JOURNAL ARTICLE
Comprehensive nonlinear optical characterization of otolith crystals from Pomadasys maculatus for laser applications.
Published In: Journal of Nonlinear Optical Physics & Materials, 2026, v. 35, n. 3. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Kanimozhi, C.; SabariGirisun, T. C.; Ganesan, S.; Chandramohan, S.; Gokila, G.; Manimekalai, R. 3 of 3
Abstract
In this study, natural crystalline material collected from the head of the Pomadasys maculatus fishes are characterized for their potential applications in various fields including laser optics. Interestingly, the natural otolith crystals exhibit two-photon absorption-induced optical limiting characteristics under Nd:YAG laser excitation. The optical limiting threshold for otolith crystals was found to be 6. 2 2 × 1 0 1 2 W/m2. The presence of Calcium (Ca), Copper (Cu), Potassium (K), and Sodium (Na) is confirmed by ICP-OES analysis. The presence of Ca is primarily from the functional group of otolith that was found on the surface of otolith. From the GCMS analysis, 25 compounds were found in the methanol extract of otolith. The magnetic property of Pomadasys maculatus fish sample was analyzed by vibrating sample magnetometer (VSM). The decomposition/mass loss over a temperature was analyzed by thermogravimetric analysis (TGA) and also the endo and exothermic event temperatures and phase transitions were observed from Differential Thermal Analysis (DTA). [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Nonlinear Optical Physics & Materials. 2026/05, Vol. 35, Issue 3, p1
- Document Type:Article
- Subject Area:Engineering
- Publication Date:2026
- ISSN:0218-8635
- DOI:10.1142/S021886352550016X
- Accession Number:191950274
- Copyright Statement:Copyright of Journal of Nonlinear Optical Physics & Materials is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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