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{ "item_title" : "Mass Spectrometry by the Numbers", "item_author" : [" Daniel Leo Sweeney "], "item_description" : "The most common approach for identifying unknown analytes using mass spectrometry combines fragmentation rules with circular reasoning - working backwards from the answer. But you no longer have to work backwards from the answer. Using this new Rational Numbers Excel Add-In described in this book and accurate-mass fragmentation data, the mathematical and graphical powers of Excel can be directly applied to analyzing mass spectral data obtained using LCMS. This Excel Add-In is designed to help identify small molecules from less-than-perfect mass spectral data. All data must be accurate mass fragmentation data with a minimum accuracy of +/- 5 mDa, which has become common recently. This book is not concerned with the technical or experimental aspects of ion formation, mass selection or mass measurement; it deals primarily with the analysis of accurate mass fragmentation data of to identify small molecules . In this book, there are no fragmentation rules, chemical drawings of hypothetical fragment ions, or quantum mechanics. This book is basically the author's perspective about a new tool that can help chemists, not just mass spectrometrists, to identify analytes quickly from LCMS data generated using electrospray ionization.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/864/074/9798640748734_b.jpg", "price_data" : { "retail_price" : "39.95", "online_price" : "39.95", "our_price" : "39.95", "club_price" : "39.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Mass Spectrometry by the Numbers|Daniel Leo Sweeney

Mass Spectrometry by the Numbers : Identifying Small Molecules from Accurate-Mass Fragmentation Data

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Overview

The most common approach for identifying unknown analytes using mass spectrometry combines fragmentation rules with circular reasoning - working backwards from the answer. But you no longer have to work backwards from the answer. Using this new Rational Numbers Excel Add-In described in this book and accurate-mass fragmentation data, the mathematical and graphical powers of Excel can be directly applied to analyzing mass spectral data obtained using LCMS. This Excel Add-In is designed to help identify small molecules from less-than-perfect mass spectral data. All data must be accurate mass fragmentation data with a minimum accuracy of +/- 5 mDa, which has become common recently. This book is not concerned with the technical or experimental aspects of ion formation, mass selection or mass measurement; it deals primarily with the analysis of accurate mass fragmentation data of to identify small molecules . In this book, there are no fragmentation rules, chemical drawings of hypothetical fragment ions, or quantum mechanics. This book is basically the author's perspective about a new tool that can help chemists, not just mass spectrometrists, to identify analytes quickly from LCMS data generated using electrospray ionization.

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Details

  • ISBN-13: 9798640748734
  • ISBN-10: 9798640748734
  • Publisher: Independently Published
  • Publish Date: May 2020
  • Dimensions: 10 x 7.99 x 0.46 inches
  • Shipping Weight: 1.09 pounds
  • Page Count: 176

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