Quality control for a traditional Chinese medicine, Millettia speciosa Champ, using ultra-high-performance liquid chromatography fingerprint, serum pharmacochemistry and network pharmacology

Anal. Methods, 2023, 15,5166-5180
DOI: 10.1039/D3AY01051A, Paper
Yunyuan Nong, Chi Zhang, Yue Guo, Yuelian Qin, Xinyu Zhong, Linlin Feng, Ziping Pan, Lijun Deng, Hongwei Guo, Zhiheng Su
Quality control for traditional Chinese medicine, Millettia Speciosa Champ, using ultra-high-performance liquid chromatography fingerprint, serum pharmacochemistry and network pharmacology.
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Correction: Extraction of diazinon, haloxyfop-R-methyl, hexaconazole, diniconazole, and triticonazole in cheese samples using a ferrofluid based liquid phase extraction method prior to gas chromatography

Anal. Methods, 2023, 15,4785-4785
DOI: 10.1039/D3AY90114A, Correction
Open Access Open Access
Creative Commons Licence  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Mahdi Rouhi, Jafar Abolhasani, Mohammad Reza Afshar Mogaddam, Mohammad Taghi Vardini
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Nitrocellulose membranes in situ grown with Prussian blue nanoparticles as stable nanozyme pads for colorimetric detection of dopamine

Anal. Methods, 2023, 15,5139-5145
DOI: 10.1039/D3AY01125A, Paper
Shuting Zhang, Cuili Li, Zhihong Sun, Jie Liu, Guanglei Fu
Nitrocellulose (NC) membranes were exploited as synthesis hosts of Prussian blue nanoparticles (PB NPs) to develop a new type of 3D porous peroxidase-mimicking nanozyme pad for colorimetric detection of dopamine (DA) in urine.
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Speciation of trace amounts of Sb(III) and Sb(V) in environmental water using inductively coupled plasma mass spectrometry after magnetic solid-phase extraction with rGO/Fe3O4

Anal. Methods, 2023, 15,4758-4766
DOI: 10.1039/D3AY01185B, Paper
Qiang Wang, Yulin Nie, Zhibin Wu, Yuan Yang
We developed an approach of magnetic dispersive solid-phase extraction (MSPE) based on magnetic graphene nanocomposite rGO/Fe3O4 for the determination of trace Sb(III) and Sb(V) using inductively coupled plasma mass spectrometry (ICP-MS).
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Prediction of type 1 diabetes with machine learning algorithms based on FTIR spectral data in peripheral blood mononuclear cells

Anal. Methods, 2023, 15,4926-4937
DOI: 10.1039/D3AY01080E, Paper
Evita Rostoka, Karlis Shvirksts, Edgars Salna, Ilva Trapina, Aleksejs Fedulovs, Mara Grube, Jelizaveta Sokolovska
A promising trend has been found to predict the presence of type 1 diabetes using PBMC metabolic fingerprinting and machine learning. This will enable extensive monitoring of public health, timely diagnosis of diseases and initiation of treatment.
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A novel “on–off–on” near-infrared fluorescent probe for Cu2+ and S2− continuous detection based on dicyanoisoflurone derivatives, and its application in bacterial imaging

Anal. Methods, 2023, Advance Article
DOI: 10.1039/D3AY01339A, Paper
Yixuan Yao, Fudong Zeng, Liangqiang Wu, Shuo Xing, Qingbiao Yang, Yaoxian Li
We have successfully synthesized a near-infrared fluorescent probe that can continuously detect Cu2+ and S2−. Probe DL can be used for fluorescence imaging experiments of Staphylococcus aureus.
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A multi-ion interference decoupling model based on ion-selective electrode arrays

Anal. Methods, 2023, 15,5038-5049
DOI: 10.1039/D3AY00888F, Paper
Zhancheng Mai, Shaoqiu Xiao, Wei Zhang, Kai Wang
In order to accurately calculate ion concentration in a mixed solution, a numerical calculation model that can be partially solved using the surface method is proposed based on a solid-contact ion-selective electrode array.
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