4.6 Article

Surface enhanced Raman scattering fiber optic sensor as an ion selective optrode: the example of Cd2+ detection

Journal

RSC ADVANCES
Volume 4, Issue 110, Pages 64683-64687

Publisher

ROYAL SOC CHEMISTRY
DOI: 10.1039/c4ra11260a

Keywords

-

Funding

  1. National Natural Science Foundation of China [21277131, 21105092, 51103141]
  2. Fundamental Research Funds for the National Universities of China [2682014RC06]

Ask authors/readers for more resources

Here in this work, we report the fabrication of a (metal) ion selective surface enhanced Raman scattering (SERS) optrode, the counterpart of an ion selective electrode, for the detection of metal ions in solution. Following our previous work, a layer-by-layer self-assembly strategy was used to fabricate the SERS optrode, followed by modification with an ion chelating reagent, 4-(4-phenylmethanethiol)-2,2':6',2 ''-terpyridine (PMTTP). The SERS spectrum change after binding with metal ions was used to identify and detect metal ions in solution. Cd2+ in aqueous solution was chosen as a sample analyte. Similar to standard pH measurement, through simple single point known standard solution calibration, a quick (semi-)quantitative analysis of Cd2+ was realized.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Chemistry, Analytical

Fluorescence turn-off sensing strategy based on Al-based MOF for selective detection of tricresyl phosphate

Jie Hu, Xue Zou, Sihan Ji, Qiumeng Chen, Dongmei Wang, Zhengjun Gong

Summary: A new method based on NH2-MIL-53(Al) nanoprobe was presented for the direct luminescence assay of tricresyl phosphate (TCP). NH2-MIL-53(Al) exhibited excellent crystal structure and optical qualities, and the introduction of TCP caused significant dampening of the nanoprobe's photoluminescence signal. The technique was effectively used to detect TCP in water, offering a fresh perspective on recognizing organophosphorus flame retardants in environmental water.

ANALYTICA CHIMICA ACTA (2023)

Article Chemistry, Applied

Functionalized fluorescent Zr-MOF based on photoinduced electron transfer for highly sensitive detection of nitroaromatic explosives

Hangzhou Li, Qiumeng Chen, Zhixiao Zhang, Zhaoli Wang, Zhengjun Gong, Meikun Fan

Summary: A newly amino-functionalized luminescent Zr-based metal-organic framework (NU-1000-NH2) was designed for ultra-sensitive fluorescent detection of nitroaromatic explosives. The amino constructed in cavities of NU-1000NH2 can capture and bind the nitroaromatic molecules, causing fluorescence quenching due to the electron donor-acceptor interaction. The hydrogen-bonding effect between NU-1000-NH2 and analytes was also found assisting for binding and recognizing nitroaromatic explosives molecule.

DYES AND PIGMENTS (2023)

Article Chemistry, Analytical

Surface-enhanced Raman scattering integrating with machine learning for green tea storage time identification

Fan Li, Yuting Huang, Xueqing Wang, Dongmei Wang, Meikun Fan

Summary: In this work, a strategy combining surface-enhanced Raman scattering (SERS) and machine learning was developed to discriminate complex samples, particularly those with similar compositions, such as green tea products with different storage times. Surface-functionalized Ag nanoparticles were used as a SERS substrate to reveal the changes in the sensory components of green tea. The integration of PCA-SVM achieved high predictive accuracy in differentiating green tea with different storage times. The results demonstrate that the SERS-based PCA-SVM platform is a facile and reliable tool for identifying complex matrices with subtle differentiations.

LUMINESCENCE (2023)

Article Environmental Sciences

A two-staged adsorption/thermal desorption GC/MS online system for monitoring volatile organic compounds

Wenjun Wang, Huan Chen, Wei Zhu, Zhengjun Gong, Hui Yin, Chao Gao, Anni Zhu, Dongmei Wang

Summary: Real-time online monitoring of 117 regulated volatile organic compounds (VOCs) in ambient air was achieved by developing an innovative automated GC/MS system. The system effectively minimized the presence of interfering substances and successfully separated and detected the VOCs without the challenges faced by traditional methods. With optimized conditions, impressive precision and accuracy were achieved, making this system a valuable tool for VOC monitoring.

ENVIRONMENTAL MONITORING AND ASSESSMENT (2023)

Article Chemistry, Analytical

A dual-mode pH sensor film based on the pyrene-based Zr-MOF self-destruction with fluorescence turn-on effect

Hangzhou Li, Qiumeng Chen, Yuanyuan Wang, Zhixiao Zhang, Huan Chen, Zhaoli Wang, Zhengjun Gong

Summary: In this study, an amino functionalized pyrene-based Zr-MOF (NU-1000-NH2) was synthesized and used to fabricate a convenient fluorescence turn-on pH sensor. The sensor achieved pH monitoring by inducing the release of a fluorescent ligand through the dissipation of NU-1000-NH2 crystals upon the reaction with hydroxide ions. Furthermore, a solid-phase pH film sensor was successfully constructed by embedding NU-1000-NH2 particles into polyvinyl alcohol (PVA) and combining it with the RGB model and smartphone detector.

MICROCHEMICAL JOURNAL (2023)

Article Chemistry, Analytical

Highly efficient sensor for triphenyl phosphate based on UV-induced chemiluminescence

Xiaoying Huang, Liping Shen, Huanhuan Zhu, Huan Chen, Zhengjun Gong

Summary: In this study, a UV-induced chemiluminescence (CL) sensing platform with potassium monopersulfate (PMS) as the source of reactive oxygen species (ROS) was established. The CL emission was greatly inhibited with the introduction of triphenyl phosphate (TPHP), a representative harmful organophosphate flame retardant (OPFR). A new CL platform for the sensing of TPHP was fabricated, demonstrating advantages of simple operation, rapid determination, miniaturization potential, high selectivity and sensitivity, with a limit of detection down to 42.3 ng/L. This work paves the way for fast discrimination of emerging contaminants and has great prospects in real-time environmental monitoring.

MICROCHEMICAL JOURNAL (2023)

Article Engineering, Environmental

Industrial wastewater source tracing: The initiative of SERS spectral signature aided by a one-dimensional convolutional neural network

Yuting Huang, Bingxue Yuan, Xueqing Wang, Yongsheng Dai, Dongmei Wang, Zhengjun Gong, Junmin Chen, Li Shen, Meikun Fan, Zhilin Li

Summary: The concept of spectral fingerprint is important in identifying relevant features in nontarget screening of environmental samples. Surface-enhanced Raman scattering (SERS) is an optical method that provides fingerprint-like chemical information at the single-molecule level. In this study, a 1D-CNN approach was used to accurately identify the SERS spectral signature of industrial wastewaters for source tracing. The SERS-1D-CNN platform showed excellent potential in pollution source tracing even in complex and unknown water environments.

WATER RESEARCH (2023)

Article Chemistry, Multidisciplinary

Pelletization of nitrogen-containing biowaste hydrochar for solid biofuel preparation

Kai Jin, Miao Lv, Tengfei Wang, Zhengjun Gong

Summary: In this study, the fuel properties of hydrochar pellets derived from various N-containing biowastes were investigated through hydrothermal carbonization and pelletization. The introduction of N significantly enhanced the compressive strength of hydrochar pellets. Chlorella-derived hydrochar pellets exhibited the highest tensile strength. Protein/P model hydrochar had a higher water resistance index, while glycine/P model hydrochar was more hydrophilic. The N-containing biowaste had a significant effect on the fuel properties of hydrochar pellets, offering potential for value-added utilization as solid biofuel.

SUSTAINABLE CHEMISTRY AND PHARMACY (2023)

Article Chemistry, Analytical

Surface-enhanced Raman Scattering (SERS) microbial sensor for fresh water acute toxicity monitoring

Weixing Gao, Weiman Duan, Dandan Peng, Juan Li, Zhangmei Hu, Dongmei Wang, Zhengjun Gong, Meikun Fan

Summary: The complexity of substances in environmental water bodies is leading to severe ecotoxicological problems. Evaluating water quality accurately based on the species and concentration of chemicals alone is difficult due to the intricate interaction among various chemicals. Therefore, the acute toxicity evaluation of water is of significant importance in environmental monitoring, especially in emergency situations. This study proposes a SERS approach to evaluate the acute toxicity of fresh water for the first time, using indole as an indicator. It demonstrates the feasibility of using SERS-based microbial sensors to assess acute toxicity in water.

MICROCHEMICAL JOURNAL (2023)

Article Chemistry, Analytical

Chemiluminescence amplification via enhanced generation of bisulfite radicals for determination of tributyl phosphate flame retardant

Yi Deng, Xiaoying Huang, Huanhuan Zhu, Xiaoke Zheng, Zhengjun Gong

Summary: A direct Ce4+/SO32- chemiluminescence system was developed for efficiently and sensitively detecting the TNBP flame retardant. The system showed fast determination, great selectivity, a wide linear range, low limit of detection, and good precision.

MICROCHEMICAL JOURNAL (2023)

Article Chemistry, Physical

Efficient abatement of recalcitrant p-phenol sulfonic acid by CoFe2-xMoxO4 catalyzed peroxymonosulfate

Muhammad Hassan, Raqiqa Tur Rasool, Ghulam Abbas Ashraf, Miao Lv, Abeer A. AlObaid, Suwanna Kitpati Boontanon, Zhengjun Gong

Summary: In this study, CoFe2-xMoxO4 heterogeneous catalysts were prepared and used as peroxymonosulfate (PMS) activators for the degradation of p-phenol sulfonic acid (PSA). The results showed that CoFe2-xMoxO4/PMS exhibited efficient catalytic degradation performance under the reaction conditions, and the Mo content had a positive correlation with catalytic activity, indicating the potential application of this catalyst for recalcitrant pollutant remediation.

SURFACES AND INTERFACES (2023)

Article Environmental Sciences

Fingerprinting and Differentiation of Landfill Leachate and Domestic Sewage in Surface Water with Machine Learning Based Surface Enhanced Raman Spectroscopy

Juan Li, Xinghong Wang, Jiaxi Tang, Fan Li, Xueqing Wang, Tabdar Ali Deip Muhammad, Zhangmei Hu, Dongmei Wang, Zhengjun Gong, Meikun Fan

Summary: This article proposes a spectral fingerprinting and differentiation method based on SERS and machine learning for the identification and differentiation of chemical pollutants in drinking water springs. The results of the study demonstrate that by adjusting the surface adsorption on the SERS substrate, spectral fingerprint features can be extracted for distinguishing different pollution sources.

ACS ES&T WATER (2023)

Article Chemistry, Analytical

Surfactant encapsulating N-doped carbon dots with enhanced optical properties as a selective sensor for Cr(vi) detection

Qiumeng Chen, Nan Li, Yulu Tian, Qian Liu, Xue Zou, Meikun Fan, Zhengjun Gong

Summary: A selective fluorescent sensor for detecting hexavalent chromium (Cr(vi)) was developed using cetyltrimethylammonium chloride (CTAC) modified N-doped carbon dots (N-CDs-CTAC). The CTAC molecules self-assembled into micelles to encapsulate N-CDs, causing aggregation and enhanced fluorescence emission. The positively charged CTAC interacted with the negatively charged Cr(vi), allowing for selective recognition. The sensor achieved a detection limit of 40 nM and showed potential for environmental monitoring of Cr(vi).

ANALYST (2023)

No Data Available