Jian Song,Shuyu Lai,Dingnan Wang,Xiaomei Wu,Yiming Zhang,Linjiang Pang,Tingting Chai,Ji Zhao,Xiaodong Wang
The development of simultaneous and rapid screening of the residues of veterinary drugs and their metabolites is up to now still a challenge. In this study, a novel strategy of read-out analysis is proposed based on high-performance thin-layer chromatography (HPTLC) separation coupled with self-visualization detection of trace of leucomalachite Green (LMG) and malachite green (MG) in aquatic products. The novel self-visualization nanomaterial was successfully synthesized and subsequently fully characterized. The ionic associate MG–I 3 formed on the visualization sensing interface was effectively attested by MALDI-TOF/TOF-MS for the first time. A serials of visualization reactions were conducted on the target zone surface of HPTLC after separation. Under the optimum conditions, the calibration curves of LMG and MG were obtained with good linearity in the range of 0.25–8.0 μg mL −1 and 0.125–4.0 μg mL −1 , respectively. The limits of detection and limit of quantification were calculated as 1.71 and 5.19 μg kg −1 for LMG and 0.9 and 2.74 μg kg -1 for MG, respectively. Real sample analysis and validation provided satisfactory results. The proposed method has the potential to detect simultaneously, rapidly, and accurately LMG and MG in aquatic products during storage, handling, and sales.
To construct a rapid read-out analytical platform for detecting histamine in foods , a self-visualization nanomaterial was prepared by stable doping of ninhydrin into TiO 2 nanoparticles ( [email protected] 2 ) using a sol-gel strategy, and it was printed onto the target zone for histamine on a high-performance thin layer chromatography (HPTLC) strip based on the Rf value. Under the optimum TLC conditions, histamine in the sample migrates to the target zone, and the colorimetric reaction occurs in situ . The resultant color spots can be either identified visually or semi-quantitatively by image analysis. Owing to the stable visualization performance, the constructed strip demonstrated good contrast, with a low background and easily recognizable colored spots. The linear range was 15.0–320.0 mg kg −1 , and the limit of detection for histamine in fish was 5.0 mg kg −1 . Other biogenic amines such as putrescine and cadaverine did not interfere with the analysis. Furthermore, analytical results for fish samples were verified by HPLC tests, demonstrating the robustness and reliability of the developed method. Therefore, the incorporation of a self-visualization nanomaterial in the HPTLC platform is a promising strategy for the rapid analysis of food contaminants in the future.
危险品化学品经营许可证（带存储）