Microplastic pollution in Himalayan lakes: assessment, risks, and sustainable remediation strategies

• Sameeksha Rawat,
• S. M. Tauseef and
• Madhuben Sharma

Beilstein J. Nanotechnol. 2025, 16, 2144–2167, doi:10.3762/bjnano.16.148

• been accepted as highly effective to trace the origins of MPs and compositions [131]. Public engagement in monitoring programs, such as citizen science initiatives, plays a crucial role in data collection and raising awareness [132]. Regulatory systems play a key part in managing MPs pollution. Bans of

• research gaps regarding fate, impact, and mitigation of MPs. One such challenge is the absence of a standardized monitoring system, which causes variability in data collection between studies. More advanced spectroscopic and AI-based detection systems need to be investigated for enhanced accuracy and

Nanotechnology-based approaches for the removal of microplastics from wastewater: a comprehensive review

• Nayanathara O Sanjeev,
• Manjunath Singanodi Vallabha and
• Rebekah Rubidha Lisha Rabi

Beilstein J. Nanotechnol. 2025, 16, 1607–1632, doi:10.3762/bjnano.16.114

• systems represent a futuristic and highly adaptable approach to addressing micro/nanoplastic contamination [127]. In general, the future of MP detection depends on developing, with the help of AI, a standardized framework that integrates all stages, starting from data collection, to the analysis and risk

The role of biochar in combating microplastic pollution: a bibliometric analysis in environmental contexts

• Tuan Minh Truong Dang,
• Thao Thu Thi Huynh,
• Guo-Ping Chang-Chien and
• Ha Manh Bui

Beilstein J. Nanotechnol. 2025, 16, 1401–1416, doi:10.3762/bjnano.16.102

• provide critical insights into the current state and future directions of biochar's application in addressing MP pollution. Review Research methodology and analytical framework Data collection and processing The study employed bibliometric analysis using CiteSpace to examine publication trends and

• evolution of research fields [27]. Bibliometric data were collected from the “Web of Science” (WOS) database to ensure comprehensive coverage and avoid the omission of relevant articles indexed in only one source. The data collection spanned January 2017 to December 2024, with the search process initiated

Automated collection and categorisation of STM images and STS spectra with and without machine learning

• Dylan Stewart Barker and
• Adam Sweetman

Beilstein J. Nanotechnol. 2025, 16, 1367–1379, doi:10.3762/bjnano.16.99

• extremely time-consuming. However, with the entire process being automated, this can be carried out very simply, and without any need for constant monitoring. We note that while we collected data using both types of tip in order to highlight the differences in quality, in a real use case data collection

• different adsorbate/substrate systems without the need for extensive data collection to train ML models. This methodology can aid in the rapid characterisation of new materials via automated probing of different features in a system, taking numerous measurements over different areas, only requiring an

Towards a quantitative theory for transmission X-ray microscopy

• James G. McNally,
• Christoph Pratsch,
• Stephan Werner,
• Stefan Rehbein,
• Andrew Gibbs,
• Jihao Wang,
• Thomas Lunkenbein,
• Peter Guttmann and
• Gerd Schneider

Beilstein J. Nanotechnol. 2025, 16, 1113–1128, doi:10.3762/bjnano.16.82

• reproducibility of the image data, we initially collected nine different 3D datasets under similar imaging conditions, but under different adjustments of the beamline due to fluctuations of the beam. The detailed data collection and pre-processing workflow is summarized in the Experimental section, and includes

Characterization of ion track-etched conical nanopores in thermal and PECVD SiO₂ using small angle X-ray scattering

• Shankar Dutt,
• Rudradeep Chakraborty,
• Christian Notthoff,
• Pablo Mota-Santiago,
• Christina Trautmann and
• Patrick Kluth

Beilstein J. Nanotechnol. 2025, 16, 899–909, doi:10.3762/bjnano.16.68

• as is, and the Si substrate was not removed before SAXS measurements. The sample-to-detector distances ranged between 7.2 and 7.6 m. Data collection was performed using Pilatus 1M and Pilatus 2M detectors during different measurement cycles. A silver behenate (AgBeh) standard was used to calibrate

Quantification of lead through rod-shaped silver-doped zinc oxide nanoparticles using an electrochemical approach

• Ravinder Lamba,
• Gaurav Bhanjana,
• Neeraj Dilbaghi,
• Vivek Gupta and
• Sandeep Kumar

Beilstein J. Nanotechnol. 2025, 16, 422–434, doi:10.3762/bjnano.16.33

• lead sensor had a high sensitivity of 16 µA·ppm−1·cm−2, along with a detection limit of 3 ppm. Additionally, it demonstrated a response time of less than 2 s. This sensor is most suitable for applications that necessitate cost-effectiveness, rapid readings, and data collection in the field or at the

Development of a mucoadhesive drug delivery system and its interaction with gastric cells

• Ahmet Baki Sahin,
• Serdar Karakurt and
• Deniz Sezlev Bilecen

Beilstein J. Nanotechnol. 2025, 16, 371–384, doi:10.3762/bjnano.16.28

• . Acknowledgements The authors acknowledge Konya Food and Agriculture University for the use of the laboratory facilities. The authors also acknowledge Evonik Industries for providing the Eudragit RS30D polymer. The authors also acknowledge Ayça Eroğlu for her contributions on data collection and assistance with

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

• approach and the tool are highlighted. Keywords: data collection and quality control; data provenance; experimental workflow visualisation; FAIR; nanomaterial life cycle stages; study design; Introduction The manipulation of matter at the nanoscale and the emergence of nanoscale materials, whose

• be linked to the corresponding resources documenting the steps in the form of text documents, protocol repository entries, or ELN pages. For data produced in the study, a strong linkage between protocols and data using a workflow with stages for sample preparation, measurement, raw data (collection

• , instance maps visualise the flow of data collection and methodologies, including the biological culture information and chemical pre- and post-exposure data (Figure 4A). The instances in the example in Figure 4 follow the timeline of exposure; at each instance, the nodes depict the data pertaining to that

Natural nanofibers embedded in the seed mucilage envelope: composite hydrogels with specific adhesive and frictional properties

• Agnieszka Kreitschitz and
• Stanislav N. Gorb

Beilstein J. Nanotechnol. 2024, 15, 1603–1618, doi:10.3762/bjnano.15.126

• program under the Marie Skłodowska-Curie grant No 702293 – MuCellWall to A.K., and the grant GO 995/43-1 from German Science Foundation (DFG) to S.N.G. The funders did not take part in study design, data collection and analysis, decision of publishing, or any preparation of the manuscript.

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

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

• on testing all possible combinations. Detailed information processing workflow of the IFPTML models. Steps 2.1 and 2.2: data collection (ChEMBL dataset of NDDs and NP cytotoxicity dataset); step 2.3: data pre-processing and information fusion (NP and NDD assays); step 2.4: definition of objective and

Photocatalytic degradation of methylene blue under visible light by cobalt ferrite nanoparticles/graphene quantum dots

• Vo Chau Ngoc Anh,
• Le Thi Thanh Nhi,
• Le Thi Kim Dung,
• Dang Thi Ngoc Hoa,
• Nguyen Truong Son,
• Nguyen Thi Thao Uyen,
• Nguyen Ngoc Uyen Thu,
• Le Van Thanh Son,
• Le Trung Hieu,
• Tran Ngoc Tuyen and
• Dinh Quang Khieu

Beilstein J. Nanotechnol. 2024, 15, 475–489, doi:10.3762/bjnano.15.43

• Interests The authors have no relevant financial or non-financial interests to disclose. Author Contributions All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by V.C.N.A., L.T.T.N., L.T.K.D., D.T.N.H., N.T.S., N.T.T.U., N.N.U.T

Development and characterization of potential larvicidal nanoemulsions against Aedes aegypti

• Jonatas L. Duarte,
• Leonardo Delello Di Filippo,
• Anna Eliza Maciel de Faria Mota Oliveira,
• Rafael Miguel Sábio,
• Gabriel Davi Marena,
• Tais Maria Bauab,
• Cristiane Duque,
• Vincent Corbel and
• Marlus Chorilli

Beilstein J. Nanotechnol. 2024, 15, 104–114, doi:10.3762/bjnano.15.10

• (REA). Neither the European Union nor the REA can be held responsible for them. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Growing up in a rough world: scaling of frictional adhesion and morphology of the Tokay gecko (Gekko gecko)

• Anthony J. Cobos and
• Timothy E. Higham

Beilstein J. Nanotechnol. 2022, 13, 1292–1302, doi:10.3762/bjnano.13.107

• : Morphology data. Acknowledgements We thank E. R. Naylor for help with experimental design and data collection, and the Higham Lab members for help with animal care. We thank R. E. Espinoza and L. L. Grismer for their help obtaining live and preserved specimens used in this study. We thank the Central

Polarity in cuticular ridge development and insect attachment on leaf surfaces of Schismatoglottis calyptrata (Araceae)

• Venkata A. Surapaneni,
• Tobias Aust,
• Thomas Speck and
• Marc Thielen

Beilstein J. Nanotechnol. 2021, 12, 1326–1338, doi:10.3762/bjnano.12.98

• program. T.S. and V.A.S. acknowledge additional funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy – EXC-2193/1 – 390951807. Author Contributions M.T. and T.S. designed and supervised the study. Data collection, data assessment, and

Nanogenerator-based self-powered sensors for data collection

• Yicheng Shao,
• Maoliang Shen,
• Yuankai Zhou,
• Xin Cui,
• Lijie Li and
• Yan Zhang

Beilstein J. Nanotechnol. 2021, 12, 680–693, doi:10.3762/bjnano.12.54

• . Keywords: data collection; Internet of Things; nanogenerator; self-powered sensor; wearable device; Introduction Self-powered sensor systems can harvest and convert environmental energy to electricity, which enables sensor operation without external power source [1][2]. Nanogenerators (NGs) can

• effectively harvest energy various low-frequency mechanical motions from the environment. NG-based self-powered sensors act as data collection units for traffic [3][4][5][6][7][8][9][10][11], meteorological environment [12][13][14][15][16][17][18][19][20][21], human movement [22][23][24][25][26][27], viscera

• -powered sensors in data-driven intelligent systems are proposed. Review Human physiological data collection based on self-powered sensors Self-powered wearable sensors and electronic skin Self-powered wearable sensors to collect human motion data can provide a data set for medical diagnosis and

Selective detection of complex gas mixtures using point contacts: concept, method and tools

• Alexander P. Pospelov,
• Victor I. Belan,
• Dmytro O. Harbuz,
• Volodymyr L. Vakula,
• Lyudmila V. Kamarchuk,
• Yuliya V. Volkova and
• Gennadii V. Kamarchuk

Beilstein J. Nanotechnol. 2020, 11, 1631–1643, doi:10.3762/bjnano.11.146

• quantum properties of objects and the usage of quantum tools and methods provide new unlimited opportunities for the development of technologies based on the principles of data collection and analysis of energy. Earlier, we proposed to use the information about energy processes occurring in the breath for

Electrokinetic characterization of synthetic protein nanoparticles

• Daniel F. Quevedo,
• Cody J. Lentz,
• Adriana Coll de Peña,
• Yazmin Hernandez,
• Nahal Habibi,
• Rikako Miki,
• Joerg Lahann and
• Blanca H. Lapizco-Encinas

Beilstein J. Nanotechnol. 2020, 11, 1556–1567, doi:10.3762/bjnano.11.138

• a device for further data collection and analysis [19]. Both AC and DC electric potentials can be used to exploit differences in specific biological particle properties, such as electrical charge, size, shape, and polarizability [20][21]. An important fraction of miniaturized EK devices employ a

Mechanism of silica–lysozyme composite formation unravelled by in situ fast SAXS

• Tomasz M. Stawski,
• Daniela B. van den Heuvel,
• Rogier Besselink,
• Dominique J. Tobler and
• Liane G. Benning

Beilstein J. Nanotechnol. 2019, 10, 182–197, doi:10.3762/bjnano.10.17

• backgrounds and reference samples including an empty capillary and a capillary filled with water, silica stock solution, LZM solutions at different concentrations. The initial SAXS data processing and reduction included a series of automatic post-data-collection steps including masking of undesired pixels

Accurate control of the covalent functionalization of single-walled carbon nanotubes for the electro-enzymatically controlled oxidation of biomolecules

• Naoual Allali,
• Veronika Urbanova,
• Mathieu Etienne,
• Xavier Devaux,
• Martine Mallet,
• Brigitte Vigolo,
• Jean-Joseph Adjizian,
• Chris P. Ewels,
• Sven Oberg,
• Alexander V. Soldatov,
• Edward McRae,
• Yves Fort,
• Manuel Dossot and
• Victor Mamane

Beilstein J. Nanotechnol. 2018, 9, 2750–2762, doi:10.3762/bjnano.9.257

• electrochemical data. Supporting Information File 164: Additional experimental data. Acknowledgements This work has been supported by the French National Research Agency (ANR), project ANR-10-BLAN-0819-01-SPRINT. Aurélien Renard is acknowledged for XPS data collection. We thank Maxime Noël for help in acquiring

Optimization of Mo/Cr bilayer back contacts for thin-film solar cells

• Nima Khoshsirat,
• Fawad Ali,
• Vincent Tiing Tiong,
• Mojtaba Amjadipour,
• Hongxia Wang,
• Mahnaz Shafiei and
• Nunzio Motta

Beilstein J. Nanotechnol. 2018, 9, 2700–2707, doi:10.3762/bjnano.9.252

• source operating in parallel beam mode with a Hypix 3000 detector (0D mode). The incidence angle (α) was fixed to 1° during data collection. The incident optics were a 5° Soller slit, 10 mm incident slit and a 0.137 mm divergence slit. Receiving optics were a 0.114° collimator and 20 mm receiving slits

Scanning speed phenomenon in contact-resonance atomic force microscopy

• Christopher C. Glover,
• Jason P. Killgore and
• Ryan C. Tung

Beilstein J. Nanotechnol. 2018, 9, 945–952, doi:10.3762/bjnano.9.87

• , we have controlled for the effect of tip wear by rigorously pre-wearing the AFM tip and randomizing the order of data collection. Tip wear can significantly alter the geometry of a new AFM tip and thus the measured CR frequency. These wear effects must be accurately accounted for. It is well-known

Fluorination of vertically aligned carbon nanotubes: from CF₄ plasma chemistry to surface functionalization

• Claudia Struzzi,
• Mattia Scardamaglia,
• Jean-François Colomer,
• Alberto Verdini,
• Luca Floreano,
• Rony Snyders and
• Carla Bittencourt

Beilstein J. Nanotechnol. 2017, 8, 1723–1733, doi:10.3762/bjnano.8.173

• calculated by XPS. The experimental geometry of the data collection allows the analysis of the tip of the vCNT, this region of the sample is denoted as the surface. The chemical composition is studied using a VERSAPROBE PHI 5000 from Physical Electronics, equipped with a monochromatic Al Kα X-ray source. The

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