In the U.S., approximately 17 patients die each day awaiting an organ transplant, a crisis driven by the inability to store organs long-term via methods like cryopreservation. A primary failure mechanism is the severe thermo-mechanical damage tissues experience during freezing. A predictive understanding of this damage is hindered by the complex interplay between heat transfer, phase change, and large-deformation mechanics. Motivated by this fundamental problem, we present a fully coupled, thermo-mechanical phase-field framework for modeling damage evolution in fluid-saturated soft materials under cryogenic conditions. The theoretical framework integrates heat transfer with solid-liquid phase transition, finite-deformation nonlinear elasticity, and progressive mechanical damage. The governing equations are solved using the FEniCS finite element package. This paper details the theoretical framework and showcases representative simulations that capture the spatiotemporal evolution of temperature, freezing phase field, stress, and damage fields during representative freezing protocols. The developed framework serves as a powerful tool for understanding the fundamental mechanisms of freezing-induced injury and for designing improved cryopreservation strategies.

The controlled self-assembly of Janus particles via pH modulation offers an effective strategy for optimizing surface-enhanced Raman scattering (SERS) and Raman signal amplification. These asymmetric microparticles enable precise spatial organization, influencing plasmonic coupling and electromagnetic field distribution critical for SERS enhancement. Here, we investigate the pH-mediated self-assembly of Janus particles and its impact on their optical sensing performance. By adjusting solution pH, we modulate electrostatic interactions that govern particle aggregation and structural formation, leading to tunable hotspots for Raman signal enhancement. Scanning electron microscopy (SEM) characterizes the resulting nanostructures, while Raman imaging and SERS measurements assess the enhancement capabilities across different pH conditions. Our findings demonstrate that pH-mediated self-assembly plays a pivotal role in optimizing interparticle spacing and plasmonic interactions, yielding significantly amplified Raman signals. This approach provides a versatile and reproducible method for engineering SERS-active substrates, advancing their application in bioanalytical sensing, molecular diagnostics, and environmental monitoring.

Cardiolipin (CL), a mitochondria-specific phospholipid, plays a fundamental role in respiratory chain organization and bioenergetic efficiency, yet its contribution to osteogenic differentiation is poorly defined. Here, we used a multimodal approach integrating untargeted LC-MS lipidomics, Raman spectroscopy, fluorescence lifetime imaging microscopy (FLIM), and structural imaging to investigate CL remodeling during human adipose-derived stem cell differentiation. Lipidomics revealed a selective enrichment of highly unsaturated CL species, accompanied by transcriptional upregulation of the cardiolipin biosynthetic and remodeling enzymes CDS1/2, PGS1, CRLS1, TAZ, and HADHA. Lipidomics also revealed a time-dependent increase in membrane-associated lipids including phosphatidylcholine (PC), serine, and phosphatidylinositol (PI). These lipids were implicated in supporting mitochondrial membrane expansion, oxidative phosphorylation, and signaling processes critical for osteoblast maturation. Spatial imaging techniques confirmed cardiolipin accumulation and redistribution in differentiated cells, while Raman-based direct classical least squares (DCLS) analysis provided label-free mapping of lipid species. Gene Ontology (GO) enrichment and protein-protein interaction network analysis further identified biological pathways related to bone remodeling, cardiolipin metabolism, and osteoblast-specific signaling. Fluorescence Lifetime Imaging Microscopy (FLIM) data revealed a metabolic shift from glycolysis to oxidative phosphorylation during differentiation, supported by structural and gene expression evidence. These changes temporally coincided with matrix mineralization and collagen organization, linking CL metabolism to both cellular bioenergetics and extracellular matrix production. Our findings identify cardiolipin remodeling as a metabolic checkpoint in osteogenesis and suggest that targeted modulation of CL pathways may provide new therapeutic strategies for enhancing bone regeneration.

Living organisms inspire the design of microrobots, but their functionality is unmatched. Next-generation microrobots aim to leverage the sensing and communication abilities of organisms through magnetic hybridization, attaching magnetic particles to them for external control. However, the protocols used for magnetic hybridization are morphology specific and are not generalizable. We propose an alternative approach that leverages the principles of negative magnetostatics and magnetophoresis to control nonmagnetic organisms with external magnetic fields. To do this, we disperse model organisms in dispersions of Fe3O4 nanoparticles and expose them to either uniform or gradient magnetic fields. In uniform magnetic fields, living organisms align with the field due to external torque, while gradient magnetic fields generate a negative magnetophoretic force, pushing objects away from external magnets. The magnetic fields enable controlling the position and orientation of Caenorhabditis elegans larvae and flagellated bacteria through directional interactions and magnitude. This control is diminished in live spermatozoa and adult C. elegans due to stronger internal biological activity, i.e., force/torque. Our study presents a method for spatiotemporal organization of living organisms without requiring magnetic hybridization, opening the way for the development of controllable living microbiorobots.

The development of simple but effective storage protocols for adult stem cells will greatly enhance their use and utility in tissue-engineering applications. Cryopreservation has shown the most promise but is a fairly complex process, necessitating the use of chemicals called cryoprotective agents (CPAs), freezing equipment, and obviously, storage in liquid nitrogen. The purpose of this chapter is to present a general overview of cryopreservation storage techniques and the optimal protocols/results obtained in our laboratory for long-term storage of adult stem cells using freezing storage.

Lateral flow assays (LFAs) are a popular method for quick and affordable diagnostic testing because they are easy to use, portable, and user-friendly. However, LFA design has always faced challenges regarding sensitivity, accuracy, and complexity of the operation. By integrating new technologies and reagents, the sensitivity and accuracy of LFAs can be improved while minimizing the complexity and potential for false positives. Surface enhanced Raman spectroscopy (SERS), photoacoustic techniques, fluorescence resonance energy transfer (FRET), and the integration of smartphones and thermal readers can improve LFA accuracy and sensitivity. To ensure reliable and accurate results, careful assay design and validation, appropriate controls, and optimization of assay conditions are necessary. Continued innovation in LFA technology is crucial to improving the reliability and accuracy of rapid diagnostic testing and expanding its applications to various areas, such as food testing, water quality monitoring, and environmental testing.

Immobilization using external or internal splints is a standard and effective procedure to treat minor skeletal fractures. In the case of major skeletal defects caused by extreme trauma, infectious diseases or tumors, the surgical implantation of a bone graft from external sources is required for a complete cure. Practical disadvantages, such as the risk of immune rejection and infection at the implant site, are high in xenografts and allografts. Currently, an autograft from the iliac crest of a patient is considered the “gold standard” method for treating large-scale skeletal defects. However, this method is not an ideal solution due to its limited availability and significant reports of morbidity in the harvest site (30%) as well as the implanted site (5–35%). Tissue-engineered bone grafts aim to create a mechanically strong, biologically viable and degradable bone graft by combining a three-dimensional porous scaffold with osteoblast or progenitor cells. The materials used for such tissue-engineered bone grafts can be broadly divided into ceramic materials (calcium phosphates) and biocompatible/bioactive synthetic polymers. This review summarizes the types of materials used to make scaffolds for cryo-preservable tissue-engineered bone grafts as well as the distinct methods adopted to create the scaffolds, including traditional scaffold fabrication methods (solvent-casting, gas-foaming, electrospinning, thermally induced phase separation) and more recent fabrication methods (fused deposition molding, stereolithography, selective laser sintering, Inkjet 3D printing, laser-assisted bioprinting and 3D bioprinting). This is followed by a short summation of the current osteochondrogenic models along with the required scaffold mechanical properties for in vivo applications. We then present a few results of the effects of freezing and thawing on the structural and mechanical integrity of PLLA scaffolds prepared by the thermally induced phase separation method and conclude this review article by summarizing the current regulatory requirements for tissue-engineered products.

Biomarkers are vital in healthcare as they provide valuable insights into disease diagnosis, prognosis, treatment response, and personalized medicine. They serve as objective indicators, enabling early detection and intervention, leading to improved patient outcomes and reduced costs. Biomarkers also guide treatment decisions by predicting disease outcomes and facilitating individualized treatment plans. They play a role in monitoring disease progression, adjusting treatments, and detecting early signs of recurrence. Furthermore, biomarkers enhance drug development and clinical trials by identifying suitable patients and accelerating the approval process. In this review paper, we described a variety of biomarkers applicable for cancer detection and diagnosis, such as imaging-based diagnosis (CT, SPECT, MRI, and PET), blood-based biomarkers (proteins, genes, mRNA, and peptides), cell imaging-based diagnosis (needle biopsy and CTC), tissue imaging-based diagnosis (IHC), and genetic-based biomarkers (RNAseq, scRNAseq, and spatial transcriptomics).

A biomarker is a physiological observable marker that acts as a stand-in and, in the best-case scenario, forecasts a clinically significant outcome. Diagnostic biomarkers are more convenient and cost-effective than directly measuring the ultimate clinical outcome. Cancer is among the most prominent global health problems and a major cause of morbidity and death globally. Therefore, cancer biomarker assays that are trustworthy, consistent, precise, and verified are desperately needed. Biomarker-based tumor detection holds a lot of promise for improving disease knowledge at the molecular scale and early detection and surveillance. In contrast to conventional approaches, surface plasmon resonance (SPR) allows for the quick and less invasive screening of a variety of circulating indicators, such as circulating tumor DNA (ctDNA), microRNA (miRNA), circulating tumor cells (CTCs), lipids, and proteins. With several advantages, the SPR technique is a particularly beneficial choice for the point-of-care identification of biomarkers. As a result, it enables the timely detection of tumor markers, which could be used to track cancer development and suppress the relapse of malignant tumors. This review emphasizes advancements in SPR biosensing technologies for cancer detection.

Following an earlier study, we reexamined the latent heat of fusion during freezing at 5 K/min of twelve different pre-nucleated solute-laden aqueous solutions using a Differential Scanning Calorimeter (DSC) and correlated it with the amount of initially dissolved solids or solutes in the solution. In general, a decrease in DSC-measured heat release (in comparison to that of pure water, 335 mJ/mg) was observed with an increasing fraction of dissolved solids or solutes, as observed in the earlier study. In addition, the kinetics of ice crystallization was also obtained in three representative biological media by performing additional experiments at 1, 5 and 20 K/min. A model of ice crystallization based on the phase diagram of a water–NaCl binary solution and a modified Avrami-like model of kinetics was then developed and fit to the experimental data. Concurrently, a heat and mass transfer model of the freezing of a salt solution in a small container is also presented to account for the effect of the cooling rate as well as the solute concentration on the measured latent of freezing. This diffusion-based model of heat and mass transfer was non-dimensionalized, solved using a numerical scheme and compared with experimental results. The simulation results show that the heat and mass transfer model can predict (± 10%) the experimental results.

Stem cell-based therapies carry significant promise for treating human diseases. However, clinical translation of stem cell transplants for effective treatment requires precise non-destructive evaluation of the purity of stem cells with high sensitivity (<0.001% of the number of cells). Here, a novel methodology using hyperspectral imaging (HSI) combined with spectral angle mapping-based machine learning analysis is reported to distinguish differentiating human adipose-derived stem cells (hASCs) from control stem cells. The spectral signature of adipogenesis generated by the HSI method enables identifying differentiated cells at single-cell resolution. The label-free HSI method is compared with the standard techniques such as Oil Red O staining, fluorescence microscopy, and qPCR that are routinely used to evaluate adipogenic differentiation of hASCs. HSI is successfully used to assess the abundance of adipocytes derived from transplanted cells in a transgenic mice model. Further, Raman microscopy and multiphoton-based metabolic imaging is performed to provide complementary information for the functional imaging of the hASCs. Finally, the HSI method is validated using matrix-assisted laser desorption/ionization-mass spectrometry imaging of the stem cells. The study presented here demonstrates that multimodal imaging methods enable label-free identification of stem cell differentiation with high spatial and chemical resolution.

While several microRNAs (miRNAs) that regulate the endotheliogenesis and further promote angiogenesis have been identified in various cancers, the identification of miRNAs that can drive the differentiation of adipose derived stromal/stem cells (ASCs) into the endothelial lineage has been largely unexplored. In this study, CD34+ ASCs sorted using magnetic bead separation were induced to differentiate along the endothelial pathway. miRNA sequencing of ASCs at day 3, 9, and 14 of endothelial differentiation was performed on Ion Proton sequencing system. The data obtained by this high-throughput method were aligned to the human genome HG38, and the differentially expressed miRNAs during endothelial differentiation at various time points (day 3, 9, and 14) were identified. The gene targets of the identified miRNAs were obtained through miRWalk database. The network-pathway analysis of miRNAs and their targets was performed using the Database for Annotation, Visualization and Integrated Discovery (DAVID) bioinformatic tools to determine the potential candidate miRNAs that promote endothelial differentiation. Based on these analyses, six upregulated miRNAs (miR-181a-5p, miR-330-5p, miR-335-3p, miR-15b-5p, miR-99a-5p, and miR-199a-5p) and six downregulated miRNAs (miR-145-5p, miR-155-5p, miR-193a-3p, miR-125a-5p, miR-221-5p, and miR-222-3p) were chosen for further studies. In vitro evaluation of these miRNAs to induce endothelial differentiation when transfected into CD34+ sorted ASCs was studied using Von Willebrand Factor (VWF) staining and quantitative real time-polymerase chain reaction (qRT-PCR). Our results suggest that miRNAs: 335-5p, 330-5p, 181a-5p and anti-miRNAs: 125a-5p, 145-5p can likely induce endothelial differentiation in CD34+ sorted ASCs. Further studies are clearly required to elucidate the specific mechanisms on how miRNAs or anti-miRNAs identified through bioinformatics approach can induce the endotheliogenesis in ASCs.

International regulatory agencies such as the Food and Drug Administration have mandated that the scientific community develop humanized microphysiological systems (MPS) as an in vitro alternative to animal models in the near future. While the breast cancer research community has long appreciated the importance of three-dimensional growth dynamics in their experimental models, there are remaining obstacles preventing a full conversion to humanized MPS for drug discovery and pathophysiological studies. This perspective evaluates the current status of human tissue-derived cells and scaffolds as building blocks for an "idealized" breast cancer MPS based on bioengineering design principles. It considers the utility of adipose tissue as a potential source of endothelial, lymphohematopoietic, and stromal cells for the support of breast cancer epithelial cells. The relative merits of potential MPS scaffolds derived from adipose tissue, blood components, and synthetic biomaterials is evaluated relative to the current "gold standard" material, Matrigel, a murine chondrosarcoma-derived basement membrane-enriched hydrogel. The advantages and limitations of a humanized breast cancer MPS are discussed in the context of in-process and destructive read-out assays. Impact statement Regulatory authorities have highlighted microphysiological systems as an emerging tool in breast cancer research. This has been led by calls for more predictive human models and reduced animal experimentation. This perspective describes how human-derived cells, extracellular matrices, and hydrogels will provide the building blocks to create breast cancer models that accurately reflect diversity at multiple levels, that is, patient ethnicity, pathophysiology, and metabolic status.

Electrochemical properties of most supercapacitor devices degrade quickly when the operating temperature deviates from room temperature. To exploit the potential of rGO in supercapacitors at extreme temperatures, a resilient electrolyte that is functional over a wide temperature range is also required. In this study, we have implemented a flexible, low-resistant solid-state electrolyte membrane (SSEM) into symmetric rGO electrodes to realize supercapacitor devices that operate in the temperature range -70 to 220 degrees C. The SSEM consists of a polycation - polybenzimidazole blend that is doped with phosphoric acid (H3PO4), and this material displays uniquely high conductivity values that range from 50 to 278 mS cm(-1) in the temperature range -25 to 220 degrees C. The fabricated supercapacitor produced a maximum capacitance of 6.8 mF cm(-2) at 100 degrees C. Energy and power densities ranged from 0.83 to 2.79 mW h cm(-2) and 90 to 125 mW cm(-2), respectively. The energy storage mechanism with a SSEM occurs by excess H3PO4 migrating from the membrane host into the electrochemical double layer in rGO electrodes. The high-temperature operation is enabled by the polycation in the SSEM anchoring phosphate type of anions preventing H3PO4 evaporation. Low-temperature operation of the supercapacitor with the SSEM is attributed to the PC-PBI matrix depressing the freezing point of H3PO4 to maintain structural proton diffusion.

Nanomaterials are playing an increasingly important role in cancer diagnosis and treatment. Nanoparticle (NP)-based technologies have been utilized for targeted drug delivery during chemotherapies, photodynamic therapy, and immunotherapy. Another active area of research is the toxicity studies of these nanomaterials to understand the cellular uptake and transport of these materials in cells, tissues, and environment. Traditional techniques such as transmission electron microscopy, and mass spectrometry to analyze NP-based cellular transport or toxicity effect are expensive, require extensive sample preparation, and are low-throughput. Dark-field hyperspectral imaging (DF-HSI), an integration of spectroscopy and microscopy/imaging, provides the ability to investigate cellular transport of these NPs and to quantify the distribution of them within bio-materials. DF-HSI also offers versatility in non-invasively monitoring microorganisms, single cell, and proteins. DF-HSI is a low-cost, label-free technique that is minimally invasive and is a viable choice for obtaining high-throughput quantitative molecular analyses. Multimodal imaging modalities such as Fourier transform infrared and Raman spectroscopy are also being integrated with HSI systems to enable chemical imaging of the samples. HSI technology is being applied in surgeries to obtain molecular information about the tissues in real-time. This article provides brief overview of fundamental principles of DF-HSI and its application for nanomaterials, protein-detection, single-cell analysis, microbiology, surgical procedures along with technical challenges and future integrative approach with other imaging and measurement modalities. This article is categorized under: Diagnostic Tools > in vitro Nanoparticle-Based Sensing Diagnostic Tools > in vivo Nanodiagnostics and Imaging Implantable Materials and Surgical Technologies > Nanoscale Tools and Techniques in Surgery.

Subcutaneous adipose tissue is a rich source of stromal vascular fraction (SVF) and adipose-derived stromal/stem cells (ASCs) that are inherently multipotent and exhibit regenerative properties. In current practice, lipoaspirate specimens harvested from liposuction surgeries are routinely discarded as a biohazard waste due to a lack of simple, cost effective, and validated cryopreservation protocols. The aim of this study is to develop a xenoprotein-free cryoprotective agent cocktail that will allow for short-term (up to 6 months) preservation of lipoaspirate tissues suitable for fat grafting and/or stromal/stem cell isolation when stored at achievable temperatures (-20 degrees C or 80 degrees C). Lipoaspirates donated by three consenting healthy donors undergoing elective cosmetic liposuction surgeries were suspended in five freezing media (FM1: 10% DMSO and 35% BSA; FM2: 2% DMSO and 43% BSA; FM3: 10% DMSO and 35% lipoaspirate saline; FM4: 2% DMSO and 6% HSA; and FM5: 40% lipoaspirate saline and 10% PVP) all suspended in 1X DMEM/F12 and frozen using commercially available freezers (-20 degrees C or 80 degrees C) and stored at least for a 1 month. After 1 month of freezing storage, SVF cells and ASCs were isolated from the frozen-thawed lipoaspirates by digestion with collagenase type I. Cell viability was evaluated by fluorescence microscopy after staining with acridine orange and ethidium bromide. The SVF isolated from lipoaspirates frozen at 80 degrees C retained comparable cell viability with the tested freezing media (FM2, FM3, FM4) comparable with the conventional DMSO and animal serum media (FM1), whereas the FM5 media resulted in lower viability. In contrast, tissues frozen and stored at 20 degrees C did not yield live SVF cells after thawing and collagenase digestion. The surface marker expression (CD90, CD29, CD34, CD146, CD31, and CD45) of ASCs from frozen lipoaspirates at 80 degrees C in different cryoprotectant media were also evaluated and no significant differences were found between the groups. The adipogenic and osteogenic differentiation potential were studied by histochemical staining and gene expression by qRT-PCR. Oil Red O staining for adipogenesis revealed that the CPA media FM1, FM4 and FM5 displayed robust differentiation. Alizarin Red S staining for osteogenesis revealed that FM1 and FM4 media displayed superior differentiation in comparison to other tested media. Measurement of adipogenic and osteogenic gene expression by qRT-PCR provided similar outcomes and indicated that FM4 CPA media comparable with FM1 for adipogenesis and osteogenesis.