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ACS Sensors · 2024 · IF 8.2

In Situ Collection and SERS Detection of Nitrite in Exhalations on Facemasks Based on Wettability Differences

Chunning Chen,Jiaqi Liu,Jiaxin Lu,Yalei Wang,Jingtong Zhai,Hongkun Zhao,Nan Lu

As one of the common carriers of biological information, along with human urine specimens and blood, exhaled breath condensate (EBC) carries reliable and rich information about the body’s metabolism to track human physiological normal/abnormal states and environmental exposures. What is more, EBC has gained extensive attention because of the convenient and nondestructive sampling. Facemasks, which act as a physical filter barrier between human exhaled breath and inhaled substances from the external environment, are safe, noninvasive, and economic devices for direct sampling of human exhaled breath and inhaled substances. Inspired by the ability of fog collection of Namib desert beetle, a strategy for in situ collecting and detecting EBC with surface-enhanced Raman scattering is illustrated. Based on the intrinsic and unique wettability differences between the squares and the surrounding area of the pattern on facemasks, the hydrophilic squares can capture exhaled droplets and spontaneously enrich the analytes and silver nanocubes (AgNCs), resulting in good repeatability in situ detection. Using R6G as the probe molecule, the minimal detectable concentration can reach as low as 10–16 M, and the relative standard deviation is less than 7%. This proves that this strategy can achieve high detection sensitivity and high detection repeatability. Meanwhile, this strategy is applicable for portable nitrite analysis in EBC and may provide an inspiration for monitoring other biomarkers in EBC.

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SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY · 2024 · IF 4.3

Controlling the growth mode of Au depositing on Au nanobipyramids via ligand coverage for SERS enhancement

Haoyu Cai,Guojun Weng,Jianjun Li,Gaofeng Wu,Jian Zhu,Junwu Zhao

Gold deposition on Au nanoparticles is a common method to control the shape and further modify the properties of nanoparticles as their properties have a strong correlation with their nanostructures. For Au nanobipyramid (Au NBP), it has advantages such as the enhancement of electric field and a higher tunability in plasmon wavelength than the Au nanorod and thus owns a greater potential in shape control. In this paper, we demonstrate a scheme of depositing Au on the surface of Au NBP with the presence of a type of ligand 2-mercaptobenzoimidazole-5-carboxylic acid (MBIA) to synthesize Au NBP@Au dimers. The growth mode of Au depositing on Au NBP can be controlled by the coverage of MBIA. As the coverage is low, with a concentration of MBIA below 0.4 mM, the rough core–shell nanostructure is synthesized; However, as the coverage is high, with a concentration of MBIA over 0.8 mM, gold deposition may form islands on the surface of Au NBP. The SERS performance of Au depositing on Au NBP can also be enhanced by growth mode. For the rough-surface core–shell growth mode, the enhancement is more significant as the EF is improved from 3.5 × 10 5 to 1.06 × 10 6 than the islands-growing growth mode due to the coupling between core and shell. And our results show that with multiple types of nanosturctures easy to obtained by changing modified ligand coverage, the controlled growth has a great potential in the dimer design and SERS enhancement using Au NBP.

CAS / MDL: 58089-25-1
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MICROCHIMICA ACTA · 2024 ·Vol. 191 ·期 11 ·1-14 · IF 5.3

An easily fabricated nanoporous Au membrane in drug detection with reusable functionality and high SERS performance

Liu Yansheng,Sun Yukun,Jia Xiaobo,Zhou Jin,Li Kang,Li Zhaoxu,Wang Guofu

A method for detecting methamphetamine (MET), ketamine (KET), and morphine (MOP) molecules is presented using a reusable substrate based on SERS. The SERS substrate was prepared by etching the Au/Ag alloy film to synthesize a nanoporous Au membrane (AuNPM). By optimizing the preparation conditions and using rhodamine 6G (R6G) as an analyte, the AuNPM exhibited good SERS performance with a limit of detection (LOD) of 10 −9  mol L −1 . A competitive immunoassay category has been applied to the detection of MET, KET, and MOP. The MET, KET, and MOP antigens were functionalized on the surface of the AuNPM to specifically bind to the related drug antibodies. The Au nanoparticles (AuNPs) modified with 4-mercaptobenzoic acid (4-MBA) and antibodies against MET, KET, and MOP were used as nanotags. The 4-MBA served as the reporting molecule and drug antibodies were used to bind to free drug molecules in the target solution. The mixture of nanotags and target solution was dropped onto the antigen-modified AuNPM (antigen/AuNPM), and the free nanotags bind to the antigen/AuNPM. By comparing the SERS intensity of 4-MBA with the presence or absence of drug molecules, the drugs were qualitatively and quantitatively identified. Through this category, the LODs for detecting MET, KET, and MOP were 0.1, 1, and 1 ng mL −1 , respectively. This study proposes an effective method for constructing SERS-based detection of drug molecules with good potential for practical applications. Graphical abstract

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CHEMICAL ENGINEERING JOURNAL · 2024 · IF 13.3

Bisulfite-free detection of DNA methylation in early-stage lung cancer with a multiplex SERS immunoassay

Dechan Lu,Yanping Chen,Longfeng Ke,Zufang Huang,Yudong Lu,Jing Wang

DNA methylation is a promising biomarker for early cancer detection; however, traditional detection methods require bisulfite treatment and nucleic acid amplification, which are costly and impractical for point-of-care use. We propose a facile method that leverages immunoassays and surface-enhanced Raman scattering (SERS) readouts for the multiplex, sensitive, and portable detection of lung cancer-related DNA methylation biomarkers. This approach employs 5-methylcytosine antibody-modified magnetic probes to enrich methylated DNA sequences and uses core–shell nanoparticles with Probe DNA as SERS nanotags for multiplex detection, eliminating the need for bisulfite treatment and nucleic acid amplification. The multiplex SERS immunoassay detects synthetic methylated SHOX2 and RASSF1A with detection limits of 0.52 pM and 0.66 pM, respectively. It shows a strong correlation with quantitative PCR results in analyzing methylated SHOX2 and RASSF1A from cell lines and formalin-fixed paraffin-embedded tissue samples (n = 35). Additionally, the random forest analysis based on methylated SHOX2 and RASSF1A expression distinguishes lung cancer from benign lung diseases with a clinical sensitivity of 96 %, specificity of 90 %, and an AUC value of 0.972. This method offers a significant advancement for DNA methylation research and clinical applications.

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MICROCHIMICA ACTA · 2025 ·Vol. 192 ·期 2 ·1-8 · IF 5.3

Microfluidic synthesis of gold nanoparticle-doped microspherical photonic crystal as SERS substrate for methylene blue detection

Zhang Luyang,Chen Huan,Ma Shanshan,Fan Wu,Chen Sheng,Yu Ajuan,Yuan Hang,Ouyang Gangfeng,Zhang Yanhao,Zhao Wuduo

A novel microfluidic approach is presented for the one-step synthesis of gold nanoparticle-doped microspherical photonic crystal (AuNP–MPC) for ultrasensitive surface-enhanced Raman spectroscopy (SERS) detection of methylene blue (MB), a common environmental pollutant. The AuNP–MPC microspheres exhibited excellent SERS activity due to the surface plasmon resonance of Au nanoparticles. And the SERS signal was significantly enhanced by strategically manipulating the photonic band gap (PBG) of the AuNP–MPC microspheres to achieve optimal overlap with the excitation laser wavelength. The SERS signal of MB was significantly enhanced by this, reaching an EF as high as 3.03 × 10 6 . The AuNP–MPC microspheres demonstrated rapid adsorption of MB within just 5 min, making them suitable for rapid detection applications. Notably, the limit of quantification was as low as 1 × 10 −8  mol/L, highlighting the exceptional sensitivity of this approach. Furthermore, the AuNP–MPC microspheres exhibited excellent homogeneity, reproducibility, and stability of SERS signals, which are crucial qualities for practical SERS applications. This work presents a promising avenue for developing SERS-active microfluidic platforms for the rapid detection of trace organic pollutants in environmental monitoring. Graphical

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Nanophotonics · 2024 ·Vol. 13 ·期 3 ·307-318 · IF 6.5

Micro-nano hierarchical urchin-like ZnO/Ag hollow sphere for SERS detection and photodegradation of antibiotics

Yang Jiao,Yuanyuan Pan,Moru Yang,Zhen Li,Jing Yu,Rong Fu,Baoyuan Man,Chao Zhang,Xiaofei Zhao

Hollow urchin-like substrates have been widely interested in the field of surface-enhanced Raman scattering (SERS) and photocatalysis. However, most reported studies are simple nanoscale urchin-like substrate with limited light trapping range and complicated preparation process. In this paper, a simple and effective controllable synthesis strategy based on micro-nano hierarchical urchin-like ZnO/Ag hollow spheres was prepared. Compared with the 2D structure and solid spheres, the 3D urchin-like ZnO/Ag hollow sphere has higher laser utilization and more exposed specific surface area due to its special hollow structure, which resulted in excellent SERS and photocatalytic performance, and successfully realize the detection and photodegradation of antibiotics. The limited of detection of metronidazole can reach as low as 10 −9  M, and degradation rate achieve 89 % within 120 min. The experimental and theoretical results confirm that the ZnO/Ag hollow spheres can be used in the development of ZnO heterostructure for the detection and degradation of antibiotics, which open new avenues for the development of novel ZnO-based substrate in SERS sensing and catalytic application to address environmental challenges.

CAS / MDL: 100-97-0 989-38-8
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ANALYTICAL CHEMISTRY · 2024 · IF 6.7

Plasmonic Coacervate as a Droplet-Based SERS Platform for Rapid Enrichment and Microanalysis of Hydrophobic Payloads

Lichun Ning,Junbo Li,Qinhui Xie,Jianing Hu,Jian Liu,Cheng Xu,Jinsong Peng,Chunxia Chen,Wei Ji

A novel and simple coacervate microdroplet-based detection platform for the quantification of trace hydrophobic analytes is presented. Herein, taking advantage of the effective encapsulation and enrichment performance of the condensed coacervates, plasmonic metallic silver nanoparticles (AgNPs) and target hydrophobic analytes are simultaneously concentrated into a single microdroplet. The coencapsulation of AgNPs within coacervates promotes the formation of aggregates with a lot of “hot spots” for surface-enhanced Raman scattering (SERS) enhancement, facilitating the sensitive analysis of hydrophobic analytes by SERS technology. Such plasmonic coacervates are easily prepared and exhibit good reproducibility and signal uniformity. Optimized SERS performance by modulating the volume of encapsulated AgNPs enables quantitative determination of hydrophobic analytes of Nile Red, chlorpyrifos, benzo[e]pyrene, 20 and 50 nm polystyrene nanoplastics with low detection limits of 10–12 M, 10–9 M, 10–10 M, 0.05 ppb, and 0.5 ppb, and an approximately linear correlation between SERS signals and the analytical concentrations. This study opens a new convenient SERS platform for the ultrasensitive detection of hydrophobic hazardous substances, potentially becoming a rapid analysis method for extensive applications ranging from food safety to environment monitoring.

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ACS Applied Nano Materials · 2024 · IF 5.3

Site-Specific Growth of Ag Islands on Concave Au Nanocubes for SERS and LSPR-Based Applications

Zhiwei Wang,Yefan Zhou,Junsheng Wang,Yun Wang,Jianwei Zhao,Wenjia Xu,Yuhua Feng

Currently, hybrid noble metal nanostructures have garnered significant interest due to their exceptional properties and diverse applications in fields such as catalysis, energy conversion, plasmonic sensing, and surface-enhanced Raman scattering (SERS). In this work, we report the highly site-specific growth of a single Ag island on both the concave face and the sharp tip of concave Au nanocube (c-AuNC) seeds, resulting in different c-AuNC-Ag Janus heterostructures. This site specificity was achieved by combining the surface curvature effect of the c-AuNCs with strong ligand-mediated interfacial energy control. Further integration of interfacial energy and growth kinetic control led to the formation of c-AuNC-(Ag)n core–satellite structures with varying numbers of Ag satellites. Benefiting from the continuous tunability of the interfacial energy and growth kinetics, the structural evolution of the c-AuNC-Ag hybrid structures continuously occurred, enabling precise control of the Au–Ag bimetallic structures. Notably, the resulting c-AuNC-Ag structures showed tunable intense localized surface plasmon resonance (LSPR) absorptions within the 400–1000 nm wavelength along with strong SERS signals. The broad spectral absorption and strong SERS made the c-AuNC-Ag structures promising candidates for SERS and LSPR-based applications, including sensing, imaging, light energy harvesting, and conversion. Moreover, the effective synthetic control demonstrated in this work could facilitate the development of advanced hybrid metal nanomaterials with valuable properties, further broadening their application potential across various fields.

CAS / MDL: 123-31-9
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MICROCHEMICAL JOURNAL · 2024 · IF 4.9

Machine learning-driven Ag/SiO2/Cu/rice leaf SERS platform for intelligent identification of pharmacodynamic substances

Zelong Li,Xue Han,Lan Fu,Guochao Shi,Shiqi Xu,Mingli Wang,Wenzhi Yuan,Wenying Zhou,Jiahao Cui

The combination of surface-enhanced Raman scattering (SERS) and machine learning algorithm provides an effective means for the identification of pharmacodynamic substances. This paper reported a biomimetic synthesis route of Ag-30/SiO 2 -4/Cu-20/rice leaf (Ag-30/SiO 2 -4/Cu-20/RL) SERS platform with multiple synergistic electromagnetic enhanced performance. The localized surface plasmon resonance (LSPR) effect was strengthened as the SiO 2 nanolayer generated between Ag and Cu. This SERS platform demonstrated high sensitivity, with a low limit of detection (LOD) of 1 × 10 −10  M for 4-Aminophenylthiophenol (4-ATP) and an enhancement factor (EF) of 3.86 × 10 6 . More importantly, the principal component analysis (PCA) was adopted to analyze the SERS data of three different Traditional Chinese medicine (TCM) pharmacodynamic substances (Orientin, Atractylenolide III and Prim-o-glucosylcimifugin). The K-nearest neighbor (KNN) and Naïve Bayes (NB) achieved classification accuracy of 0.9474 and 0.9649, respectively. The platform provides guidance for the accurate identification of TCM pharmacodynamic substances.

CAS / MDL: 1193-02-8
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SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY · 2024 · IF 4.3

Non-invasive detection of systemic lupus erythematosus using SERS serum detection technology and deep learning algorithms

Xuehua Wang,Junwei Hou,Chen Chen,Zhenhong Jia,Enguang Zuo,Chenjie Chang,Yuhao Huang,Cheng Chen,Xiaoyi Lv

Systemic lupus erythematosus (SLE) is an autoimmune disease with multiple symptoms, and its rapid screening is the research focus of surface-enhanced Raman scattering (SERS) technology. In this study, gold@silver-porous silicon (Au@Ag-PSi) composite substrates were synthesized by electrochemical etching and in-situ reduction methods, which showed excellent sensitivity and accuracy in the detection of rhodamine 6G (R6G) and serum from SLE patients. SERS technology was combined with deep learning algorithms to model serum features using selected CNN, AlexNet, and RF models. 92 % accuracy was achieved in classifying SLE patients by CNN models, and the reliability of these models in accurately identifying sera was verified by ROC curve analysis. This study highlights the great potential of Au@Ag-PSi substrate in SERS detection and introduces a novel deep learning approach for SERS for accurate screening of SLE. The proposed method and composite substrate provide significant value for rapid, accurate, and noninvasive SLE screening and provide insights into SERS-based diagnostic techniques.

CAS / MDL: 16903-35-8
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TALANTA · 2025 · IF 6.1

Shape-controlled asymmetric bowl-like PDA@Au substrates for sensitive SERS detection of anabolic androgenic steroids

Yuanyuan Li,Jiayi Peng,Hong Chen,Weiling Yue,Yixuan Liu,Xiaojun Luo,Lu Yang

The widespread accumulation of androgenic steroid endocrine disruptors in water and food has garnered increasing attention due to their significant risks to ecosystems and human health. These steroids, which cannot be completely eliminated, highlight the urgent need for advanced detection technologies. In this study, we present a novel emulsion-induced interface-anisotropic assembly strategy to synthesize bowl-like mesoporous polydopamine (PDA) particles, which exhibit high sensitivity in surface-enhanced Raman scattering (SERS) detection. In-situ reduction of chloroauric acid leads to the formation of Au nanoparticles (NPs) on the PDA surface, where synergistic Au-N interactions enhance the SERS performance. The distinctive bowl-like structure generates abundant "hot spots" on both sides, resulting in exceptional sensitivity. The low relative standard deviation (RSD) values (<11.7 %) across different PDA@Au NPs, along with real sample analyses (1.9–4.0 %), confirm the high reproducibility and uniformity of the SERS substrates, all achieved without the use of additional reducing agents. This cost-effective and straightforward method eliminates the need for complex surface treatments, making it particularly suitable for real-time detection of anabolic steroids across various matrices. These findings underscore the potential of bowl-like PDA materials for broader applications in clinical diagnostics, environmental monitoring, and sports doping control.

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FOOD CHEMISTRY · 2024 · IF 8.5

SERS imaging investigation of the removal efficiency of pesticide on vegetable leaves by using different surfactants

Sugui Fang,Li Fan,Yulian Niu,Guoshuai Jiao,Haidong Jia,Feng Wang,Haifeng Yang,Yan Kang

Pesticide residues on vegetables could be removed by commercial detergents to guarantee food safety, but the removal efficiencies of different formulations of detergents need to be further investigated. In this work, surface enhanced Raman scattering (SERS) imaging method due to its good space resolution as well as high sensitivity is used to track the thiram residue, and evaluate the pesticide removing efficiencies by mixtures of several surfactants at different ratios. Sodium linear alkylbenzene sulphonate-alkyl glycoside (LAS-APG) with the ratio at 5:5 and the concentration at 0.2 % show the best removing effect. In addition, HPLC method is employed to validate the results of SERS imaging. Furthermore, LAS-APG mixture could be efficiently washed out from the leaves through simple household cleaning, meaning no secondary contamination. It is perspective that SERS imaging is an effective technique to explore the effect of fruit and vegetable detergents in removing pesticide residues.

CAS / MDL: 16961-25-4 67-56-1
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