CARBOHYDRATE POLYMERS
·
2026
·
IF 13.2
Xingyue Liu,Liucheng Meng,Wen Deng,Yuzhou Yang,Yanling Lou,Jianfeng Xi,Peng Li,Lei Zhang,Weibing Wu
Surface-enhanced Raman scattering (SERS) is a highly sensitive technology to detect target analytes. Herein, we propose a novel nanocellulose-based SERS platform integrating SERS with molecular imprinting technology (MIP) for ultrasensitive and selective detection of pesticide residues. A uniform, dense, and surface-clean “hot spots” nanostructure was eco-friendly constructed based on cellulose nanofiber (CNF) films. The CNF film serves as a substrate for the photo-induced in-situ growth of silver nanoparticles without additional reducing agents and surfactants. By regulating pre-polymer viscosity (8.7 mPa·s at 2-hour pre-polymerization), a thin and uniform MIP layer was precisely coated on the “hot spots” via dip-coating, ensuring optimal balance between selectivity and SERS activity. The resulting SERS-MIP architecture increases the likelihood that target molecules penetrate MIP-covered “hot spots”, yielding high sensitivity, reproducibility, and specificity toward parathion-methyl. The SERS substrate exhibited excellent sensitivity, reproducibility and selectivity for parathion-methyl, with a limit of detection of 3.97 × 10 −11 g/L and relative standard deviation of 7.60%. Moreover, it demonstrated remarkable capability in detecting pesticide residues on irregular surfaces of real samples, using a wiping sampling method that fully leverages the flexibility of the CNF film. This approach successfully integrates MIP with SERS technology, offering a flexible SERS substrate for on-site food safety monitoring.
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FOOD CHEMISTRY
·
2026
·
IF 10.4
Xinyu Luo,Dejin Lin,Jingqi Wang,Yihao Zhang,Xinru Liu,Sineng Gao,Da Chen
High-performance and on-site detection of pesticide glyphosate (GLY) residue is particularly urgent and challenging. Herein, dual-emission nitrogen-doped carbon dots (N-CDs) synthesized from tris-hydroxymethyl-aminomethane and resorcinol are successfully developed as a ratiometric fluorescence sensor. Upon adding GLY, the fluorescence intensity of N-CDs at 425 nm is quickly quenched via aggregation-caused quenching and photoinduced electron transfer, leading to the complexation process of N-CDs with GLY. While the fluorescence intensity of N-CDs at 525 nm with little change can be served as the reference signal. This distinct ratiometric fluorescence sensor achieves the detection limit and quantification limit as low as 24 nM and 80 nM with a wide linear range of 0.024–30 μM, respectively. Moreover, a smartphone-integrated lateral flow visual sensing platform is established for GLY detection by capturing and identifying the parameters of color variations. This platform represents a potential for the quantitative monitoring of GLY residue in food and the environment.
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JOURNAL OF LUMINESCENCE
·
2026
·
IF 3.8
Liqian Niu,Xian Wang,Xinxin Liu,Xin Liu,Shiyue Niu,Bin Yang,Jia Liu,Shuyun Bi
A highly sensitive surface-enhanced Raman spectroscopy (SERS) method for the detection of acephate was established by using the substrate of silver nanoparticles (AgNPs) modified with N-acetyl-L-cysteine (NAC) and zinc oxide (ZnO). The Raman signal enhancement factor (EF) of acephate by the substrate of ZnO/NAC/AgNPs can be reached 4.95 × 10 6 . The ultraviolet-visible spectroscopy (UV-vis), high-angle annular dark field scanning transmission electron microscopy (HAADF-STEM), transmission electron microscopy (TEM), X-ray diffraction (XRD), zeta potential, Fourier transform infrared spectra (FT-IR) and thermogravimetric analysis (TGA) were used to characterize the substrate of ZnO/NAC/AgNPs. The mechanism of electromagnetic enhancement (EM) assisted by chemical enhancement (CM) was elucidated in detail. The optimal experimental conditions were selected. The interference experiments showed that this method had high selectivity in complex substrates. There was a good linear relationship between acephate concentration and SERS signal intensity in the range of 6.00 × 10 −9 mol L −1 – 8.00 × 10 −7 mol L –1 , and the linear equation was I SERS = 85.02 c + 24712.49 ( r = 0.9982, c : nmol L −1 ) with the limit of detection (LOD) was 3.40 nmol L –1 (3 σ / S ). The SERS method was successfully applied for the detection of acephate residues in vegetable samples, and the recovery was in the range of 95.3% – 104% ( n = 5).
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ANALYTICA CHIMICA ACTA
·
2023
·
IF 6.2
Shizhuang Weng,Le Tang,Mengqing Qiu,Jinghong Wang,Yehang Wu,Rui Zhu,Cong Wang,Pan Li,Wen Sha,Dong Liang
In this study, surface-enhanced Raman spectroscopy (SERS) charged probes and an inverted superhydrophobic platform were used to develop a detection method for agricultural chemicals residues (ACRs) in rice combined with lightweight deep learning network. First, positively and negatively charged probes were prepared to adsorb ACRs molecules to SERS substrate. An inverted superhydrophobic platform was prepared to alleviate the coffee ring effect and induce tight self-assembly of nanoparticles for high sensitivity. Chlormequat chloride of 15.5–0.05 mg/L and acephate of 100.2–0.2 mg/L in rice were measured with the relative standard deviation of 4.15% and 6.25%. SqueezeNet were used to develop regression models for the analysis of chlormequat chloride and acephate. And the excellent performances were obtained with the coefficients of determination of prediction of 0.9836 and 0.9826 and root-mean-square errors of prediction of 0.49 and 4.08. Therefore, the proposed method can realize sensitive and accurate detection of ACRs in rice.
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FOOD AND CHEMICAL TOXICOLOGY
·
2023
·
IF 4.3
Yuanhao Zhou,Jiawen Ai,Lingli Cai,Yiyong Yan,BingZhi Wang,Hongzhen Ma,Quan Yu,Jianhua Zhou,Xinming Huo
Excessive pesticide use poses a significant threat to food safety. Rapid on-site detection of multi-target pesticide residues in vegetables is crucial due to their widespread distribution and limited shelf life. In this study, a rapid on-site screening method for pesticide residues on vegetable surfaces was developed by employing a miniature mass spectrometer . A direct pretreatment method involves placing vegetables and elution solution into a customized flexible ziplock bag, allowing thorough mixing, washing, and filtration. This process effectively removes pesticide residues from vegetable surfaces with minimal organic solvent usage and can be completed within 2 min. Moreover, this study introduced a deep learning algorithm based on a one-dimensional convolutional neural network, coupled with a feature database, to autonomously discriminate detection outcomes. By combining full scan MS and tandem MS analysis methods, the proposed method achieved a qualitative recognition accuracy of 99.62%. Following the qualitative discrimination stage, the target pesticide residue and internal standard can be simultaneously isolated and fragmented in the ion trap, thus enabling on-site quantitative analysis and warning. This method achieved a quantitative detection limit of 10 μg/kg for carbendazim in cowpea. These results demonstrate the feasibility of the proposed analytical system and strategy in food safety applications.
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Food Bioscience
·
2023
·
IF 5.2
Wenhui Hao,Gengli Huang,Guoyong Jiang,Sa-adu Abiola Dauda,Fuwei Pi
To control and on-site evaluate the contamination of organophosphorus pesticides, one direct sensing approach based on spontaneous fluorescence resonance energy transfer (FRET) was developed in this study. The luminescent metal-organic frameworks (LMOFs), a novel achievement of MOFs, could provide adjustable adsorption capacity and fluorescence index to scientific analysis was first employed to evaluate phoxim molecules in vegetables and fruits. Through the π-π recognition and FRET sensing between phoxim molecules and skeleton of Nu-1000 LMOFs probes, an ultra-low detection limit of 1.65 pg/L in the range of 5×10 −7 to 5×10 −3 mg/mL ( R 2 =0.998) was achieved in the presence of phoxim. Such simple and accurate LMOFs- FRET-based sensing strategy could offer valuable reference for developing sensitive FRET sensors and/or on-site evaluation approaches in the areas of food quality control and food safety.
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FOOD CHEMISTRY
·
2021
·
IF 7.514
Shaofeng Yuan,Changjian Li,Hang Yu,Yunfei Xie,Yahui Guo,Weirong Yao
Organophosphorus pesticides (OPPs) are widely used worldwide, leading to varying degrees of residues in food. Lactic acid bacteria (LAB) can degrade OPPs by producing phosphatase. This study explored the reasons for the variation in the degradation of different OPPs by Lactobacillus plantarum . The results showed that the degradation effects of OPPs by L. plantarum (intact cells) varied greatly, the degradation rate constant of phoxim was 1.65-fold higher than that of dichlorvos. However, the phosphatase extracted from L. plantarum had no degradation selectivity for OPPs in vitro . It was speculated that the selective uptake of cells determines this degradation selectivity. The results of molecular docking supported this hypothesis because there was no difference in the binding energies between phosphatase and OPPs, while the binding energies between phosphate-binding protein and pesticides were different, and they were negatively correlated with the degradation rate constants of the eight OPPs by L. plantarum .
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JOURNAL OF HAZARDOUS MATERIALS
·
2020
·
IF 9.038
Linfeng Chen,Xike Tian,Yong Li,Liqiang Lu,Yulun Nie,Yanxin Wang
Accurate screening of organophosphorus and carbamates pesticides from the complex real sample is crucial for water quality analysis and food safety control. Herein, a simple, low-cost and accurate pesticides screening method based on a high-throughput optical array system assembled by multiple cholinesterases (ChE) and thiocholine (TCh) sensors is described. The detection mechanism is that the inhibition of ChE activity by pesticides reduces the TCh produced by the hydrolysis of butyryl/acetylthiocholine iodide, thus changing the fluorescence intensity of TCh sensor. The diverse response of ChEs to pesticides and different affinity of sensors to TCh ensure the high-throughput and distinguishable signal output, which allow the establishment of high discrete pesticide database with intra-cluster agglomeration and inter-cluster dispersion. By using the database, the screening of unknown real contaminated samples were successfully operated, and the screened pesticide species and concentrations were consistent with high-performance liquid chromatography. This screening strategy demonstrates the feasibility of replacing existing complex mass spectrometry-based screening strategy with simple optical analysis, providing a new idea for the development of simple accurate screening technologies for widespread organic pollutants including pesticides.
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CHINESE JOURNAL OF ANALYTICAL CHEMISTRY
·
2021
·
IF 1.134
Guo-Ying CHEN,Hao ZHANG,Cong-Peng ZHAO,Chun-Yan ZHANG,Yuan WANG,Hua CHEN,Feng-Qing YANG
In this study, a capillary electrophoresis-based online immobilized acetylcholinesterase (AChE) microreactor was developed for the determination of organophosphorus pesticide (OPs) residues in six fruit and vegetable juice samples. AChE was immobilized on the inner wall at the inlet of the capillary via polydopamine (PDA) coating. The immobilized AChE activity and other kinetic parameters were evaluated by measuring the peak area of the product (thiocholine). The value of Michaelis-Menten constant ( K m ) was determined to be 3.11 mM, and the half-maximal inhibitory concentration (IC 50 ) and inhibition constant ( K i ) of tacrine on immobilized AChE were measured to be 0.46 μM and 0.27 μM, respectively. The activity of the immobilized AChE remained more than 85.0% of its initial immobilized enzyme activity after 30 runs. Then, the developed strategy was successfully applied to detect the acephate in six fruit and vegetable juice samples (apple, pear, peach, tomato, cucumber and lettuce juice) with a limit of detection (LOD) of 11.0 ng/mL. Results show that the recovery of spiked samples are in the range of 86.0-96.0% with RSD of less than 5.7%. Therefore, the proposed method is capable of achieving rapid analysis of acephate with simple operation when there are no other types of OPs in the real samples.
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MICROCHIMICA ACTA
·
2019
·Vol. 186
·期 2
·1-9
·
IF 5.479
Sun Huaijing,Mei Qingsong,Shikha Swati,Liu Jinliang,Zhang Jing,Zhang Yong
The authors describe the use of white-light emitting upconversion nanoparticles (WL-UCNPs) for visual detection of the pesticide thiram. The method is demonstrated to undergo a better discernable color change upon target binding. The WL-UCNPs are modified with the lead(II)-dithizone complex which acts as the energy acceptor and recognition unit. This leads to quenching of the blue (475 nm) and green (545 nm) emissions of the WL-UCNPs, while the red emission (650 nm) remains unaffected. Upon addition of thiram, the quenched emissions are recovered, with a linear signal increase in the range from 2 nM to 20 nM of thiram and a limit of detection of 0.26 nM. The nanoprobe was further integrated into a test paper for visual detection. The concentration-dependent color change that varies from red to cyan and bluish violet and then to white can be visually distinguished.
Schematic presentation of a white-light emissive upconversion nanoparticle based test paper for color-discernable detection of the pesticide thiram. The test stripe exhibits a concentration-dependent color variation spanning from red, cyan, to bluish violet, and at last to white.
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ACS Applied Nano Materials
·
2019
·
IF 0
Fan Gao,Lanlan Yang,Jianguo Tang,Zhonglin Du,Yao Wang,Zhongyi Hu,Dongni Han,Linjun Huang,Laurence A. Belfiore
Pesticide residues in farm products create human health hazards. Hence, sensors that detect their existence are advantageous to address this critical problem. In this research contribution, fin-like CdSeS nanoplatelets were synthesized from solution by adjusting the selenium-to-sulfur molar ratio. Structural and photophysical properties were characterized via XPS, XRD, UV absorption, and fluorescence emission. CdSeS nanoplatelets exhibit a regular fin-like structure when the molar ratio of selenium-to-sulfur is 1:1. Fluorescence emission from these nanoplatelets occurs at two distinct wavelengths, characteristic of quantum dots. CdSeS fin-like nanoplatelets generate red-shifted fluorescence to 530 nm, which is useful to detect the popular organophosphorus pesticide dimethoate effectively at concentrations that range from 10–5 to 10–7 mol/L. Upon increasing dimethoate concentrations in solution, fluorescence intensity of CdSeS nanoplatelets decreases. Hence, direct sensing of dimethoate is feasible. Another important significance of this work is the use of low-toxicity and recyclable cadmium acetate instead of cancer-causing and nonrecyclable cadmium oxide, which will be helpful to reduce environmental pollution.
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RSC Advances
·
2018
·Vol. 8
·期 51
·29385-29391
·
IF 2.936
Fenglian Qi,Yunhe Lan,Zihui Meng,Chunxiao Yan,Shuguang Li,Min Xue,Yifei Wang,Lili Qiu,Xuan He,Xueyong Liu
Due to the indiscriminate usage of organophosphates in military and agriculture, there is an increasing demand to develop sensors for monitoring organophosphorus nerve agents and pesticides. Herein, a sensitive two-dimensional photonic crystal (2D-PC) biosensor as a part of a portable device for the detection of Dipterex is presented. The 2D-PC array was self-organized on the water–air interface using 600 nm polystyrene (PS) colloidal particles, and it was further embedded into a polyacrylamide-acrylic acid (PAM-AA) hydrogel. After condensation between the amine groups of acetylcholinesterase (AChE) and the carboxyl groups of the hydrogel, a novel sensing platform of 2D-PC hydrogel with AChE as the recognition agent was constructed. The lattice spacing of AChE-functionalized 2D-PC was inversely proportional to the logarithm of the Dipterex concentration from 10−14 mol L−1 to 10−4 mol L−1 with estimated limit of detection (LOD) of 7.7 × 10−15 mol L−1. Simultaneously, the structural color of AChE-functionalized 2D-PC varied from yellow to blue. The biosensor achieved “naked-eye” detection due to which the use of AChE-functionalized 2D-PC is a promising technique for onsite and fast screening of organophosphates.
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