Zeolite materials with Ni and Co: synthesis and catalytic potential in the selective hydrogenation of citral

• Inocente Rodríguez-Iznaga,
• Yailen Costa Marrero,
• Tania Farias Piñeira,
• Céline Fontaine,
• Lexane Paget,
• Beatriz Concepción Rosabal,
• Arbelio Penton Madrigal,
• Vitalii Petranovskii and
• Gwendoline Lafaye

Beilstein J. Nanotechnol. 2025, 16, 520–529, doi:10.3762/bjnano.16.40

• associated with isolated cations or those formed during the hydrogenation process. This work highlights the potential of bimetallic CoNiZIE materials as efficient catalysts for selective hydrogenation reactions, paving the way for further optimization and exploration of similar catalytic systems

Water in nanoporous hexagonal boron nitride nanosheets: a first-principles study

• Juliana A. Gonçalves,
• Ronaldo J. C. Batista and
• Marcia C. Barbosa

Beilstein J. Nanotechnol. 2025, 16, 510–519, doi:10.3762/bjnano.16.39

• pores that were initially analyzed in this work. The rhombic and triangular pores were passivated with hydrogen atoms, as shown in Figure 2a,b and Figure 3a–d. After optimization, wrinkles were observed in both the rhombic and triangular porous structures, which were not observed in deposited pores [34

• hydrogen atoms directed away from the monolayer (Figure 4d). For each orientation, the water molecule was initially positioned at the geometrical center of the pore, at distances of 1.0, 1.5, 2.0, and 2.5 Å above the h-BN monolayer, as shown in Figure 4. After geometry optimization, we observed that in

• adsorption energies calculated using the PBE functional are more sensitive to the initial height of the water molecule. For the fourth initial configuration (Figure 4d), the optimization resulted in a final configuration where the oxygen atom is close to the B–H-terminated edge and the hydrogen atoms of the

N₂⁺-implantation-induced tailoring of structural, morphological, optical, and electrical characteristics of sputtered molybdenum thin films

• Usha Rani,
• Kafi Devi,
• Divya Gupta and
• Sanjeev Aggarwal

Beilstein J. Nanotechnol. 2025, 16, 495–509, doi:10.3762/bjnano.16.38

• thickness and investigating the effects of these factors on the characteristics of molybdenum thin films. This study promotes the development of next-generation Mo thin films with precisely tuned characteristics. The findings of this research contribute to the optimization and development of Mo thin films

Performance optimization of a microwave-coupled plasma-based ultralow-energy ECR ion source for silicon nanostructuring

• Joy Mukherjee,
• Safiul Alam Mollick,
• Tanmoy Basu and
• Tapobrata Som

Beilstein J. Nanotechnol. 2025, 16, 484–494, doi:10.3762/bjnano.16.37

• Centers for Research and Education in Science and Technology, Kolkata, West Bengal, 700 091, India Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai - 400 085, India 10.3762/bjnano.16.37 Abstract This paper presents a comprehensive optimization of key parameters for

• the transformative impact of nanopatterning through low-energy inert ions. Keywords: optimization of ion current; surface topography; TEM; ultralow-energy ECR-based ion source; UV–vis spectroscopy; Introduction Ion sources serve as fundamental components in numerous scientific and industrial

• context of optimization of inert Ar-ion beam and subsequent ion-induced silicon nanopatterning. The TEM used for this work is a FEI Tecnai G2 12 Twin model, which operates at a voltage range of 20–120 kV. It employs a LaB6 emitter as the electron source and offers a line resolution of 0.2 nm with a

Effect of additives on the synthesis efficiency of nanoparticles by laser-induced reduction

• Rikuto Kuroda,
• Takahiro Nakamura,
• Hideki Ina and
• Shuhei Shibata

Beilstein J. Nanotechnol. 2025, 16, 464–472, doi:10.3762/bjnano.16.35

• trap oxidizing species such as hydroxyl radicals since it has more reaction points than monovalent alcohols. When considering industrial applications, optimization using additives is essential not only in terms of the efficiency of nanoparticle synthesis but also cost, by-products, and solvent

Engineered PEG–PCL nanoparticles enable sensitive and selective detection of sodium dodecyl sulfate: a qualitative and quantitative analysis

• Soni Prajapati and
• Ranjana Singh

Beilstein J. Nanotechnol. 2025, 16, 385–396, doi:10.3762/bjnano.16.29

• nanoparticles was placed over the diamond point, and the spectra were recorded in the 3900–550 cm−1 range. Optimization of PEG–PCL nanoparticles The concentration and volume of PEG–PCL NPs were optimized using Bradford reagent to obtain maximum absorbance. PEG–PCL NPs (10 mg/mL) were added to the Bradford

• interactions. Previous studies confirmed that PEG contains hydroxyl groups (–OH) that can form hydrogen bonds with the PCL carbonyl groups (C=O). These hydrogen bonds help stabilize the nanocomposite structure and improve its mechanical properties [33]. Optimization of PEG–PCL nanoparticle concentration The

• method. Physicochemical characterization of PEG–PCL nanoparticles: a) hydrodynamic radius and PDI, b) zeta potential, c) SEM, d) TEM, and e) XPS analysis. FTIR spectrum of PEG–PCL nanoparticles showing functional group interaction between parent compounds (PEG and PCL). Optimization of PEG–PCL

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

• other parameter of crucial importance when considering the efficiency of a drug delivery system. Therefore, further optimization studies may be required to improve the encapsulation efficiency of the nanoparticles, if the therapeutic agent to be used requires higher loading values to be effective

Enhancing mechanical properties of chitosan/PVA electrospun nanofibers: a comprehensive review

• Nur Areisman Mohd Salleh,
• Amalina Muhammad Afifi,
• Fathiah Mohamed Zuki and
• Hanna Sofia SalehHudin

Beilstein J. Nanotechnol. 2025, 16, 286–307, doi:10.3762/bjnano.16.22

• electrospun nanofibers, aiding in the optimization of their performance for various applications. Strategies for mechanical improvement There are various methods to improve the mechanical properties of electrospun nanofibers. These methods can generally be divided into two categories, namely, material

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

Comparison of organic and inorganic hole transport layers in double perovskite material-based solar cell

• Deepika K and
• Arjun Singh

Beilstein J. Nanotechnol. 2025, 16, 119–127, doi:10.3762/bjnano.16.11

• -based PSCs as a promising photovoltaic material. The double perovskite layer is a remarkable choice as active layer because of intrinsic carrier stability, low exciton binding energy, and low toxicity. Herein, the optimization of a planar DPSC with a multifunctional double perovskite absorber layer

• with the literature-based device. The maximum efficiency reported was 27.84% after optimization for Cu2O. The SCAPS-1D model is a useful tool to simulate how perovskite solar cells work. However, it has some drawbacks we need to keep in mind when we look at the results. One big issue is that it assumes

• , and (c) planar n-i-p device structure of DPSC. Optimization of the absorber layer with (a) Cu2O and (b) PEDOT:PSS. Optimization of device temperature with (a) Cu2O and (b) PEDOT:PSS. Optimization of total defect density of absorber layer with (a) Cu2O and (b) PEDOT:PSS. (a) Literature-based device

Theoretical study of the electronic and optical properties of a composite formed by the zeolite NaA and a magnetite cluster

• Joel Antúnez-García,
• Roberto Núñez-González,
• Vitalii Petranovskii,
• H’Linh Hmok,
• Armando Reyes-Serrato,
• Fabian N. Murrieta-Rico,
• Mufei Xiao and
• Jonathan Zamora

Beilstein J. Nanotechnol. 2025, 16, 44–53, doi:10.3762/bjnano.16.5

• . In essence, we compared the energy difference (after optimization) between housing the cluster in the α-cage and the β-cage (see [54][57] for cage identification). The results demonstrated that housing the cluster in the α-cage is energetically more favorable (Figure 2). This choice defined the

Precursor sticking coefficient determination from indented deposits fabricated by electron beam induced deposition

• Alexander Kuprava and
• Michael Huth

Beilstein J. Nanotechnol. 2025, 16, 35–43, doi:10.3762/bjnano.16.4

• is needed and can be obtained based on a simulation of the FEBID process using the so-called continuum model that can be of great assistance for the nanofabrication process optimization [2][3]. Here again, sufficiently accurate knowledge of the values for the model-dependent set of precursor

Orientation-dependent photonic bandgaps in gold-dust weevil scales and their titania bioreplicates

• Norma Salvadores Farran,
• Limin Wang,
• Primoz Pirih and
• Bodo D. Wilts

Beilstein J. Nanotechnol. 2025, 16, 1–10, doi:10.3762/bjnano.16.1

• of 1.55 to 2.00. The study suggests that the effective refractive index of titania in the 3D lattice is similar to that in sol–gel films. The study demonstrates the potential of replicating complex biophotonic structures using the sol–gel technique. Optimization of the sol–gel process could lead to

Mechanistic insights into endosomal escape by sodium oleate-modified liposomes

• Ebrahim Sadaqa,
• Satrialdi,
• Fransiska Kurniawan and
• Diky Mudhakir

Beilstein J. Nanotechnol. 2024, 15, 1667–1685, doi:10.3762/bjnano.15.131

Heterogeneous reactions in a HFCVD reactor: simulation using a 2D model

• Xochitl Aleyda Morán Martínez,
• José Alberto Luna López,
• Zaira Jocelyn Hernández Simón,
• Gabriel Omar Mendoza Conde,
• José Álvaro David Hernández de Luz and
• Godofredo García Salgado

Beilstein J. Nanotechnol. 2024, 15, 1627–1638, doi:10.3762/bjnano.15.128

• [11]. The basic steps of the general CVD process are classified and described in [12]. The optimization of this technique improves the properties of the films; however, the complexity of the CVD processes makes it difficult to understand clearly the different mechanisms involved in such optimization

Facile synthesis of size-tunable L-carnosine-capped silver nanoparticles and their role in metal ion sensing and catalytic degradation of p-nitrophenol

• Akash Kumar,
• Ridhima Chadha,
• Abhishek Das,
• Nandita Maiti and
• Rayavarapu Raja Gopal

Beilstein J. Nanotechnol. 2024, 15, 1576–1592, doi:10.3762/bjnano.15.124

• -car-AgNPs for both heavy metal ion detection and catalytic degradation of P-NP, indicating their suitability for environmental monitoring and remediation applications. Further optimization and research are needed to expand their environmental applications and to understand their interaction mechanisms

• -carnosine and ʟ-car-AgNPs and 100 s for ʟ-carnosine in aqueous solution. DFT calculations Theoretical insights into the FTIR and Raman measurements were obtained through molecular structure optimization of ʟ-carnosine, its anionic form, and probable ʟ-carnosine–(Ag)4 complexes. The structure optimization

• atoms. Calculations were executed using Gaussian 09, Revision A.02 software [23]. The optimization process was conducted without symmetry restrictions. The convergence criteria were an energy change of less than 1.0 × 10−6 Hartree and a gradient of less than 3.0 × 10−4 atomic units. The vibrational

The round-robin approach applied to nanoinformatics: consensus prediction of nanomaterials zeta potential

• Dimitra-Danai Varsou,
• Arkaprava Banerjee,
• Joyita Roy,
• Kunal Roy,
• Giannis Savvas,
• Haralambos Sarimveis,
• Ewelina Wyrzykowska,
• Mateusz Balicki,
• Tomasz Puzyn,
• Georgia Melagraki,
• Iseult Lynch and
• Antreas Afantitis

Beilstein J. Nanotechnol. 2024, 15, 1536–1553, doi:10.3762/bjnano.15.121

• different algorithms for computing similarity, that is, Euclidean distance-based, Gaussian kernel similarity-based and Laplacian kernel similarity-based. The selection of the best similarity measure and the optimization of the associated hyperparameters were performed by dividing the training set into

• descriptors using the tool RASAR-Desc-Calc-v3.0.2 (https://sites.google.com/jadavpuruniversity.in/dtc-lab-software/home#h.x3k58bv4frb9) after optimization of the associated read-across-based hyperparameters [67][68]. Model development and validation The model development was performed following the basic

• calibration and validation sets were obtained by the division of the training compounds). This read-across hyperparameter optimization was done using the tool Auto_RA_Optimizer-v1.0, freely available from the DTC Lab tools supplementary site (https://sites.google.com/jadavpuruniversity.in/dtc-lab-software

Electrochemical nanostructured CuBTC/FeBTC MOF composite sensor for enrofloxacin detection

• Thi Kim Ngan Nguyen,
• Tien Dat Doan,
• Huy Hieu Luu,
• Hoang Anh Nguyen,
• Thi Thu Ha Vu,
• Quang Hai Tran,
• Ha Tran Nguyen,
• Thanh Binh Dang,
• Thi Hai Yen Pham and
• Mai Ha Hoang

Beilstein J. Nanotechnol. 2024, 15, 1522–1535, doi:10.3762/bjnano.15.120

• K2HPO4 in double-distilled water. The pH of the solution used for the optimization of electrolyte solution was changed from 6.0 to 9.0 by controlling the amount of these phosphate salts. Enrofloxacin stock solution was prepared by dissolving ENR powder in double-distilled water. The ENR solutions with

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

• unprecedented advancements in the design, characterization, and optimization of materials. By leveraging computational modelling and simulation, researchers can simulate and predict properties and behavior of materials with remarkable accuracy, explore a vast design space, and predict the properties and

• technologies and advanced algorithms, researchers can automate different aspects of the materials modelling process, from data generation to model selection and parameter optimization [7][40][41]. Furthermore, automation enables the integration of experimental data with computational models, facilitating the

• calibration and validation of models and providing a more comprehensive understanding of materials behavior [10]. The automation of various modelling tasks, such as data preprocessing, model generation, and parameter optimization, through the use of advanced algorithms and software tools, streamlines

Polymer lipid hybrid nanoparticles for phytochemical delivery: challenges, progress, and future prospects

• Iqra Rahat,
• Pooja Yadav,
• Aditi Singhal,
• Mohammad Fareed,
• Jaganathan Raja Purushothaman,
• Mohammed Aslam,
• Raju Balaji,
• Sonali Patil-Shinde and
• Md. Rizwanullah

Beilstein J. Nanotechnol. 2024, 15, 1473–1497, doi:10.3762/bjnano.15.118

Nanotechnological approaches for efficient N2B delivery: from small-molecule drugs to biopharmaceuticals

• Selin Akpinar Adscheid,
• Akif E. Türeli,
• Nazende Günday-Türeli and
• Marc Schneider

Beilstein J. Nanotechnol. 2024, 15, 1400–1414, doi:10.3762/bjnano.15.113

• administration. The optimization process yielded optimized NLCs with a particle size of 178 nm of and an entrapment efficiency of 77%. The in vivo pharmacokinetic study showed that intranasal administration of the optimized NLC formulation led to significantly faster drug absorption and greater clozapine

Investigation of Hf/Ti bilayers for the development of transition-edge sensor microcalorimeters

• Victoria Y. Safonova,
• Anna V. Gordeeva,
• Anton V. Blagodatkin,
• Dmitry A. Pimanov,
• Anton A. Yablokov and
• Andrey L. Pankratov

Beilstein J. Nanotechnol. 2024, 15, 1353–1361, doi:10.3762/bjnano.15.108

• with smooth and even edges during the manufacturing of TES. The presented measurements are necessary for calculating the sensitivity of future devices and their optimization. In the last section, we evaluate the energy resolution of TES and show that the measured Hf/Ti bilayers, because of the narrow

Hymenoptera and biomimetic surfaces: insights and innovations

• Vinicius Marques Lopez,
• Carlo Polidori and
• Rhainer Guillermo Ferreira

Beilstein J. Nanotechnol. 2024, 15, 1333–1352, doi:10.3762/bjnano.15.107

• for such trait is still unknown, the fact that another order, the Diptera, also including mostly quick-flying insects, show the same pattern, may suggest a relationship with optimization of flight behavior. Evidence on structures and functions of some of these non-sensory hairs in ants and bees

Mn-doped ZnO nanopowders prepared by sol–gel and microwave-assisted sol–gel methods and their photocatalytic properties

• Cristina Maria Vlăduț,
• Crina Anastasescu,
• Silviu Preda,
• Oana Catalina Mocioiu,
• Simona Petrescu,
• Jeanina Pandele-Cusu,
• Dana Culita,
• Veronica Bratan,
• Ioan Balint and
• Maria Zaharescu

Beilstein J. Nanotechnol. 2024, 15, 1283–1296, doi:10.3762/bjnano.15.104

• toxic, and light-responsive. Up to now, advanced oxidation processes (AOPs) were used for the cleaning of waste water. Although AOPs based on engineered materials were performed in conjunction with biological treatments, the need for optimization still remains. Many photoactive semiconductors were

Enhanced catalytic reduction through in situ synthesized gold nanoparticles embedded in glucosamine/alginate nanocomposites

• Chi-Hien Dang,
• Le-Kim-Thuy Nguyen,
• Minh-Trong Tran,
• Van-Dung Le,
• Nguyen Minh Ty,
• T. Ngoc Han Pham,
• Hieu Vu-Quang,
• Tran Thi Kim Chi,
• Tran Thi Huong Giang,
• Nguyen Thi Thanh Tu and
• Thanh-Danh Nguyen

Beilstein J. Nanotechnol. 2024, 15, 1227–1237, doi:10.3762/bjnano.15.99

• attachment of nanoparticles to form larger aggregates, followed by coalescence [32][33]. Additionally, the morphology of AuNPs changes significantly at higher temperatures, as evidenced by a reduction in the λmax values. The optimization of reaction time was carried out within a range of 0 to 140 min. Figure