Nanomedicine in cancer therapy

Signal Transduction and Targeted Therapy, Год журнала: 2023, Номер 8(1)

Опубликована: Авг. 7, 2023

Cancer remains a highly lethal disease in the world. Currently, either conventional cancer therapies or modern immunotherapies are non-tumor-targeted therapeutic approaches that cannot accurately distinguish malignant cells from healthy ones, giving rise to multiple undesired side effects. Recent advances nanotechnology, accompanied by our growing understanding of biology and nano-bio interactions, have led development series nanocarriers, which aim improve efficacy while reducing off-target toxicity encapsulated anticancer agents through tumor tissue-, cell-, organelle-specific targeting. However, vast majority nanocarriers do not possess hierarchical targeting capability, their indices often compromised poor accumulation, inefficient cellular internalization, inaccurate subcellular localization. This Review outlines current prospective strategies design organelle-targeted nanomedicines, highlights latest progress technologies can dynamically integrate these three different stages static maximize outcomes. Finally, we briefly discuss challenges future opportunities for clinical translation nanomedicines.

Язык: Английский

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Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery

Chemical Reviews, Год журнала: 2022, Номер 122(16), С. 13478 - 13515

Опубликована: Июль 21, 2022

Electrocatalysts and photocatalysts are key to a sustainable future, generating clean fuels, reducing the impact of global warming, providing solutions environmental pollution. Improved processes for catalyst design better understanding electro/photocatalytic essential improving effectiveness. Recent advances in data science artificial intelligence have great potential accelerate electrocatalysis photocatalysis research, particularly rapid exploration large materials chemistry spaces through machine learning. Here comprehensive introduction to, critical review of, learning techniques used research provided. Sources electro/photocatalyst current approaches representing these by mathematical features described, most commonly methods summarized, quality utility models evaluated. Illustrations how applied novel discovery elucidate electrocatalytic or photocatalytic reaction mechanisms The offers guide scientists on selection research. application catalysis represents paradigm shift way advanced, next-generation catalysts will be designed synthesized.

Язык: Английский

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The rise of self-driving labs in chemical and materials sciences

Nature Synthesis, Год журнала: 2023, Номер 2(6), С. 483 - 492

Опубликована: Янв. 30, 2023

Язык: Английский

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Regulating the Tip Effect on Single‐Atom and Cluster Catalysts: Forming Reversible Oxygen Species with High Efficiency in Chlorine Evolution Reaction

Angewandte Chemie International Edition, Год журнала: 2022, Номер 61(16)

Опубликована: Фев. 4, 2022

Chlorine evolution reaction has been applied in the production since a century ago. After times of evolution, it widely realized by electrocatalytic process on anode nowadays. However, contains large amount precious metal, increasing cost. It is thus an opportunity to apply sub-nano catalysts this field. By regulating tip effect (TE) catalyst, was discovered that oxidized iridium clusters supported titanium carbide exhibit much higher efficiency than single-atom one, which demonstrates significance modifying electronic interaction. Moreover, exhibits ≈20 % decrease electricity, ≈98 selectivity towards chlorine reaction, and high durability over 350 h. Therefore, cluster catalyst performs great potential applying practical comprehension different types also pushed level.

Язык: Английский

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Controlling Nucleation Pathways in Zeolite Crystallization: Seeding Conceptual Methodologies for Advanced Materials Design

Journal of the American Chemical Society, Год журнала: 2021, Номер 143(51), С. 21446 - 21460

Опубликована: Дек. 16, 2021

A core objective of synthesizing zeolites for widespread applications is to produce materials with properties and corresponding performances that exceed conventional counterparts. This places an impetus on elucidating controlling processes crystallization where one the most critical design criteria ability prepare zeolite crystals ultrasmall dimensions mitigate deleterious effects mass transport limitations. At fundamental level, this requires a comprehensive understanding nucleation address ubiquitous gap. Perspective highlights recent methodologies alter by using seed-assisted protocols exploitation interzeolite transformations advanced materials. Introduction crystalline seeds in complex growth media used synthesize can have wide-ranging physicochemical final product. Here we discuss diverse pathways nucleation, breakthroughs syntheses nanosized hierarchical materials, shortcomings developing generalized guidelines predict synthesis outcomes. We offer analysis state-of-the-art approaches tailor wherein conceptualize whether parallels between network theory be instrumental translating key findings individual discoveries across broader set crystal structures and/or conditions.

Язык: Английский

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An artificial intelligence enabled chemical synthesis robot for exploration and optimization of nanomaterials

Science Advances, Год журнала: 2022, Номер 8(40)

Опубликована: Окт. 7, 2022

We present an autonomous chemical synthesis robot for the exploration, discovery, and optimization of nanostructures driven by real-time spectroscopic feedback, theory, machine learning algorithms that control reaction conditions allow selective templating reactions. This approach allows transfer materials as seeds between cycles opening search space like gene in biology. The open-ended exploration seed-mediated multistep gold nanoparticles (AuNPs) via in-line ultraviolet-visible characterization led to discovery five categories only performing ca. 1000 experiments three hierarchically linked spaces. platform optimized with desired optical properties combining extinction spectrum simulations achieve a yield up 95%. synthetic procedure is outputted universal format using description language (χDL) analytical data produce unique digital signature enable reproducibility synthesis.

Язык: Английский

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Artificial intelligence-powered electronic skin

Nature Machine Intelligence, Год журнала: 2023, Номер 5(12), С. 1344 - 1355

Опубликована: Дек. 18, 2023

Язык: Английский

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Prediction and Design of Nanozymes using Explainable Machine Learning

Advanced Materials, Год журнала: 2022, Номер 34(27)

Опубликована: Апрель 30, 2022

An abundant number of nanomaterials have been discovered to possess enzyme-like catalytic activity, termed nanozymes. It is identified that a variety internal and external factors influence the activity However, there lack essential methodologies uncover hidden mechanisms between nanozyme features activity. Here, data-driven approach demonstrated utilizes machine-learning algorithms understand particle-property relationships, allowing for classification quantitative predictions exhibited by High consistency predicted outputs observations confirmed accuracy (90.6%) R2 (up 0.80). Furthermore, sensitive analysis models reveals central roles transition metals in determining As an example, are successfully applied predict or design desirable nanozymes uncovering relationship different periods their performance. This study offers promising strategy develop with demonstrates potential machine learning within field material science.

Язык: Английский

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Understanding Synthesis–Structure–Performance Correlations of Nanoarchitectured Activated Carbons for Electrochemical Applications and Carbon Capture

Advanced Functional Materials, Год журнала: 2022, Номер 32(40)

Опубликована: Авг. 7, 2022

Abstract Activated carbons are one of the most important classes high‐surface‐area porous materials. Owing to their unique structure, low price, and large‐scale production technology, these have been traditionally used as sorbents for eliminating contamination. In past decade, many innovations seen in synthesis, applications, theoretical experimental methods. Herein, a comprehensive review up‐to‐date progress activated is presented from viewpoint synthetic chemistry materials science. First, critical textural properties discussed, with special emphasis on texture, heteroatom doping, surface functional groups, partial graphitization. Next, advanced strategies summarized. Special attention given reaction mechanism between activating agents carbon sources, well design controlled forms morphology. Then, applicability various emerging fields covered, including supercapacitors, capacitive deionization, batteries, electrocatalysis, capture. particular, this highlights potential synthesis–structure–property correlations Finally, we present future challenges outlook success energy environmental

Язык: Английский

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Artificial intelligence to bring nanomedicine to life

Advanced Drug Delivery Reviews, Год журнала: 2022, Номер 184, С. 114194 - 114194

Опубликована: Март 10, 2022

Язык: Английский

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