Advanced Sensor Research最新文献

Responsive hydrogels adhered to microfabricated electrodes find applicability as chemical or biological sensors and in electro-stimulated drug delivery. A well-defined method of cleaning, surface modification, and surface functionalization of microlithographically-fabricated biochips composed of heterogeneous, abio surfaces (gold and glass) is presented for the reproducible adhesion of responsive hydrogels. The method uses cleaning approaches adapted from the semiconductor electronics industry and combines these with reactive organosilane chemistry to achieve the specific (covalent) attachment of UV cross-linked, poly(HEMA-co-PEGMA-co-HMMA)-based hydrogels. Specific attachment of hydrogels via acryloyl-poly(ethylene glycol)-3500 n-hydroxysuccinimide (APNHS)-functionalized surfaces and subsequent hydrogel hydration resulted in the strongest adhesive force as determined by centrifugal adhesion testing. Comparison with substrates functionalized via hydroxyl-poly(ethylene glycol)-3500 n-hydroxysuccinimide (PNHS) confirmed the superiority of adhesion involving covalent bonding (APNHS) (4.48 kPa) versus hydrogen bonding (PNHS) (1.29 kPa). Adhered, fully hydrated and dehydrated hydrogels are characterized by Electrochemical Impedance Spectroscopy (EIS) and their hydration kinetics determined using impedimetry at a rationalized frequency. Impedimetry confirmed that p(HEMA-co-PEGMA-co-HMMA) hydrogels have an equilibration time of ≈30 min, a diffusion-dependent rate coefficient k₁ = 0.311 s^−0.5 and relaxation-dependent coefficient k₂ = −0.022 s⁻¹. Hydrogel swelling may be studied by impedimetry to fashion biomedical devices for co-joined, real-time biosensing with electro-stimulated drug delivery.

This contribution summarizes the current state of research regarding so-called sensor-integrating machine elements as an enabler of digitalization in mechanical engineering and——if available—their application in industry. The focus is on the methodical aspects of the development of these machine elements in general as well as specific sensor-integrating machine elements that are either already in use or currently under development. Developmental aspects include the robust design of initially evaluated concepts for sensor-integrating machine elements as well as their modularization. Smart materials with sensory functions are included in the analysis as well as the differentiation with regard to add-on sensors. The aim of the authors interlinked by a special research program funded by the German Research Foundation (DFG) is to facilitate the exchange with other researchers with the help of the comprehensive overview given in this contribution. The contribution concludes with a brief discussion of open challenges, such as the energy supply and data transfer in rotating systems and also data security.

Microneedles (MNs) have emerged as a promising solution for drug delivery and extraction of body fluids. Pain is an important physiological attribute to be examined when designing MNs. There is no known representation of pain with geometric features of a MN despite the focus on experimental work. This study focuses on optimizing MN designs with the aim of minimizing pain through means of machine learning, finite element analysis, and optimization tools. Three distinct approaches are proposed. The first approach involves training multiple regression models on data obtained through finite element analysis in COMSOL. The second approach uses COMSOL's built-in nonlinear optimization solver. Finally, the third approach utilizes the LiveLink interface between COMSOL and MATLAB, combined with Bayesian optimization. Each approach presents unique strengths and challenges, with the third approach demonstrating significant promise due to its efficiency, practicality, and time-saving.

An optical thermometry method using a diamond sample containing dual defects, i.e., both Nitrogen Vacancy (NV) and Silicon Vacancy (SiV) centers, has been developed. The method developed by Zhiqin Chu and co-workers in article 2300103 improves the measurement confidence and allows a synchronized cross-validation of the measured temperature, which is required for complicated environments such as living cells.

In article 2300105, Thanh Nho Do, Mai Thanh Thai and co-workers introduce a teleoperated endoscopic surgical system with an integrated 3D force sensor and real-time soft haptic glove. User subjects rank the new system as highly wearable, comfortable, and effective, demonstrating that this new approach will bridge a gap in the surgical field and support the future development of advanced teleoperated systems.

The cover feature of Advanced Sensor Research highlights Swagato Sarkar and Tobias A. F. König's pioneering work on plasmon-photon hybridization for improved sensing efficiency with minimal material usage. Their review article 2300054 shows scalable nanostructures that combine photonic diffraction with plasmonic modes, enabling a breakthrough in sensitivity and selectivity for (bio)analyte detection. This innovative approach, which promises exceptionally high performance, represents a significant advance in sensor technology. We want to acknowledge the support of Anik Kumar Ghosh for the cover image.

Welcome to the second editorial of our newly launched journal. We still use the term “new” even though it has been 13 months since the first issue of Advanced Sensor Research was published in December 2022; nevertheless, despite being one of the youngest members of our Advanced brand family, remarkable results have been achieved in 2023. We are proud to have published 12 issues and more than 110 articles, including 48 reviews and 1 perspective, covering top research on all aspects of sensing.

We would like to take this opportunity to highlight a few of the many wonderful articles published so far. Although many contributions would deserve to be mentioned, the lack of space allows usto summarize here only the most accessed articles throughout the year 2023, starting with the most frequently accessed review articles (Table 1).

The first article by C. Lee et al. addresses a very timely topic and provides an overview of the recent advances in the development of artificial intelligence sensors and their great potential in critical applications such as smart buildings, individual healthcare, Internet of things, etc. (adsr.202200072). W.-H. Yeo group explains the working principles of electrochemical biosensors for detecting biomarkers in different biofluids, including tears, saliva, breath, urine, and sweat (adsr.202200088). We also published a review by H.-P. Phan and T. N. Do et al. (adsr.202200036), who provide a thorough overview of existing teleoperated surgical robotic systems, highlighting their human–machine interfaces and emphasizing the potential of haptic and sensing technologies. Finally, J. Zikulnig et al. review additive technologies with potential compatibility with conventional electronics manufacturing, specially focusing on the up-scalability and processing challenges for high-volume industrial applications (adsr.202200073).

Before we move on to our most accessed research articles, we would like to take the opportunity to mention once again that Advanced Sensor Research, as part of the Advanced X Research titles, belongs to the Advanced journal family and publishes open-access original research articles as well as review-type contributions. Publishing in a fully gold open access journal makes all articles immediately freely available online and permanently available to everyone worldwide to read, share, download, and cite, offering exceptionally high visibility to authors and their work.

In addition, Wiley has currently several agreements in place with Funders and Institutions to help authors publish open access and cover the associated Article Publication Charges (APCs). Authors who receive funding from an agency or institution holding a Wiley Open Access Account are not required to pay directly. In fact, under these curcumstances, the charges are paid by the institution or funder (see the full Wiley Open Access funds here: https://www.authorservices.wiley.com/author-resources/Jo

The cover picture of the article 2300098 by Simon Herter, Philipp Stopp and Sarah C.L. Fischer show the measurement setup used, which is necessary for the experiments. The picture shows a robot equipped with a load cell and the newly developed sensor. In addition to the sensor, an adhesive pad can also be seen, which is used as a sample object in the research. Furthermore, a part of the optical setup is included (lower mirror adapter). The light comes from the LED strip used in FTIR (frustrated total internal reflection), which enables the acquisition of contact images.

Compliant and large-area high-temperature gradient sensing is essential for scientific and industrial applications but remains a big challenge. Although organic luminophores have intrinsic advantages of flexibility and solution processability, they generally suffer from significant emission quenching at high temperatures due to thermally facilitated nonradiative decay. Herein, a heat-resistant blue emitter of C3 based on triarylphosphine oxide has been developed, due to the thermal population of the higher emissive state from its lowest excited state. Based on this, hybridization of C3 with a faster thermally-deactivated yellow dye of T4AC which exhibits a large Stokes shift enables blocking of energy transfer and independent thermal response of the two respective emitters. Thus, sensitive ratiometric film thermometers for high-temperature sensing can be constructed. The relative sensitivity (S_r) reaches 1.27%°C⁻¹ at 128 °C and the temperature resolution is < 0.77 °C in a wide sensing range of 20–240°C. Moreover, naked-eye thermal mapping and multiple anti-counterfeiting of these ratiometric films have also been demonstrated.