PHYSICAL CHEMISTRY CHEMICAL PHYSICS
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2014
·Vol. 17
·期 33
·21158-21163
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IF 4.198
Meng Jiang,Zhijiang Qian,Xufeng Zhou,Xing Xin,Jinghua Wu,Chao Chen,Gongjun Zhang,Gaojie Xu,Yuchuan Cheng
A structure of hexadecyl trimethyl ammonium bromide (CTAB) micelle-assisted reduced graphene oxide–Ag nanoparticle (rGO–AgNP) hybrids is designed and fabricated for SERS detection of nonpolar polycyclic aromatic hydrocarbons (PAHs), in which CTAB micelles act as the host material to capture PAH molecules. This method provides stable aqueous suspensions of functionalized graphene with an alkyl chain, since the rGO–AgNP hybrids do not need to be pre-modified by CTAB. The result shows that the CTAB-assisted rGO–AgNP substrate has excellent SERS performance toward PAHs and ideal stability under continuous laser radiation. With further optimization, the detection limits of pyrene and perylene were 10−6 M and 10−7 M, respectively. Two different PAH molecules could be detected simultaneously by their characteristic peaks.
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ACS Applied Nano Materials
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2025
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IF 5.5
Chongyu Fan,Jun Dong,Haoran Wu,Wanting Zhou,Qingyan Han,Chengyun Zhang,Qian Zhang,Tuo Li,Wei Gao,Jianxia Qi
Surface-enhanced Raman spectroscopy represents a highly efficient detection method, offering significant advantages in the identification and detection of target analytes in food. To ensure that the substrate exhibits high sensitivity, it is essential to facilitate the formation of stable plasmonic “hot spot” regions. In this study, gold nanospheres (Au NSs) were synthesized on capillary substrates via in situ growth and seed-mediated method. The results demonstrated that optimal Raman signal enhancement was achieved when the APTES concentration was 20% and the diameter of the Au NSs was approximately 65 nm. The detection limits of fabricated substrate for Rhodamine 6G and crystal violet probe molecules are 10–11 and 10–10 M, respectively. In addition, aspartame molecules can be detected at levels as low as 0.0391 g/L, which is significantly below the national standard. The result demonstrates that the substrate has a high sensitivity, excellent uniformity, and high stability properties. Therefore, it is suitable for food additive detection with promising prospects for further development.
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CHEMICAL ENGINEERING JOURNAL
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2024
·
IF 13.3
Bai-Chuan Zhao,Yao-Yu Pan,Si-Jie Liao,Zhi-Ke He,Wei Xie,Ai-Guo Shen
The development of efficient trace sensing and green photodegradation synergetic system for antibiotics has become increasingly significant in ecological environmental risk prevention. Herein, a recyclable self-cleaning surface-enhanced Raman scattering (SERS) hybrid system was developed by in-situ deposition of gold nanoparticles (Au NPs) on hydrogen-bonded organic framework (HOF) nanorods. The hybrid system possessed excellent trace SERS detection performance (10 −13 M for rhodamine 6G), attributed to the considerable molecular enrichment capacity of HOFs and the intense local surface plasmon resonance (LSPR) effect of Au NPs. The hot-electron transfer pathway activated by the deposition of Au NPs extremely inhibited the hot carrier recombination and therefore induced a self-cleaning capacity of the hybrid system. Notably, the Au NPs decorated HOFs accomplished trace SERS sensing (10 −10 M) for ciprofloxacin with good self-cleaning and reusable capabilities. This work provides a new material construction strategy for the reusable trace monitoring and green removal of antibiotics, possessed with an enormous application potential in ecological environmental risk prevention.
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ANALYTICAL CHEMISTRY
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2024
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IF 6.7
Shuang Mu,Zhaowei Tian,Wei Ren,Chenghui Liu
Surface-enhanced Raman scattering (SERS) has emerged as a powerful tool for contamination detection. Fabricating efficient nanostructures with hotspots for signal enhancement and concentrating diluted target analyte molecules to the hotspots are critical for ultrasensitive SERS detection, which generally requires advanced instruments and intricate manipulations. Herein, we report a simple, low-cost, and high-efficiency paper device that can simultaneously concentrate the analytes and generate SERS hotspots rapidly with the assistance of laser-induced thermophoresis. After dropping the target- and plasmonic nanoparticle-containing solution on a paper substrate, the evaporative gradient created by the laser-induced thermophoresis can promote the delivery of the analytes and plasmonic nanoparticles simultaneously to the tiny area of the laser spot, forming compact SERS hotspots to significantly amplify the analyte’s Raman scattering signals. This convenient thermophoretic strategy can be accomplished rapidly within ∼4 min and exhibits more than 104-times higher sensitivity than that without the assistance of laser-based thermophoresis. This elegant paper device is successfully applied to the detection of contaminants such as pesticides and nanoplastics in fruit and water samples, holding the potential to provide a simple, fast, and cost-effective approach for on-site detection of environmental contaminants.
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OPTICS EXPRESS
·
2025
·Vol. 33
·期 2
·2247-2260
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IF 3.3
Lixia Li,Jiabin Zhao,Mingdeng Jin,Siyuan Wu,Feiyou Liu,Yurui Huang,Ning Feng,Yufang Liu,Yufang Liu
The detection of mercury ions (Hg2+) is crucial due to its harmful effects on health and environment. In this article, what we believe to be a novel dual-mode optical fiber sensor incorporating surface plasmon resonance (SPR) and surface-enhanced Raman scattering (SERS) is proposed for ultra-trace Hg2+ detection. The sensing probe comprises gold (Au)/graphene oxide (GO) composite membrane structure and Au nanospheres (AuNPs), which are connected via double-stranded DNA. In the presence of Hg2+, two single-stranded DNA (ssDNA) modified on the sensing region and AuNPs asymmetrically pair to form a thymine (T) - Hg2+ - T structure, facilitating AuNPs attachment to the sensing region. This attachment induces spectral changes, thereby enabling Hg2+ detection. In the SPR mode, the limit of detection (LOD) for Hg2+ is 1.82 × 10−12 M. In the SERS mode, AuNPs generate numerous “hot spots” that amplify the Raman signal through electromagnetic enhancement mechanism (EM), the Au/GO composite membrane can undergo charge transfer with Raman molecule to further enhance the Raman signal through chemical enhancement mechanism (CM), thus achieving detection of Hg2+ with a LOD of 3.94 × 10−13 M. The synergy between SPR mode and SERS mode enhances cross-validation of results and improves accuracy and reliability of the assay. Therefore, the sensor proposed in this paper demonstrates strong potential for diverse practical applications.
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ANALYTICA CHIMICA ACTA
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2024
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IF 5.7
Wenwen Yuan,Hang Yuan,Ruibing Li,Ruiqi Yong,Ivona Mitrovic,Eng Gee Lim,Sixuan Duan,Pengfei Song
Background Alzheimer's disease (AD), the most prevalent neurodegenerative ailment worldwide, results in severe cognitive decline and irreversible memory loss. Early identification of AD is significant to patients for personalized intervention since effective cure and treatment methods for AD are lacking. Despite the severity of the disease, existing highly sensitive AD detection methods, including neuroimaging and brain deposit-positive lesion tests, are challenging due to their high cost and complicated operation. Therefore, these methods are unsuitable for early detection, especially in low-resource settings. Although regular paper-based microfluidics are cost-efficient, they are restricted by a high limit of detection (LOD) and susceptibility to contamination. Results To address the above limitations, for the first time, we report the ultrasensitive and low-cost nanocellulose paper (nanopaper)-based analytical microfluidic devices (NanoPADs) for AD detection using Surface-enhanced Raman scattering (SERS) immunoassay method. Nanopaper offers advantages as SERS substrates, such as an ultrasmooth surface, high optical transparency, and tunable chemical properties. Significance Therefore, our NanoPADs are distinguished by their cost-efficiency and ease of implementation, presenting an avenue for effective early detection of AD with ultra sensitivity. More importantly, our work provides the foundation for SERS-based immunoassay detection of multiple biomarkers on NanoPADs for various diseases in the future.
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BIOSENSORS & BIOELECTRONICS
·
2019
·
IF 9.518
Huili Shao,Han Lin,Zhiyong Guo,Jing Lu,Yaru Jia,Meng Ye,Fengmei Su,Lingmei Niu,Weijun Kang,Sui Wang,Yufang Hu,Youju Huang
MicroRNAs are widely used as tumor markers for cancer diagnosis and prognosis. Herein, a multiple signal amplification sandwich-type SERS biosensor for femtomolar detection of miRNA is reported. The signal unit consisted of giant Au vesicles, DNA sequences and deposited silver nanoparticles . The giant Au vesicles provided large-volume hot spots because of sharp tips and abundant hotspot gaps, thus enhancing the electromagnetic intensity for the SERS performance. Further silver stain would easily lead to second-stage amplification of Raman signal. In addition, more SERS signal molecules R6G adsorbed on the signal unit with the aid of HCR and the controlled nanogaps between adjacent AgNPs, brought about the third-stage amplification. The capture unit, prepared by immobilizing the capture probe (CP) on the Fe 3 O 4 @AuNPs, could easily capture target miRNA and greatly simplify the separation step to improve reproducibility. The higher concentration of target miRNA definitely formed more sandwich-type structures with combination of capture unit and signal unit, resulting in multiple amplification of SERS signals. The proposed multiple signal amplification sandwich-type SERS biosensor could detect miRNA-141 at the femtomolar level with a low detection limit of 0.03 fM. Meanwhile, it exhibited high selectivity and accuracy, even for practical analysis in human serum. Therefore, the designed multiple signal amplification sandwich-type SERS biosensor would be a very promising alternative tool for the detection of miRNA and analogs in the field of biomedical diagnosis.
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SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
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2024
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IF 4.3
Yuhao Huang,Chen Chen,Chenjie Chang,Zhiyuan Cheng,Yang Liu,Xuehua Wang,Cheng Chen,Xiaoyi Lv
As artificial intelligence technology gains widespread adoption in biomedicine, the exploration of integrating biofluidic Raman spectroscopy for enhanced disease diagnosis opens up new prospects for the practical application of Raman spectroscopy in clinical settings. However, for systemic lupus erythematosus (SLE), origin Raman spectral data (ORS) have relatively weak signals, making it challenging to obtain ideal classification results. Although the surface enhancement technique can enhance the scattering signal of Raman spectroscopic data, the sensitivity of the SERS substrate to airborne impurities and the inhomogeneous distribution of hotspots degrade part of the signal. To fully utilize both kinds of data, this paper proposes a two-branch residual-attention network (DBRAN) fusion technique, which allows the ORS to complement the degraded portion and thus improve the model's classification accuracy. The features are extracted using the residual module, which retains the original features while extracting the deep features. At the same time, the study incorporates the attention module in both the upper and lower branches to handle the weight allocation of the two modal features more efficiently. The experimental results demonstrate that both the low-level fusion method and the intermediate-level fusion method can significantly improve the diagnostic accuracy of SLE disease classification compared with a single modality, in which the intermediate-level fusion of DBRAN achieves 100% classification accuracy, sensitivity, and specificity. The accuracy is improved by 10% and 7% compared with the ORS unimodal and the SERS unimodal modalities, respectively. The experiment, by fusing the multimodal spectral, realized rapid diagnosis of SLE disease by fusing multimodal spectral data, which provides a reference idea in the field of Raman spectroscopy and can be further promoted to clinical practical applications in the future.
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FOOD CHEMISTRY
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2024
·
IF 8.5
Xuan Fu,Limei Yin,Yang Zhang,Ruiyun Zhou,Hesham R. El-Seedi,Xiaobo Zou,Yunyun Gong,Zhiming Guo
Aflatoxin B1 (AFB1) is a prevalent contaminant in maize, posing significant threats to human health. This study designed Au Ag Janus NPs with intrinsic Raman signals as signal probes and SiO 2 @AgNPs as capture probes. The two were coupled through complementary base pairing to ensure the ordered, controlled distribution of noble metal nanoparticles. The Au Ag Janus NPs and the highly stable SiO 2 carrier is expected to avoid the adverse effects on stability caused by using signal molecules and the formation of random aggregates when using the noble metal nanoparticle gap effect to concentrate on the electromagnetic field. This study improved the negative impact of AgNPs' high surface energy on their uniformity, while enhancing the pH adaptability of Au Ag Janus NPs. In the presence of AFB1, the composite disintegrates, and the SERS intensity showed a negative correlation with AFB1 concentration, enabling highly sensitive and stable detection of AFB1.
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TALANTA
·
2025
·
IF 6.1
Kaisong Xu,Ziqiang Li,Jingshuang Zhang,Yuting Zhu,Qianjin Li,Jianlin Li
Raman Fingerprinting spectra detection of ochratoxin A (OTA) in food still meets serious challenge because of uncontrolled signal heterogeneity and poor reproducibility at low analyte concentrations. Here, OTA molecularly imprinted three-dimensional (3D) porous SERS substrate was prepared on the surfaces of magnetic inverse photonic crystal microspheres (MIPCMs) @AuNPs, and its Raman analytical enhancement factor can reach to 2.67 × 10 7 . The OTA imprinted polymer was synthesized using 3-aminopropyltriethoxysilane and phenyltriethoxysilane as the dual-functional monomers and Fmoc- d -Phenylalanine as the template molecule on the surfaces of MIPCMs. The functional microspheres can specifically enrich OTA and remarkably enhance the fingerprint Raman spectrum of OTA. The label-free 3D SERS substrate can rapidly quantitatively detect OTA by its fingerprint Raman spectrum, which shows a linear detection range of 10 −1 to 10 3 ng/mL, a limit of detection of 0.078 ng/mL, good recovery rates of 76–97 % and regeneration property. The developed SERS method can integrate enrichment and detection of OTA in one system, which has a great application prospect in simple, rapid and high sensitivity detection of OTA.
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SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
·
2024
·
IF 4.3
Jinyang Wang,Yue Feng,Huiliang Zhang,Longhao Han,Jin Xia,Guangjian Wang
The surface-enhanced Raman scattering (SERS) technique provides a quick and reliable method for detecting pesticide residues. In this study, flexible substrates, composed of orderly arranged silver nanospheres (Ag NPs) films on graphene paper, were fabricated through a simple, low-cost Ag NP self-assembly process at a liquid–liquid interface, followed by transfer of the films onto the graphene paper. The SERS performance of the fabricated substrates was evaluated using a portable Raman spectrometer, with rhodamine 6G (R6G) serving as the probe molecule. The results indicate that the bilayer Ag NP films-covered graphene paper exhibits optimal overall performance, characterized by high sensitivity and high uniformity. The limit of detection (LOD) for the R6G molecule is as low as 8.73 × 10 −9 M, demonstrating the strong signal amplification capability of the SERS substrate. Moreover, the relative standard deviation (RSD) of the Raman intensity at 1508 cm −1 for different selected points on the substrate is 5.018 %, indicating high uniformity of the SERS substrate. Finally, the performance of the SERS substrate was further evaluated by detecting thiram in fresh orange juice, demonstrating the capability to detect concentrations as low as 10 −6 M. This result highlights the significant potential of the developed SERS substrate for practical applications in food safety and quality control.
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JOURNAL OF FOOD COMPOSITION AND ANALYSIS
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2025
·
IF 4.6
Jianpeng Zhang,Miao Wang,Yongxin She,Fen Jin,Maojun Jin,Jing Wang,Guohua Zhang,A.M. Abd El-Aty
The excessive use of benzoic acid as a preservative in vinegar may pose health risks, highlighting the need for efficient monitoring methods. Conventional detection techniques are often costly, time intensive, and require complex sample preparation. Herein, a surface-enhanced Raman scattering (SERS) sensor on paper incorporating molecularly imprinted polymers (MIPs) was developed to enable rapid, sensitive, and selective detection of benzoic acid in rice vinegar. The sensor material (BA-MIPs@AgNPs) was synthesized via sodium borohydride reduction of silver nitrate, and its morphology and structural integrity were confirmed through electron microscopy and infrared spectroscopy, respectively. Comprehensive dynamic, static, selective, and anti-interference adsorption experiments were performed to assess the sensor’s binding performance and reliability. Under the optimized parameters, the MIP-SERS sensor exhibited a strong linear response for benzoic acid concentrations between 500–2500 mg/L, with a detection limit of 250 mg/L. The recovery rates for spiked samples ranged from 95.17 % to 102.32 %, indicating high accuracy. Statistical comparison via an independent sample t test revealed no significant difference between the results obtained via the MIP-SERS method and those obtained via standard HPLC, confirming its reproducibility and analytical precision. This work presents a cost-effective, environmentally conscious approach for food safety monitoring and quality assurance practices.
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