CHROMATOGRAPHIA
·
2016
·Vol. 80
·期 1
·165-170
·
IF 1.332
Yu Tianxiao,Wang Teng,Huang Zhenglan,Huang Ningshu,Zhang Hui,Luo Zhenhong,Li Hui,Ding Shijia,Feng Wenli
Abstract Pesticides are often involved in numerous acute and fatal poisonings. Patients’ blood samples may be sent to a toxicological laboratory for a poisoning diagnosis. This study proposes a gas chromatography-mass spectrometry (GC–MS) method for the determination of seven pesticides (malathion, methyl isofenphos, dichlorvos, chlorpyrifos, phenthoste, p , p ′-DDD, p , p ′-DDE) in human blood based on a quick, easy, cheap, effective, rugged and safe (QuEChERS) sample preparation method with Fe 3 O 4 magnetic nanoparticles (MNPs) as the new adsorbing material. It proved that Fe 3 O 4 MNPs have excellent adsorbent function while purifying the complex blood sample and it is simple to be separated from the extract. Under the optimum conditions, the detection limits of the proposed method for seven pesticides ranged from 0.011 to 0.163 µg mL −1 . Good linearity ( R value ≥0.9949) was achieved at concentration levels of 0.3–4.0 µg mL −1 , and acceptable method recoveries were found in the range of 70.0–111.8% at different concentrations, with the relative standard deviations (RSD) less than 10.5%. In short, the QuEChERS method with Fe 3 O 4 MNPs used for removing impurities improved the speed of sample pre-treatment and exhibited an enhanced performance in purifying. It can be applied for both forensic and clinical cases of accidental or suicidal poisoning with these pesticides. Graphical abstract
研究领域:
分析化学
·
毒理学
✓ 已验证
产品关联
DOI
高影响因子
JOURNAL OF COLLOID AND INTERFACE SCIENCE
·
2020
·
IF 7.489
Huixian Jia,Ningzhao Shang,Yue Feng,Huimin Ye,Jianing Zhao,Huan Wang,Chun Wang,Yufan Zhang
Transition metal doped carbon materials are recognized as promising sensing platforms for glucose detection. Herein, a simple strategy involving crystallinity, nanostructure engineering, and pyrolysis was developed for constructing well-defined Ni nanoparticle embedded on nanoporous carbon nanorods (Ni/NCNs). A three-dimensional nickel-based metal-organic framework (Ni-MOF) was used as both a self-sacrificing template and precursor. Due to the synergistic effects between the uniformly dispersed Ni nanoparticles and the nanoporous carbon matrix, the as-prepared Ni/NCNs exhibited remarkable electrochemical activity. The fabricated Ni/NCNs glucose sensor showed excellent electrocatalytic performance with ultra-low limit of detection, wide linear detection ranges, fast response times (within 1.6 s), superior stability, and anti-interference characteristics. Moreover, the Ni/NCNs sensing platform was successfully applied to analyze glucose concentrations in human blood samples. These results showed that Ni/NCNs hold potential applications in developing enzyme-free glucose sensors.
研究领域:
材料科学
·
分析化学
·
生物医学工程
✓ 已验证
产品关联
DOI
PubMed
高影响因子
ELECTROANALYSIS
·
2024
·Vol. 36
·期 5
·e202300367
·
IF 2.7
Yang Liu,Tao Liu,Yijing Ai,Baoli Wang,Zejun Zhang,Dan Zhang,Wei Sun
This research established an electrochemical sensing platform for sensitive dopamine (DA) detection using a modified glassy carbon electrode (GCE) made from waste pineapple leaf derived porous carbon (PLPC), which was applied to DA analysis in human blood samples with the characteristics such as simple procedure, excellent anti-interference ability and low detection limit. Transmission electron microscopy revealed a layered and porous structure in the morphology of PLPC. PLPC's specific surface area and average pore size were determined to be 350.48 m 2 /g and 3.72 nm, respectively. The crystal phase and valence state were examined using X-ray photoelectron spectroscopy and X-ray diffraction. Using the best parameters, cyclic voltammetry and differential pulse voltammetry were applied to study the electrochemical behaviors of DA on PLPC/GCE. On PLPC/GCE a wide linear range of 0.05–500.0 μmol/L and a low detection limit of 0.0075 μmol/L for DA detection could be realized. The recoveries of DA were 97.67–102.07 % for detection of human blood sample with excellent stability, reproducibility and repeatability. Therefore the waste pineapple leaf based biomass porous carbon could be used as promising potential candidate for sensing application.
研究领域:
分析化学
·
电化学
·
材料科学
·
生物传感器
·
环境科学
·
纳米技术
✓ 已验证
DOI
高影响因子
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
·
2019
·Vol. 166
·期 13
·B1238
·
IF 3.12
Parviz Sukhrobov,Sodik Numonov,Jing Liu,Jun Luo,Xamxikamar Mamat,Yongtao Li,Thomas Wågberg,Guangzhi Hu
The current research performs the novelty fabricated of non-enzymatic biosensor based on copper nanoparticles decorated carbon black nanocomposite modified glassy carbon electrode (Cu/DCB/GCE) by using the microwave method. The prepared nanomaterial was applied for glucose determination in biological fluids and human serum samples. The techniques of SEM, TEM, XPS, XRD, EDS and mapping tests were selected for the morphological, compositions and crystal structure characterizations of the fabricated nanocomposite. In comparison with other electrodes based on metal decorated carbon black, the Cu/DCB/GCE demonstrated the best electrocatalytic property toward glucose oxidation in 0.1 M KOH electrolyte. Cu/DCB/GCE under the optimal potential of +0.5 V in a linear range from 0.5 up to 7000 μM with a detection limit of 0.1 μM (S/N=3), the coefficient of correlation R2=0.999, performed significant high sensitivity of 1595 μA mM−1 cm−2. Rapid amperometric responses of the prepared biosensor in short time with 0.8-2 s were observed by addition of different glucose concentrations in alkaline solution. Modified Cu/DCB/GCE exhibited the best anti-interference property against blood cells and some blood co-existence molecules such as dopamine, uric acid, ascorbic acid, albumin, and globulin. Most importantly, Cu/DCB/GCE biosensor was used for glucose level determination in human blood serum samples. Due to the attractable structure and properties of the fabricated biosensor, it can be suggested for the future development of glucose detection design.
研究领域:
纳米技术
·
电化学
·
生物传感器
·
分析化学
·
材料科学
✓ 已验证
产品关联
DOI
高影响因子