Diffuser-Supported Hyperspectral Near-Infrared Measurement for Sensitivity Enhancement in Analysis of Diverse Thin Sheet Samples
- Authors
- Jeong, Haeseong; Cho, Jiwoo; Kim, Jaejin; Chung, Hoeil
- Issue Date
- May-2025
- Publisher
- American Chemical Society
- Citation
- Analytical Chemistry, v.97, no.20, pp 10877 - 10885
- Pages
- 9
- Indexed
- SCIE
SCOPUS
- Journal Title
- Analytical Chemistry
- Volume
- 97
- Number
- 20
- Start Page
- 10877
- End Page
- 10885
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/207505
- DOI
- 10.1021/acs.analchem.5c01349
- ISSN
- 0003-2700
1520-6882
- Abstract
- A diffuser-supported hyperspectral near-infrared (DS-HS-NIR) measurement scheme in which a Teflon plate as a photon diffuser was placed beneath a thin sheet sample for trans-reflectance spectral acquisition was proposed to enhance the peak intensity (sensitivity) of the sample. The scheme was to increase the number of sample-interacting photons by generating diffused photons using a Teflon (diffuser) and directing them toward a spectroscopic sampling area to additionally interact with a sample, increasing the intensity of the subsequent peak. When the weighing paper, plastic gloves, and mesh fabric sheets (thickness: 20-230 mu m) were measured using a conventional scheme without using the diffuser, peaks corresponding to the sheet samples were difficult to recognize; with the diffuser, they were apparent with enhanced intensity. Furthermore, the increased number of sample-interacting photons when using the diffuser was confirmed by a Monte Carlo simulation. Next, to evaluate its real usage, we attempted to determine the crude protein contents in dried laver sheets (thickness: 210-480 mu m). When the diffuser was employed, peaks centered at 1181 and 1461 nm corresponding to the organic constituents of laver sheets were distinct; these peaks were not observed in the measurement without a diffuser. Due to the peaks with enhanced intensity, the determined crude protein contents were well correlated with those based on conventional Kjeldahl analysis.
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