Publication Date
9-24-2024
Document Type
Article
Organizational Units
Daniel Felix Ritchie School of Engineering and Computer Science, Electrical and Computer Engineering, Knoebel Institute for Healthy Aging
Keywords
Elliptical dichroism, Spectrometer, Stereochemical analysis, Tumor differentiation, Autocorrelation function, Density-functional theory, Molecular dynamics simulation
Abstract
This research introduces a novel method for evaluating the structural features of biomolecules, utilizing our innovative Elliptical Dichroism (ED) spectrometer specifically designed for stereochemical analysis. By integrating ED spectrometry with autocorrelation (AC) analysis, we investigate the conformational characteristics of biological molecules such as amino acids, proteins, and extracellular vesicles (EVs) induced by elliptically polarized UV absorption. Our streamlined approach offers a cost-effective and portable solution with minimal sample consumption and supports multiple working modes to efficiently characterize biomolecular structures. The insight from this new approach demonstrates potential applications in using biomolecular characterization for cancer detection.
Copyright Date
9-27-2024
Copyright Statement / License for Reuse
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Rights Holder
Yusuf Asad, Keerthi Priya Jangili, Amara Arshad, Maliha Elma, Komila Rasuleva, Alfred Akinlalu, Tommy Gao, Umamaheswara Rao Tida, Wenjie Xia, and Dali Sun
Provenance
Received from Elsevier
File Format
application/pdf
Language
English (eng)
Extent
14 pgs
File Size
2.95 MB
Publication Statement
Copyright is held by the Authors. User is responsible for all copyright compliance.
This article was originally published as
Asad, Y., Jangili, K. P., Arshad, A., Elma, M., Rasuleva, K., Akinlalu, A., Gao, T., Tida, U. R., Xia, W., & Sun, D. (2024). Characterizing Biomolecular Structure Features through an Innovative Elliptical Dichroism Spectrometry for Cancer Detection. Heliyon, 10, 19. https://doi.org/10.1016/j.heliyon.2024.e38399
Publication Title
Heliyon
Volume
10
Issue
19
First Page
e38399
ISSN
2405-8440
PubMed ID
39416845
Recommended Citation
Asad, Yusuf; Jangili, Keerthi Priya; Arshad, Amara; Elma, Maliha; Rasuleva, Komila; Akinlalu, Alfred; Gao, Tommy; Tida, Umamaheswara Rao; Xia, Wenjie; and Sun, Dali, "Characterizing Biomolecular Structure Features through an Innovative Elliptical Dichroism Spectrometry for Cancer Detection" (2024). Electrical and Computer Engineering: Faculty Scholarship. 55.
https://digitalcommons.du.edu/electrical_engineering_faculty/55
http://dx.doi.org/10.1016/j.heliyon.2024.e38399
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