LWT-FOOD SCIENCE AND TECHNOLOGY
·
2024
·
IF 6
Peipei Xu,Qingling Nie,Runbing Huang,Jing Shi,Junjie Ren,Ruiyun You,Hengfang Wang,Yan Yang,Yudong Lu
Camellia oil (CAO) is a high-quality edible vegetable oil, commonly known as “Oriental olive oil," with medical value and biological activity, but easily adulterated. Currently, we developed a method that combines Surface Enhanced Raman Spectroscopy (SERS) with machine learning for the effective identification of camellia oil. SERS is essential in this context because it significantly enhances the sensitivity and specificity of the detection process, allowing for the identification of even minor adulterations that traditional methods may overlook. We employed SERS spectra of both pure and adulterated camellia oil on an NPAg sheet coated with 4-thiobenzonitrile (4MBN) at a concentration of 0.02% for the machine learning analysis. The utilization of 4MBN for signal generation within the Raman silent region further enhances the stability of spectral acquisition and ensures more accurate results. The k nearest neighbors (KNN) model exhibited superior performance, achieving a test set accuracy of 97.24%. Consequently, the NPAg sheet@ [email protected] %ER strategy, designed to amplify compositional differences in edible oils, emerges as an effective tool for rapidly verifying the authenticity of such oils.
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MICROCHEMICAL JOURNAL
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2024
·
IF 4.9
Dingkun Yang,Yu Lei,Zhou Fan,Weigen Chen,Fu Wan
Surface-enhanced Raman scattering (SERS), functioning as a highly sensitive trace detection tool, has gained popularity as an analytical technique and is extensively employed in diverse domains such as electrical engineering. In this paper, the exploration is conducted regarding the application of surface-enhancement technology in the quantitative detection of the aging characteristics of transformer oil-paper insulation. Flower-like silver nanoparticles (AgNPs) were deposited in situ on a copper foil coated with porous graphene, thereby fabricating a Cu-graphene (porous)-AgNPs surface-enhanced substrate. This substrate effectively prevented the oxidation of nanoparticles while maintaining the SERS activity. By creating apertures in graphene, the adsorption capability of the substrate for organic small molecules like furfural was enhanced, and the size of silver nanoparticles was optimized to achieve better detection outcomes. The performance of the substrate was evaluated using R6G as the probe molecule, and the findings indicated that the substrate exhibited excellent sensitivity, uniformity (RSD values are below 10 %), and antioxidant properties (after 30 days, the peak strength decreased by 8.23 %). When this substrate was utilized for the detection of transformer aging characteristics, the detection limits for furfural, acetone, and methanol reached 0.04 mg/L, 0.18 mg/L, and 0.18 mg/L respectively, fulfilling the analytical requirements of oil-immersed transformers. This research holds significant importance in guaranteeing the stable operation of the power supply system and the smooth development of the national economy.
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ANALYTICA CHIMICA ACTA
·
2024
·
IF 5.7
Shuqian Wang,Jinli Qin,Yin Liang,Youai Ye,Yamei Guo,Shushu Li,Xiao Yang,Yong Liang
ABSTRACT Acute myocardial infarction is a sudden and high-mortality disease that can be accurately diagnosed by measuring the level of cardiac troponin I in the blood. Currently, cTnI commonly used clinical detection methods usually have excellent sensitivity and are suitable for large-scale sample detection analysis. However, most of these methods are operated through multiple steps of fixation, incubation, reaction and separation, and most of them require professionals to operate complex instruments, which greatly limits their applicability in real-time rapid detection. Therefore, a method that requires low professional skills and can perform rapid detection is necessary. We presents an alternative strategy to quantify cTnI in clinical serum samples using a combination of SERS and magnetic molecularly imprinted polymers (MMIP). MMIPs was synthesized under Polyvinyl Pyrrolidone (PVP) conditions without vinyl modification using characteristic peptide as template, MAA and DMAm as functional monomers. The internal Raman probe 4-MBA was connected through Ag-SH bonds in MMIPs to solve the problem that the target object had no Raman characteristic peak. MMIPs with high magnetic and adsorptive properties showed characteristic absorption peaks at the Raman shift of 1582 cm -1 after specific capture of the target templates. The Raman signals of the 4-MBA were reduced due to shielding effects and the detection range of this method was 0.001-100 ng·mL -1 . The recoveries and relative standard deviations (RSDs) of the spiked experiments were 103.1%-106.3% and 3.54 %-7.38 %, respectively. In summary, this work had appropriate sensitivity and specificity, and there was no significant difference in detection results after ELISA verification. It provided a flexible and practical analysis method for detecting cTnI based on SERS technology. In addition, the imprinting materials of other disease markers can be prepared by changing the template molecules, which provides a new idea for the detection of other biomarkers.
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Engineering Research Express
·
2024
·Vol. 6
·期 2
·025015
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IF 1.5
Wenlong Deng,Linyu Mei,Yue Niu,Zicheng Zhang,Yunpeng Shao
Metal–organic framework (MOF) materials have been increasingly used owing to their high porosity, chemical stability, and semiconducting properties. With the help of MOF materials, MOF-based SERS substrates can exhibit high sensitivity. Herein, we proposed a flower-like Ag nanoparticles (AgNFs)/metal–organic framework (MOF)/ carbon fiber cloth (CFC) substrate-based surface-enhanced Raman scattering (SERS) sensor for the high-sensitive detection of dye molecules. MOF is used as a signal amplifier to accelerate the approach of dye molecules near AgNFs on the MOF surface and anchor AgNFs on the substrate surface. The detection occurred on the AgNFs/MOF/CFC SERS substrate, providing an enhancement factor (EF) of 5.53 × 107. Benefitting from the signal amplification function of AgNFs/MOF/CFC and the superiority of SERS, this sensor represented high sensitivity performance and a wide detection range. Importantly, the combination of Co elements with silver in the AgNFs/MOF/CFC composite substrate enhances the resistance of Ag to oxidation by atmospheric moisture resulting in excellent stability (the substrate maintained good SERS activity after 45 days of exposure to air) of the SERS substrate. The basic performance of the substrate was evaluated using rhodamine 6 G (R6G). (Detection limit reached 10−12 M) The detection limit of TC was 0.1 ppm. This method provides a potential and cost-effective strategy to develop advanced SERS sensing devices to effectively monitor pollutants in environmental waters.
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Nature Communications
·
2025
·Vol. 16
·期 1
·1-14
·
IF 15.7
Li Mingkun,Song Qing,Wang Yilin,Liu Bing
Particle adsorption at the oil-water interface is an important strategy for emulsion stabilization against coalescence, however, the particle occupation of the interface and the requirement of free interfaces in many applications is a contradiction. We report an emulsion type with low droplet surface coverage but enhanced stability by employing colloidal rings as emulsifiers. The formed emulsions provide a large accessible oil-water interface (>80%). The enhanced diffusion through the interface and highly efficient loading of catalytic nanoparticles at the interface result in much higher catalytic efficiency than the nanosphere-covered emulsions in both batch and continuous flow interface catalysis. The loading of plasmonic nanoparticles brings excellent performance in surface-enhanced Raman spectroscopy-based detection, which exhibits the lowest detectable concentration as low as 10 −11 M using only 0.25 μL of analyte and 0.2 μg of Au nanoparticles. The ring-based Pickering emulsion provides freedom for designing interface structures and compositions for functional emulsions.
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MICROCHIMICA ACTA
·
2025
·Vol. 192
·期 2
·1-11
·
IF 5.3
Li Xuhuan,Zhu Ling,Yang Rong,Cai Chunli,Yin Changsheng,Shen Xiaodong,Xin Wenbo
A polyethyleneimine (PEI)-assisted simple and efficient one-pot hydrothermal reduction method is reported to prepare high-quality gold nanodendrites (AuNDs) on a carbon nanotube (CNT) sheet. We observed that the prepared AuNDs have a well-defined backbone-multiple branching structure. With the systematical investigation of the growth mechanism, it was found that the bromide (Br − ) ion concentration has an essential effect on the formation of AuNDs. By evaluating the growth conditions of AuNDs, it was demonstrated that PEI attached on the surface of CNT sheet plays multiple crucial roles as a reducing agent, stabilizer, and structure director in the formation of AuNDs. The prepared CNT-AuNDs hybrid was employed as a flexible surface-enhanced Raman scattering (SERS) substrate to detect the analyte Congo red (CR). Due to the unique structure of AuNDs, such as 3-D branches, rough surface, and sharp edges, the analyte can be detected efficiently down to a concentration as low as 1 × 10 −8 M with an enhancement factor as high as 5.6 × 10 7 . Graphical abstract
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SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
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2024
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IF 4.3
Qinli Ye,Miaomiao Wu,Qian Xu,Shuwen Zeng,Tao Jiang,Wei Xiong,Songyin Fu,Muhammad Danang Birowosuto,Chenjie Gu
The Surface-enhanced Raman scattering (SERS) is an attractive optical detecting method with high sensitivity and detectivity, however challenges on large-area signal uniformity and complex spectra analysis methods always retards its wide application. Herein, a highly sensitive and uniform SERS detection strategy supported by porous carbon film/WO 3-x nanosheets (PorC/WO 3-x ) based noble-metal-free SERS substrate and deep learning algorithm are reported. Experimentally, the PorC/WO 3-x substrate was prepared by high-temperature annealing the PorC/WO 3 films under the argon atmosphere. The defect density of the WO 3 was controlled by tuning the reducing reaction time during the annealing process. The SERS performance was evaluated by using R6G as the Raman reporter, it showed that the SERS intensity obtained on the substrate with the optimal annealing time of 3 h was about 8 times as high as that obtained on the PorC/WO 3 substrate without annealing treatment. And detection limit of 10 -7 M and Raman enhancement factor of 10 6 could be achieved. Moreover, the above optimal SERS substrate was utilized to detect flavonoids of quercetin, 3-hydroxyflavone and flavone, and a deep learning algorithms was incorporated to identify the quercetin. It revealed that quercetin can be accurately detected within the above flavonoids, and lowest detectable concentration of 10 -5 M can be achieved.
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LANGMUIR
·
2024
·
IF 3.7
Qiuting Huang,Hongbo Gong,Guoqiang Wang,Weiye Hu,Weili Wang,Siqi Pan,Jing Xu,Guokun Liu,Zhongqun Tian
Surface-enhanced Raman spectroscopy (SERS) has been demonstrated as an ultrasensitive tool for various molecules. However, for the negatively charged molecules, the widely used SERS substrate [negatively charged Ag and Au nanoparticles (Ag or Au NPs (−)] showed either low sensitivity or poor stability. The best solution is to synthesize positively charged silver or gold nanoparticles [Ag or Au NPs (+)] with high stability and excellent SERS performance, which are currently unavailable. To this end, we revitalized the strategy of “charge reversal and seed growth”. By selection of ascorbic acid as the reductant and surfactant, the surface charge of Ag or Au NP (−) seeds is adjusted to a balanced state, where the surface charge is negative enough to satisfy the stabilization of the NPs (−) but does not hinder the subsequent charge reversal. By optimization of the chain length and electric charge of polyamine molecules, the highly stable and size-controllable uniform Ag NPs (+) and Au NPs (+) were seed-growth synthesized with high reproducibility. More importantly, the SERS performance of both Ag NPs (+) and Au NPs (+) achieved the trace detection of negatively charged molecules at the level of 1 μg/L, demonstrating an improved SERS sensitivity of up to 3 orders of magnitude compared to the previously reported sensitivity. Promisingly, the introduction of polyamine-capped Ag NPs (+) and Au NPs (+) as SERS substrates with high stability (1 year shelf life) will significantly broaden the application of SERS.
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Chemosensors
·
2024
·Vol. 12
·期 5
·82
·
IF 3.7
Minghui Yu,Chongyang Qin,Zhi Yu,Biao Sun,Dejiang Ni,De Zhang,Pei Liang
Surface-enhanced Raman scattering (SERS) provides an alternative rapid detection method for pesticide residues in food, but fenvalerate possesses poor affinity to the novel metal substrate, thus restricting its analysis. To break this bottleneck, a SERS-active platform with an Ag/rGO composite structure was engineered using a facile method for fenvalerate detection. Ag nanoparticles with a 60 nm diameter can grow evenly on the top and bottom of rGO layers under intense ultrasonic oscillation, and rGO in hybrid material acts as an ideal hotspot holder between the gaps of Ag nanoparticles, not only allowing the interaction area to be enhanced both electromagnetically and chemically but also enabling the capture and enrichment of fenvalerate pesticide molecules into the “hotspot” area to improve detection sensitivity. Ag/rGO composite substrate possesses superior SERS performance with an ultralow detectable concentration of 4-aminothiophenol (10−10M) and good reproducibility, endowing the material with a better enhancement effect than pure Ag nanoparticles. When used as the SERS substrate for fenvalerate detection, Ag/rGO composite material showed excellent performance in both experiments and theoretical calculation, with the limit of detection (LOD) of fenvalerate being as low as 1.69 × 10−5mg/kg and a detection model with an R2of 99.2%, demonstrating its exciting potential as a SERS substrate for pesticides detection.
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SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
·
2024
·
IF 4.3
Zhaoyi Zhang,Hefu Li,Lili Huang,Hongjun Wang,Huijuan Niu,Zhenshan Yang,Minghong Wang
Rapid and quantitative detection of malachite green (MG) in aquaculture products is very important for safety assurance in food supply. Here, we develop a point-of-care testing (POCT) platform that combines a flexible and transparent surface-enhanced Raman scattering (SERS) substrate with deep learning network for achieving rapid and quantitative detection of MG in fish. The flexible and transparent SERS substrate was prepared by depositing silver (Ag) film on the polydimethylsiloxane (PDMS) film using laser molecular beam epitaxy (LMBE) technique. The wrinkled Ag NPs@PDMS film exhibits high SERS activity, excellent reproducibility and good mechanical stability. Additionally, the fast in situ detection of MG residues on fish scales was achieved by using the wrinkled Ag NPs/PDMS film and a portable Raman spectrometer, with a minimum detectable concentration of 10 -6 M. Subsequently, a one-dimensional convolutional neural network (1D CNN) model was constructed for rapid quantification of MG concentration. The results demonstrated that the 1D CNN quantitative analysis model possessed superior predictive performance, with a coefficient of determination (R 2 ) of 0.9947 and a mean squared error (MSE) of 0.0104. The proposed POCT platform, integrating a transparent flexible SERS substrate, a portable Raman spectrometer and a 1D CNN model, provides an efficient strategy for rapid identification and quantitative analysis of MG in fish.
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TALANTA
·
2025
·
IF 6.1
Haoyang Wang,Jun Wang,Huamin Chen,Xinhai Fu,Jiaqi Fu,Yanqi Huang,Yang Zhang
In this study, we develop a filter paper-supported Ag nanowire (AgNWs) substrate coated with a tunable layer of zeolitic imidazolate framework-67 (ZIF-67) metal-organic framework (MOF) for surface-enhanced Raman scattering (SERS) applications. The thickness of the ZIF-67 layer is precisely controlled by adjusting the soaking time, allowing us to investigate the influence of MOF thickness on SERS performance using probes with different sizes. Sensitivity for large, impenetrable molecules such as thiram and rhodamine 6G (R6G) are primarily governed by localized surface plasmon resonance (LSPR), while smaller, penetrable molecules like 4-mercaptobenzoic acid (4-MBA) exhibit enhanced sensitivity driven by charge transfer (CT) effects due to their ability to penetrate the MOF layer. A finite-difference time-domain (FDTD) simulation reveals that the porous structure of ZIF-67 facilitates electric field propagation to the probe, maintaining significant LSPR effects even beyond 200 nm from the AgNWs. Practical applicability is demonstrated using a wiping mode to detect thiram spiked on apple surfaces, with reliable linear detection achieved across a wide range of concentrations. This study underscores the potential of MOF-based hybrid SERS substrates for real-world applications, leveraging the complementary roles of CT and electromagnetic (EM) mechanisms to enhance sensitivity.
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TALANTA
·
2024
·
IF 5.6
Zhaoyuan He,Xiaoge Duan,Zhi Zhao,Yingkai Chen,Chengxiang Fu,Fuxin Zhang,Jinzi Wang,Jianyuan Feng,Nanxin Lin,Hailan Chen
Porcine epidemic diarrhea virus (PEDV) and porcine rotavirus (PoRV) are the two main pathogens causing porcine diarrhea, which are characterized by high morbidity and mortality. Most of the diagnostic methods available are limited to the laboratory or fail to highlight their advantages in terms of target species, detection time, sensitivity, and stability. To meet the demand for rapid on-site diagnosis of PEDV and PoRV co-infection, a surface-enhanced Raman scattering (SERS) immunochromatographic sensor based on gold magnetic nanoparticles (MNPs) was developed. The sensor is dual-mode, detecting on the basis of color signals by the naked eye and Raman signals. After a series of optimizations, the constructed sensor could perform simultaneous qualitative and quantitative detection of PEDV and PoRV in just 18 min, with visualized (color signals observed by the naked eye) limits of detection (LOD) of 3.13 × 10 2 TCID 50 /mL and 4.69 × 10 2 copies/μL, respectively. The LOD based on Raman signal analysis was as low as 4.63 × 10 1 TCID 50 /mL and 3.30 × 10 2 copies/μL for PEDV and PoRV, respectively. In addition, the sensor exhibited excellent specificity without cross-reactivity with common pathogens. The overall compliance rate with RT-PCR was 92.1 % (35/38) for 38 clinical samples. Therefore, the sensor is characterized by high sensitivity, specificity, reproducibility, and accuracy, making it suitable for the simultaneous rapid on-site detection of PEDV and PoRV.
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