Search Results (171)

Carbon-based materials exhibit diverse structural responses to irradiation owing to their distinct dimensionality, degree of graphitization, surface chemistry, and pore architecture. Although irradiation has traditionally been regarded as a source of structural damage, increasing evidence demonstrates that controlled irradiation can be deliberately utilized to tailor defects, surfaces, interfaces, and pore structures, thereby enabling desirable functional properties. This review summarizes recent progress in the irradiation-induced structural evolution and functional applications of four representative carbon-based materials, including graphene-based materials, carbon nanotubes, carbon fibers, and activated carbon/biochar. Particular attention is given to the characteristic irradiation responses of different carbon architectures. In graphene, irradiation predominantly induces vacancies, reconstructed defects, and surface functionalization, providing active sites for environmental remediation. Carbon nanotubes additionally undergo inter-tube cross-linking and welding, enabling enhanced mechanical performance and tunable electronic properties. For carbon fibers, irradiation mainly regulates surface chemistry and fiber matrix interactions, facilitating interface engineering in high-performance composites. In activated carbon and biochar, irradiation modifies pore accessibility, structural disorder, and surface functional groups, thereby influencing adsorption and electrochemical performance. These distinct responses demonstrate that irradiation can evolve from a conventional damage process into a controllable materials-engineering strategy when appropriate irradiation conditions are employed. Finally, current challenges associated with optimal irradiation conditions, quantitative defect identification, and irradiation structure–property relationships are discussed. Based on these distinct responses, we propose an architecture-dependent irradiation–structure–function (A-ISF) framework that links the initial carbon architecture and irradiation conditions to dominant energy-deposition mechanisms, structural evolution pathways, property modulation, and ultimately functional applications. Within this framework, irradiation engineering is interpreted as a competition between beneficial structural modification and excessive radiation damage, giving rise to an application-dependent optimal irradiation window. Full article

Colorectal cancer (CRC) remains one of the most frequently diagnosed malignancies worldwide and a leading indication for major abdominal surgery, with a rising incidence among younger adults. Because CRC resection is a physiologically demanding procedure performed in a frequently comorbid, often anemic and malnourished population, the preoperative period represents a decisive window in which laboratory and diagnostic testing shapes staging, risk stratification, and optimization. This narrative review is deliberately confined to the preoperative window—from histological diagnosis to the day of elective, curative-intent colon or rectal resection—and synthesizes evidence retrieved from PubMed/MEDLINE, Scopus, and ScienceDirect together with current society guidelines. It is organized around four themes: (i) the core laboratory workup, including the complete blood count and preoperative anemia, iron studies, metabolic and hepatic panels, coagulation testing, and carcinoembryonic antigen (CEA); (ii) the diagnostic and staging workup, encompassing complete colonic evaluation, contrast-enhanced computed tomography, pelvic magnetic resonance imaging for rectal cancer, and the selective role of positron emission tomography; (iii) risk stratification and preoperative optimization, spanning patient blood management, nutritional assessment and albumin, computed-tomography-defined low skeletal muscle mass, frailty, functional capacity, prehabilitation, and glycemic control; and (iv) molecular characterization, distinguishing mismatch-repair/microsatellite-instability (MMR/MSI) testing—an established, widely recommended component of CRC evaluation—from genuinely emerging biomarkers such as circulating tumor DNA (ctDNA) and systemic inflammatory and prognostic nutritional indices. Differences between colon and rectal cancer, elective and emergency presentation, and upfront versus post-neoadjuvant surgery are signposted throughout. We further integrate these elements within contemporary guideline and Enhanced Recovery After Surgery (ERAS) frameworks, including the 2025 ERAS Society recommendations for elective colorectal surgery, and distill them into a practical, evidence-based preoperative checklist specifying thresholds, timing, interventions, and strength of supporting evidence. We emphasize that the prognostic power of postoperative ctDNA does not yet translate into ctDNA-guided treatment decisions outside clinical trials. The central message is that preoperative testing in CRC should be purposeful and stage- and risk-adapted rather than reflexive: each investigation should refine staging, modify perioperative management, or enable measurable optimization. Each risk domain is paired with the intervention it should trigger, the criteria identifying candidates for extended thromboprophylaxis are specified, and the systemic inflammatory indices are framed as a trigger for optimization rather than as prognostic commentary. Full article

Background: The development of sustainable biomaterials that combine imaging capability with complementary biological functions without relying on incorporated drugs or exogenous fluorophores represents an attractive strategy for multifunctional biomedical platforms. Methods: Here, carboxymethyl cellulose (CMC) hydrogels reinforced with nanographene oxide (nGO) were developed by citric acid-mediated crosslinking using nGO contents of up to 3% (w/w) and evaluated for their physicochemical, electrochemical, and biological properties. Results: nGO exhibited a nanosheet morphology, a hydrodynamic diameter of 5.0 ± 0.2 nm, and a specific surface area of approximately 650 m² g⁻¹. Incorporation of nGO modified the hydrogel structure and reduced water uptake within the tested formulation window. The nanocomposite hydrogels maintained high cytocompatibility, with approximately 100% HeLa cell viability after 24 h. Confocal microscopy and quantitative fluorescence-intensity analysis demonstrated enhanced fluorescence relative to untreated cells, reaching approximately eightfold higher signal intensity and supporting proof-of-concept fluorescence-assisted visualization of HeLa cells without exogenous fluorescent probes. However, because only HeLa cells were evaluated and no cancer-specific targeting ligand was incorporated, these findings do not establish diagnostic specificity. The CMC–nGO hydrogels also exhibited radical-scavenging activity of up to 96.5% and antimicrobial activity against Escherichia coli and Candida albicans, with maximum inhibition zones of 12.9 and 9.2 mm, respectively. In addition, nGO incorporation modified the electrochemical response of graphite electrodes, supporting the multifunctional character of the platform. Conclusions: Overall, CMC–nGO hydrogels provide a sustainable, drug-free, and fluorophore-free biointerface combining fluorescence-assisted cell visualization with antioxidant, antimicrobial, and electrochemical functionalities. Further photophysical characterization, comparison with non-cancerous cervical cells, rheological and mechanical evaluation, and validation in advanced biological models are required to establish their potential for future bioimaging and biosensing applications. Full article

Background: Thyroid hormone synthesis, deiodination, and redox regulation depend on iodine availability and selenium-dependent proteins. Therefore, these nutrients may alter sensitivity to thyroid disturbance brought on by metals and metalloids; nevertheless, direct human evidence has not been compiled independently from rescue experiments. Goal: To determine the mechanistic, biomarker, and study-design needs for interpretable human research, as well as to critically assess whether iodine or selenium alters metal-associated thyroid effects. Methods: Terms for metals, metalloids, iodine, selenium, and thyroid endpoints were used to search PubMed/MEDLINE until 14 July 2026. The database search was improved by selective forward citation searching, backward citation searching, and exact-title and DOI retrieval. A thyroid-specific outcome, a measurable or experimentally manipulated iodine or selenium variable, and a metal or metalloid exposure were all necessary for studies to be eligible. An author-developed framework that distinguished between formal interaction, stratification, joint-exposure modeling, contextual co-measurement, factorial nutritional-status experiments, physiologically interpretable supplementation, and pharmacological or nanoparticle rescue was used to categorize experimental evidence from humans and mammals. Results: Seven human studies and nine mammalian experimental studies made up the core evidence set. One additional human study was retained as contextual evidence. The results of the three human studies that directly assessed modification were mixed. One showed no clear interactions with iodine or selenium, one discovered an isolated strontium-by-iodine interaction, and one reported a suggestive mercury-by-iodine-supplement interaction. Most experimental trials employed high-dose, combination, parenteral, or nanoparticle rescue methods, but they more consistently demonstrated mitigation of thyroid damage by selenium-containing treatments. Conclusions: Although iodine- and selenium-dependent sensitivity is biologically feasible, there is currently little human data to support a consistent protective or detrimental modifying impact. Rather than supporting population-level prevention, experimental rescue promotes mechanistic modifiability. Repeated iodine testing, functional selenium biomarkers, metal speciation, vulnerable-window sampling, thyroid-specific outcomes, and predetermined interaction analyses are all necessary for future research. Full article

Gel polymer electrolytes (GPEs) have emerged as promising electrolytes for lithium metal batteries owing to their high ionic conductivity, mechanical flexibility, and reduced risk of electrolyte leakage. However, PAN-based GPEs still suffer from limited ion transport caused by the semi-crystalline structure of PAN chains. In this work, polyacrylonitrile (PAN)/poly(methyl methacrylate) (PMMA)/lithium aluminum titanium phosphate (LATP)/lithium bis(trifluoromethanesulfonyl)imide (LiTFSI) gel polymer electrolytes were fabricated via direct ink writing (DIW) 3D printing, where PMMA was introduced to regulate the PAN matrix and enhance Li⁺ transport. The results reveal that PMMA incorporation effectively reduces PAN crystallinity, increases the amorphous fraction, and modifies the local functional-group environment of the polymer matrix, while LATP fillers further improve ionic transport and mechanical stability. The optimized PPM8:2 gel polymer electrolyte delivers a room-temperature ionic conductivity of 4.22 × 10⁻⁴ S cm⁻¹, a Li⁺ transference number of 0.624, and an electrochemical stability window of 4.75 V. When applied in LiFePO₄|Li batteries, it maintains a discharge capacity of approximately 150 mAh g⁻¹ after 100 cycles at 0.1 C with excellent rate capability and cycling stability. This work provides an effective approach to developing PAN-based gel polymer electrolytes for high-performance lithium metal batteries. Full article

Dynamic difficulty adjustment in Serious Games remains challenging because most adaptive approaches respond primarily to performance variables and insufficiently incorporate the player’s psychophysiological state in real time. Prior studies have shown the potential of biofeedback and heart rate variability based adaptation; however, many proposals rely on isolated indicators, limited temporal integration, or mechanisms that do not explicitly stabilize state transitions before modifying gameplay. In response, this article proposes a dynamic difficulty adjustment mechanism based on cardiac signals and Cellular Automata for Serious Games. The novelty of the proposal lies in combining individualized instantaneous heart rate ranges, time and frequency domain heart rate variability features, a hybrid multilayer caching for resolving discrepancies between short and longer window estimates, and a Cellular Automaton that introduces temporal inertia before applying adaptive changes to game parameters. Methodologically, the study follows a design and implementation research process in which the mechanism is integrated with a Polar H10 sensor, structured as a modular architecture, and evaluated through functional and architectural, including real time tests of arousal band assignment, adaptive response, and trace level coherence. The engine assigns three classes of operational arousal bands, defining individualized low, target, and high BPM/HRV control regions for DDA actuation. The results demonstrate technically stable operation and effective real time adaptation, with an average response latency of approximately two seconds, supporting the feasibility of the proposed mechanism. Overall, the findings indicate that cardiac signal driven adaptation combined with Cellular Automata based transition control constitutes a technically viable approach for Serious Games. Full article

Fluorescence-based immunoassays are widely used for sensitive and specific biomarker detection; however, further improvements in sensitivity remain desirable for detecting low-abundance analytes without increasing assay complexity. In this work, we present a proof-of-concept demonstration of guided electrokinetic assembly of functionalized latex beads as a post-assay signal enhancement strategy using alternating-current electro-osmosis (ACEO). Carboxyl-modified 1 μm polystyrene beads conjugated with Alexa Fluor 647-labeled anti-IgG were localized within lithographically defined windows on carbon interdigitated electrode arrays, producing localized fluorescence enhancement through physical bead localization without enzymatic amplification or additional labeling chemistries. Compatibility of the approach with fluorescence-based immunoassays was demonstrated through adaptation of a TNF-α ELISA workflow. Electro-osmotic localization of functionalized bead conjugates was achieved within 120 s, producing an approximately 12-fold increase in corrected total fluorescence relative to the corrected signal of the pre-electro-osmosis condition while demonstrating negligible enrichment of unbound fluorescent protein. Application of the platform to a TNF-α sandwich immunoassay yielded an approximately 5.5-fold enhancement in fluorescence signal, and robust bead localization was maintained across anti-IgG concentrations ranging from 1 to 4 μg/mL. These findings demonstrate that guided electrokinetic bead localization provides an effective signal enhancement strategy for fluorescence-based immunoassays and represents a promising approach for improving the detection of low-abundance analytes. Full article

Background: Although advances in critical care have improved short-term outcomes, sepsis survivors continue to face substantial chronic morbidity and impaired long-term survival. Conventional threshold-based tools such as the Sequential Organ Failure Assessment (SOFA) and Modified Early Warning Score (MEWS) show moderate and variable discrimination across cohorts. Reported areas under the receiver operating characteristic curve (AUROCs) must therefore be interpreted in relation to the population, prediction horizon, and outcome used in each study rather than as direct head-to-head comparisons. Objectives: This review evaluates how artificial intelligence (AI) could be linked with dynamic plasma metabolites, particularly citrulline and β-hydroxybutyrate (3-HB), to support biologically informed sepsis phenotyping, while critically examining mechanistic evidence, clinical limitations, and translational readiness. Data Synthesis: Machine-learning and natural language processing architectures have shown promising discrimination in many early-detection studies, with pooled AUROCs near 0.87 and reported prediction windows extending to 48 h. However, performance estimates vary with cohort composition, outcome definition, and validation design, and they should not be ranked against unrelated biomarker studies. Human sepsis studies generally associate low or persistently low citrulline with impaired intestinal function and organ injury, but no sepsis-specific decision cutoff has been externally validated. For 3-HB, an AUROC of 0.8429 for septic liver injury was derived from a cohort of 57 patients and has not been shown to add value beyond routine liver tests or illness-severity measures. Murine experiments provide mechanistic hypotheses for ketone-mediated organ protection, but model-specific and sometimes opposing nutritional effects limit direct translation. These metabolites are therefore best considered candidate longitudinal features for multimodal phenotyping rather than stand-alone clinical triggers. Conclusions: Biologically informed algorithmic surveillance is a promising direction, but clinical implementation requires prospective serial sampling, explicit adjustment for renal, hepatic and nutritional confounders, head-to-head comparison with routine markers, and external validation of calibration and clinical utility. Until these requirements are met, citrulline and 3-HB should support research phenotyping rather than direct treatment selection. Full article

Digital markets increasingly coordinate prices, matches, orders, and allocations through automated systems whose decision–execution loops can close faster than humans can intervene. This article develops a microfounded framework in which latency is a temporal feasibility constraint that complements adjustment costs, information delay, costly information acquisition, queueing, and technological execution costs. The model distinguishes common latency, human intervention latency, and relative latency. Common latency is produced by platform and participant investment and affects welfare through the freshness of the state on which decisions are executed. Human intervention is represented by a smooth, task- and organization-specific probability q(L,z,s), derived from a distribution of completion times and modified by interface and organizational support. Human, hybrid, and algorithmic decision technologies differ in speed, accuracy, cost, and systematic misspecification risk. Relative speed is modeled as a strategic priority contest in which each intermediary’s best response depends on rivals’ investments, while platform rules determine the sensitivity and value of being first. The framework derives conditions for human-algorithm substitution, welfare-improving common-speed investment, socially excessive strategic speed investment, and welfare-enhancing batching or latency floors. It separates temporal from structural market distortions, integrates decision-technology quality and state freshness in a total-welfare function, and develops an incidence model that traces gains across heterogeneous users, intermediaries, and infrastructure owners. Robustness results cover diffusion, mean-reverting, jump, stochastic-volatility, and regime-switching state processes. An illustrative dynamic simulation, explicit scope conditions, and an operational empirical agenda show how the theory can be tested without claiming empirical calibration. The central contribution is a non-equivalence result: when latency enters the probability of successful intervention, shortening the decision window can change the technology and locus of marginal choice even when information, objectives, adjustment costs, and the substantive decision rule are held fixed. Full article

Background/Objectives: 2-(2-Benzofuranyl)-2-imidazoline (2-BFI) is a selective imidazoline I₂-site ligand that has shown neuroprotective and neuromodulatory effects in preclinical central nervous system (CNS) studies. However, the primary preclinical literature remains fragmented across disease models, outcome types, mechanistic endpoints, and cellular targets, making it difficult to define where its therapeutic-development potential is strongest and how disease- or model-specific functional effects relate to molecular, cellular, tissue, and blood–brain barrier/neurovascular unit (BBB/NVU)-related findings. Methods: This systematic review integrated preclinical evidence from 36 original studies identified in the PubMed, Web of Science, Embase, and Scopus databases through searches last updated on May 19, 2026, to evaluate the strength of evidence for 2-BFI across CNS-related models and to connect functional, molecular, cellular, and neurovascular findings. The evidence categories included ischemic stroke/neurovascular outcomes (n = 13), traumatic CNS injury (n = 2), neuroinflammatory/neurodegeneration-related models (n = 9), behavioral pharmacology (n = 8), and cellular mechanisms (n = 4). Eligible studies were original CNS-related animal, cellular, or behavioral/pharmacological studies that directly evaluated 2-BFI and reported neuroprotective, neurological, cellular, molecular, vascular, inflammatory, neurotransmitter-related, or behavioral outcomes. Findings were synthesized qualitatively, and risk of bias in in vivo animal studies was assessed using SYRCLE’s risk-of-bias tool. Results: The most extensive preclinical evidence was found in ischemic stroke and neurovascular injury models, in which 2-BFI attenuated infarct size, neurological deficits, and edema, and suppressed apoptosis-related injury and blood–brain barrier/neurovascular unit (BBB/NVU) disruption. Across models, these effects are best interpreted as modulation of interconnected secondary injury processes involving N-methyl-D-aspartate receptor (NMDAR)/Ca²⁺-dependent excitotoxicity, oxidative and mitochondrial stress, inflammatory amplification, regulated cell death, and neurovascular destabilization. Evidence from traumatic CNS injury, autoimmune neuroinflammation, Alzheimer’s disease-related models, chronic epilepsy, and cellular stress models broadened the CNS relevance of 2-BFI but remained less replicated or more mechanistically indirect than the stroke/neurovascular evidence. Behavioral and pharmacological studies additionally indicated that 2-BFI modulates neurotransmitter-related systems associated with pain-, affective-, addiction-, opioid-, and compulsivity-related outcomes, although these findings should be distinguished from disease-modifying neuroprotective evidence. Conclusions: Meta-analysis was not conducted because of heterogeneity in models, dosing regimens, treatment timing, and outcomes. Overall, the current evidence does not yet support definitive dosing, treatment timing, or clinical development recommendations for 2-BFI. The strongest preclinical therapeutic rationale is currently found in ischemic stroke and neurovascular injury settings, whereas other CNS indications require further validation. Future studies should define dose–response relationships, therapeutic windows, pharmacokinetic and safety profiles, sex- and age-related effects, and efficacy in clinically relevant comorbid models before clinical translation is considered. The review was not prospectively registered. Funding was provided by a National Research Foundation of Korea grant funded by the Korean government. Full article

This paper presents the design and numerical assessment of a compact short-wave infrared (SWIR) optical payload for a CubeSat nanosatellite platform. The proposed payload is intended to provide sequential imaging in selected SWIR bands using a revolver filter wheel while accommodating a long-focal-length optical system within a limited 3U volume. The optical layout is based on a modified Maksutov configuration with an effective focal length of approximately 550 mm and an aperture of 84 mm. The system is designed to achieve a ground sampling distance (GSD) of ≤15 m at an orbital altitude of 500–550 km. For sequential imaging in different regions of the SWIR range, filters with central wavelengths of 1.24, 1.6, 1.9, and 2.1 μm are used together with an additional broadband window. The optical performance was evaluated using spot diagrams and modulation transfer function (MTF) analysis for the selected spectral bands. A preliminary thermo-optical sensitivity assessment was also performed over the temperature range from −20 °C to +40 °C by considering temperature-induced changes in axial distances between optical elements and surface curvatures caused by material expansion. The results indicate that the MTF at the detector Nyquist frequency of 33 lp/mm remains above the selected threshold of 0.1 for the considered spectral bands and uniform temperature states. The proposed configuration demonstrates the feasibility of implementing a compact long-focal-length SWIR payload with filter-wheel-based band selection for CubeSat missions, while maintaining the required calculated image quality within the considered design-stage assumptions. Full article

Reversible genetic medicines are emerging as controllable alternatives to permanent genome editing by enabling programmable modulation of RNA sequence, transcript abundance, chromatin state, and gene expression without irreversible genomic alteration. However, reversibility is not a single binary property: transient editor exposure, decay of the molecular effect, recovery of cellular function, and clinical capacity to stop, redose, or counteract treatment may diverge. This review therefore distinguishes mechanistic, functional, and clinical reversibility while examining targeted delivery systems for RNA-editing and epigenome-editing therapeutics. Key payloads include ADAR-recruiting oligonucleotides, CRISPR-Cas13 RNA editors, guide RNAs, chemically modified RNAs, editor-encoding mRNAs, dCas9 transcriptional regulators, DNA methylation editors, histone-modifying systems, and CRISPRoff-like platforms. We evaluate extracellular and intracellular delivery barriers, including nuclease degradation, immune recognition, renal clearance, liver uptake, cellular entry, endosomal escape, cytoplasmic release, nuclear localization, chromatin access, editing-window duration, off-target activity, immunogenicity, repeat-dosing feasibility, manufacturing, quality control, potency assays, and regulatory translation. Overall, delivery systems for reversible genetic medicines should be judged by tissue selectivity, functional editing, duration of action, reversibility after treatment withdrawal, safety, manufacturability, and clinical controllability. Full article

Background: Vitamin D deficiency affects an estimated 40–60% of pregnant women worldwide and is associated with adverse obstetric and neonatal outcomes. Childhood asthma, the most prevalent chronic paediatric disease, has emerged as a plausible programming target, since vitamin D regulates foetal lung branching morphogenesis, calibrates the developing immune system, and modulates decidual and placental function in early gestation. Two landmark randomised trials, VDAART (intervention from weeks 10–18) and COPSAC2010 (from week 24), each reported a 20–25% reduction in offspring asthma or recurrent wheeze at age 3, yet neither reached significance in primary analysis, and the protective signal attenuated by school age. Post hoc stratification by baseline maternal 25-hydroxyvitamin D [25(OH)D] and 17q21 genotype recovered significant effects, raising the possibility that population-average nulls conceal a real but modifier-conditional benefit. Aim: This narrative review re-examines the evidence through a developmental-timing lens, arguing that the periconceptional and first-trimester window, rather than mid-gestation, is the biologically relevant interval for any protective effect. Methods: The review utilises a narrative synthesis of randomised trials, birth-cohort studies, mechanistic investigations, and recent meta-analyses (PubMed, Embase, Cochrane Library to April 2026) relevant to maternal vitamin D, placental biology, and offspring asthma. Findings: The periconceptional weeks coincide with implantation, decidualisation, the embryonic and pseudoglandular phases of airway morphogenesis, and the onset of epigenetic programming, while decidual CYP27B1 expression is prominent in the first trimester. Both trials initiated supplementation after branching morphogenesis was largely complete. Effect modifiers, including baseline 25(OH)D, vitamin D-binding protein, and maternal 17q21 genotype, indicate substantial inter-individual heterogeneity masked in unselected populations. Conclusions: Repositioning preventive supplementation toward the preconceptional and first-trimester window, stratified by baseline status, offers a biologically coherent strategy that existing mid-pregnancy trials have not tested. Adequately powered preconceptional trials with serial biomarker measurement and objective respiratory phenotyping are the priority. Full article

Fly ash (FA) recycling into cementitious binders offers a promising route to simultaneously reduce the environmental burden of high-impact construction materials, divert industrial waste from disposal pathways, and generate engineering value from an existing aluminosilicate residue. FA has therefore been widely incorporated into ordinary Portland cement (OPC), calcium sulfoaluminate (CSA) cement, magnesium potassium phosphate cement (MKPC), and alkali-activated/geopolymer systems, where it can improve workability, mechanical strength, durability and promote hydration reactions, depending on the binder chemistry. However, these benefits are not always successful: FA addition may also reduce early-age strength, delay setting, limit reactivity, impair fluidity, or produce under-reacted matrices when ash properties are mismatched with the chemistry window of the target binder. Rather than revisiting these systems as isolated application categories, this review develops a property-guided framework for interpreting and selecting FA across major cementitious routes. It first highlights why FA should not be treated as a single material. Key descriptors include glass content, fineness, calcium level, carbon residue, mineralogy, and beneficiation state. The review then compares four representative binder environments to clarify the role of FA shifts from pozzolanic contributor to filler-dominated hydration modifier to functional regulator, and finally to reactive precursor, including the calcium hydroxide (CH)-rich Portland systems, CH-poor CSA systems, phosphate-bonded MKPC systems, and alkali-activated/geopolymer systems. The central conclusion is that the key question is not simply where FA can be used, but which FA is best matched with which binder chemistry and for what performance objective. Full article

Selective energy conversion in confined catalytic nanocavities is examined through a coupled reactive–photonic framework. The practical target is a combustor-integrated selective emitter for thermophotovoltaic (TPV) conversion and cascaded thermoelectric (TEG) recovery, in which Pt-coated anodic porous alumina (APA) functions simultaneously as a catalytic reactor, a cavity-modified electromagnetic environment and a heat-routing structure. Visible/near-infrared spectra (380–780 nm) show that Pt-coated APA exhibits a substantially stronger non-grey red-edge depression than a smooth zirconia reference. This observation establishes a spectral contrast in the measured window but is not used to identify an experimental cutoff wavelength, because a finite, open, lossy and array-coupled pore does not exhibit the abrupt edge predicted for an ideal cylindrical waveguide. For the mid-infrared, analytical scaling shows that the principal H₂O and CO₂ bands at 2.7, 4.3, 6.3 and 15.0 µm all lie deep in the evanescent regime relative to the ideal TE₁₁ cutoff wavelength λc ≈ 0.513 µm for a 300 nm pore. A converged finite-difference time-domain benchmark at the CO₂ 4.3 µm band yields a source-local Purcell factor F_p ≈ 0.38, indicating suppression of the total local density of optical states, while aperture flux is more than six orders of magnitude smaller than the near-field power budget. The specific contribution is therefore not the established fact of below-cutoff attenuation, but the co-design and separate quantification of a catalytic nanocavity as a reactive compartment, photonic environment and energy-branching element. The results provide a bounded mechanistic basis for combustor-integrated TPV and hybrid TPV/TEG architectures. Full article