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ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH · 2023 ·Vol. 30 ·期 49 ·108263-108273 · IF 5.8

Rapid analysis of pharmaceutical and personal care products by soft microwave-based plasma ionization—linear ion trap mass spectrometer (SMPI-LTQ) in natural water

Shuaibu Nazifi Sani,Zhao Gaosheng,Chu Fengjian,Wang Xiaozhi

In this study, a soft microwave plasma torch (SMPT) combined with a mass spectrometer (MS) was used for the first time as an analytical method to detect and analyze various pharmaceutical and personal care products (PPCPs) in aquatic environments without the need for sample pretreatment. For this purpose, ambient SMPT was used to generate plasma for ionizing the analyte molecules. Accordingly, nine PPCPs were identified by the SMPT-MS, and their identification was verified by collision-induced dissociation (CID). The technique’s performance was verified with known PPCP samples, and the limits of detection (LOD) and quantification (LOQ) obtained over a linear range of 50–1 μg/L were 1.56 to 2.81 and 2.07 to 3.62 μg/L, respectively, with the standard addition recovery rate falling between 87.14 and 115.16%. These results show that the method has excellent sensitivity and selectivity, suggesting that SMPT can rapidly and directly detect PPCPs in environmental water, making it a promising method for rapid water quality inspection.

CAS / MDL: 134-62-3
研究领域: 环境科学 · 分析化学
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SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY · 2025 · IF 4.6

Highly sensitive and selective dual-signal ratiometric fluorescent sensor based on N, S co-doped carbon dots and rhodamine B for Pb2+ ions detection in industrial wastewater

Yi-Xi Chen,Zhenhua Tang,Le-Yan Feng,Liu-Ling Liang,Deng-Hui Shang,Hui-Qing Li,Xiao-Hai Chen,Feng-Ming Li,Xin-Gui Tang,Shang-Xian Chen

Nowadays, heavy metal pollutants have emerged as a significant global environment affecting human health. Herein, in this work, a highly sensitive and selective dual-signal ratiometric fluorescent sensor for heavy metal Pb 2+ ions detection in aquatic environments was developed by employing the combined highly fluorescent nitrogen and sulfur co-doped carbon dots (N,S-CDs) with rhodamine B (RhB) as a new dual-signal fluorescent probe. The nanostructure, optical properties and a self-calibration mechanism based on the intensity ratio of dual emission peaks were discussed, and, the co-doping of nitrogen and sulfur increased the electron transfer rate and enhanced the coordination interaction between the N,S-CDs and Pb 2+ ions were revealed in the dual-signal ratiometric fluorescent sensor. Moreover, the new sensor exhibited a robust linear response to Pb 2+ ions within the 0–180 μM range, achieving a limit of detection (LOD) of 0.45 μM (93 μg/L) in the actual measurement environment, which is observed to be commensurate with the Grade I standard limit for lead as prescribed in China's “Integrated Wastewater Discharge Standard” (100 μg/L). Furthermore, specificity experiments demonstrated the sensor's superior recognition of Pb 2+ ions over other common metal ions (e.g., Cu 2+ , Fe 3+ , Al 3+ ). In practical industrial wastewater analysis, spike recoveries of 94.20–97.53 % were achieved, with relative standard deviations (RSDs) below 1.32 %, thus validating the method's reliability. This work has been recognized to provide significant potential for environmental monitoring applications.

CAS / MDL: 52-90-4
研究领域: 环境监测 · 分析化学 · 纳米材料 · 传感器与生物传感器 · 水质检测
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ANALYTICA CHIMICA ACTA · 2025 · IF 6

A smartphone-assisted dual-mode sensor for synchronous detection of Microcystin-LR in environmental water via Temperature–Multicolour dual signals

Hongjian Lin,Yiwen Zhu,Xiaoya Chen,Huilian Sun,Xinyu Cao,Mengyu Tao,Jingqi Zhou,Hong Huang,Bingyong Lin,Longhua Guo

Background The direct reading of a signal is one of the essential requirements for field testing. However, quantitative analysis based on a single signal is prone to false positives and false negatives, compromising monitoring reliability. Therefore, there is an urgent need for a method that can enhance the reliability of detection achieved through simple quantitative signal readings. In this work, a temperature–multicolour dual-mode sensor was fabricated based on the localized surface plasmon resonance and photothermal effects of gold nanorods (Au NRs) to enable synchronous dual-signal detection of microcystin-LR (MC-LR) in environmental water. Results The proposed sensor offers the advantages of sensitive, synchronous, and simple dual-signal reading with the aid of a smartphone equipped with an infrared temperature probe. Both the temperature signal (ΔT) and the multicolour signal (R/G) exhibit strong linear correlations with the concentration of MC-LR. To evaluate the sensor's environmental monitoring performance, environmental water samples from different areas were analysed. Compared with the commercial enzyme-linked immunosorbent assay method, the proposed sensor achieved a lower limit of detection and produced comparable results using only signal readings obtained with a smartphone equipped with an infrared temperature probe, without the need for additional professional equipment. Moreover, excellent recoveries were obtained in the detection of spiked environmental water samples. Significance Two independent signals can be used to validate each other, thereby improving the reliability of detection. Therefore, the proposed smartphone-assisted temperature–multicolour dual-mode sensor shows strong potential for point-of-care testing, particularly in water quality monitoring.

研究领域: 环境监测 · 分析化学 · 纳米技术 · 生物传感器 · 水质检测
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SENSORS AND ACTUATORS B-CHEMICAL · 2025 · IF 7.7

Photoelectrochemical surface-enhanced Raman scattering dual-mode aptasensor based on WS₂/Cu-TCPP MOFs Z-scheme heterojunction for microcystin-LR detection

Siyuan Wang,Shuda Liu,Shuyun Meng,Yuqing Li,Na Dong,Zuo Chen,Wenjia Li,Dong Liu,Tianyan You

Microcystin-LR (MC-LR), a toxic cyanotoxin, poses severe risks to environmental and human health with its efficient detection urgently required for water safety monitoring. Here, we reported a photoelectrochemical (PEC)-surface-enhanced Raman scattering (SERS) dual-mode aptasensor based on WS 2 /copper(II) meso-tetra(4-carboxyphenyl) porphyrin (WS₂/Cu-TCPP) MOFs Z-scheme heterojunction with a single laser source to produce photocurrent and SERS signals. To access interference between PEC and SERS signals, their correlation was systematically examined by applying a certain bias voltage. This bias voltage drives photogenerated electrons into external circuit, thereby enhancing carrier separation efficiency and suppressing the return of Raman photons to the ground state. In this way, a complementary “PEC-enhancement/SERS-attenuation” signal pattern can be achieved to allow better reliability for biosensing. The presence of ascorbic acid (AA) replicated an identical response to confirm competitive coupling between PEC and SERS derived from WS₂/Cu-TCPP heterojunction. Based on this signal transduction mechanism and localized generated AA by magnetic separation, a dual-mode aptasensor was developed for MC-LR detection with superior sensitivity and interference resistance. It allowed a linear range of 0.01–50 ng mL −1 and a detection limit of 0.14 pg mL −1 for MC-LR as well as high selectivity and stability for real water samples analysis. This work should offer an efficient paradigm for precise analysis of hazardous pollutants in complex matrices.

CAS / MDL: 50-81-7
研究领域: 环境监测 · 分析化学 · 生物传感器 · 纳米材料 · 水质检测
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Heliyon · 2023 · IF 4

Determination of earthy-musty odors in tap water by gas chromatography‒mass spectrometry with silica solid-phase extraction

Liangliang Tian,Xin Qu,Dongmei Huang,Yongfu Shi,Cong Kong,Yuan Wang

This research aimed to develop an effective method for detecting semivolatile earthy-musty odors without using the conventional sample processing equipment used for volatile compounds. The concurrent isolation of 2-methylisoborneol (2-MIB), trans -1,10-dimethyl-trans-9-decalol (geosmin, GSM), 2-isopropyl-3-methoxy pyrazine (IPMP), and 2-isobutyl-3-methoxy pyrazine (IBMP) in tap water was successfully achieved by employing a combination of n-hexane liquid‒liquid extraction (LLE) and silica solid-phase extraction (SPE) techniques. Gas chromatography–mass spectrometry (GC-MS) was utilized for the identification of these targets, with the inclusion of borneol (BN) as an internal reference. This robust method was optimized and validated. It was found that the method showed good linearity in the range of 0.5–100 ng/mL and produced good recoveries (84.6 %–103 %) with satisfactory relative standard deviations (1.50 %–10.1 %). The determined limits of detection (LODs) for the group of four substances were found to vary from 0.3 to 0.9 ng/L, whereas the limits of quantitation (LOQs) exhibited variations between 1 and 3 ng/L. The subsequent implementation of this methodology to evaluate the four previously described off-flavor chemicals in tap water resulted in satisfactory results.

研究领域: 分析化学 · 环境科学 · 水质检测
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Frontiers of Environmental Science & Engineering · 2012 ·Vol. 6 ·期 6 ·831-838 · IF 0

Rapid method for on-site determination of phenolic contaminants in water using a disposable biosensor

Li Yuanting,Li Dawei,Song Wei,Li Meng,Zou Jie,Long Yitao

A disposable biosensor was fabricated using single-walled carbon nanotubes, gold nanoparticles and tyrosinase (SWCNTs-AuNPs-Tyr) modified screen-printed electrodes. The prepared biosensor was applied to the rapid determination of phenolic contaminants within 15 minutes. The SWCNTs-AuNPs-Tyr bionanocomposite sensing layer was characterized with scanning electron microscopy, electrochemical impedance spectroscopy and cyclic voltammetry methods. The characterization results revealed that SWCNTs could lead to a high loading of tyrosinase (Tyr) with the large surface area and the porous morphology, while AuNPs could retain the bioactivity of Tyr and enhance the sensitivity. The detection conditions, including working potential, pH of supporting electrolyte and the amount of Tyr were optimumed. As an example, the biosensor for catechol determination displayed a linear range of 8.0 × 10 −8 to 2.0 × 10 −5 mol·L −1 with a detection limit of 4.5 × 10 −8 mol·L −1 (S/ N = 3). This method has a rapid response time within 10 s, and shows excellent repeatability and stability. Moreover, the resulting biosensor could be disposable, low-cost, reliable and easy to carry. This kind of new Tyr biosensor provides great potential for rapid, on-site and cost-effective analysis of phenolic contaminants in environmental water samples.

研究领域: 环境监测 · 生物传感器 · 分析化学 · 纳米材料 · 水质检测
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MICROCHEMICAL JOURNAL · 2025 · IF 5.1

High-performance nitrite sensing using ternary PANI/SnO₂/MoS₂ nanocomposites with enhanced electrochemical response

Ying Zhou,Xinyan Ye,Jinai Bian,Min Tian,Guomei Zhang,Yan Zhang,Caihong Zhang,Shaomin Shuang,Hong Cui

Nitrite contamination poses a significant hazard to environmental safety and human health, making it essential to develop highly sensitive and selective detection methods. In this study, a ternary polyaniline/tin dioxide/molybdenum disulfide (PANI/SnO 2 /MoS 2 ) nanocomposite was designed and synthesized for high-performance electrochemical nitrite sensing. The nanocomposite was thoroughly characterized using scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), and X-ray diffraction (XRD). A glassy carbon electrode (GCE) modified with this nanocomposite was constructed as an electrochemical sensing platform for nitrite detection. The resulting sensor exhibited an electroactive surface area of 0.1344 cm 2 , which is 2.8 times that of the bare GCE. Owing to the synergistic effects among the three components, the sensor demonstrated excellent electrocatalytic activity towards nitrite oxidation. Under optimal conditions, it achieved a wide linear detection range from 0.9 μM to 1300 μM, with a sensitivity of 0.5606 μA · μM −1 · cm −2 , a detection limit of 0.33 μM (S/N = 3), and a quantification limit of 0.9 μM. The sensor also displayed outstanding selectivity, stability, and repeatability. Furthermore, it was successfully applied to detect nitrite in tap water samples, yielding satisfactory recovery rates.

研究领域: 环境监测 · 电化学传感 · 纳米材料 · 分析化学 · 水质检测
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ANALYTICA CHIMICA ACTA · 2025 · IF 6

Homogeneous multi-antibiotics residual identification in various actual water via SERS spectra multilayer perceptron algorithm combined with Gaussian kernel density estimation data augmentation

Zixi Huang,Weixin Liang,Yongqian Lei,Ruiling Zhang,Jian Sun,Pengran Guo

Background Antibiotic residues pose varying degrees of potential hazards to the water environment and human health due to their diverse types. Surface-enhanced Raman spectroscopy (SERS) technology can achieve rapid detection of various antibiotic residues, and when combined with machine learning, it can identify multiple mixtures in Raman spectra. However, due to the interference of complex matrices and the similarity of the structure of the target itself, it is still a challenge for the detection and recognition of the same type of targets. Results This study reported homogeneous multi-antibiotics SERS spectra recognition model for the identification of five sulfonamide antibiotics and their complex mixtures in various water by using a Multilayer Perceptron (MLP) algorithm. The results showed that the MLP model achieved accuracy, F1-score, 5-fold cross-validation (CV), and recall rates all above 90 %. Further, Gaussian Kernel Density Estimation (GKIM) was employed to augment the spectra of target substances containing ammonia nitrogen and phosphate and solved the reduction of model's identification accuracy when it used in nitrogen and phosphate matrices. The MLP model built on GKIM-augmented data achieved an antibiotic identification accuracy rate of 93 % in real water samples. The proposed model was validated in actual samples by LC-MS method and demonstrated excellent recognition capability. Significance : This study demonstrates that combining MLP with GKIM can significantly enhance the model's ability to identify target substances in different water bodies, highlighting the broad application potential of this technology in environmental SERS detection and identification.

CAS / MDL: 144-83-2
研究领域: 环境监测 · 分析化学 · 机器学习应用 · 水质检测 · 光谱学
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SENSORS AND ACTUATORS B-CHEMICAL · 2019 · IF 6.393

A real-time on-line photoelectrochemical sensor toward chemical oxygen demand determination based on field-effect transistor using an extended gate with 3D TiO2 nanotube arrays

Hewei Si,Nengqian Pan,Xidong Zhang,Jianjun Liao,M.N. Rumyantseva,A.M. Gaskov,Shiwei Lin

Chemical oxygen demand (COD) is one of the most widely used parameters for water quality assessment. Quantification and detection of COD slight fluctuations is crucial for an early detection of abnormal change in the water environment. Here we report a real-time on-line photoelectrochemical method for sensitive COD detection using an extended-gate field-effect transistor (EGFET) sensor. The FET gate consists of a Ti mesh electrode with 3D TiO 2 nanotube arrays modified by Pt nanoparticles. The device shows a COD detection limit down to 0.12 mg/L and a wide dynamic linear range from 1.44 mg/L to 672 mg/L at a continuous flow rate of 1.0 mL/s. The method reported also displays excellent stability, accuracy and reproducibility. More importantly, real water samples analyses with the proposed method are in a good agreement with the standard dichromate method. The results suggest that the EGFET-based photoelectrochemical sensors are potential candidates for practical COD onsite measurement.

研究领域: 环境监测 · 传感器与仪器 · 电分析化学 · 水质检测 · 纳米材料
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