Identification of Large Isotope Anomalies in Quartz by Infrared Spectroscopy

Ryan C. Ogliore; Cosette Dwyer; Michael J. Krawczynski; Hélène Couvy; Max Eisele; Justin Filiberto

doi:10.1177/0003702819842558

Identification of Large Isotope Anomalies in Quartz by Infrared Spectroscopy

Ryan C. Ogliore, Cosette Dwyer, Michael J. Krawczynski, Hélène Couvy, Max Eisele, Justin Filiberto

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4 Scopus citations

Abstract

We report an infrared (IR) spectroscopic technique to detect quartz grains with large isotope anomalies. We synthesized isotopically doped quartz and used Fourier transform infrared spectroscopy (FT-IR) in two different instruments: a traditional far-field instrument and a neaSpec nanoFT-IR, to quantify the shift in the peak of the Si–O stretch near 780 cm⁻¹ as a function of isotope composition, and the uncertainty in this shift. From these measurements, we estimated the minimum detectable isotope anomaly using FT-IR. The described technique can be used to nondestructively detect very small (30 nm) presolar grains. In particular, supernova grains, which can have very large isotope anomalies, are detectable by this method.

Original language	English
Pages (from-to)	767-773
Number of pages	7
Journal	Applied Spectroscopy
Volume	73
Issue number	7
DOIs	https://doi.org/10.1177/0003702819842558
State	Published - Jul 1 2019

Keywords

Fourier transform infrared
FT-IR
infrared spectoscopy
isotope anomalies
near-field infrared spectoscopy
presolar grains
quartz

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10.1177/0003702819842558

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title = "Identification of Large Isotope Anomalies in Quartz by Infrared Spectroscopy",

abstract = "We report an infrared (IR) spectroscopic technique to detect quartz grains with large isotope anomalies. We synthesized isotopically doped quartz and used Fourier transform infrared spectroscopy (FT-IR) in two different instruments: a traditional far-field instrument and a neaSpec nanoFT-IR, to quantify the shift in the peak of the Si–O stretch near 780 cm−1 as a function of isotope composition, and the uncertainty in this shift. From these measurements, we estimated the minimum detectable isotope anomaly using FT-IR. The described technique can be used to nondestructively detect very small (30 nm) presolar grains. In particular, supernova grains, which can have very large isotope anomalies, are detectable by this method.",

keywords = "Fourier transform infrared, FT-IR, infrared spectoscopy, isotope anomalies, near-field infrared spectoscopy, presolar grains, quartz",

author = "Ogliore, \{Ryan C.\} and Cosette Dwyer and Krawczynski, \{Michael J.\} and H{\'e}l{\`e}ne Couvy and Max Eisele and Justin Filiberto",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2019.",

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doi = "10.1177/0003702819842558",

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TY - JOUR

T1 - Identification of Large Isotope Anomalies in Quartz by Infrared Spectroscopy

AU - Ogliore, Ryan C.

AU - Dwyer, Cosette

AU - Krawczynski, Michael J.

AU - Couvy, Hélène

AU - Eisele, Max

AU - Filiberto, Justin

N1 - Publisher Copyright: © The Author(s) 2019.

PY - 2019/7/1

Y1 - 2019/7/1

N2 - We report an infrared (IR) spectroscopic technique to detect quartz grains with large isotope anomalies. We synthesized isotopically doped quartz and used Fourier transform infrared spectroscopy (FT-IR) in two different instruments: a traditional far-field instrument and a neaSpec nanoFT-IR, to quantify the shift in the peak of the Si–O stretch near 780 cm−1 as a function of isotope composition, and the uncertainty in this shift. From these measurements, we estimated the minimum detectable isotope anomaly using FT-IR. The described technique can be used to nondestructively detect very small (30 nm) presolar grains. In particular, supernova grains, which can have very large isotope anomalies, are detectable by this method.

AB - We report an infrared (IR) spectroscopic technique to detect quartz grains with large isotope anomalies. We synthesized isotopically doped quartz and used Fourier transform infrared spectroscopy (FT-IR) in two different instruments: a traditional far-field instrument and a neaSpec nanoFT-IR, to quantify the shift in the peak of the Si–O stretch near 780 cm−1 as a function of isotope composition, and the uncertainty in this shift. From these measurements, we estimated the minimum detectable isotope anomaly using FT-IR. The described technique can be used to nondestructively detect very small (30 nm) presolar grains. In particular, supernova grains, which can have very large isotope anomalies, are detectable by this method.

KW - Fourier transform infrared

KW - FT-IR

KW - infrared spectoscopy

KW - isotope anomalies

KW - near-field infrared spectoscopy

KW - presolar grains

KW - quartz

UR - https://www.scopus.com/pages/publications/85066987127

U2 - 10.1177/0003702819842558

DO - 10.1177/0003702819842558

M3 - Article

C2 - 31107100

AN - SCOPUS:85066987127

SN - 0003-7028

VL - 73

SP - 767

EP - 773

JO - Applied Spectroscopy

JF - Applied Spectroscopy

IS - 7

ER -

Identification of Large Isotope Anomalies in Quartz by Infrared Spectroscopy

Abstract

Keywords

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