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TLC-SERS
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY · 2022 · IF 4.831

Functional cotton fabric-based TLC-SERS matrix for rapid and sensitive detection of mixed dyes

Huifang Yao,Xiaxiao Dong,Hong Xiong,Jinwei Liu,Ji Zhou,Yong Ye

A facile cotton fabric with a built-in TLC-SERS structure was fabricated to demonstrate an integrated TLC separation and SERS identification of mixed dyes. The soft and flexible SERS fabric was firstly fabricated using a simple method in which gold nanoparticles were in-situ synthesized on cotton fabrics by heating. β-CD was then grafted onto cotton fabric through crosslinking with citric acid in presence of sodium hypophosphite monohydrate via esterification reaction. The adsorption and TLC development performance of β-CD grafted fabrics were comprehensively investigated with two organic dyes, one anionic dye and one nonionic dye. Besides, the recyclable adsorption and separation performance were tested to evaluate its sustainable application prospects. It displayed less adsorption capacity loss and reusable separation performance after several cycles than the pristine cotton fabrics. Finally, two sets of mixed dyes were successfully separated on the TLC fabrics and then identified via on-site SERS according to their different migration distance. The developed TLC-SERS fabric shows the advantage of quick, easy to handle, low-cost, sensitive, and could be exploited in on-site study of synthetic dyes in art objects, textile and packaging products or forensic applications.

研究领域: 分析化学 · 材料科学 · 光谱学 · 纺织工程
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SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY · 2023 · IF 4.4

Quantitative monitoring ofloxacin in beef by TLC-SERS combined with machine learning analysis

Xiaoqi Lu,Yidan Ma,Shangkun Jiang,Zice Wang,Qian Yu,Chengcheng Ji,Jiaqi Guo,Xianming Kong

Ofloxacin is one kind of quinolone antibiotic drugs, the abuse of ofloxacin in livestock and aquaculture may bring bacterial resistance and healthy problem of people. The illegally feeding cattle with ofloxacin will help it keep health, but the sedimentation of ofloxacin could bring problem in food safety. The accurate, simple and instant monitoring ofloxacin from beef by portable sensor was of vital issue in food quality. A simple and reliable method was proposed for instant and quantitative detecting ofloxacin in beef, in which the thin-layer chromatography (TLC) -surface-enhanced Raman scattering (SERS) spectroscopy was in tandem with machine learning analysis base one principal component analysis-back propagation neural network (PCA-BPNN). The TLC plate was composed with diatomite, that was function as the stationary phase to separate ofloxacin from beef. The real beef juice was directly casted onto the diatomite plate for separating and detecting. The directly monitor ofloxacin from beef was achieved and the sensitivity down to 0.01 ppm. The PCA-BPNN was used as reliable model for quantitative predict the concentration of ofloxacin, that shown superior accuracy compared with the traditional model. The results verify that the diatomite plate TLC-SERS combined with machine-learning analysis is an effective, simple and accurate technique for detecting and quantifying antibiotic drug in meat stuff to improve the food safety.

CAS / MDL: 1074-36-8
研究领域: 食品安全 · 分析化学 · 药物检测
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SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY · 2020 · IF 3.232

Facile detection of carbendazim in food using TLC-SERS on diatomite thin layer chromatography

Zhengdong Shen,Qinzhen Fan,Qian Yu,Rui Wang,Huan Wang,Xianming Kong

This work aims to isolate and detect pesticide (carbendazim) residue in real food samples: orange juice and kale leaves. The combination of on-chip thin layer chromatography (TLC) and surface enhanced Raman scattering (SERS) spectroscopy was used for the separating and detecting of carbendazim (MBC) from the complex food sample. In order to achieve on-site detection of MBC from real food sample, the portable Raman spectrometer was coupled with TLC-SERS. The porous stationary phase composed of diatomite biosilica is beneficial for SERS enhancement and eluent migration. The experiments exhibited that the diatomite chip was suitable for TLC separation and has not shown SERS background and provided excellent separation efficiency, 10 −8  M silver colloids were appropriate for the SERS measurement on TLC chip. The food sample was directly spotted onto the diatomite chip for TLC separation without any pretreatment. The separation and detection process were finished in less than 5 min, the mixture of pyrimethanil , pymetrozine and MBC could be distinguished simultaneously by TLC-SERS at one diatomite chip. The MBC in orange juice and kale were successfully detected, and a limit of detection (LOD) less than 2 ppm could be achieved.

研究领域: 分析化学 · 食品安全 · 光谱学
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Biosensors-Basel · 2025 ·Vol. 15 ·期 8 ·477 · IF 5.6

Quantitative Detection of Pyrene in Edible Oil via Plasmonic TLC-SERS Combined with Machine Learning Analysis

Jiahui Tian,Xianhe Jiao,Jiaqi Guo,Qian Yu,Shuqin Zhang,Guizhou Gu,Kundan Sivashanmugan,Xianming Kong

The presence of polycyclic aromatic hydrocarbons (PAHs) in edible oil has a serious effect on human health and may potentially induce cancer. This study combined thin-layer chromatography and surface-enhanced Raman spectroscopy (TLC-SERS) to rapidly and quantitatively detect PAHs in culinary oil. Machine learning using the principle component analysis-back propagation neural network (PCA-BP) was integrated with TLC-SERS for the detection of PAHs. Ag nanoparticles on diatomite (diatomite/Ag) TLC-SERS substrate were prepared via an in situ growth process and employed as a stationary phase in the TLC channel. The analyte sample was dropped onto the TLC channel for separation and detection. The diatomite/Ag TLC channel demonstrated excellent separation capability and superior SERS performance and successfully detected PAHs from edible oil at a sensitivity of 0.1 ppm. The PCA-BP quantitative analysis model demonstrated outstanding prediction performance. This work demonstrates that the combination of TLC-SERS technology with PCA-BP is an efficient and accurate method for quantitatively detecting PAHs in edible oil, which can effectively improve the quality of food.

研究领域: 食品安全 · 分析化学 · 光谱学 · 纳米技术 · 机器学习
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Food Bioscience · 2022 · IF 5.318

Simultaneous determination of 14 nitroimidazoles using thin-layer chromatography combined with surface-enhanced Raman spectroscopy (TLC-SERS)

Siqian Shi,Hang Yu,Fangwei Yang,Weirong Yao,Yunfei Xie

Nitroimidazoles are a family of veterinary drugs containing a 5-nitroimidazole ring structure, which are commonly used antibiotics. In view of their potential genotoxicity and possible coexistence in actual samples, it is necessary to establish a rapid and effective method for the simultaneous determination of multiple nitroimidazoles. In this study, a rapid thin-layer chromatography combined with surface-enhanced Raman spectroscopy (TLC-SER) detection method for 14 nitroimidazole compounds has been established. The theoretical Raman spectra of the nitroimidazoles were calculated using the B3LYP/6-311+G(d) basis set in density functional theory (DFT) and the theoretical Raman spectra of TNZ , NBZ, ONZ , SCZ, DMZ , MNI, 2-HMZ, 4-HMZ, CMNI, IPZ , MNZ-OH and HMDMZ have been obtained for the first time. SERS detection was carried out on a gold nanoparticles (AuNPs) substrate, which exhibited strong SERS signals and a limit of detection limit of 0.1 mg/L. By optimizing the conditions used for the developing agent in TLC, 12 nitroimidazoles were successfully separated, while MNZ and RNZ still could not be separated. When combined with the chemometrics analysis method, the TLC-SERS method can realize the simultaneous detection of 14 nitroimidazoles. Actual pork samples were spiked with nitroimidazoles with a recovery rate of 80%–110% and RSD of 0.74%–16.70%, which showed that SERS and TLC-SERS methods are also effective for detection in actual samples. The detection time of this method is < 10 min, which is suitable for the rapid detection of nitroimidazoles, especially for the rapid qualitative identification of nitroimidazoles in situ.

研究领域: 分析化学 · 兽医学 · 食品安全
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FOOD CONTROL · 2022 · IF 6.652

A novel suitable TLC-SERS assembly strategy for detection of Rhodamine B and Sudan I in chili oil

Xuanyu Sha,Siqingaowa Han,Guoqiang Fang,Nan Li,Dianyang Lin,Wuliji Hasi

In this work, a facile and effective method for assembly and transfer nanoparticles on thin layer chromatography (TLC) plate was proposed and used to combined with layer chromatography-surface-enhanced Raman spectroscopy (TLC-SERS) strategy for detection of Rhodamine B and Sudan I. First, Monodispersed Ag NCs with broadly tunable diameters (from 41 to 67 nm) and 7.25 × 10 5 maximum actual enhancement factor (AEF) were successfully prepared and systematically investigated for its optic performance use in TLC-SERS. Au@Ag NCs were monitored by TEM, SEM and UV–Vis spectrometer. The optical properties of Ag NCs were simulated and the experimental results showed good consistency with simulation results of absorption spectra. Through three phases interfacial technique and a simple transfer method, nanostructures were assembled on the TLC plate. Moreover, the semi-quantitative analysis of Rhodamine B and Sudan I in the range of 1–200 ppm was performed based on the assembled TLC plate with the limit of detection as low as 1 ppm. In addition, the practical feasibility of this strategy was verified by the detection of Sudan I and Rhodamine B in chili oil. In general, this assembled TLC-SERS strategy builds a connection for the application of nanomaterials with rich morphology in TLC-SERS, which has a great application prospect and practical application value.

研究领域: 分析化学 · 食品安全检测 · 纳米技术
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MICROCHEMICAL JOURNAL · 2020 · IF 3.594

On-site separation and identification of polycyclic aromatic hydrocarbons from edible oil by TLC-SERS on diatomite photonic biosilica plate

Zhengdong Shen,Haiying Wang,Qian Yu,Qiang Li,Xiaomin Lu,Xianming Kong

The accumulated polycyclic aromatic hydrocarbons (PAHs) in edible oil can bring serious health concerns because of their carcinogenic features. PAHs could accumulate in edible oil from contaminated environment or food stuff. In this study, the combination uses of on-site thin layer chromatography and surface enhanced Raman scattering (SERS) spectroscopy has been successfully displayed to identify PAHs from edible oil samples. Diatomite which is a kind of porous biosilica was used to construct stationary phase on TLC plate, the photonic crystal feature of diatomite is beneficial for SERS enhancement. The highly-porous stationary phase composed of porous diatomite with void shell structure could promote mobile phase interaction with the stationary phase, which leading to improved mass transfer, uniformity and analyte resolution compare with the conventional silica gel plate. The edible oil (1 µL) was directly applied to the diatomite plate without pretreatment, and subjected to TLC separation. The polarity of target analytes was calculated for eluent optimization, on which four compounds of PAHs(benzo[a]pyrene, pyrene, anthracene and indeno[1,2,3-cd] pyrene) were successfully separated by using hexane/chloroform (15/1, v/v) as eluent, including compounds with similar polarity(benzo[a]pyrene 0.0477, indeno[1,2,3-cd] pyrene 0.6545, pyrene and anthracene are 0). 2 µL of Au colloid at 2.4 × 10 −7  M were transferred onto the diatomite plate for the SERS measurement. The limit of detection was found to be nearly at 1 ppm. The obtained results can easily identify the four compounds of PAHs in edible oil by their own characteristic Raman peaks. This proposed method provides a simple, instant and effective strategy for on-site identification PAHs from food samples.

研究领域: 食品安全 · 分析化学 · 环境科学
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