Green synthesis of carbon dots encapsulated MoO3:La3+ for enhanced photocatalytic degradation, dactyloscopy and real-time FP detection using YOLOv8x

IF 5.5 3区 工程技术 Q1 ENGINEERING, CHEMICAL
M. Gagana , B. R. Radha Krushna , S.C. Sharma , S Sharmila , R. Meenakshi , A. Devikala , Samir Sahu , K. Manjunatha , Sheng Yun Wu , R. Arunakumar , H. Nagabhushana
{"title":"Green synthesis of carbon dots encapsulated MoO3:La3+ for enhanced photocatalytic degradation, dactyloscopy and real-time FP detection using YOLOv8x","authors":"M. Gagana ,&nbsp;B. R. Radha Krushna ,&nbsp;S.C. Sharma ,&nbsp;S Sharmila ,&nbsp;R. Meenakshi ,&nbsp;A. Devikala ,&nbsp;Samir Sahu ,&nbsp;K. Manjunatha ,&nbsp;Sheng Yun Wu ,&nbsp;R. Arunakumar ,&nbsp;H. Nagabhushana","doi":"10.1016/j.jtice.2025.106032","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Industrial dye pollution poses severe environmental threats, necessitating efficient and sustainable removal strategies. Additionally, forensic and biometric applications require high-resolution fingerprints (FPs) detection for accurate identification. This study develops carbon dots (CDs) integrated MoO<sub>3</sub>:1 %La<sup>3+</sup> nanocomposites (NCs) for photocatalytic dye degradation and forensic applications, offering a multifunctional approach to environmental remediation and FP visualization.</div></div><div><h3>Methods</h3><div>The NCs were synthesized using a green approach with neem leaf extracts and characterized via XRD, FTIR, SEM, TEM, XPS, and UV-Vis spectroscopy. Their photocatalytic efficiency was assessed through methyl orange (MO) degradation, while seed germination tests using <em>Pisum sativum</em> evaluated environmental safety. Additionally, the <em>YOLOv8x</em> deep-learning model was trained for enhanced latent fingerprint (LFP) detection and analysis.</div></div><div><h3>Significant Findings</h3><div>NCs exhibited 99.4 % MO degradation within 70 min, detecting MO at concentrations as low as 0.032 μM. Post-treatment analysis confirmed complete degradation. Seed germination tests showed improved root (6.24 cm), shoot (7.83 cm), and germination energy (84 %), validating detoxification. NCs enhanced FP visualization, while <em>YOLOv8x</em> achieved over 90 % mean average precision (mAP) in minutiae detection, outperforming traditional methods. This work establishes CDs/MoO<sub>3</sub>:1 %La<sup>3+</sup> NCs as a multifunctional solution for environmental remediation, agriculture, and forensic applications.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"170 ","pages":"Article 106032"},"PeriodicalIF":5.5000,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Taiwan Institute of Chemical Engineers","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1876107025000859","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Background

Industrial dye pollution poses severe environmental threats, necessitating efficient and sustainable removal strategies. Additionally, forensic and biometric applications require high-resolution fingerprints (FPs) detection for accurate identification. This study develops carbon dots (CDs) integrated MoO3:1 %La3+ nanocomposites (NCs) for photocatalytic dye degradation and forensic applications, offering a multifunctional approach to environmental remediation and FP visualization.

Methods

The NCs were synthesized using a green approach with neem leaf extracts and characterized via XRD, FTIR, SEM, TEM, XPS, and UV-Vis spectroscopy. Their photocatalytic efficiency was assessed through methyl orange (MO) degradation, while seed germination tests using Pisum sativum evaluated environmental safety. Additionally, the YOLOv8x deep-learning model was trained for enhanced latent fingerprint (LFP) detection and analysis.

Significant Findings

NCs exhibited 99.4 % MO degradation within 70 min, detecting MO at concentrations as low as 0.032 μM. Post-treatment analysis confirmed complete degradation. Seed germination tests showed improved root (6.24 cm), shoot (7.83 cm), and germination energy (84 %), validating detoxification. NCs enhanced FP visualization, while YOLOv8x achieved over 90 % mean average precision (mAP) in minutiae detection, outperforming traditional methods. This work establishes CDs/MoO3:1 %La3+ NCs as a multifunctional solution for environmental remediation, agriculture, and forensic applications.
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
9.10
自引率
14.00%
发文量
362
审稿时长
35 days
期刊介绍: Journal of the Taiwan Institute of Chemical Engineers (formerly known as Journal of the Chinese Institute of Chemical Engineers) publishes original works, from fundamental principles to practical applications, in the broad field of chemical engineering with special focus on three aspects: Chemical and Biomolecular Science and Technology, Energy and Environmental Science and Technology, and Materials Science and Technology. Authors should choose for their manuscript an appropriate aspect section and a few related classifications when submitting to the journal online.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信