ANALYTICAL SCIENCES
·
2023
·Vol. 39
·期 10
·1719-1726
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IF 1.6
Hong Li-Na,Cao Hui-Ting,Feng Yi-Xuan,Guo Li-Zhen,Liu Meng-Qian,Zhang Kun,Mai Xi,Li Na
Designing ratiometric sensors for cysteine (Cys) monitoring with high accuracy is of great significance for disease diagnosis and biomedical studies. The current ratiometric methods mainly rely on multiplex probes, which not only complicates the operation but also increases the cost, making it difficult for quantitative Cys detection in resource-limited areas. Herein, one-pot prepared gold nanoclusters (Au NCs) that glow red fluorescent were synthesized by employing glutathione as the stabilizer and reducing agent. When Fe 3+ is present with Au NCs, the fluorescence is quenched and the scattering is strong because of the aggregation of Au NCs. With introduction of Cys, Cys can efficiently compete with glutathione-modified Au NCs for Fe 3+ , which leads to increase of fluorescence and decrease of scattering. The ratiometric determination of Cys can be thereby realized by collecting the fluorescence and SRS spectrum simultaneously. The linear range for Cys was 5–30 µM with a detection limit of 1.5 µM. In addition, the sensing system exhibits good selectivity for Cys and shows potential application in biological samples. Graphical Abstract
研究领域:
生物化学
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医学诊断
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纳米材料科学
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产品关联
DOI
PubMed
高影响因子
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
·
2024
·
IF 4.3
Ruizhuo Li,Jing Dong,Guojun Wu,Limin Gao,Min Yang
Turbidity interference in measurements can reduce the accuracy of fluorescence detection. Conventional turbidity compensation methods directly establish the relationship between turbidity value and fluorescence but cannot accurately characterize the complex interference of turbidity on fluorescence detection. This paper introduces a novel turbidity compensation technique that separates the interference caused by turbidity particles into scattering intensifying and scattering-absorption attenuating components and corrects them separately. First, the scattering spectrum overlapping with fluorescence is estimated and subtracted from the actual sample spectrum to mitigate the fluorescence intensification caused by scattering. Then, attenuation coefficients at different turbidity intervals are calculated to compensate for fluorescence attenuation. Finally, the two components are combined to obtain the final corrected result. Based on the proposed method, the fluorescence spectra data of Platymonas helgolandica var. tsingtaoensis and Synechococcus elongatus undeod is evaluated. The core problem for comper different turbidity interferences were analyzed. Intensifying and attenuating coefficients based on turbidity values and scattering spectra were determined, ensuring adaptability to known and unknown turbidity conditions. The study results show that the fluorescence variation at different concentrations and turbidity levels are influenced by sample concentration and turbidity, exhibiting nonlinear behavior. The compensation model developed was applied to experimental data, achieving a mean relative error of less than 4% and a satisfactory root-mean-square error, significantly enhancing prediction accuracy. This method offers a straightforward and rapid application to detect a wide range of fluorescent substances.
研究领域:
环境科学
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分析化学
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产品关联
DOI
PubMed
高影响因子
Nanomaterials
·
2018
·Vol. 8
·期 12
·967
·
IF 3.504
Jia Song,Yuanyi Zhang,Yiqun Huang,Yuxia Fan,Keqiang Lai
In this work, surface-enhanced Raman spectroscopy (SERS) technology coupled with Ag nanowires was shown to be a promising tool in the detection of tartrazine in large yellow croaker for the first time. Ag nanowires with a uniform diameter were fabricated by an efficient and manageable polyol method. The partial least square model was established for the quantitative analysis of tartrazine, which showed a relatively high linear correlation between actual and predicted concentrations of standard tartrazine solutions. An optimal sample preparation method was also selected and used to extract tartrazine from large yellow croaker within 20 min. The lowest concentration detected was 20.38 ng/cm2, which fully meets the requirements of tartrazine testing in aquatic products. This study indicated that SERS technology combined with the as-prepared Ag nanowires could detect tartrazine sensitively and provide an easily operable and time-saving way to monitor tartrazine in large yellow croaker.Keywords:SERS;Ag nanowires;tartrazine;large yellow croaker
研究领域:
食品科学
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分析化学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
JOURNAL OF CHEMICAL AND ENGINEERING DATA
·
2020
·
IF 2.369
Taotao Zhan,Junshuai Chen,Xin Li,Qi Zhou,Maogang He,Ying Zhang
The experimental speeds of sound combined with Brillouin frequency shifts of ethyl laurate at temperatures from 294.97 to 572.89 K along six isobaric lines from 0.1 to 10.0 MPa were measured by Rayleigh–Brillouin light-scattering spectroscopy. The expanded relative uncertainty in the reported speeds of sound in ethyl laurate is estimated to be 1.3% (coverage factor k = 2 with a confidence level of 0.95). Within the temperature limits of 303.15–383.15 K and at pressures up to 10.0 MPa, the derived thermoacoustic properties of ethyl laurate including density, specific isobaric heat capacity, isentropic compressibility, isobaric thermal expansivity, isothermal compressibility, the difference in isobaric and isochoric heat capacity, internal pressure, and intermolecular free length were studied. Because of the heavily updated data of density and the speed of sound in the literature, a modified Jacobson’s model for biodiesels was proposed over the temperature range from 293.15 to 343.15 K, which is able to calculate the intermolecular free length of ethyl laurate with higher accuracy compared with Jacobson’s model.
研究领域:
物理化学
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材料科学
✓ 已验证
DOI
高影响因子
MICROCHEMICAL JOURNAL
·
2020
·
IF 3.594
Zijun Sun,Meiying Song,Weiling Zou,Zhengquan Su,Yan Bai
In the weakly citric acid-Na 2 HPO 4 buffer solution, chito-oligosaccharides (COS) interacted with acid blue 119 to form an ion-association complex of COS-acid blue 119, which increased the resonance Rayleigh scattering (RRS) intensities at 349 nm. Moreover, with the addition of Triton X-114 (TX114), the RRS intensities of the system increased and the changes of the intensities were linear to the concentration of COS in the range of 0.125–3.00 µg/mL with the limit of detection (LOD) of 37 ng/mL. The regression equation was Δ I = 1348.6c + 6.1063 with the correlation coefficient of 0.9984. The experimental conditions were optimized, the effects of the coexisting substances were evaluated and excellent selectivity was exhibited. The reaction mechanism and causes of the RRS intensity enhancement were also discussed. At the same time, the method was demonstrated with the determination of COS in health products with satisfactory results. Therefore, the proposed method was proved as a simple, low cost, high sensitive and selective method.
研究领域:
分析化学
·
生物化学
✓ 已验证
DOI
高影响因子
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
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2018
·
IF 2.88
Jinxia Xu,Zhangjun Bai,Fanlin Zu,Fanyong Yan,Junfu Wei,Saihui Zhang,Yunmei Luo
A convenient, highly sensitive and reliable assay for 2,4,6‑trinitrophenol (TNP) and Fe (III) ion (Fe 3+ ) in the dual spectroscopic manner is developed based on novel carbon dots (CDs). The CDs with highly blue emitting fluorescent were easily prepared via the one-step potassium hydroxide-assisted reflux method from dextrin . The as-synthesized CDs exhibited the high crystalline quality, the excellent fluorescence characteristics with a high quantum yield of ~13.1%, and the narrow size distribution with an average diameter of 6.3 ± 0.5 nm. Fluorescence and frequency doubling scattering (FDS) spectra of CDs show the unique changes in the presence of TNP/Fe 3+ by different mechanism. The fluorescence of CDs decreased apparently in the presence of TNP via electron-transfer. Thus, after the experimental conditions were optimized, the linear range for detection TNP is 0–50 μM, the detection limit was 19.1 nM. With the addition of Fe 3+ , the FDS of CDs appeared to be highly sensitive with a quick response to Fe 3+ as a result of the change concentration of the scattering particle. The emission peak for FDS at 450 nm was enhanced under the excitation wavelength at 900 nm. The fluorescence response changes linearly with Fe 3+ concentration in the range of 8–40 μM, the detection limits were determined to be 44.1 nM. The applications of CDs were extended for the detection of TNP, Fe 3+ in real water samples with a high recovery. The results reported here may become the potential tools for the fast response of TNP and Fe 3+ in the analysis of environmental pollutants .
研究领域:
分析化学
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环境科学
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产品关联
DOI
PubMed
高影响因子
Journal of Water Chemistry and Technology
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2022
·Vol. 44
·期 6
·482-487
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IF 0.484
Ruijia Lan,Su Wenbin,Jia Yanan,Li Jitai
Abstract With the increasingly extensive application of persulfate for water treatment, the development of persulfate detection technology has gradually become a research hotspot. Ferrous ions can catalyze peroxydisulphate (PDS) to produce \({\text{SO}}_{4}^{ - }• \) and \(• {\text{OH}}\) , which oxidize excessive KI to form \({\text{I}}_{3}^{ - }\) . Then \({\text{I}}_{3}^{ - }\) and cationic dye (Basic Blue 54) form ion association complex through electrostatic interaction. These complexes aggregate to form particles with the average size of 362 nm. Formation of ion association particles leads to sharp enhancement of resonance scattering intensity of the system. Based on this principle, a new method for the resonance light scattering determination of peroxydisulphate has been developed, and the optimum reaction conditions, influential factors and applications were investigated. Initial solution pH of 4.5, initial Fe 2+ concentration of 3.0 × 10 –6 mol L –1 , KI concentration of 1.0 × 10 –3 mol L –1 , BB54 concentration of 2.0 × 10 –5 mol L –1 , these conditions were selected as the optimized initial concentration for the detection of PDS. Under the optimal reaction conditions, peroxydisulphate concentrations of 2.5 × 10 –7 –1.8 × 10 –5 mol × L –1 were linearly correlated with the reduction of the resonance light scattering intensity with a correlation coefficient of 0.99 and a detection limit of 7.8 × 10 –8 mol L –1 . This method of measuring PDS shows a higher sensitivity than other methods. The interferences of coexisting substances were also investigated. It has been applied to the analysis of peroxydisulphate in water samples. The recovery rates of the spiked samples were in the range between 91.1–106.2% which showed that the method had high accuracy for the analysis of peroxydisulphate.
研究领域:
分析化学
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环境科学
✓ 已验证
DOI
高影响因子
PARTICLE & PARTICLE SYSTEMS CHARACTERIZATION
·
2020
·Vol. 37
·期 6
·2000106
·
IF 3.099
Nannan Li,Hao Wang,Yunhe Lai,Huanjun Chen,Jianfang Wang
Dielectric nanoparticles are expected to complement or even replace plasmonic nanoparticles in many optical and optoelectronic applications, because they exhibit small absorption losses and support strong electric and magnetic resonances simultaneously. Dielectric nanoparticles need to be deposited on various substrates in many applications. Understanding the substrate effect on the electromagnetic resonances of dielectric nanoparticles is of great importance for engineering their resonance properties and designing optical devices. In this study, moderate-refractive-index cuprous oxide nanospheres with uniform sizes and shapes are synthesized. The scattering spectra and images of the nanospheres deposited on three types of substrates are analyzed experimentally and theoretically. When supported on indium tin oxide–coated glass slides and Si wafers, the color of the nanospheres varies from blue, cyan, green, yellow, orange and red, covering almost the entire visible region. When deposited on gold films, the electromagnetic resonances of the nanospheres redshift intensively and a new effective magnetic resonance mode appears. The enhanced Raman scattering reveals that large electromagnetic field enhancements are produced in the gap region between the nanosphere and the substrate. The results shed light on the manipulation of the electromagnetic responses of dielectric nanoparticles and the design of dielectric metamaterials in the presence of various substrates.
研究领域:
光学
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材料科学
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纳米技术
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产品关联
DOI
高影响因子
Nanoscale
·
2014
·Vol. 7
·期 2
·511-517
·
IF 6.739
Tao Xie,Chao Jing,Wei Ma,Zhifeng Ding,Andrew James Gross,Yi-Tao Long
The morphological characteristics of metal nanoparticles, particularly the shape, play an essential role in the optical, physical and chemical properties. In this work, we reported a transverse etching process to investigate the morphological variations of single gold nanorods (GNRs). Dark-field microscopy and Rayleigh scattering spectroscopy were used as complementary technologies to track the transverse etching process. Dark-field imaging with high spatial and temporal resolution could easily monitor the transverse etching process of GNRs in situ and in real time. Interactions between the scattering spectrum and the morphological variations were judiciously calculated within the dipole approximation by the Drude function. The calculated peak shift of GNRs (Δλmax = 17 nm) was obtained via the ratio of the long axis and short axis (aspect ratio) of GNRs from transmission electron microscopy. The average scattering peak shift (Δλmax = 22 nm) from Rayleigh scattering spectroscopy was in good agreement with the calculated peak shift. Monitoring the morphological variations of single GNRs enables us to track the transverse etching of GNRs at arbitrary time. This promises to be a useful method for the study of different nanomaterials and their spectral properties.
研究领域:
纳米材料科学
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光学
·
化学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
BIOSYSTEMS ENGINEERING
·
2018
·
IF 2.132
Xueming He,Xiaping Fu,Xiuqin Rao
Model robustness has always been the research focus for near infrared spectroscopy technique. In this study, we compared the model performance of four different kinds of spectra (transmittance, reflectance, absorption ( μ a ) and reduced scattering ( μ′ s )) for the prediction of fat and protein of milk. The protein content of milk in prediction set was totally out of range of fat calibration set. The same happens in the case of the fat content of milk in prediction set and protein calibration set. The aim of this present study was to investigate the effect of the difference of protein content on the robustness of four fat calibration models, and of the difference of fat content on the robustness of four protein calibration models. The single integrating sphere system was first calibrated by using 90 liquid phantoms. The detection accuracy of the calibrated system was externally validated by another 80 phantoms. It turned out that the system can measure the absorption and reduced scattering coefficients with relatively high precision in the range of 780–1073 nm, which gave mean relative errors less than 12% and 5% for μ a and μ′ s respectively. Partial least squares regression (PLSR) and stepwise multiple linear regression (SMLR) models were established, and the results showed that calibration model based on reduced scattering spectra could predict fat with the highest robustness for both regression methods, while the absorption spectra could predict protein content with the highest robustness by using SMLR. The separation of absorption and reduced scattering has great potential in improving the robustness of calibration models.
研究领域:
食品科学
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光谱学
·
生物医学工程
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产品关联
DOI
高影响因子
JOURNAL OF FOOD SCIENCE
·
2022
·Vol. 87
·期 7
·3318-3328
·
IF 3.693
Shuai Yan,Yongyu Li,Yankun Peng,Shaojin Ma,Donghai Han
Residues of veterinary antibiotics in honey may be damaging to human health. Surface-enhanced Raman scattering spectroscopy (SERS) is an emerging technology widely applied in food safety. SERS has advantages of enabling fingerprint identification and fast detection, as well as does not require complex pretreatment. Considering the overuse of nitrofurans in honeybee breeding, SERS combined with spectral preprocessing was used to detect nitrofurantoin in honey. By using standardized experimental procedures and improved spectral correction methods, the lowest detection limit of nitrofurantoin was 0.1321 mg/kg. A good linear relationship in the partial least squares regression model was found among spiked samples, which allowed prediction of nitrofurantoin content in honey sample ( R C 2 $R_C^2$ = 0.9744; R P 2 $R_P^2$ = 0.976; RMSECV = 1.0353 mg/kg; RMSEP = 0.9987 mg/kg). Collectively, these results reliably demonstrated that quantification is more accurate when spectral preprocessing is better controlled. Therefore, this study indicates that SERS could be further implemented in fast and onsite detection of nitrofurantoin in honey for improved food safety. Practical Application This article presents a novel SERS-based method for the rapid detection of nitrofurantoin residues in honey. The original spectra were corrected by multiple linear regression based on the fitting baseline. This study aims to develop a rapid onsite detection method for toxic hazardous substance residues in food.
研究领域:
食品科学
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分析化学
·
生物医学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
ANALYTICA CHIMICA ACTA
·
2020
·
IF 5.977
Qiannan Duan,Zhaoyi Xu,Shourong Zheng,Jiayuan Chen,Yunjin Feng,Luo Run,Jianchao Lee
Determination of complex pollutants often involves many high-cost and laborious operations. Today’s pop machine-learning (ML) technology has exhibited their amazing successes in image recognition, drug designing, disease detection, natural language understanding, etc. ML-driven samples testing will inevitably promote the development of related subjects and fields, but the biggest challenge ahead for this process is how to provide some intelligible and sufficient data for various algorithms. In this work, we present a full strategy for rapid detecting mixed pollutants through the synergistic application of holographic spectrum and convolutional neural network (CNN). The results have shown that a well-trained CNN model could realize quantitative analysis of the mixed pollutants by extracting spectral information of matters, suggesting the strategy’s value in facilitating the study of complex chemical systems.
研究领域:
环境科学
·
化学
·
人工智能
✓ 已验证
DOI
PubMed
高影响因子