Supramolecular and Functional Nanomaterials for Theranostic, Catalysis, and Sensor Applications

Topic Information

Dear Colleagues,

Smart polymeric or nano-materials equipped with stimuli-controlled supramolecular components or molecular machines have attracted a lot of attention, particularly for drug delivery, enzyme-mimicking catalysis, molecular/biosensing, imaging and therapy. Novel approaches have been utilized to synthesize new composite nanostructures for combined functions, mimicking and advancing functional enzyme systems. New methods on the effective synthesis of polymeric or organic–inorganic hybrid nanomaterials will be beneficial to investigate the biosensing, combined drug encapsulation and release and catalysis for renewable materials. Cutting-edge imaging techniques such as mass spectrometry imaging, magnetic resonance imaging and other new techniques will shed light on these bio-uptake mechanisms. Targeted therapy can be achieved by external stimuli such as pH, light, ultrasound, enzymes and biomarkers. You are cordially invited to submit a manuscript to one of the journals in this Topic.

Dr. Ken Cham-Fai Leung
Dr. Xunjin Zhu
Dr. Matthew Y. Lui
Dr. Nghia P. Truong
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Journal of Composites Science jcs	3.0	5.0	2017	17.9 Days	CHF 1800
Journal of Functional Biomaterials jfb	5.0	4.6	2010	16.6 Days	CHF 2700
Materials materials	3.1	5.8	2008	13.9 Days	CHF 2600
Nanomaterials nanomaterials	4.4	8.5	2010	14.1 Days	CHF 2400
Polymers polymers	4.7	8.0	2009	14.5 Days	CHF 2700

Preprints.org is a multidisciplinary platform offering a preprint service designed to facilitate the early sharing of your research. It supports and empowers your research journey from the very beginning.

MDPI Topics is collaborating with Preprints.org and has established a direct connection between MDPI journals and the platform. Authors are encouraged to take advantage of this opportunity by posting their preprints at Preprints.org prior to publication:

1. Share your research immediately: disseminate your ideas prior to publication and establish priority for your work.
2. Safeguard your intellectual contribution: Protect your ideas with a time-stamped preprint that serves as proof of your research timeline.
3. Boost visibility and impact: Increase the reach and influence of your research by making it accessible to a global audience.
4. Gain early feedback: Receive valuable input and insights from peers before submitting to a journal.
5. Ensure broad indexing: Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.

Published Papers (5 papers)

Order results

Content type Publication Date

Result details

Normal Extended Compact

Journals

All J. Compos. Sci. JFB Materials Nanomaterials Polymers

Show export options expand_more Show export options expand_less

Select all

Export citation of selected articles as:

Plain Text BibTeX BibTeX (without abstracts) Endnote Endnote (without abstracts) Tab-delimited RIS

Error

Oops... you haven't selected anything for export.

Ok

clear

attachment

Supplementary material:
Supplementary File 1 (ZIP, 579 KiB)

15 pages, 5865 KiB  

Open AccessArticle

Preparation of Volborthite by a Facile Synthetic Chemical Solvent Extraction Method

by María Guadalupe Sánchez-Loredo, Salvador Antonio Palomares-Sánchez, Gladis Judith Labrada-Delgado, Toni Helbig, Paul Chekhonin, Doreen Ebert, Robert Möckel, Jones Owusu Afriyie and Norman Kelly

Nanomaterials 2023, 13(13), 1977; https://doi.org/10.3390/nano13131977 - 29 Jun 2023

Cited by 2 | Viewed by 1367

Abstract

In this work, the extraction of vanadium (V) ions from an alkaline solution using a commercial quaternary ammonium salt and the production of metal vanadates through precipitation stripping were carried out. The crystallization of copper vanadates from the extracts was performed using a [...] Read more.

In this work, the extraction of vanadium (V) ions from an alkaline solution using a commercial quaternary ammonium salt and the production of metal vanadates through precipitation stripping were carried out. The crystallization of copper vanadates from the extracts was performed using a solution containing a copper(II) source in concentrated chloride media as a stripping agent. In an attempt to control growth, a stabilizing polymer (polyvinylpyrrolidone, PVP) was added to the stripping solution. The structural characteristics of the crystallized products, mainly copper pyrovanadate (volborthite, Cu₃V₂O₇(OH)₂·(H₂O)₂) nanoflakes and nanoflowers and the experimental parameter influencing the efficiency of the stripping process were studied. From the results, the synthesis of nanostructured vanadates is a simple and versatile method for the fabrication of valuable three-dimensional structures providing abundant active zones for energy and catalytic applications. Full article

(This article belongs to the Topic Supramolecular and Functional Nanomaterials for Theranostic, Catalysis, and Sensor Applications)

►▼ Show Figures

Figure 1

13 pages, 3562 KiB  

Open AccessArticle

Fabrication of a Molecularly-Imprinted-Polymer-Based Graphene Oxide Nanocomposite for Electrochemical Sensing of New Psychoactive Substances

by Xue Jiang, Fangsheng Wu, Xiaoyu Huang, Shan He, Qiaoying Han, Zihua Zhang and Wenbin Liu

Nanomaterials 2023, 13(4), 751; https://doi.org/10.3390/nano13040751 - 16 Feb 2023

Cited by 7 | Viewed by 2206

Abstract

As new psychoactive substances (commonly known as “the third generation drugs”) have characteristics such as short-term emergence, rapid updating, and great social harmfulness, there is a large gap in the development of their detection methods. Herein, graphite oxide (GO) was first prepared and [...] Read more.

As new psychoactive substances (commonly known as “the third generation drugs”) have characteristics such as short-term emergence, rapid updating, and great social harmfulness, there is a large gap in the development of their detection methods. Herein, graphite oxide (GO) was first prepared and immobilized with a reversible addition-fragmentation chain transfer (RAFT) agent, then a new psychoactive substance (4-MEC) was chosen as a template, and then the surface RAFT polymerization of methacrylamide (MAAM) was carried out by using azobisisobutyronitrile (AIBN) as an initiator and divinylbenzene (DVB) as a cross-linker. After the removal of the embedded template, graphene oxide modified by molecularly imprinted polymers (GO-MIPs) was finally obtained. Owing to the specific imprinted cavities for 4-MEC, the satisfactory selectivity and stability of the GO-MIP nanocomposite have been demonstrated. The GO-MIP nanocomposite was then used to fabricate the electrochemical sensor, which displayed a high selectivity in detecting 4-MEC over a linear concentration range between 5 and 60 μg mL⁻¹ with a detection limit of 0.438 μg mL⁻¹. As a result, the GO-MIPs sensor developed an accurate, efficient, convenient, and sensitive method for public security departments to detect illicit drugs and new psychoactive substances. Full article

(This article belongs to the Topic Supramolecular and Functional Nanomaterials for Theranostic, Catalysis, and Sensor Applications)

►▼ Show Figures

Figure 1

19 pages, 2480 KiB  

Open AccessArticle

Developing of SiO₂ Nanoshells Loaded with Fluticasone Propionate for Potential Nasal Drug Delivery: Determination of Pro-Inflammatory Cytokines through mRNA Expression

by Yasir Mehmood, Hira Shahid, Md Abdur Rashid, Yahya Alhamhoom and Mohsin Kazi

J. Funct. Biomater. 2022, 13(4), 229; https://doi.org/10.3390/jfb13040229 - 8 Nov 2022

Cited by 11 | Viewed by 3028

Abstract

Mesoporous Silica Nanoparticles (MSN) are porous inorganic materials that have been extensively used for drug delivery due to their special qualities, such as biocompatibility, biodegradability, and non-toxicity. MSN is a promising drug delivery system to enhance the efficacy and safety of drug administration [...] Read more.

Mesoporous Silica Nanoparticles (MSN) are porous inorganic materials that have been extensively used for drug delivery due to their special qualities, such as biocompatibility, biodegradability, and non-toxicity. MSN is a promising drug delivery system to enhance the efficacy and safety of drug administration in nasal diseases like chronic rhinitis (CR). In this study, we used the sol-gel technique for MSN synthesis and incorporate fluticasone propionate (FP) for intranasal drug administration for the treatment of chronic rhinitis (CR). In order to confirm the particle size, shape, drug release, and compatibility, various instruments were used. MSN was effectively prepared with average sizes ranging between 400 $\pm 34\mathrm{nm}$ (mean $\pm \mathrm{SD}$) as measured by dynamic light scattering (DLS), while zeta potential verified in all cases their positive charged surface. To investigate MSN features, the Fourier transform infrared spectrometer (FTIR), scanning electron microscopy (SEM), transmission electron microscope (TEM), thermal analysis, X-ray diffraction (XRD), and nitrogen adsorption/desorption measurement were used. The loaded compound was submitted to in vitro dissolution tests, and a remarkable dissolution rate improvement was observed compared to the crystalline drug in both pH conditions (1.2 and 7.4 pH). By using an MTT assay cell viability was assessed. The expression levels of the anti-inflammatory cytokines IL-4 and IL-5 were also measured using mRNA extraction from rat blood. Other characterizations like acute toxicity and hemolytic activity were also performed to confirm loaded MSN safety. Loaded MSN was incorporated in nasal spray prepared by using innovator excipients including poloxamer. After this, its nasal spray’s physical characteristics were also determined and compared with a commercial product (Ticovate). Full article

(This article belongs to the Topic Supramolecular and Functional Nanomaterials for Theranostic, Catalysis, and Sensor Applications)

►▼ Show Figures

Figure 1

10 pages, 3970 KiB  

Open AccessArticle

Gas Sensitive Materials Based on Polyacrylonitrile Fibers and Nickel Oxide Nanoparticles

by Bayan Kaidar, Gaukhar Smagulova, Aigerim Imash and Zulkhair Mansurov

J. Compos. Sci. 2022, 6(11), 326; https://doi.org/10.3390/jcs6110326 - 2 Nov 2022

Cited by 2 | Viewed by 2391

Abstract

The results of the synthesis of PAN/NiO composite fibers by the electrospinning method are presented. The electrospinning installation included a rotating drum collector for collecting fibers. Nickel oxide nanoparticles were synthesized by solution combustion synthesis from nickel nitrate and urea. It was shown [...] Read more.

The results of the synthesis of PAN/NiO composite fibers by the electrospinning method are presented. The electrospinning installation included a rotating drum collector for collecting fibers. Nickel oxide nanoparticles were synthesized by solution combustion synthesis from nickel nitrate and urea. It was shown that monophase NiO nanoparticles with average particle sizes of 154 nm could be synthesized by this method. NiO nanoparticles were investigated by X-ray diffraction analysis and scanning electron microscopy. Based on NiO nanoparticles, composite PAN/NiO fibers were obtained by electrospinning. The obtained composite fibers were modified with heat treatment (stabilization and carbonization) processes. Obtained C/NiO fibers were investigated by SEM, and EDAX. It was shown that obtained composite fibers could be used for the detection of acetone and acetylene in air. These results show that C/NiO based electrospun fibers have potential applications in gas sensors. Full article

(This article belongs to the Topic Supramolecular and Functional Nanomaterials for Theranostic, Catalysis, and Sensor Applications)

►▼ Show Figures

Figure 1

attachment

Supplementary material:
Supplementary File 1 (ZIP, 38014 KiB)

14 pages, 3106 KiB  

Open AccessArticle

Low-Cost Self-Calibration Data Glove Based on Space-Division Multiplexed Flexible Optical Fiber Sensor

by Hui Yu, Daifu Zheng, Yun Liu, Shimeng Chen, Xiaona Wang and Wei Peng

Polymers 2022, 14(19), 3935; https://doi.org/10.3390/polym14193935 - 20 Sep 2022

Cited by 10 | Viewed by 3615

Abstract

Wearable devices such as data gloves have experienced tremendous growth over the past two decades. It is vital to develop flexible sensors with fast response, high sensitivity and high stability for intelligent data gloves. Therefore, a tractable low-cost flexible data glove with self-calibration [...] Read more.

Wearable devices such as data gloves have experienced tremendous growth over the past two decades. It is vital to develop flexible sensors with fast response, high sensitivity and high stability for intelligent data gloves. Therefore, a tractable low-cost flexible data glove with self-calibration function based on a space-division multiplexed flexible optical fiber sensor is proposed. A simple, stable and economical method was used to fabricate flexible silicone rubber fiber for a stretchable double-layered coaxial cylinder. The test results show that the fiber is not sensitive to the temperature range of (20~50 °C) and exhibits excellent flexibility and high stability under tensile, bending and torsional deformation. In addition, the signal detection part of the data glove enables compact and efficient real-time information acquisition and processing. Combined with a self-calibration function that can improve the accuracy of data acquisition, the data glove can be self-adaptive according to different hand sizes and bending habits. In a gesture capture test, it can accurately recognize and capture each gesture, and guide the manipulator to make the same action. The low-cost, fast-responding and structurally robust data glove has potential applications in areas such as sign language recognition, telemedicine and human–robot interaction. Full article

(This article belongs to the Topic Supramolecular and Functional Nanomaterials for Theranostic, Catalysis, and Sensor Applications)

►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less

Select all

Export citation of selected articles as:

Plain Text BibTeX BibTeX (without abstracts) Endnote Endnote (without abstracts) Tab-delimited RIS

 

Error

Oops... you haven't selected anything for export.

Ok

clear

Displaying articles 1-5