Computational Techniques for Analytical Chemistry and Bioanalysis

Saved in:
Bibliographic Details
Title: Computational Techniques for Analytical Chemistry and Bioanalysis
Description: As analysis, in terms of detection limits and technological innovation, in chemical and biological fields has developed so computational techniques have advanced enabling greater understanding of the data. Indeed, it is now possible to simulate spectral data to an excellent level of accuracy, allowing chemists and biologists access to robust and reliable analytical methodologies both experimentally and theoretically. This work will serve as a definitive overview of the field of computational simulation as applied to analytical chemistry and biology, drawing on recent advances as well as describing essential, established theory. Computational approaches provide additional depth to biochemical problems, as well as offering alternative explanations to atomic scale phenomena. Highlighting the innovative and wide-ranging breakthroughs made by leaders in computational spectrum prediction and the application of computational methodologies to analytical science, this book is for graduates and postgraduate researchers showing how computational analytical methods have become accessible across disciplines. Contributed chapters originate from a group of internationally-recognised leaders in the field, each applying computational techniques to develop our understanding of and supplement the data obtained from experimental analytical science.
Authors: Philippe B Wilson, Martin Grootveld
Resource Type: eBook.
Subjects: Analytical chemistry--Mathematical models, Analytical chemistry--Data processing, Analytical chemistry--Computer simulation
Categories: SCIENCE / Chemistry / Computational & Molecular Modeling, SCIENCE / Life Sciences / Biochemistry, SCIENCE / Chemistry / Analytic
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
  – Type: ebook-epub
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 2705683
RelevancyScore: 1103
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1103.19409179688
IllustrationInfo
ImageInfo – Size: thumb
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$2705683$PDF&s=r
– Size: medium
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$2705683$PDF&s=d
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Computational Techniques for Analytical Chemistry and Bioanalysis
– Name: Abstract
  Label: Description
  Group: Ab
  Data: As analysis, in terms of detection limits and technological innovation, in chemical and biological fields has developed so computational techniques have advanced enabling greater understanding of the data. Indeed, it is now possible to simulate spectral data to an excellent level of accuracy, allowing chemists and biologists access to robust and reliable analytical methodologies both experimentally and theoretically. This work will serve as a definitive overview of the field of computational simulation as applied to analytical chemistry and biology, drawing on recent advances as well as describing essential, established theory. Computational approaches provide additional depth to biochemical problems, as well as offering alternative explanations to atomic scale phenomena. Highlighting the innovative and wide-ranging breakthroughs made by leaders in computational spectrum prediction and the application of computational methodologies to analytical science, this book is for graduates and postgraduate researchers showing how computational analytical methods have become accessible across disciplines. Contributed chapters originate from a group of internationally-recognised leaders in the field, each applying computational techniques to develop our understanding of and supplement the data obtained from experimental analytical science.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Philippe+B+Wilson%22">Philippe B Wilson</searchLink><br /><searchLink fieldCode="AR" term="%22Martin+Grootveld%22">Martin Grootveld</searchLink>
– Name: TypePub
  Label: Resource Type
  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Analytical+chemistry--Mathematical+models%22">Analytical chemistry--Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Analytical+chemistry--Data+processing%22">Analytical chemistry--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Analytical+chemistry--Computer+simulation%22">Analytical chemistry--Computer simulation</searchLink>
– Name: SubjectBISAC
  Label: Categories
  Group: Su
  Data: <searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Chemistry+%2F+Computational+%26+Molecular+Modeling%22">SCIENCE / Chemistry / Computational & Molecular Modeling</searchLink><br /><searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Life+Sciences+%2F+Biochemistry%22">SCIENCE / Life Sciences / Biochemistry</searchLink><br /><searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Chemistry+%2F+Analytic%22">SCIENCE / Chemistry / Analytic</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=2705683
RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 543.0285
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Analytical chemistry--Mathematical models
        Type: general
      – SubjectFull: Analytical chemistry--Data processing
        Type: general
      – SubjectFull: Analytical chemistry--Computer simulation
        Type: general
    Titles:
      – TitleFull: Computational Techniques for Analytical Chemistry and Bioanalysis
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Philippe B Wilson
      – PersonEntity:
          Name:
            NameFull: Martin Grootveld
      – PersonEntity:
          Name:
            NameFull: Philippe B Wilson
      – PersonEntity:
          Name:
            NameFull: Martin Grootveld
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2021
            – D: 24
              M: 12
              Type: profile
              Y: 2020
          Identifiers:
            – Type: isbn-print
              Value: 9781788014618
            – Type: isbn-electronic
              Value: 9781788019859
            – Type: isbn-electronic
              Value: 9781788015882
          Numbering:
            – Type: volume
              Value: 00020
          Titles:
            – TitleFull: Computational Techniques for Analytical Chemistry and Bioanalysis
              Type: main
ResultId 1