LEADER 05270nam 2200469z- 450 001 9910166644903321 005 20210211 035 $a(CKB)3710000001092150 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/42254 035 $a(oapen)doab42254 035 $a(EXLCZ)993710000001092150 100 $a20202102d2016 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aBiomass Modification, Characterization and Process Monitoring Analytics to Support Biofuel and Biomaterial Production 210 $cFrontiers Media SA$d2016 215 $a1 online resource (156 p.) 225 1 $aFrontiers Research Topics 311 08$a2-88919-867-7 330 $aThe conversion of lignocellulosic biomass into renewable fuels and other commodities has provided an appealing alternative towards supplanting global dependence on fossil fuels. The suitability of multitudes of plants for deconstruction to useful precursor molecules and products is currently being evaluated. These studies have probed a variety of phenotypic traits, including cellulose, non-cellulosic polysaccharide, lignin, and lignin monomer composition, glucose and xylose production following enzymatic hydrolysis, and an assessment of lignin-carbohydrate and lignin-lignin linkages, to name a few. These quintessential traits can provide an assessment of biomass recalcitrance, enabling researchers to devise appropriate deconstruction strategies. Plants with high polysaccharide and lower lignin contents have been shown to breakdown to monomeric sugars more readily. Not all plants contain ideal proportions of the various cell wall constituents, however. The capabilities of biotechnology can alleviate this conundrum by tailoring the chemical composition of plants to be more favorable for conversion to sugars, fuels, etc. Increases in the total biomass yield, cellulose content, or conversion efficiency through, for example, a reduction in lignin content, are pathways being evaluated to genetically improve plants for use in manufacturing biofuels and bio-based chemicals. Although plants have been previously domesticated for food and fiber production, the collection of phenotypic traits prerequisite for biofuel production may necessitate new genetic breeding schemes. Given the plethora of potential plants available for exploration, rapid analytical methods are needed to more efficiently screen through the bulk of samples to hone in on which feedstocks contain the desired chemistry for subsequent conversion to valuable, renewable commodities. The standard methods for analyzing biomass and related intermediates and finished products are laborious, potentially toxic, and/or destructive. They may also necessitate a complex data analysis, significantly increasing the experimental time and add unwanted delays in process monitoring, where delays can incur in significant costs. Advances in thermochemical and spectroscopic techniques have enabled the screening of thousands of plants for different phenotypes, such as cell-wall cellulose, non-cellulosic polysaccharide, and lignin composition, lignin monomer composition, or monomeric sugar release. Some instrumental methods have been coupled with multivariate analysis, providing elegant chemometric predictive models enabling the accelerated identification of potential feedstocks. In addition to the use of high-throughput analytical methods for the characterization of feedstocks based on phenotypic metrics, rapid instrumental techniques have been developed for the real-time monitoring of diverse processes, such as the efficacy of a specific pretreatment strategy, or the formation of end products, such as biofuels and biomaterials. Real-time process monitoring techniques are needed for all stages of the feedstocks-to-biofuels conversion process in order to maximize efficiency and lower costs by monitoring and optimizing performance. These approaches allow researchers to adjust experimental conditions during, rather than at the conclusion, of a process, thereby decreasing overhead expenses. This Frontiers Research Topic explores options for the modification of biomass composition and the conversion of these feedstocks into to biofuels or biomaterials and the related innovations in methods for the analysis of the composition of plant biomass, and advances in assessing up- and downstream processes in real-time. Finally, a review of the computational models available for techno-economic modeling and lifecycle analysis will be presented. 606 $aBiotechnology$2bicssc 610 $aAgave 610 $aBiofuels 610 $abiomass 610 $ahigh-throughput 610 $aNIMS 610 $apretreatment 610 $aProteomics 610 $aRaman spectroscopy 610 $asugarcane 610 $atransgenic 615 7$aBiotechnology 700 $aBlake Simmons$4auth$01328936 702 $aJason Lupoi$4auth 702 $aRobert$b Henry$4auth 906 $aBOOK 912 $a9910166644903321 996 $aBiomass Modification, Characterization and Process Monitoring Analytics to Support Biofuel and Biomaterial Production$93039194 997 $aUNINA LEADER 01817nas 2200577-a 450 001 9910140336703321 005 20260106110359.0 035 $a(CKB)962824973173 035 $a(CONSER)sn-96034424- 035 $a(MiFhGG)497R 035 $a(MiFhGG)1ZXX 035 $ahttps://learn360.infobase.com/titles/150766?aid= 035 $a(EXLCZ)99962824973173 100 $a19920220a19909999 --- a 101 0 $aeng 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aCeramics : art and perception 210 1$aSydney, Australia :$cCeramics :$cArt and Perception, Pty. Ltd. 210 21$aNew Richmond, Wisconsin :$cSt. Croix Press, Inc. 210 31$aGulgong, NSW, Australia :$cManfield Ceramics Pty. Ltd. 215 $a1 online resource 300 $aRefereed/Peer-reviewed 300 $aTwo issues in 2020, but frequency given as quarterly. 311 08$aPrint version: Ceramics, art and perception. 1035-1841 (DLC)sn 96034424 (OCoLC)25308951 517 3 $aCeramics 517 1 $aCeramics art + perception 531 00$aCERAMICS 531 00$aCERAMICS, ART & PERCEPTION 531 1 $aCeramics 606 $aPottery$vPeriodicals 606 $aCeramics$vPeriodicals 606 $aCeramics$2fast$3(OCoLC)fst00851090 606 $aPottery$2fast$3(OCoLC)fst01073579 606 $aCéramique$2rasuqam 606 $aPoterie$2rasuqam 608 $aPeriodicals.$2aat 608 $aPeriodicals.$2fast 608 $aPeriodicals.$2lcgft 615 0$aPottery 615 0$aCeramics 615 7$aCeramics. 615 7$aPottery. 615 17$aCéramique. 615 17$aPoterie. 906 $aJOURNAL 912 $a9910140336703321 920 $aexl_impl conversion 996 $aCeramics, art and perception$91975107 997 $aUNINA LEADER 04891nam 22011654a 450 001 9910971853303321 005 20251017110101.0 010 $a9780309170369 010 $a0309170362 010 $a9780309509831 010 $a0309509831 035 $a(CKB)111069351124276 035 $a(SSID)ssj0000097454 035 $a(PQKBManifestationID)11113138 035 $a(PQKBTitleCode)TC0000097454 035 $a(PQKBWorkID)10113813 035 $a(PQKB)10567029 035 $a(MiAaPQ)EBC3375467 035 $a(Au-PeEL)EBL3375467 035 $a(CaPaEBR)ebr10038741 035 $a(OCoLC)923256578 035 $a(Perlego)4736500 035 $a(DNLM)1148957 035 $a(EXLCZ)99111069351124276 100 $a20010827d2001 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aAdolescent risk and vulnerability $econcepts and measurement /$fBaruch Fischhoff, Elena O. Nightingale, Joah G. Iannotta, editors 205 $a1st ed. 210 $aWashington $cNational Academy Press$dc2001 215 $a1 online resource (xi, 152 pages) $cillustrations 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9780309076203 311 08$a030907620X 320 $aIncludes bibliographical references. 327 $t1. Introduction: Adolescent risk and vulnerability: approaches to setting priorities to reduce their burden --$t2. Perceptions of risk and vulnerability /$rBaruch Fischhoff and Elena O. Nightingale --$t3. Vulnerability, risk, and protection /$rSusan G. Millstein and Bonnie L. Halpern-Felsher --$t4. Modeling the payoffs of interventions to reduce adolescent vulnerability /$rRobert William Blum, Clea McNeely, and James Nonnemaker --$t5. Adolescent vulnerability: measurement and priority setting /$rMartha R. Burt, Janine M. Zweig, and John Roman. 330 8 $aAnnotation$bThe Board on Children, Youth, and Families was created in 1993. Its Committee on Adolescent Health and Development studies issues facing young people and their families using analytic tools from the behavioral, social, and health sciences. Four papers from the Committee's March 2001 workshop, held in Washington, D.C., examine the beliefs underlying adolescents' decisions, present a framework for understanding the vulnerability of adolescents to undesirable outcomes, offer a model for estimating the economic payoffs for different types of policy actions designed to offset adolescent health risks, and discuss adolescents' concerns about their futures and well- being. This work lacks a subject index. Annotation c. 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