Article
?
AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button.
Tier 2
?
Original research — experimental, observational, or case-control study. Direct primary evidence.
Detection Methods
Sign in to save
Overcoming the fluorescent interference during Raman spectroscopy detection of microplastics
The Science of The Total Environment2023
41 citations
?
Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Score: 50
?
0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Yu Liu,
Yu Liu,
Bing Yang,
Min Chang,
Xiaoxin Huang,
Min Chang,
Chengyong Li
Zhenqing Dai,
Chengyong Li
Jiale Hu,
Bing Yang,
Min Chang,
Zhenqing Dai,
Chengyong Li
Yu Liu,
Liqian Lin,
Liqian Lin,
Zhenqing Dai,
Xiaoxin Huang,
Yu Liu,
Bing Yang,
Chengyong Li
Liqian Lin,
Zhenqing Dai,
Zhenqing Dai,
Lei Ren,
Xiaoxin Huang,
Bing Yang,
Yu Liu,
Liqian Lin,
Zhenqing Dai,
Bing Yang,
Yu Liu,
Zhenqing Dai,
Zhenqing Dai,
Minhua Huang,
Zhenqing Dai,
Zhenqing Dai,
Minhua Huang,
Bing Yang,
Yu Liu,
Zhenqing Dai,
Zhenqing Dai,
Zhenqing Dai,
Xiaoxin Huang,
Xiaoxin Huang,
Zhenqing Dai,
Zhenqing Dai,
Minhua Huang,
Zhenqing Dai,
Bing Yang,
Yu Liu,
Zhenqing Dai,
Chengyong Li
Shengli Sun,
Shengli Sun,
Minhua Huang,
Zhenqing Dai,
Jiale Hu,
Zhenqing Dai,
Zhenqing Dai,
Chengyong Li
Zhenqing Dai,
Zhenqing Dai,
Min Chang,
Min Chang,
Yu Liu,
Lei Ren,
Zhenqing Dai,
Zhenqing Dai,
Zhenqing Dai,
Zhenqing Dai,
Min Chang,
Min Chang,
Min Chang,
Chengyong Li
Yu Liu,
Zhenqing Dai,
Zhenqing Dai,
Xiaoxin Huang,
Yu Liu,
Zhenqing Dai,
Lei Ren,
Zhenqing Dai,
Min Chang,
Shengli Sun,
Zhenqing Dai,
Shengli Sun,
Shengli Sun,
Chengyong Li
Shengli Sun,
Shengli Sun,
Zhenqing Dai,
Zhenqing Dai,
Shengli Sun,
Chengyong Li
Shengli Sun,
Chengyong Li
Zhenqing Dai,
Chengyong Li
Yu Liu,
Yu Liu,
Zhenqing Dai,
Chengyong Li
Chengyong Li
Chengyong Li
Shengli Sun,
Shengli Sun,
Zhenqing Dai,
Zhenqing Dai,
Chengyong Li
Shengli Sun,
Chengyong Li
Chengyong Li
Chengyong Li
Chengyong Li
Zhenqing Dai,
Yu Liu,
Lei Ren,
Shengli Sun,
Shengli Sun,
Shengli Sun,
Chengyong Li
Chengyong Li
Zhenqing Dai,
Chengyong Li
Chengyong Li
Chengyong Li
Chengyong Li
Chengyong Li
Yu Liu,
Lei Ren,
Lei Ren,
Lei Ren,
Shengli Sun,
Chengyong Li
Chengyong Li
Zhenqing Dai,
Chengyong Li
Chengyong Li
Zhenqing Dai,
Chengyong Li
Chengyong Li
Shengli Sun,
Chengyong Li
Chengyong Li
Shengli Sun,
Lei Ren,
Lei Ren,
Chengyong Li
Yu Liu,
Chengyong Li
Chengyong Li
Chengyong Li
Shengli Sun,
Chengyong Li
Shengli Sun,
Chengyong Li
Chengyong Li
Chengyong Li
Lei Ren,
Chengyong Li
Summary
Researchers developed a Fenton's reagent-based method to eliminate fluorescent interference during Raman spectroscopy detection of microplastics, successfully improving spectral matching for colored environmental samples from mangroves without requiring complex spectral processing.
Owing to environmental concerns, microplastics pollution has been the object of increasing attention. Currently, the chemical composition of microplastics is commonly detected using Raman spectroscopy. Nevertheless, the Raman spectra of microplastics may be overlaid by signals derived from additives (e.g., pigment), resulting in serious interference. In this study, an efficient method is proposed to overcome the interference of fluorescence during Raman spectroscopic detection of microplastics. Four catalysts of Fenton's reagent (Fe, Fe, FeO, and KFeO) have been investigated for their capacity to generate hydroxyl radical (•OH), thus potentially eliminating the fluorescent signals in microplastics. The results indicate that the Raman spectrum of microplastics treated with Fenton's reagent can be efficiently optimized in the absence of spectral processing. This method has been successfully applied to the detection of microplastics collected from mangroves, featuring a range of colours and shapes. Consequentially, after 14 h of treatment with sunlight-Fenton (Fe: 1 × 10 M, HO: 4 M), the Raman spectra matching-degree (RSMD) of all microplastics were >70.00 %. The innovative strategy discussed in this manuscript can greatly promote the application of Raman spectroscopy in the detection of real environmental microplastics, overcoming interfering signals derived from additives.