Fang Qi, Hong-Juan Feng, Jia-Yao Li, Yi Peng, Lin-Han Jiang, Ying-Ze Li, Le Zeng, Ling Huang
{"title":"Amino Acids-Enabled Fast-Restore of Triplet-Triplet Annihilation Upconversion Luminescence for Background-Free Sensing of Herbicides.","authors":"Fang Qi, Hong-Juan Feng, Jia-Yao Li, Yi Peng, Lin-Han Jiang, Ying-Ze Li, Le Zeng, Ling Huang","doi":"10.1002/smtd.202401945","DOIUrl":null,"url":null,"abstract":"<p><p>Overuse of herbicides poses a serious threat to ecosystems and human health; thus, the accurate determination of herbicide residue is very meaningful. Thanks to the advantage of no background fluorescence interference, the upconversion luminescence allows for reliable analysis of target molecules in complicated samples. Here, through screening of 20 natural amino acids, it is discovered that the photooxidation of methionine exhibited the fastest recovery rate of triplet-triplet annihilation upconversion (TTA-UC) luminescence via oxygen consumption, which is 400-fold faster compared to the well-known photooxidation of oleic acid. Furthermore, oxygen-resistant, small-size, red-to-blue TTA-UC nanoparticles with a record upconversion efficiency (7.2%, normalized to 100%) are prepared using hydrophobic butyl methionine as an oxygen scavenger. Surface negatively charged TTA-UC nanoparticles are able to selectively enrich positively charged paraquat on their surface. Accordingly, a photoinduced electron transfer process occurred between the triplet excited state of the photosensitizer and the electron-deficient paraquat, quenching the upconversion luminescence. Relying on this principle, TTA-UC-based paraquat sensing is achieved with a fast response (less than 1 s), high selectivity, and a low limit of detection (1.54 µg mL<sup>-1</sup>). Further, the TTA-UC nanoparticles are utilized to implement paraquat analysis in lake water without sample pretreatment.</p>","PeriodicalId":229,"journal":{"name":"Small Methods","volume":" ","pages":"e2401945"},"PeriodicalIF":10.7000,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Small Methods","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/smtd.202401945","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Overuse of herbicides poses a serious threat to ecosystems and human health; thus, the accurate determination of herbicide residue is very meaningful. Thanks to the advantage of no background fluorescence interference, the upconversion luminescence allows for reliable analysis of target molecules in complicated samples. Here, through screening of 20 natural amino acids, it is discovered that the photooxidation of methionine exhibited the fastest recovery rate of triplet-triplet annihilation upconversion (TTA-UC) luminescence via oxygen consumption, which is 400-fold faster compared to the well-known photooxidation of oleic acid. Furthermore, oxygen-resistant, small-size, red-to-blue TTA-UC nanoparticles with a record upconversion efficiency (7.2%, normalized to 100%) are prepared using hydrophobic butyl methionine as an oxygen scavenger. Surface negatively charged TTA-UC nanoparticles are able to selectively enrich positively charged paraquat on their surface. Accordingly, a photoinduced electron transfer process occurred between the triplet excited state of the photosensitizer and the electron-deficient paraquat, quenching the upconversion luminescence. Relying on this principle, TTA-UC-based paraquat sensing is achieved with a fast response (less than 1 s), high selectivity, and a low limit of detection (1.54 µg mL-1). Further, the TTA-UC nanoparticles are utilized to implement paraquat analysis in lake water without sample pretreatment.
Small MethodsMaterials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍:
Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques.
With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community.
The online ISSN for Small Methods is 2366-9608.