JACS Au
·
2024
·
IF 8.5
Yusi Peng,Lili Yang,Yanyan Li,Weida Zhang,Meimei Xu,Chenglong Lin,Jianjun Liu,Zhengren Huang,Yong Yang
Motivated by the desire for more sensitivity and stable surface-enhanced Raman scattering (SERS) substrates to trace detect chloramphenicol due to its high toxicity and ubiquity, MXene has attracted increasing attention and is encountering the high-priority task of further observably improving detection sensitivity. Herein, a universal SERS optimization strategy that incorporates NH4VO3 to induce few-layer MXenes assembling into multiporous nanosheet stacking structures was innovatively proposed. The synthesized Nb2C-based multiporous nanosheet stacking structure can achieve a low limit of detection of 10–10 M and a high enhancement factor of 2.6 × 109 for MeB molecules, whose detection sensitivity is improved by 3 orders of magnitude relative to few-layer Nb2C MXenes. Such remarkably enhanced SERS sensitivity mainly originates from the multiple synergistic contributions of the developed physical adsorption, the chemical enhancement, and the conspicuously improved electromagnetic enhancement arising from the intersecting MXenes. Furthermore, the improved SERS sensitivity endows Nb2C-based multiporous structures with the capability to achieve ultrasensitive detection of chloramphenicol with a wide linear range from 100 μg/mL to 1 ng/mL. We believe it is of great significance in conspicuously developing the SERS sensitivity of other MXenes with surficial negative charges and has a great promising perspective for the trace detection of other antibiotics in microsystems.
✓ 已验证
产品关联
DOI
PubMed
高影响因子
JOURNAL OF ALLOYS AND COMPOUNDS
·
2024
·
IF 5.8
Yu Wu,Yuan Cong,Wenshi Zhao,Sicheng Cui,Boya Ma,Hanying Zhao,Yuhang Cao,He Liu,Yang Liu
Because of its broad antibacterial range, the fluoroquinolone antibiotic ciprofloxacin (CIP) has been used extensively to treat bacterial infections in humans. However, it has been demonstrated that the excessive use of CIP will endanger human health and destroy the ecological environment. Therefore, rapid, facile and accurate detection of CIP is essential for real-world applications. In this study, a novel surface-enhanced Raman scattering (SERS) sensor with self-cleaning ability was synthesized and successfully employed for ultra-sensitive and specific detection of CIP. Specifically, ZnFe 2 O 4 @SiO 2 -Au (ZSAu) nanocomposites (NCs) with different Au nanocrystals gap were developed. The relationship between various Au nanocrystals gap and SERS performance was investigated using finite-difference time-domain (FDTD) method. The solid-state Raman scattering spectrum of CIP molecule was also optimized and calculated using the density functional theory (DFT) method. After modifying with molecularly imprinted polymers (MIPs), ZSAu-MIPs NCs achieved specific detection of CIP in water environments, with the detection limit of low as 10 −9 M for CIP. A strong linear correlation between SERS intensity and the logarithm of CIP concentration suggested that ZSAu-MIPs NCs could be applied for quantitative detection of CIP at uncertain concentrations. In addition, ZSAu-MIPs NCs with self-cleaning ability could be recycled and reused with the assistance of magnet. After six cycles, ZSAu-MIPs NCs still exhibited good SERS performance. This magnetic MIPs-based SERS sensor offers a promising and recyclable method for ultra-sensitive detection of CIP in complex water environments.
✓ 已验证
产品关联
DOI
高影响因子
ANALYTICA CHIMICA ACTA
·
2024
·
IF 5.7
Kexi Sun,Chao Liu,Yi Cao,Jianxia Zhu,Jialin Li,Qing Huang
Background Rapid and accurate detection of glutathione content in human blood plays an important role in real-time tracking of related diseases. Currently, surface-enhanced Raman scattering/spectroscopy (SERS) combined with nanozyme material has been proven to have excellent properties in the detection applications compared to many other methods because of it combines the advantages of trace detection capability of SERS and efficient catalytic activity of nanozymes. However, there are still existing problems in real sample detection, and to achieve quantitative detection is still challenging. Results In this study, gold nanoparticles (AuNPs) were synthesized in situ on the surface of two-dimensional Cu-porphyrin metal-organic framework (MOF) nanosheets to produce the AuNPs@Cu-porphyrin MOF nanozyme, which exhibited both oxidase-like activity and SERS detection ability. On one hand, the intrinsic oxidase-like activity of the nanozyme could be inhibited due to the chelation of glutathione (GSH) and Cu, which thus led to the visual color change of the solution. On the other hand, the abundant Raman “hot spots” at the nanogap generated by Au NPs and the internal standard (IS) signal provided by Cu- meso -tetra (4-carboxyphenyl) porphine (Cu-TCPP) MOF improved the sensitivity and quantitative accuracy of detection. Significance and novelty A dual-mode signal output sensor based on the nanozyme was thus established, which could be used in the trace detection of GSH. Such a dual-mode sensor possesses excellent detection performance, with the advantage of both wide detection range from 1 to 300 μM in the colorimetric detection mode and high sensitivity with LOD of 5 nM in the SERS detection mode, and can be applied to GSH detection in actual serum samples with reliable results.
✓ 已验证
产品关联
DOI
PubMed
高影响因子
SENSORS AND ACTUATORS B-CHEMICAL
·
2025
·
IF 7.7
XianWei Wang,Yue Zhai,Yuanhui Chen,Wei Zhang,Pei Liang,Qiangqiang Zhu,Hong Zhang,Juan Kang,Le Wang
s The development of a highly sensitive and reliable surface-enhanced Raman scattering (SERS) substrate is crucial for overcoming the limitations in its practical applications. Herein, a novel 3D waffle-like SERS substrate with high activity is constructed for detecting trace amounts of myricetin in complex analytes extracted from green tea. The substrate is achieved through a layered ternary film structure, where ordered poly (methyl methacrylate) opal photonic crystals (PMMA OPCs) serving as a 3D hot spots template and enhancing the performance of CsPbBr 3 film that facilitates efficient charge transport, and an Au film covered over the CsPbBr 3 film modulating the vibronic coupling and providing plasmonic hot spots. The PMMA-CsPbBr 3 -Au substrate exhibits a low detection limit of 10 −10 M with an 8.9 × 10 7 enhancement factor, signal repeatability and stability for R6G molecules. Furthermore, the SERS detection of myricetin content in Longjing green tea from different years is carried out, and the results show a good linear positive correlation with storage years (R 2 =98.2 %), demonstrating the potential application of 3D substrate for sensitive and reproducible SERS.
✓ 已验证
产品关联
DOI
高影响因子
TALANTA
·
2024
·
IF 5.6
Shanshan Lin,Yunsi Zheng,Yanlong Xing,Kun Dou,Rui Wang,Hongwang Cui,Rui Wang,Fabiao Yu
Staphylococcus aureus ( S. aureus ) is the most common pathogen in human purulent infections, which can cause local purulent infections, as well as pneumonia, pseudomembranous enteritis, pericarditis, and even systemic infections. The conventional methods including bacteria colony counting, polymerase chain reaction and enzyme-linked immunosorbent assay can't fully meet the requirement of highly sensitive detection of S. aureus due to their own disadvantages. Therefore, it's an urgent need to develop new platform to detect S. aureus in the early infection stage. In this study, a new surface-enhanced Raman scattering (SERS)-based nanoplatform based on dual-recognition of aptamer (Apt) and vancomycin (Van) was developed for the highly sensitive detection of S. aureus . The SERS nanoplatform consisted of two functional parts: aptamer-conjugated Fe 3 O 4 magnetic nanoparticles (Fe 3 O 4 -Apt MNPs) for bacteria enrichment and vancomycin modified-Au nanoparticles (Van-Au NPs) as the SERS probes for S. aureus quantitative detection. Upon the target bacteria enrichment, the SERS signals of the supernatant after magnetic separation could be obtained and analyzed under different concentrations of S. aureus . The limit of detection of the proposed assay was found to be 3.27 CFU/mL. We believe that the proposed SERS-based nanoplatform has great potential as a powerful tool in the early detection of specific bacteria.
✓ 已验证
产品关联
DOI
PubMed
高影响因子
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
·
2024
·
IF 4.3
Heng Guo,Hongji Li,Mengyang Xu,Juan Zhou,Dan Zhang,Dandan Wang,Wei Sun
In this study, a core–shell structured bimetallic nano-cube, Au@Ag NCs, was prepared by seed-mediated growth procedure. The array structure of Au@Ag NCs was achieved at the interface through the autonomous assembly technique at the three-phase boundary. Employing polydimethylsiloxane (PDMS) as a flexible carrier, the array structure was effortlessly transferred to the PDMS membrane, bypassing the need for rigid substrates through a simple “pasting” method. This yielded a highly flexible and transparent SERS substrate with an array structure (Au@Ag NCs/PDMS membrane, AAP). In order to promote the selective detection property to the practical samples, molecularly imprinted polymers (MIPs) were coated on the surface of membrane to prepare the imprinted membrane (Au@Ag NCs/PDMS-MIMs, AAP-MIMs). It was demonstrated from the results that the AAP-MIMs exhibited high SERS sensitivity, stability, and uniformity. Furthermore, the flexible substrate possessed commendable mechanical strength, and facilitated the detection of analytes on irregular surfaces. In summary, this substrate held promising potential for practical on-site detection and analysis of specific target substances.
✓ 已验证
产品关联
DOI
PubMed
高影响因子
Bioengineering & Translational Medicine
·
2025
·
IF 5.7
Qunshan Zhu,Gaoyang Chen,Lei Fu,Dawei Cao,Zhenguang Wang,Yan Yang,Wei Wei
Colorectal precancerous lesions (CRP) are early signs of cancer development, and early detection helps prevent progression to colorectal cancer (CRC), reducing incidence and mortality rates. This study developed a serum detection platform integrating surface-enhanced Raman scattering (SERS) with machine learning (ML) for early detection of CRP. Specifically, a microarray chip with Au/SnO 2 nanorope arrays (Au/SnO 2 NRAs) substrate was designed for SERS spectral measurement of serum. The Principal Component Analysis (PCA)-Optimal Class Discrimination and Compactness Optimization (OCDCO) model was proposed to identify CRP spectra. The results demonstrated that the microarray chip exhibited superior portability, SERS activity, stability, and uniformity. Through PCA-OCDCO, the serum samples from healthy controls, CRP patients, and CRC patients were effectively classified, and several key spectral features for distinguishing different groups were identified. The established PCA-OCDCO model achieved outstanding performance, with an accuracy of 97%, a sensitivity of 95%, a specificity of 97%, and an AUC of 0.96. This study suggests that the platform, integrating SERS with the PCA-OCDCO model, holds potential for the early detection of CRP, providing an approach for CRP prevention and clinical diagnostics.
✓ 已验证
产品关联
DOI
PubMed
高影响因子
CHEMICAL ENGINEERING JOURNAL
·
2025
·
IF 13.2
Hui Ma,Jingyuan Zhao,Meng Sun,Jie He,Jun Liu,Jiebo Mi,Kongxiang Zhao,Jing Su,Kang Tu,Jing Peng,Weijie Lan,Leiqing Pan
Irregular shrinkage induced by traditional dehydration methods restricts the robustness and sensitivity of hydrogel surface-enhanced Raman scattering (SERS) sensors in chemical analysis, despite increased signal intensity. Herein, a novel strategy employing ethanol dehydration (ED)-mediated isotropic shrinkage of silver nanoparticles@polyacrylamide (Ag@PAM) is proposed for reliable and versatile pesticide sensing. Isotropic shrinkage draws Ag nanoparticles (AgNPs) closer together, intensifying “hotspots” distribution and analyte enrichment, achieving a 17.00-fold Raman signal increase for 4-nitrothiophenol (4-NBT). Compared to air drying (AD), ED-Ag@PAM demonstrates rapid SERS enhancement within 12 min, improved homogeneity (RSD < 10 %), and greater sensitivity to 4-NBT, with a limit of detection (LOD) as low as 2.21 × 10 –12 M (∼3.43 × 10 –13 g·mL −1 (S/N = 3)). The SERS sensor exhibits high sensitivity for thiram (a dithiocarbamate fungicide) and thiabendazole (TBZ, a systemic benzimidazole fungicide and parasite deodorizer) in liquid environments, with LODs of 5.26 × 10 –10 g·mL −1 and 3.00 × 10 –8 g·mL −1 , respectively. A satisfactory recovery rate (82.78 %–115.12 %) in fruit juices highlights robust anti-interference capabilities in complex metrices. Moreover, the SERS method was effectively applied to curved fruit surfaces for trace detection of thiram and TBZ, achieving recovery rates between 82.50 % and 115.35 %. The proposed ED-mediated sensor offers simplicity, rapid response, high sensitivity, and versatility for both liquid environments and curved surfaces, presenting promising potential for diverse on-situ analytical applications.
✓ 已验证
产品关联
DOI
高影响因子
PHYSICS LETTERS A
·
2025
·
IF 2.6
YuanZe Xu,HaiPeng Si,ShiCai Xu,WeiHao Liu,ZeZheng Zhang,Jian Shi,ShouZhen Jiang
Traditional surface-enhanced Raman scattering (SERS) substrates typically rely on electromagnetic enhancement, which is predominantly generated by noble metal particles. While their practical limitations hinder widespread application. In contrast, semiconductor substrates have garnered increasing attention in the SERS field due to their capacity to address many of the shortcomings associated with noble metal particles. In this study, we investigated the SERS effect and enhancement mechanism of a novel transition metal carbide (ZrC), further enhancing its performance through morphological alterations and element doping. The detection limits for Rhodamine 6G and Methylene blue using the prepared substrate were found to be remarkably low at 1 × 10 -8 M and 1 × 10 -6 M. To elucidate the enhancement mechanism, Density Functional Theory and Finite Element Analysis were employed. These simulations demonstrated that the observed enhancement arises from chemical mechanisms. The charge transfer process between the SERS substrate and the probe molecule resulted in significantly amplified Raman signals.
✓ 已验证
产品关联
DOI
高影响因子
SENSORS AND ACTUATORS B-CHEMICAL
·
2024
·
IF 8
Ying Li,Kang Liu,Xin Li,Xuan Jin,Jinze Lyu,Yuebing Xu,Haiyan Zhu,Gang Shi
It is difficult for metal-modified semiconductor nanotubes to obtain surface-enhanced Raman scattering (SERS) substrates through long-range ordered 3D assembly, which adversely affects both Raman signal enhancement and Raman signal uniformity. Here, ZnFe 2 O 4 nanotubes with Ag nanoparticles modified on the inner and outer walls are induced to grow on the surface of the ordered Si pyramid by ZnO nanonedles as sacrificial templates. In this way, the composite nanotubes (Ag/ZnFe 2 O 4 ) are assembled into dandelion flower-like 3D aggregates with a periodic arrangement of hexagonal close packing. This 3D ordered SERS substrate based on Ag/ZnFe 2 O 4 nanotubes has excellent anti-reflective performance and carrier separation ability, which is conducive to the enhancement of Raman signal. When the SERS substrate is used as a sensor, it can achieve the single molecule (10 −13 M) detection level of Rhodamine 6 G, the enhancement factor (EF) is 3.14 × 10 9 , and the linear fit (R 2 ) of quantitative analysis is as high as 0.998 from 10 −13 to 10 −4 M. Meanwhile, the long-range ordered arrays on the SERS substrate can ensure the signal uniformity of sensor, which relative standard deviation (RSD) is as low as 3.37 %. In addition, the photocatalytic self-cleaning capability of SERS substrate ensures that the sensor can be reused. Finally, the mechanism of the photogenerated carrier migration of Ag/ZnFe 2 O 4 and its contribution to Raman signal enhancement were analyzed.
✓ 已验证
产品关联
DOI
高影响因子
MICROCHIMICA ACTA
·
2025
·Vol. 192
·期 4
·1-12
·
IF 5.3
Wu Wei,Han En,Ma Lixin,Zhou Ruiyun,Wang Chen,Bai Junwen,Cai Jianrong
A label-free surface-enhanced Raman scattering (SERS) sensor using optimal bimetallic Au@Ag nanocuboids (Au@Ag NCs) was developed for ultrasensitive detection of florfenicol residue in eggs. The Raman characteristic peaks of florfenicol detection were identified at 1145 cm −1 and 1595 cm −1 which were consistent with the theoretical Raman spectrum of florfenicol calculated by density functional theory. The Au@Ag NCs were optimized by changing the aspect ratio of Au nanorods and the thickness of Ag nanocuboids, achieving an enhancement factor of 1.69 × 10 6 for SERS signals. Under optimal conditions, the label-free SERS sensor demonstrated a broad linear range of 0.01 mg/kg to 100 mg/kg for florfenicol in real sample. The limit of detection of florfenicol in eggs was as low as 0.0410 μg/kg, and the recovery was 94.83% ~ 108.24%. Therefore, this label-free SERS sensor offers a rapid and sensitive approach for the trace detection of florfenicol residues in food safety monitoring. Graphical abstract
✓ 已验证
产品关联
DOI
PubMed
高影响因子
JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY B-BIOLOGY
·
2024
·
IF 3.9
Jun Zhang,Youliang Weng,Yi Liu,Nan Wang,Shangyuan Feng,Sufang Qiu,Duo Lin
Nasopharyngeal cancer (NPC) is a malignant tumor with high prevalence in Southeast Asia and highly invasive and metastatic characteristics. Radiotherapy is the primary strategy for NPC treatment , however there is still lack of effect method for predicting the radioresistance that is the main reason for treatment failure. Herein, the molecular profiles of patient plasma from NPC with radiotherapy sensitivity and resistance groups as well as healthy group, respectively, were explored by label-free surface enhanced Raman spectroscopy (SERS) based on surface plasmon resonance for the first time. Especially, the components with different molecular weight sizes were analyzed via the separation process, helping to avoid the possible missing of diagnostic information due to the competitive adsorption. Following that, robust machine learning algorithm based on principal component analysis and linear discriminant analysis (PCA-LDA) was employed to extract the feature of blood-SERS data and establish an effective predictive model with the accuracy of 96.7% for identifying the radiotherapy resistance subjects from sensitivity ones, and 100% for identifying the NPC subjects from healthy ones. This work demonstrates the potential of molecular separation-assisted label-free SERS combined with machine learning for NPC screening and treatment strategy guidance in clinical scenario.
✓ 已验证
产品关联
DOI
PubMed
高影响因子
危险品化学品经营许可证（带存储）