Silver-decorated ZnO nanorods by photoreduction using a solution with and without previously formed Ag nanoparticles for SERS substrates DOI
M. G. Soriano-Rosales, A. Báez‐Rodríguez, J. Hernández-Torres

et al.

MRS Advances, Journal Year: 2023, Volume and Issue: 8(22), P. 1254 - 1260

Published: Nov. 17, 2023

Language: Английский

Current status and outlook of advances in exosome isolation DOI Open Access
Wenzhao Liu, Zhanjun Ma, Xuewen Kang

et al.

Analytical and Bioanalytical Chemistry, Journal Year: 2022, Volume and Issue: 414(24), P. 7123 - 7141

Published: Aug. 13, 2022

Language: Английский

Citations

92

Nanoparticles in Cancer Diagnosis and Treatment DOI Open Access
Jaya Baranwal, Brajesh Barse, Amalia Di Petrillo

et al.

Materials, Journal Year: 2023, Volume and Issue: 16(15), P. 5354 - 5354

Published: July 30, 2023

The use of tailored medication delivery in cancer treatment has the potential to increase efficacy while decreasing unfavourable side effects. For researchers looking improve clinical outcomes, chemotherapy for continues be most challenging topic. Cancer is one worst illnesses despite limits current therapies. New anticancer medications are therefore required treat cancer. Nanotechnology revolutionized medical research with new and improved materials biomedical applications, a particular focus on therapy diagnostics. In research, application metal nanoparticles as substitute drugs growing. Metals exhibit inherent or surface-induced properties, making metallic extremely useful. development proceeding rapidly many directions, offering alternative therapeutic strategies improving outcomes treatments. This review aimed present commonly used applications.

Language: Английский

Citations

59

Extracellular Vesicle Preparation and Analysis: A State‐of‐the‐Art Review DOI Creative Commons
Zesheng Wang, Xiaoyu Zhou, Qinglong Kong

et al.

Advanced Science, Journal Year: 2024, Volume and Issue: 11(30)

Published: June 14, 2024

Abstract In recent decades, research on Extracellular Vesicles (EVs) has gained prominence in the life sciences due to their critical roles both health and disease states, offering promising applications diagnosis, drug delivery, therapy. However, inherent heterogeneity complex origins pose significant challenges preparation, analysis, subsequent clinical application. This review is structured provide an overview of biogenesis, composition, various sources EVs, thereby laying groundwork for a detailed discussion contemporary techniques preparation analysis. Particular focus given state‐of‐the‐art technologies that employ microfluidic non‐microfluidic platforms EV processing. Furthermore, this discourse extends into innovative approaches incorporate artificial intelligence cutting‐edge electrochemical sensors, with particular emphasis single proposes current outlines prospective avenues future research. The objective motivate researchers innovate expand methods analysis fully unlocking biomedical potential.

Language: Английский

Citations

37

Application of serum SERS technology combined with deep learning algorithm in the rapid diagnosis of immune diseases and chronic kidney disease DOI Creative Commons
Jie Yang, Xiaomei Chen,

Cainan Luo

et al.

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: Sept. 21, 2023

Abstract Surface-enhanced Raman spectroscopy (SERS), as a rapid, non-invasive and reliable spectroscopic detection technique, has promising applications in disease screening diagnosis. In this paper, an annealed silver nanoparticles/porous silicon Bragg reflector (AgNPs/PSB) composite SERS substrate with high sensitivity strong stability was prepared by immersion plating heat treatment using porous (PSB) the substrate. The combines five deep learning algorithms of improved AlexNet, ResNet, SqueezeNet, temporal convolutional network (TCN) multiscale fusion neural (MCNN). We constructed rapid models for patients primary Sjögren’s syndrome (pSS) healthy controls (HC), diabetic nephropathy (DN) respectively. results showed that AgNPs/PSB substrates performed well diagnosing. Among them, MCNN model had best classification effect two groups experiments, accuracy rate 94.7% 92.0%, Previous studies have indicated substrate, combined machine algorithms, achieved This study shows technology based on algorithm greater developmental prospect research value early identification immune diseases chronic kidney disease, providing reference ideas clinical medical diagnosis patients.

Language: Английский

Citations

18

Current Trends of Raman Spectroscopy in Clinic Settings: Opportunities and Challenges DOI Creative Commons
Yumei Wang, Liuru Fang, Yuhua Wang

et al.

Advanced Science, Journal Year: 2023, Volume and Issue: 11(7)

Published: Dec. 10, 2023

Early clinical diagnosis, effective intraoperative guidance, and an accurate prognosis can lead to timely medical treatment. The current conventional methods have several limitations. Therefore, there is a need develop faster more reliable detection, treatment, monitoring enhance their applications. Raman spectroscopy noninvasive provides highly specific information about the molecular structure biochemical composition of analytes in rapid manner. It has wide range applications biomedicine, materials, settings. This review primarily focuses on application medicine. advantages limitations over traditional are discussed. In addition, combining with machine learning, nanoparticles, probes demonstrated, thereby extending its applicability different phases. Examples last 3 years also integrated. Finally, various prospective approaches based studies surveyed, challenges

Language: Английский

Citations

17

Low-abundance proteins-based label-free SERS approach for high precision detection of liver cancer with different stages DOI
Tong Sun,

Yamin Lin,

Yun Yu

et al.

Analytica Chimica Acta, Journal Year: 2024, Volume and Issue: 1304, P. 342518 - 342518

Published: March 21, 2024

Language: Английский

Citations

5

Converging frontiers in cancer treatment: the role of nanomaterials, mesenchymal stem cells, and microbial agents—challenges and limitations DOI Creative Commons
Hamed Afkhami, Aref Yarahmadi,

Shoroq Bostani

et al.

Discover Oncology, Journal Year: 2024, Volume and Issue: 15(1)

Published: Dec. 21, 2024

Globally, people widely recognize cancer as one of the most lethal diseases due to its high mortality rates and lack effective treatment options. Ongoing research into therapies remains a critical area inquiry, holding significant social relevance. Currently used treatment, such chemotherapy, radiation, or surgery, often suffers from other problems like damaging side effects, inaccuracy, ability clear tumors. Conventional are usually imprecise ineffective develop resistance treatments recurs. Cancer patients need fresh innovative that can reduce effects while maximizing effectiveness. In recent decades several breakthroughs in these, areas medical research, have paved way for new avenues fighting including more focused alternatives. This study reviews exciting possibilities mesenchymal stem cells (MSCs), nanomaterials, microbial agents modern realm treatment. Nanoparticles (NPs) demonstrated surprisingly potential. They improve drug delivery systems (DDS) significantly, enhance imaging techniques remarkably, target selectively protecting healthy tissues. MSCs play double role tissue repair vehicle novel gene NPs loaded with therapeutic agents. Additionally, utilizing agents, particularly those involving bacteria, offer an inventive approach review investigates potential MSCs, addressing shortcomings conventional therapies. We will also discuss challenges limitations using these approaches.

Language: Английский

Citations

5

Fluorescent aptasensor based on the MNPs-CRISPR/Cas12a-TdT for the determination of nasopharyngeal carcinoma-derived exosomes DOI
Yi Peng, Dan Luo, Zhong Feng Gao

et al.

Microchimica Acta, Journal Year: 2023, Volume and Issue: 190(2)

Published: Jan. 26, 2023

Language: Английский

Citations

13

Stability Dynamics of Plant-Based Extracellular Vesicles Drug Delivery DOI Creative Commons
Saurabh Rawat, Sanchit Arora,

Madhukiran R. Dhondale

et al.

Journal of Xenobiotics, Journal Year: 2025, Volume and Issue: 15(2), P. 55 - 55

Published: April 13, 2025

Plant-based extracellular vesicles (PBEVs) have been recognized for their wide range of applications in drug delivery however, the extent medicinal applicability depends on how well they are preserved and stored. Assessing physicochemical properties, such as size, particle concentration, shape, activity cargo, forms foundation determining stability during storage. Moreover, evaluation PBEVs is essential to ensure both safety efficacy, which critical advancing clinical development. Maintaining biological EVs storage a challenging task, similar preservation cells other cell-derived products like proteins. However, despite limited studies, it expected that storing drug-loaded may present fewer challenges compared cell-based therapies, although some limitations inevitable. This article provides comprehensive overview current knowledge methods, particularly focusing role carriers. hold promise potential candidates oral administration due effective intestinal absorption ability withstand basic acidic environments. maintaining critical. this review centers isolation, characterization, PBEVs, exploring advantages offer. Furthermore, highlights key areas require further research overcome existing enhance development methods therapeutic EVs.

Language: Английский

Citations

0

Small extracellular vesicles: the origins, current status, future prospects, and applications DOI Creative Commons
Xinyi Zhou, Jin Huang,

Dianqi Zhang

et al.

Stem Cell Research & Therapy, Journal Year: 2025, Volume and Issue: 16(1)

Published: April 17, 2025

Small extracellular vesicles (sEVs) are membrane-bound with a size of less than 200 nm, released by cells. Due to their relatively small molecular weight and ability participate in intercellular communication, sEVs can serve not only as carriers biomarkers for disease diagnosis but also effective drug delivery agents. Furthermore, these involved regulating the onset progression various diseases, reflecting physiological functional states This paper introduces classification vesicles, focus on extraction identification significant role repair, diagnosis, communication. Additionally, addresses engineering modification provide reference enhanced understanding application.

Language: Английский

Citations

0