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Computational Investigation of Isotopic Labeling (Record no. 45305)

MARC details
000 -LEADER
fixed length control field 02317nam a22002057a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240117111558.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240116b ||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
ISSN 0021-9584
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Pelter, Michael W.
245 ## - TITLE STATEMENT
Title Computational Investigation of Isotopic Labeling
Remainder of title : A Pandemic Inspired Activity (Journal Article)
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Washington DC
Name of publisher : American Chemical Society
Year of publication , 2023
300 ## - PHYSICAL DESCRIPTION
Number of Pages 3677–3682p.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Journal of Chemical Society
Volume number/sequential designation , Volume 100: Number 9, September 2023
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note ***______{For Hard Copy, Please visit Library.}________***<br/><br/>
520 ## - SUMMARY, ETC.
Summary, etc Abstract: A cornerstone activity in undergraduate organic laboratories revolves around students running instrumental analysis on their products and interpreting their spectra. They are left to link the theory they have learned in lecture to practical spectral interpretation. Students often memorize benchmark interpretations of peaks, such as the broad alcohol absorbance in infrared spectroscopy (IR). However, students often do not correlate the absorbance frequency to the actual vibrational mode. Given more nuanced spectra to interpret, like the difference between a hydrogen and a deuterium on an alcohol, students often miss the differences between the spectra. The GAMESS computational software package accessed through the Web interface ChemCompute is successfully used by students here to generate IR spectra of different isotopically labeled alcohols. This Web-based portal provides multiple benefits to the students: (1) The computational software is accessible through any browser on most common operating systems (including Chromebooks), (2) generating IR spectra for multiple products allows students to predict differences in spectra to compare to their actual IR data reinforcing prediction in the scientific method, and (3) the software links the differences in isotopes to structural vibrational modes visualized in the software allowing students to link theory to practice in spectral interpretation.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Organic Chemistry| Inquiry-Based Discovery Learning| Computational Chemistry| IR Spectroscopy| Isotopes
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Pelter, Libbie S. W. | Dinga, Phillip I. | Ernst, Nicholas E. | Schultz, Madison L.
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1021/acs.jchemed.3c00115
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Periodicals
Holdings
Lost status Damaged status Home library Current library Date acquired Koha item type
    RIE BPL Library RIE BPL Library 17.01.2024 Periodicals

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