Preparation and evaluation of diblock copolymer‐grafted silica by sequential surface initiated‐atom transfer radical polymerization for reverse‐phase/ion‐exchange mixed‐mode chromatography

Bo, Chun; Wang, Chaozhan; Wei, Yin

doi:10.1002/jssc.201700719

Cited by 14 publications

(6 citation statements)

References 32 publications

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“…Since the early AlexNet ( Vintch et al, 2012 ), the network has emerged in the competition. Subsequently, a series of excellent convolutional neural network models has been developed ( Simonyan and Zisserman, 2014 ; Zeiler and Fergus, 2014 ; Iandola et al, 2016 ; Larsson et al, 2016 ; Bo et al, 2017 ; Szegedy et al, 2017 ). To date, there has been an increase in the number of transformer models ( Dosovitskiy et al, 2020 ; Liu et al, 2021 ).…”

Section: Methodsmentioning

confidence: 99%

Automated detection of myopic maculopathy using five-category models based on vision outlooker for visual recognition

Wan

Fang

Hua³

et al. 2023

Front. Comput. Neurosci.

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PurposeTo propose a five-category model for the automatic detection of myopic macular lesions to help grassroots medical institutions conduct preliminary screening of myopic macular lesions from limited number of color fundus images.MethodsFirst, 1,750 fundus images of non-myopic retinal lesions and four categories of pathological myopic maculopathy were collected, graded, and labeled. Subsequently, three five-classification models based on Vision Outlooker for Visual Recognition (VOLO), EfficientNetV2, and ResNet50 for detecting myopic maculopathy were trained with data-augmented images, and the diagnostic results of the different trained models were compared and analyzed. The main evaluation metrics were sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), area under the curve (AUC), kappa and accuracy, and receiver operating characteristic curve (ROC).ResultsThe diagnostic accuracy of the VOLO-D2 model was 96.60% with a kappa value of 95.60%. All indicators used for the diagnosis of myopia-free macular degeneration were 100%. The sensitivity, NPV, specificity, and PPV for diagnosis of leopard fundus were 96.43, 98.33, 100, and 100%, respectively. The sensitivity, specificity, PPV, and NPV for the diagnosis of diffuse chorioretinal atrophy were 96.88, 98.59, 93.94, and 99.29%, respectively. The sensitivity, specificity, PPV, and NPV for the diagnosis of patchy chorioretinal atrophy were 92.31, 99.26, 97.30, and 97.81%, respectively. The sensitivity, specificity, PPV, and NPV for the diagnosis of macular atrophy were 100, 98.10, 84.21, and 100%, respectively.ConclusionThe VOLO-D2 model accurately identified myopia-free macular lesions and four pathological myopia-related macular lesions with high sensitivity and specificity. It can be used in screening pathological myopic macular lesions and can help ophthalmologists and primary medical institution providers complete the initial screening diagnosis of patients.

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Section: Methodsmentioning

confidence: 99%

Automated detection of myopic maculopathy using five-category models based on vision outlooker for visual recognition

Wan

Fang

Hua³

et al. 2023

Front. Comput. Neurosci.

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“…The same authors used the similar strategy for the synthesis of a new RP/ion‐exchange stationary phase by grafting hydrophobic styrene and cationic sodium 4‐styrenesulfonate onto silica surface . Compared with typical RP stationary phases, the prepared sorbent achieved better resolution and higher selectivity at a shorter separation time and lower organic content.…”

Section: Hybrid Mixed‐mode Stationary Phasesmentioning

confidence: 99%

Recent advances in mixed‐mode chromatographic stationary phases

Sýkora

Řezanka

Záruba

et al. 2018

J of Separation Science

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Mixed‐mode phases have become very popular in the last decade, and the number of new mixed/multi‐mode sorbents is growing fast. Unlike single‐mode stationary phases, perfectly suited for the separation of the analytes possessing similar physicochemical properties, for instance reversed‐phase chromatography for hydrophobic solutes, mixed‐mode sorbents providing multimodal interactions can render better separation selectivity for complex mixtures of solutes differing significantly in their physicochemical characteristics. The most frequent modern mixed‐mode stationary phases are di/tri‐mode sorbents embracing the following interactions, hydrophobic, electrostatic (coulombic), and hydrophilic. According to their structures, it is possible to distinguish silica‐based, polymer‐based, hybrid, and monolithic mixed‐mode stationary phases. Herewith, newly synthesized mixed‐mode sorbents developed within the last two and half years are categorized, discussed, and summarized. The main attention is devoted to the description of the synthetic routes and characterization methods applied for the new stationary phases.

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“…As the heart of high-performance liquid chromatography (HPLC) systems, stationary phases have drawn extensive attention. To meet the growing demand in different fields, various stationary phases used for HPLC have been developed. − Recently, stationary phases with mixed-mode mechanisms have emerged as the hot research topic, owing to the advantages of much higher sample loading capability, high selectivity, and good separation efficiency over the classical single-mode stationary phases. − Up to now, many kinds of mixed-mode stationary phases, including ion exchange chromatography (IEC)/reversed-phase liquid chromatography (RPLC), − hydrophilic interaction liquid chromatography (HILIC)/RPLC, ,, HILIC/IEC − and RPLC/HILIC/IEC, , were reported and applied in a number of separation fields. However, the search for multifarious stationary phases is still a growing demand in order to resolve the tasks of ever-evolving actual applications.…”

Section: Introductionmentioning

confidence: 99%

Core–Shell Metal–Organic Frameworks as the Mixed-Mode Stationary Phase for Hydrophilic Interaction/Reversed-Phase Chromatography

Liu

et al. 2019

ACS Appl. Mater. Interfaces

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Stationary phases with mixed-mode mechanisms have emerged as a hot research topic. In the present research, monodisperse core−shell UiO-67@SiO 2 materials were prepared and further served as the packed column for mixed-mode hydrophilic interaction liquid chromatography/reversed-phase liquid chromatography. The developed UiO-67@SiO 2 materials were characterized via thermogravimetric analysis, scanning electron microscopy, X-ray Powder diffraction, and Fourier transform infrared techniques. The developed UiO-67@SiO 2 column shows flexible selectivity for separation of both hydrophobic (anilines, alkylbenzenes, and polycyclic aromatic hydrocarbons) and hydrophilic (thioureas) compounds. Furthermore, the UiO-67@SiO 2 column was also utilized to characterize potential pollutants in lake water samples. In summary, the UiO-67@SiO 2 column provided flexible selectivity and wide-range retention behaviors for both hydrophilic and hydrophobic analytes.

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Preparation and evaluation of diblock copolymer‐grafted silica by sequential surface initiated‐atom transfer radical polymerization for reverse‐phase/ion‐exchange mixed‐mode chromatography

Cited by 14 publications

References 32 publications

Automated detection of myopic maculopathy using five-category models based on vision outlooker for visual recognition

Automated detection of myopic maculopathy using five-category models based on vision outlooker for visual recognition

Recent advances in mixed‐mode chromatographic stationary phases

Core–Shell Metal–Organic Frameworks as the Mixed-Mode Stationary Phase for Hydrophilic Interaction/Reversed-Phase Chromatography

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