A review of metal-organic frameworks and polymers in mixed matrix membranes for CO₂ capture

• Charlotte Skjold Qvist Christensen,
• Nicholas Hansen,
• Mahboubeh Motadayen,
• Nina Lock,
• Martin Lahn Henriksen and
• Jonathan Quinson

Beilstein J. Nanotechnol. 2025, 16, 155–186, doi:10.3762/bjnano.16.14

Instance maps as an organising concept for complex experimental workflows as demonstrated for (nano)material safety research

• Benjamin Punz,
• Maja Brajnik,
• Joh Dokler,
• Jaleesia D. Amos,
• Litty Johnson,
• Katie Reilly,
• Anastasios G. Papadiamantis,
• Amaia Green Etxabe,
• Lee Walker,
• Diego S. T. Martinez,
• Steffi Friedrichs,
• Klaus M. Weltring,
• Nazende Günday-Türeli,
• Claus Svendsen,
• Christine Ogilvie Hendren,
• Mark R. Wiesner,
• Martin Himly,
• Iseult Lynch and
• Thomas E. Exner

Beilstein J. Nanotechnol. 2025, 16, 57–77, doi:10.3762/bjnano.16.7

• chemicals are currently being revised for the use with nanomaterials [26]. Development of the instance map concept The complexity and transformability of nanomaterials also has consequences for the databases used to organise and store nanomaterial characterisation and (eco)toxicity data. Databases needed to

• from literature or public databases (secondary data). This distinction becomes important, however, when using instance maps for complex study design workflows, where primary data can be further categorised into wet-lab and computationally produced data. To capture the complete experimental metadata, it

Integrating high-performance computing, machine learning, data management workflows, and infrastructures for multiscale simulations and nanomaterials technologies

• Fabio Le Piane,
• Mario Vozza,
• Matteo Baldoni and
• Francesco Mercuri

Beilstein J. Nanotechnol. 2024, 15, 1498–1521, doi:10.3762/bjnano.15.119

• materials research is cloud computing. Cloud-based platforms provide on-demand access to HPC resources and large databases and infrastructures. Cloud-based infrastructures for materials research offer scalability, flexibility, and accessibility, empowering researchers to collaborate, analyze data, and

• technological questions into simulation and modelling workflows [42][43]. Additionally, these tools often come with pre-built databases, libraries, and visualization capabilities, further enhancing their usability and efficiency. In this work, we outline different aspects of data-intensive digital and

• strategies heavily rely on data from various sources, including experimental measurements, simulations, and literature databases. However, ensuring the accessibility, reliability, and interoperability of data remains a significant hurdle. Standardization efforts and data sharing platforms are essential to

A review on the structural characterization of nanomaterials for nano-QSAR models

• Salvador Moncho,
• Eva Serrano-Candelas,
• Jesús Vicente de Julián-Ortiz and
• Rafael Gozalbes

Beilstein J. Nanotechnol. 2024, 15, 854–866, doi:10.3762/bjnano.15.71

• an electronic calculation. Also, experimental physical properties of the compound, obtained from classical databases or literature sources, could be used. However, because these measures correspond to the bulk material and do not characterize the nanoform, we classify them as composition-related

• properties, a specific size within a suitable range might have a less pronounced impact. Consequently, and also because of the limited size variations present in the databases used to train QSAR models, size is often perceived as a parameter of lesser relevance. In summary, our review discusses and

When nanomedicines meet tropical diseases

• Eder Lilia Romero,
• Katrien Van Bocxlaer and
• Fabio Rocha Formiga

Beilstein J. Nanotechnol. 2024, 15, 830–832, doi:10.3762/bjnano.15.69

• comprehensive review on the field. Herein, the authors have accessed different databases, finding inorganic and polymeric nanoparticles as the most investigated nanosystems towards schistosomiasis, an acute and chronic parasitic NTD caused by blood-feeding nematodes of the genus Schistosoma [6]. Another

On the additive artificial intelligence-based discovery of nanoparticle neurodegenerative disease drug delivery systems

• Shan He,
• Julen Segura Abarrategi,
• Harbil Bediaga,
• Sonia Arrasate and
• Humberto González-Díaz

Beilstein J. Nanotechnol. 2024, 15, 535–555, doi:10.3762/bjnano.15.47

• connections regarding methodology and used databases to our previous publications. For each PTML model development, data download/compilation, data curation, and so on were carried out separately by researchers. First, the database of antineurodegenerative drugs (ADs) was downloaded from ChEMBL by Alonso and

• preclinical assays for NPs. To achieve this, we conducted the IF of AD and NP databases, curated the data, combined the objective and reference functions, and calculated the PTO. NDDs ChEMBL dataset First, we collected the data of preclinical assays for NDDs from the ChEMBL dataset (see step 2.1. in Figure 1

• databases Pubmed and SciFinder [63][64][65]. This dataset included 260 preclinical assays for 31 unique NPs. Therefore, the number of assays for each NP is about 8.39. Moreover, the data covered a huge range of properties of NPs such as morphology, physicochemical properties, coating agents, length, and

Nanotechnological approaches in the treatment of schistosomiasis: an overview

• Lucas Carvalho,
• Michelle Sarcinelli and
• Beatriz Patrício

Beilstein J. Nanotechnol. 2024, 15, 13–25, doi:10.3762/bjnano.15.2

• studies without apparent justification. This integrative review aims to examine works published in this area with a precise and reproducible method. To achieve this, three databases (i.e., Pubmed, Web of Science, and Scopus) were searched from March 31, 2022, to March 31, 2023. The search results included

• methodology, highlighting the main nanoparticles and drugs used in the literature to treat schistosomiasis. Results and Discussion We found 65 available articles that met the requirements, 75% (n = 49) were found in databases, while the remaining 25% (16 articles) were found through reference scanning. Table

• countries. Conclusion In this review, we selected 65 papers using three databases: Pubmed, Scopus, and Web of Science; and the reference within the selected papers. This is a great number since none of the recent reviews have brought this amount of articles on this topic [13][15][105] together. This is due

Frequency-dependent nanomechanical profiling for medical diagnosis

• Santiago D. Solares and
• Alexander X. Cartagena-Rivera

Beilstein J. Nanotechnol. 2022, 13, 1483–1489, doi:10.3762/bjnano.13.122

• healthcare strategies that link routine AFM measurements with computer analysis, real-time communication with healthcare providers, and medical databases. This approach would be appropriate for diseases such as cancer, lupus, arteriosclerosis and arthritis, among others, which bring about significant

• -time communication with healthcare providers, as well as the development of large databases of robust measurements classified by patient biometrics or as a function of disease progress. Perspective Limited adoption of nanomechanical AFM measurements in broad-impact medical applications AFM is a well

• others, as well as within rehabilitation or athletic settings where the mechanical properties of tissues directly influence the subject’s locomotion or athletic ability. Furthermore, such integration would also enable the creation of large standardized databases, from which important disease trends could

Straight roads into nowhere – obvious and not-so-obvious biological models for ferrophobic surfaces

• Wilfried Konrad,
• Christoph Neinhuis and
• Anita Roth-Nebelsick

Beilstein J. Nanotechnol. 2022, 13, 1345–1360, doi:10.3762/bjnano.13.111

• fact, the central role of an identified biological function is at the heart of the top-down strategy and also the basis of facilitating biomimetic research by devising formal schemes of biomimetic work [15][48]. As described in the Introduction, biomimetic tools such as TRIZ or other databases

Irradiation-driven molecular dynamics simulation of the FEBID process for Pt(PF₃)₄

• Alexey Prosvetov,
• Alexey V. Verkhovtsev,
• Gennady Sushko and
• Andrey V. Solov’yov

Beilstein J. Nanotechnol. 2021, 12, 1151–1172, doi:10.3762/bjnano.12.86

• nanostructure growth rate. The chemical composition and geometry of both the precursor and the substrate are specified using the standard .pdb or .xyz file formats. Atomic coordinates for many different precursor molecules can be found in online databases, for example, the NIST Chemistry WebBook (https

Internalization mechanisms of cell-penetrating peptides

• Ivana Ruseska and
• Andreas Zimmer

Beilstein J. Nanotechnol. 2020, 11, 101–123, doi:10.3762/bjnano.11.10

• followed by the development of two peptides used for the noncovalent delivery of proteins and peptides, MPG and Pep-1 [10]. Today, we have a myriad of CPPs and databases which allow one to browse existing CPPs based on chemical modifications, category, cargo or peptide lengths [6]. Classification of cell

Serum type and concentration both affect the protein-corona composition of PLGA nanoparticles

• Katrin Partikel,
• Robin Korte,
• Dennis Mulac,
• Hans-Ulrich Humpf and
• Klaus Langer

Beilstein J. Nanotechnol. 2019, 10, 1002–1015, doi:10.3762/bjnano.10.101

• considerably increased indicating that circulation times in human patients may be different than that observed in animal models. However, one has to keep in mind that variations in analytical methods as well as measurement interpretation based on different databases can make direct comparisons of individual

• ; and tube lens 135 V. Data analysis for protein identification For protein identification a database search was performed with PEAKS 7 (Bioinformatics Solutions, Waterloo, Canada) against the UniProt KB databases (Bos taurus, created 2016-04-25, 43803 entries; Homo sapiens, created 2016-03-12, 1073900

Nanoporous water oxidation electrodes with a low loading of laser-deposited Ru/C exhibit enhanced corrosion stability

• Sandra Haschke,
• Dmitrii Pankin,
• Vladimir Mikhailovskii,
• Maïssa K. S. Barr,
• Adriana Both-Engel,
• Alina Manshina and
• Julien Bachmann

Beilstein J. Nanotechnol. 2019, 10, 157–167, doi:10.3762/bjnano.10.15

• thermodynamic databases, Geological Survey of Japan Open File Report No.419) [12]. The limited thermodynamic stability of Ru is illustrated for positive potentials E in the range of 0 ≤ pH ≤ 14 (blue lines) with the corresponding pH-dependent equilibrium potential for the water oxidation reaction (black dotted

Functional materials for environmental sensors and energy systems

• Michele Penza,
• Anita Lloyd Spetz,
• Albert Romano-Rodriguez and
• Meyya Meyyappan

Beilstein J. Nanotechnol. 2017, 8, 2015–2016, doi:10.3762/bjnano.8.201

• includes practical applications such as geo-tagged databases that are collected by networked, stationary or mobile smart devices to address new sensing concepts for air-quality monitoring as well as mapping techniques of gas molecules and particulate matter [3][4][5]. These solid-state chemical sensors

Needs and challenges for assessing the environmental impacts of engineered nanomaterials (ENMs)

• Michelle Romero-Franco,
• Hilary A. Godwin,
• Muhammad Bilal and
• Yoram Cohen

Beilstein J. Nanotechnol. 2017, 8, 989–1014, doi:10.3762/bjnano.8.101

• : definition of potential incidents (e.g., qualitative hazard analysis), evaluation of potential consequences of the incidents (e.g., via vapor dispersion modeling and fire and explosion effect modeling), estimation of the potential incident frequencies (e.g., via databases), estimation of the incident impacts

Modeling adsorption of brominated, chlorinated and mixed bromo/chloro-dibenzo-p-dioxins on C₆₀ fullerene using Nano-QSPR

• Piotr Urbaszek,
• Agnieszka Gajewicz,
• Celina Sikorska,
• Maciej Haranczyk and
• Tomasz Puzyn

Beilstein J. Nanotechnol. 2017, 8, 752–761, doi:10.3762/bjnano.8.78

• method with partially implemented experimental parameters from different databases. Since it is recognized as one of the best existing methods for showing weak interactions like Van der Waals forces and π–π interactions [53][54][55][56], it was applied in the presented study. The 6-31++G(d,p) basis set

Time-dependent growth of crystalline Au⁰-nanoparticles in cyanobacteria as self-reproducing bioreactors: 2. Anabaena cylindrica

• Liz M. Rösken,
• Felix Cappel,
• Susanne Körsten,
• Christian B. Fischer,
• Andreas Schönleber,
• Sander van Smaalen,
• Stefan Geimer,
• Christian Beresko,
• Georg Ankerhold and
• Stefan Wehner

Beilstein J. Nanotechnol. 2016, 7, 312–327, doi:10.3762/bjnano.7.30

• element specific characteristic peaks as listed in databases [55]. A quantitative elemental analysis using LIBS spectra is only known for bulk materials and liquids for trace element analysis [52][56][57], but up to now unknown for diluted nanoparticles in a matrix. The herein presented semi quantitative

Nanoinformatics for environmental health and biomedicine

• Rong Liu and
• Yoram Cohen

Beilstein J. Nanotechnol. 2015, 6, 2449–2451, doi:10.3762/bjnano.6.253

• the latest related developments/applications for environmental health and biomedicine. In this Thematic Series, recent advances in the development of databases are reported. These databases represent a collection of valuable data related to the physicochemical properties and bioactivity of

Application of biclustering of gene expression data and gene set enrichment analysis methods to identify potentially disease causing nanomaterials

• Andrew Williams and
• Sabina Halappanavar

Beilstein J. Nanotechnol. 2015, 6, 2438–2448, doi:10.3762/bjnano.6.252

• ], MAPPFinder [36], Onto-express [37] and others, which consist of controlled descriptions of gene functions that are frequently used to define gene sets. Other tools, such as pathway databases including Gene Ontology [38], KEGG [39], BioCyc [40], TfactS [41], CTD [42], and BioCarta (http://www.biocarta.com

Silica-coated upconversion lanthanide nanoparticles: The effect of crystal design on morphology, structure and optical properties

• Uliana Kostiv,
• Miroslav Šlouf,
• Hana Macková,
• Alexander Zhigunov,
• Hana Engstová,
• Katarína Smolková,
• Petr Ježek and
• Daniel Horák

Beilstein J. Nanotechnol. 2015, 6, 2290–2299, doi:10.3762/bjnano.6.235

• number and diameter of the particles, respectively. The ED patterns were processed with ProcessDiffraction software [29] and compared with the diffraction patterns of known NaYF4 crystal structures calculated with PowderCell software [30] or downloaded from crystallographic databases. The hydrodynamic

An ISA-TAB-Nano based data collection framework to support data-driven modelling of nanotoxicology

• Richard L. Marchese Robinson,
• Mark T. D. Cronin,
• Andrea-Nicole Richarz and
• Robert Rallo

Beilstein J. Nanotechnol. 2015, 6, 1978–1999, doi:10.3762/bjnano.6.202

• weaknesses of the resources are discussed along with possible future developments. Keywords: databases; ISA-TAB-Nano; nanoinformatics; nanotoxicology; quantitative structure–activity relationship (QSAR); Introduction Nanotechnology, which may be considered the design and application of engineered

• standardised, electronic format that facilitates meaningful exchange of information between different researchers, submission to (web-based) searchable databases, integration with other electronic data resources and analysis via appropriate (modelling) software [9][16][17][18]. This could entail directly

• populating files based on a standardised format or direct entry of data into searchable databases using a (web-based) data entry tool [19], followed via data export/exchange in a standardised format. However, in contrast to directly populating standardised, structured files (such as spreadsheets), direct

Predicting cytotoxicity of PAMAM dendrimers using molecular descriptors

• David E. Jones,
• Hamidreza Ghandehari and
• Julio C. Facelli

Beilstein J. Nanotechnol. 2015, 6, 1886–1896, doi:10.3762/bjnano.6.192

• viability of seven different cell lines [4]. Sayes and Ivanov used machine learning to predict the induced cellular membrane damage of immortalized human lung epithelial cells caused by metal oxide nanomaterials [5]. As discussed in a previous paper [6], there are a very limited number of databases

Framework for automatic information extraction from research papers on nanocrystal devices

• Thaer M. Dieb,
• Masaharu Yoshioka,
• Shinjiro Hara and
• Marcus C. Newton

Beilstein J. Nanotechnol. 2015, 6, 1872–1882, doi:10.3762/bjnano.6.190

• research papers containing experimental results have been published. Because it is a very time-consuming task to read through all related papers, several research efforts have been conducted in the nanoinformatics research domain. This includes the construction of databases for sharing the experimental

Nanocuration workflows: Establishing best practices for identifying, inputting, and sharing data to inform decisions on nanomaterials

• Christina M. Powers,
• Karmann A. Mills,
• Stephanie A. Morris,
• Fred Klaessig,
• Sharon Gaheen,
• Nastassja Lewinski and
• Christine Ogilvie Hendren

Beilstein J. Nanotechnol. 2015, 6, 1860–1871, doi:10.3762/bjnano.6.189

• information in journal articles with information from other sources (e.g., searching for the paper in other databases) (Figure 2), since this approach provides a valuable source of supplemental data (see Supporting Information File 1 for details). When using sources other than peer-reviewed articles

NanoE-Tox: New and in-depth database concerning ecotoxicity of nanomaterials

• Katre Juganson,
• Angela Ivask,
• Irina Blinova,
• Monika Mortimer and
• Anne Kahru

Beilstein J. Nanotechnol. 2015, 6, 1788–1804, doi:10.3762/bjnano.6.183

• ENMs to their physico-chemical properties and reveal the data gaps, the existing data have to be carefully collected and analysed. One increasingly popular approach in systematically collecting and organising available data on nanomaterials is creating databases. In 2012, Hristozov et al. emphasised

• that the available data on nanomaterials in environmental, health and safety databases and online chemical databases were very scarce [14]. Recently, a databases working group was established in the framework of European Union NanoSafety Cluster [15] which highlights the importance of development of in

• -depth databases on ENMs. In addition, nanotoxicity-related databases are developed and supported at national level in EU. For instance, in Germany an application-based nanomaterial database, which includes information on potential toxicological effects of ENMs, has been created in the DaNa project [16