experiment questionnaire. https://kings.onlinesurveys.ac.uk/post-questionnaire-for-outtheboxthinking-resources Send us photos, comments, or thoughts to either our twitter or Instagram accounts using the hashtag #outtheboxthinking. We also encourage you to make a poster of your data and email it to us. Exploring how proteins are formed Press “Amino Acid” Q. What is the R group in the side chain of this amino acid? CH3- Methyl Group Q. Which amino acid is shown here? Alanine Press the button “ALA_ASP” and an additional amino acid will appear Q. What is the chemical formula of the side chain of the new amino acid? CH2COOH Q. What is the name of the second, new amino acid? Aspartic Acid or Aspartate Press the button “Bonded_Ala_Asp” Q. What colour(s) is the amide bond connecting the two amino acids? Blue and green. It is important to highlight the bond between the nitrogen of one amino acid and the carbonyl of the second amino acid and not any other bond (Figure 1). Figure 1: Arrow points to the amide bond formed between two amino acids. Page 1 of 8 Instagram: kclchemoutreach #outtheboxthinking Q. Which elements have been lost from each amino acid following their bonding? Amino acid 1:: Alanine has lost an oxygen and a hydrogen Amino acid 2: Aspartic Acid has lost a hydrogen If you are unsure why this is correct look at figure 2 and open the PyMol document again to visualise the bonding Figure 2: Reaction scheme for amino acid bonding, resulting in the formation of an amide bond and the loss of water.
    [Show full text]
  • Amino Acid Recognition by Aminoacyl-Trna Synthetases
    www.nature.com/scientificreports OPEN The structural basis of the genetic code: amino acid recognition by aminoacyl‑tRNA synthetases Florian Kaiser1,2,4*, Sarah Krautwurst3,4, Sebastian Salentin1, V. Joachim Haupt1,2, Christoph Leberecht3, Sebastian Bittrich3, Dirk Labudde3 & Michael Schroeder1 Storage and directed transfer of information is the key requirement for the development of life. Yet any information stored on our genes is useless without its correct interpretation. The genetic code defnes the rule set to decode this information. Aminoacyl-tRNA synthetases are at the heart of this process. We extensively characterize how these enzymes distinguish all natural amino acids based on the computational analysis of crystallographic structure data. The results of this meta-analysis show that the correct read-out of genetic information is a delicate interplay between the composition of the binding site, non-covalent interactions, error correction mechanisms, and steric efects. One of the most profound open questions in biology is how the genetic code was established. While proteins are encoded by nucleic acid blueprints, decoding this information in turn requires proteins. Te emergence of this self-referencing system poses a chicken-or-egg dilemma and its origin is still heavily debated 1,2. Aminoacyl-tRNA synthetases (aaRSs) implement the correct assignment of amino acids to their codons and are thus inherently connected to the emergence of genetic coding. Tese enzymes link tRNA molecules with their amino acid cargo and are consequently vital for protein biosynthesis. Beside the correct recognition of tRNA features3, highly specifc non-covalent interactions in the binding sites of aaRSs are required to correctly detect the designated amino acid4–7 and to prevent errors in biosynthesis5,8.
    [Show full text]
  • 2. Proteins Have Hierarchies of Structure
    27 2. Proteins have Hierarchies of Structure Protein structure is usually described at four different levels (Fig. II.2.1). The first level, called the primary structure, describes the linear sequence of the amino acids in the chain. The different primary structures correspond to the different sequences in which the amino acids are covalently linked together. The secondary structure describes two common patterns of structural repetition in proteins: the coiling up into helices of segments of the chain, and the pairing together of strands of the chain into β-sheets. The tertiary structure is the next higher level of organization, the overall arrangement of secondary structural elements. The quaternary structure describes how different polypeptide chains are assembled into complexes. Figure II.2.1. Different levels of protein structure. A protein chain’s primary structure is its amino acid sequence. Secondary structure consists of the regular organization of helices and sheets. The example shown is a schematic representation of an α helix. Tertiary structure is a polypeptide chain’s three- dimensional native conformation, which often involves compact packing of secondary structure elements. The example given in the figure is a schematic drawing of one of the four polypeptide chains (subunits) of hemoglobin, the protein that transports oxygen in the blood. α-helices along the chain are represented as cylinders. N is the amino terminus and C is the carboxyl terminus of the polypeptide chain. Quaternary structure is the arrangement of multiple polypeptide chains (subunits) to form a functional biomolecular structure. The figure shows the quaternary arrangement of four subunits to form the functional hemoglobin molecule.
    [Show full text]
  • Downloaded from the National This Genus-Wide Comparative Analysis Determined That Center for Biotechnology Information Database (NCBI) Gastric Helicobacter Spp
    Mannion et al. BMC Genomics (2018) 19:830 https://doi.org/10.1186/s12864-018-5171-2 RESEARCHARTICLE Open Access Comparative genomics analysis to differentiate metabolic and virulence gene potential in gastric versus enterohepatic Helicobacter species Anthony Mannion*, Zeli Shen and James G. Fox Abstract Background: The genus Helicobacter are gram-negative, microaerobic, flagellated, mucus-inhabiting bacteria associated with gastrointestinal inflammation and classified as gastric or enterohepatic Helicobacter species (EHS) according to host species and colonization niche. While there are over 30 official species, little is known about the physiology and pathogenic mechanisms of EHS, which account for most in the genus, as well as what genetic factors differentiate gastric versus EHS, given they inhabit different hosts and colonization niches. The objective of this study was to perform a whole-genus comparative analysis of over 100 gastric versus EHS genomes in order to identify genetic determinants that distinguish these Helicobacter species and provide insights about their evolution/ adaptation to different hosts, colonization niches, and mechanisms of virulence. Results: Whole-genome phylogeny organized Helicobacter species according to their presumed gastric or EHS classification. Analysis of orthologs revealed substantial heterogeneity in physiological and virulence-related genes between gastric and EHS genomes. Metabolic reconstruction predicted that unlike gastric species, EHS appear asaccharolytic and dependent on amino/organic acids to fuel metabolism. Additionally, gastric species lack de novo biosynthetic pathways for several amino acids and purines found in EHS and instead rely on environmental uptake/ salvage pathways. Comparison of virulence factor genes between gastric and EHS genomes identified overlapping yet distinct profiles and included canonical cytotoxins, outer membrane proteins, secretion systems, and survival factors.
    [Show full text]
  • The Role of Amino Acids in Liver Protein Metabolism Under a High Protein Diet
    The role of amino acids in liver protein metabolism under a high protein diet : identification of amino acids signal and associated transduction pathways Nattida Chotechuang To cite this version: Nattida Chotechuang. The role of amino acids in liver protein metabolism under a high protein diet : identification of amino acids signal and associated transduction pathways. Food and Nutrition. AgroParisTech, 2010. English. NNT : 2010AGPT0026. pastel-00610998 HAL Id: pastel-00610998 https://pastel.archives-ouvertes.fr/pastel-00610998 Submitted on 25 Jul 2011 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. N° /__/__/__/__/__/__/__/__/__/__/ T H E S I S submitted to obtain the degree of Doctor of Philosophy at L’Institut des Sciences et Industries du Vivant et de l’Environnement (AgroParisTech) Speciality: Nutrition Science Presented and defended in public by Nattida CHOTECHUANG on 22nd March 2010 THE ROLE OF AMINO ACIDS IN LIVER PROTEIN METABOLISM UNDER A HIGH PROTEIN DIET: IDENTIFICATION OF AMINO ACIDS SIGNAL AND ASSOCIATED TRANSDUCTION PATHWAYS Thesis director: Daniel TOMÉ Thesis co-director: Dalila AZZOUT-MARNICHE AgroParisTech, UMR914 Nutrition Physiology and Ingestive Behaviour, F-75005 Paris to the jury: Mr.
    [Show full text]
  • Prediction of Amino Acid Side Chain Conformation Using a Deep Neural
    Prediction of amino acid side chain conformation using a deep neural network Ke Liu 1, Xiangyan Sun3, Jun Ma3, Zhenyu Zhou3, Qilin Dong4, Shengwen Peng3, Junqiu Wu3, Suocheng Tan3, Günter Blobel2, and Jie Fan1, Corresponding author details: Jie Fan, Accutar Biotechnology, 760 Parkside Ave, Room 213 Brooklyn, NY 11226, USA. [email protected] 1. Accutar Biotechnology, 760 parkside Ave, Room 213, Brooklyn, NY 11226, USA. 2. Laboratory of Cell Biology, Howard Hughes Medical Institute, The Rockefeller University, New York, New York 10065, USA 3. Accutar Biotechnology (Shanghai) Room 307, No. 6 Building, 898 Halei Rd, Shanghai, China 4. Fudan University 220 Handan Rd, Shanghai, China Summary: A deep neural network based architecture was constructed to predict amino acid side chain conformation with unprecedented accuracy. Amino acid side chain conformation prediction is essential for protein homology modeling and protein design. Current widely-adopted methods use physics-based energy functions to evaluate side chain conformation. Here, using a deep neural network architecture without physics-based assumptions, we have demonstrated that side chain conformation prediction accuracy can be improved by more than 25%, especially for aromatic residues compared with current standard methods. More strikingly, the prediction method presented here is robust enough to identify individual conformational outliers from high resolution structures in a protein data bank without providing its structural factors. We envisage that our amino acid side chain predictor could be used as a quality check step for future protein structure model validation and many other potential applications such as side chain assignment in Cryo-electron microscopy, crystallography model auto-building, protein folding and small molecule ligand docking.
    [Show full text]
  • 6 Synthesis of N-Alkyl Amino Acids Luigi Aurelio and Andrew B
    j245 6 Synthesis of N-Alkyl Amino Acids Luigi Aurelio and Andrew B. Hughes 6.1 Introduction Among the numerous reactions of nonribosomal peptide synthesis, N-methylation of amino acids is one of the common motifs. Consequently, the chemical research community interested in peptide synthesis and peptide modification has generated a sizeable body of literature focused on the synthesis of N-methyl amino acids (NMA). That literature is summarized herein. Alkyl groups substituted on to nitrogen larger than methyl are exceedingly rare among natural products. However, medicinal chemistry programs and peptide drug development projects are not limited to N-methylation. While being a much smaller body of research, there is a range of methods for the N-alkylation of amino acids and those reports are also covered in this chapter. The literature on N-alkyl, primarily N-methyl amino acids comes about due to the useful properties that the N-methyl group confers on peptides. N-Methylation increases lipophilicity, which has the effect of increasing solubility in nonaqueous solvents and improving membrane permeability. On balance this makes peptides more bioavailable and makes them better therapeutic candidates. One potential disadvantage is the methyl group removes the possibility of hydro- gen bonding and so binding events may be discouraged. It is notable though that the N-methyl group does not fundamentally alter the identity of the amino acid. Some medicinal chemists have taken advantage of this fact to deliberately discourage binding of certain peptides that can still participate in the general or partial chemistry of a peptide. A series of recent papers relating to Alzheimers disease by Doig et al.
    [Show full text]
  • Lecture 11 - Biosynthesis of Amino Acids
    Lecture 11 - Biosynthesis of Amino Acids Chem 454: Regulatory Mechanisms in Biochemistry University of Wisconsin-Eau Claire 1 Introduction Biosynthetic pathways for amino acids, Text nucleotides and lipids are very old Biosynthetic (anabolic) pathways share common intermediates with the degradative (catabolic) pathways. The amino acids are the building blocks for proteins and other nitrogen-containing compounds 2 2 Introduction Nitrogen Fixation Text Reducing atmospheric N2 to NH3 Amino acid biosynthesis pathways Regulation of amino acid biosynthesis. Amino acids as precursors to other biological molecules. e.g., Nucleotides and porphoryns 3 3 Introduction Nitrogen fixation is carried out by a few Text select anaerobic micororganisms The carbon backbones for amino acids come from glycolysis, the citric acid cycle and the pentose phosphate pathway. The L–stereochemistry is enforced by transamination of α–keto acids 4 4 1. Nitrogen Fixation Microorganisms use ATP and ferredoxin to Text reduce atmospheric nitrogen to ammonia. 60% of nitrogen fixation is done by these microorganisms 15% of nitrogen fixation is done by lighting and UV radiation. 25% by industrial processes Fritz Habers (500°C, 300!atm) N2 + 3 H2 2 N2 5 5 1. Nitrogen Fixation Enzyme has both a reductase and a Text nitrogenase activity. 6 6 1.1 The Reductase (Fe protein) Contains a 4Fe-4S Text center Hydrolysis of ATP causes a conformational change that aids the transfer of the electrons to the nitrogenase domain (MoFe protein) 7 7 1.1 The Nitrogenase (MoFe Protein) The nitrogenase Text component is an α2β2 tetramer (240#kD) Electrons enter the P-cluster 8 8 1.1 The Nitrogenase (MoFe Protein) An Iron-Molybdenum cofactor for the Text nitrogenase binds and reduces the atmospheric nitrogen.
    [Show full text]
  • Effect of Side Chain Substituent Volume on Thermoelectric Properties of IDT-Based Conjugated Polymers
    molecules Article Effect of Side Chain Substituent Volume on Thermoelectric Properties of IDT-Based Conjugated Polymers De-Xun Xie 1,2, Tong-Chao Liu 3, Jing Xiao 1,2, Jing-Kun Fang 4,* , Cheng-Jun Pan 3 and Guang Shao 1,2,* 1 School of Chemistry, Sun Yat-sen University, Guangzhou 510275, China; [email protected] (D.-X.X.); [email protected] (J.X.) 2 Shenzhen Research Institute, Sun Yat-sen University, Shenzhen 518057, China 3 Shenzhen Key Laboratory of Polymer Science and Technology, College of Materials Science and Engineering, Shenzhen University, Shenzhen 518060, China; [email protected] (T.-C.L.); [email protected] (C.-J.P.) 4 School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China * Correspondence: [email protected] (J.-K.F.); [email protected] (G.S.) Abstract: A p-type thermoelectric conjugated polymer based on indacenodithiophene and benzoth- iadiazole is designed and synthesized by replacing normal aliphatic side chains (P1) with conjugated aromatic benzene substituents (P2). The introduced bulky substituent on P2 is detrimental to form the intensified packing of polymers, therefore, it hinders the efficient transporting of the charge carriers, eventually resulting in a lower conductivity compared to that of the polymers bearing aliphatic side chains (P1). These results reveal that the modification of side chains on conjugated polymers is crucial to rationally designed thermoelectric polymers with high performance. Keywords: organic thermoelectric materials; conjugated polymers; power factor Citation: Xie, D.-X.; Liu, T.-C.; Xiao, J.; Fang, J.-K.; Pan, C.-J.; Shao, G. Effect of Side Chain Substituent Volume on 1.
    [Show full text]