Mechanistic Influence Research Articles

Identification of K+-determined reaction pathway for facilitated kinetics of CO2 electroreduction

Cations such as K+ play a key part in the CO2 electroreduction reaction, but their role in the reaction mechanism is still in debate. Here, we use a highly symmetric Ni-N4 structure to selectively probe the mechanistic influence of K+ and identify its interaction with chemisorbed CO2−. Our electrochemical kinetics study finds a shift in the rate-determining step in the presence of K+. Spectral evidence of chemisorbed CO2− from in-situ X-ray absorption spectroscopy and in-situ Raman spectroscopy pinpoints the origin of this rate-determining step shift. Grand canonical potential kinetics simulations - consistent with experimental results - further complement these findings. We thereby identify a long proposed non-covalent interaction between K+ and chemisorbed CO2−. This interaction stabilizes chemisorbed CO2− and thus switches the rate-determining step from concerted proton electron transfer to independent proton transfer. Consequently, this rate-determining step shift lowers the reaction barrier by eliminating the contribution of the electron transfer step. This K+-determined reaction pathway enables a lower energy barrier for CO2 electroreduction reaction than the competing hydrogen evolution reaction, leading to an exclusive selectivity for CO2 electroreduction reaction.

The role of obesity and adipose tissue dysfunction in osteoarthritis pain.

Obesity has a pivotal and multifaceted role in pain associated with osteoarthritis (OA), extending beyond the mechanistic influence of BMI. It exerts its effects both directly and indirectly through various modifiable risk factors associated with OA-related pain. Adipose tissue dysfunction is highly involved in OA-related pain through local and systemic inflammation, immune dysfunction, and the production of pro-inflammatory cytokines and adipokines. Adipose tissue dysfunction is intricately connected with metabolic syndrome, which independently exerts specific effects on OA-related pain, distinct from its association with BMI. The interplay among obesity, adipose tissue dysfunction and metabolic syndrome influences OA-related pain through diverse pain mechanisms, including nociceptive pain, peripheral sensitization and central sensitization. These complex interactions contribute to the heightened pain experience observed in individuals with OA and obesity. In addition, pain management strategies are less efficient in individuals with obesity. Importantly, therapeutic interventions targeting obesity and metabolic syndrome hold promise in managing OA-related pain. A deeper understanding of the intricate relationship between obesity, metabolic syndrome and OA-related pain is crucial and could have important implications for improving pain management and developing innovative therapeutic options in OA.

The role of the gut microbiome in disorders of gut–brain interaction

Disorders of Gut‐Brain Interaction (DGBI) are widely prevalent and commonly encountered in gastroenterology practice. While several peripheral and central mechanisms have been implicated in the pathogenesis of DGBI, a recent body of work suggests an important role for the gut microbiome. In this review, we highlight how gut microbiota and their metabolites affect physiologic changes underlying symptoms in DGBI, with a particular focus on their mechanistic influence on GI transit, visceral sensitivity, intestinal barrier function and secretion, and CNS processing. This review emphasizes the complexity of local and distant effects of microbial metabolites on physiological function, influenced by factors such as metabolite concentration, duration of metabolite exposure, receptor location, host genetics, and underlying disease state. Large‐scale in vitro work has elucidated interactions between host receptors and the microbial metabolome but there is a need for future research to integrate such preclinical findings with clinical studies. The development of novel, targeted therapeutic strategies for DGBI hinges on a deeper understanding of these metabolite‐host interactions, offering exciting possibilities for the future of treatment of DGBI.

The Neuroimmune Axis and Its Therapeutic Potential for Primary Liver Cancer.

The autonomic nervous system plays an integral role in motion and sensation as well as the physiologic function of visceral organs. The nervous system additionally plays a key role in primary liver diseases. Until recently, however, the impact of nerves on cancer development, progression, and metastasis has been unappreciated. This review highlights recent advances in understanding neuroanatomical networks within solid organs and their mechanistic influence on organ function, specifically in the liver and liver cancer. We discuss the interaction between the autonomic nervous system, including sympathetic and parasympathetic nerves, and the liver. We also examine how sympathetic innervation affects metabolic functions and diseases like nonalcoholic fatty liver disease (NAFLD). We also delve into the neurobiology of the liver, the interplay between cancer and nerves, and the neural regulation of the immune response. We emphasize the influence of the neuroimmune axis in cancer progression and the potential of targeted interventions like neurolysis to improve cancer treatment outcomes, especially for hepatocellular carcinoma (HCC).

Investigating the Sole Olefin-Based Cycle in Small-Cage MCM-35-Catalyzed Methanol-to-Olefins Reactions.

Small-pore zeolites catalyze the methanol-to-olefins (MTO) reaction via a dual-cycle mechanism, encompassing both olefin- and aromatic-based cycles. Zeolite topology is crucial in determining both the catalytic pathway and the product selectivity of the MTO reaction. Herein, we investigate the mechanistic influence of MCM-35 zeolite on the MTO process. The structural properties of the as-synthesized MCM-35 catalyst, including its confined cages (6.19 Å), were characterized, confirming them as the catalytic centers. Then, the MTO reactions were systematically performed and investigated over a MCM-35 catalyst. Feeding pure methanol to the reactor yielded minimal MTO activity despite the formation of some aromatic species within the zeolite. The results suggest that the aromatic-based cycle is entirely suppressed in MCM-35, preventing the simultaneous occurrence of the olefin-based cycle. However, cofeeding a small amount of propene in methanol can obviously enhance the methanol conversion under the same studied reaction conditions. Thus, the exclusive operation of the olefin-based cycle in the MTO reaction, independent of the aromatic-based cycle, was demonstrated in MCM-35 zeolite.

Investigation of the Influence of Anti-Solvent Precipitation Parameters on the Physical Stability of Amorphous Solids.

Amorphous solids exhibit enhanced solubility and dissolution rates relative to their crystalline counterparts. However, attaining optimal bioavailability presents a challenge, primarily due to the need to maintain the physical stability of amorphous solids. Moreover, the precise manner in which precipitation parameters, including the feeding rate of the anti-solvent, agitation speed, and aging time, influence the physical stability of amorphous solids remains incompletely understood. Consequently, this study aimed to investigate these three parameters during the precipitation process of the anticancer drug, nilotinib free base. The physical stability of the resultant samples was evaluated by employing characterization techniques including powder X-ray diffraction (PXRD), differential scanning calorimetry (DSC), focused beam reflectance measurement (FBRM), and data analysis methods such as pair distribution function (PDF), reduced crystallization temperature (Rc), and principal component analysis (PCA). This study's findings indicated that amorphous solids exhibited the greatest physical stability under particular conditions, namely a feeding rate of 5 mL/min, an agitation speed of 500 rpm, and an aging time of 10 min. Furthermore, the physical stability of the amorphous solids was primarily influenced by particle size and distribution, molecular interactions, microstructure, surface area, and interfacial energy. Notably, the parameters involved in the anti-solvent precipitation process, including the feeding rate of the anti-solvent, agitation speed, and aging time, exerted a significant impact on these factors. Consequently, they directly affected the physical stability of amorphous solids. Hence, this study comprehensively elucidated the mechanistic influence of these operational parameters on the physical stability of amorphous solids during the anti-solvent precipitation process.

Mechanistic influence of discreet conformation of human telomerase linker region

Approximately 90% of malignancies have been shown to have human telomerase activity, establishing it as a viable therapeutic target. The crystal structure of telomerase was determined recently. However, the tertiary structure of the non-conserved flexible linker region remains unresolved. This study aims to predict the full-length tertiary structure of the human telomerase reverse transcriptase (hTERT). Two strategies were employed to determine the full-length structure of hTERT (1132 amino acids); iterative threading and a conjoined model generated from machine learning and energy functions. After energy minimization, Ramachandran Plot analysis, and simulation; the conjoined model was considered of better quality and stability. The linker region of the conjoined depicted two helices from approximately 275–284 and 201–211 amino acids respectively in contrast to the iterative threading model which has a single helix. Moreover, the region was observed to undergo major structural changes throughout the simulation. These changes signify its flexibility which might be due to the region having a significant number of glycine and proline and could enhance the clamping movement. Communicated by Ramaswamy H. Sarma

Cardiorespiratory fitness partially mediates the association between age and insulin resistance in a cohort enriched with risk for Alzheimer’s disease

AbstractBackgroundAge is the cardinal risk factor for Alzheimer’s disease (AD), as well as adverse cardiovascular health and insulin resistance. In the context of promoting cerebrovascular health and resilience to AD, it remains unclear whether cardiorespiratory fitness (CRF)—an important lifestyle factor reflective of habitual exercise—explains age‐related associations in insulin signaling. Understanding how these factors intersect may be crucial for designing effective lifestyle interventions to protect normative brain function in aging. This study examines whether CRF mediates the relationship between age and insulin resistance in a sample enriched with risk for AD.MethodWe included n = 1,131 cognitively unimpaired, nondiabetic participants. CRF was estimated using a validated equation that incorporates age, sex, BMI, resting heart rate, and self‐reported physical activity. The Homeostatic Model Assessment for Insulin Resistance (HOMA‐IR) quantified insulin resistance using measured plasma glucose levels in mg/dL and insulin in µIU/mL following a 12‐hour fast. Cross‐sectional linear regression models were assembled in a mediation framework to test the mechanistic influence of CRF using the IBM SPSS PROCESS Macro v3.4, where indirect effects were estimated using bootstrapping. All models controlled for age, education, Apolipoprotein E4 (APOE4) carriage, body mass index (BMI), and familial history of AD.Result71.8% of participants had family history of AD and 38.8% were APOE4 carriers. Participants had a mean age of 64.5 ± 7 years and a mean of 16 ± 3 years of education. Age was significantly associated with estimated CRF [β = ‐0.346; p<0.001] and HOMA‐IR [β = ‐0.036; p<0.01]; CRF was likewise negatively correlated with HOMA‐IR [β = ‐0.106; p<0.001]. Bootstrapping indicated that CRF was a significant partial mediator of the association between age and HOMA‐IR [β = 0.37; 95% CI: 0.19, 0.55].ConclusionAge exerts its deleterious influence on peripheral insulin resistance through the degradation of cardiorespiratory fitness among adults at risk for AD.

Using limited neural networks to assess relative mechanistic influence on shock heating in granular solids

Using limited neural networks to assess relative mechanistic influence on shock heating in granular solids

Predicting ecosystem pattern across landscapes

Predictive modelling is fundamental to ecology and essential for objective biodiversity assessment. However, while predictive biodiversity models are generally well‐developed, models for predicting patterns within (e.g. composition, structure) and among ecosystems (e.g. ecosystem identity, spatial properties) have not been adequately operationalized. We contend the scarcity of such models marks a concerning gap in the scientific community's ability to make ecosystem predictions across landscapes, and more broadly for supporting the conservation of biodiversity and ecosystem functions. We propose ecosystem spatial pattern models (ESPM) to fill this gap in modelling capacity. Under our approach to ESPM, spatial patterns of ecosystem properties are the basis for resolving ecosystem organization at local and landscape extents. Our integrative modelling framework differs from others in that it accords biotic and abiotic constituents equally, consistent with their joint mechanistic influence on ecosystem establishment and dynamics. Development of ESPM is especially timely for ecosystem assessment is undergoing a groundswell, as scientists and conservation groups propose ambitious targets for ecosystem conservation and restoration.

Human gut microbiome: A primer for the clinician.

The human host gets tremendously influenced by a genetically and phenotypically distinct and heterogeneous constellation of microbial species-the human microbiome-the gut being one of the most densely populated and characterized site for these organisms. Microbiome science has advanced rapidly, technically with respect to the analytical methods and biologically with respect to its mechanistic influence in health and disease states. A clinician conducting a microbiome study should be aware of the nuances related to microbiome research, especially with respect to the technical and biological factors that can influence the interpretation of research outcomes. Hence, this review is an attempt to detail these aspects of the human gut microbiome, with emphasis on its determinants in a healthy state.

Study of cyclic waterflooding for improving oil recovery in Lukeqin heavy oil reservoir

Long term water injection in Lukeqin heavy oil field results in a rapid increase of water cut. It is an urgent need to conduct a study on the influencing factors of heavy oil waterflooding. Experiments are used to conduct the effect of heavy oil viscosity change law on the development. Numerical simulation is used to analyze the viscosity and rhythmic conditions to clarify the production mechanism of waterflooding in heavy oil reservoirs. The feasibility study of cyclic water injection in heavy oil reservoirs is analyzed because water channeling is serious in continuous water injection, while cyclic waterflooding can slow down the injection water surge. To begin with, when using the improved cyclic waterflooding method, the working mode, reasonable number of cycles and the timing of cyclic waterflooding need to be optimized to obtain the optimal combination injection scheme. Furthermore, to investigate the mechanism of oil increase by cyclic waterfiooding, different production wells were divided into the channeling well, the seepage channel well and the normal wells according to the streamline strength, and then analyzed the mechanism influencing factor such as pressure difference and capillary force to study when cyclic waterflooding for the three types of production wells. Pressure differential are the most effective in increasing oil in the normal well, followed by the seepage channel well, and channeling well. The capillary force have the best water control effect on the channeling well, followed by the seepage channel well and the normal well. The capillary force play a dominant role in the well water control in the channeling well. The effect of increasing oil in the normal well is dominated by pressure difference. Well pressure difference and the capillary force have little to no dominant effect on the seepage channel well. The results demonstrate that cyclic waterflooding can effectively improve the recovery rate of three types of wells, with the degree of improvement from good to bad, in the order of the normal well, the channeling well and the seepage channel well. The novelty of this work lies in the combination of experimental and numerical models (mechanistic and practical) and simulation studies using three different types of wells, thus analyzing the mechanistic influence of pressure differential and capillary forces in it and concluding the dominant mechanism of action - the mechanism of development of heavy oil cyclic waterflooding is the effect of pressure difference control on production increase and capillary force control on reducing water cut.

AN OPTIMIZED MOUSE PARABIOSIS PROTOCOL FOR INVESTIGATION OF AGING AND REJUVENATIVE MECHANISMS

Abstract Surgical parabiosis is widely used to study the mechanistic influence of the circulating milieu on aging and regeneration. This powerful model presents diverse complications based on age, strain, sex, and other experimental parameters. In young (Y) and old (O) male and female C57BL6 mice, we optimized heterochronic (n=12) and isochronic (n=10 Y-Y, n=7 O-O) parabiosis. Throughout protocol development, we identified several complications including variable responses to anesthesia, external and internal dehiscence, dehydration, and weight loss. We identified and implemented solutions during surgical and post-surgical periods, including titrated anesthesia, reinforced internal sutures, topical agents to promote wound healing, and increased supplementation. By consistently adopting protocol changes we were able to significantly increase survival. Separately, we confirmed the time course of chimerism in heterochronic pairs of C57BL6 and Tg(act-EGFP)Y01Osb (eGFP) mice. Baseline and longitudinal blood samples were collected via tail vein. Flow cytometry was used to visualize GFP-positive cells from the parabiont blood sample. Through blood analysis we found that chimerism occurs as early as 2 days post-operatively. Exploitation of our optimized protocol may enable others to efficiently adopt the surgical parabiosis model to dynamically study mechanisms of aging and regeneration.

Planktonic functional diversity changes in synchrony with lake ecosystem state.

Managing ecosystems to effectively preserve function and services requires reliable tools that can infer changes in the stability and dynamics of a system. Conceptually, functional diversity (FD) appears as a sensitive and viable monitoring metric stemming from suggestions that FD is a universally important measure of biodiversity and has a mechanistic influence on ecological processes. It is however unclear whether changes in FD consistently occur prior to state responses or vice versa, with no current work on the temporal relationship between FD and state to support a transition towards trait-based indicators. There is consequently a knowledge gap regarding when functioning changes relative to biodiversity change and where FD change falls in that sequence. We therefore examine the lagged relationship between planktonic FD and abundance-based metrics of system state (e.g. biomass) across five highly monitored lake communities using both correlation and cutting edge non-linear empirical dynamic modelling approaches. Overall, phytoplankton and zooplankton FD display synchrony with lake state but each lake is idiosyncratic in the strength of relationship. It is therefore unlikely that changes in plankton FD are identifiable before changes in more easily collected abundance metrics. These results highlight the power of empirical dynamic modelling in disentangling time lagged relationships in complex multivariate ecosystems, but suggest that FD cannot be generically viable as an early indicator. Individual lakes therefore require consideration of their specific context and any interpretation of FD across systems requires caution. However, FD still retains value as an alternative state measure or a trait representation of biodiversity when considered at the system level.

ODP610 Assessing ABO and Rh Blood Group as a COVID-19 Risk Factor

Abstract Objective Precision medicine harnesses the N-of-1 approach to detect, predict, reverse, and stop progression of disorders of aging through longitudinal observation of biomarkers with respect to genetic makeup. ABO and Rh blood group are two genetic markers that inform risk for dysglycemia, hypercortisolemia, and hypothyroidism, among others. Early in the pandemic, scientists sought to understand whether ABO and Rh blood group was also a risk factor for COVID-19 susceptibility. If proven true, the presence of mutual disease mechanisms between COVID-19 and diseases of the endocrine system may also exist. In the present study, ABO and Rh blood group was examined as a risk factor for COVID-19 susceptibility. Methods Inclusion criteria for this retrospective observational study were an active patient status in December 2019 and a record of ABO and Rh blood group on Quest Laboratory's online portal. ABO and Rh blood groups were compiled and analyzed using chi-square test, odds ratio (OR), and 95% confidence interval (CI) for association to COVID-19 susceptibility. Results 136 adult patients met inclusion criteria for this study, 44 of whom tested positive for COVID-19. The cohort was 30% female, ranging in age from 20-78 years (mean=54 years). In the COVID-19 patients, the respective frequencies of A, B, O, and AB phenotypes were 27.27%, 25. 00%, 38.64%, and 9. 09%. Of these patients, 88.64% were Rh positive. Blood group A (OR = 0.70; CI, 0.32-1.5; p > . 05), group B (OR = 1.58; CI, 0.66-3.78; p > . 05), group O (OR = 0.78; CI, 0.38-1.63, p > . 05), and group AB (OR = 2.97; CI, 0.63-13.9; p > . 05) were not significantly associated with COVID-19 susceptibility. Rh factor was also found to be an insignificant variable (OR = 2. 03; CI, 0.70-5.85; p > . 05). Discussion These findings support the growing body of literature dissociating ABO and Rh blood group from COVID-19 susceptibility. As such, it could be advised that ABO and Rh blood group is not factored into risk stratification for COVID-19 susceptibility in contrast to particular endocrine disorders. A significant limitation of this analysis is that ABO genotypes were unknown. A recent genome-wide association study confirmed a potential involvement of ABO blood group in COVID-19 clinical presentation1. Therefore, deeper analysis may also reveal the mechanistic influence of ABO genotypes on COVID-19 susceptibility, such as the type and quantity of ABO-antibodies in circulation. Further investigation is warranted to determine whether biomarkers known to inform risk of endocrine disorders also influence COVID-19 susceptibility. Understanding what governs this relationship would allow endocrinologists to develop targeted interventions to optimize an individual's health trajectory.

Correlating Kinetics to Cyclability Reveals Thermodynamic Origin of Lithium Anode Morphology in Liquid Electrolytes.

The rechargeability of lithium metal batteries strongly depends on the electrolyte. The uniformity of the electroplated Li anode morphology underlies this dependence, so understanding the main drivers of uniform plating is critical for further electrolyte discovery. Here, we correlate electroplating kinetics with cyclability across several classes of electrolytes to reveal the mechanistic influence electrolytes have on morphology. Fast charge-transfer kinetics at fresh Li-electrolyte interfaces correlate well with uniform morphology and cyclability, whereas the resistance of Li+ transport through the solid electrolyte interphase (SEI) weakly correlates with cyclability. These trends contrast with the conventional thought that Li+ transport through the electrolyte or SEI is the main driver of morphological differences between classes of electrolytes. Relating these trends to Li+ solvation, Li nucleation, and the charge-transfer mechanism instead suggests that the Li/Li+ equilibrium potential and the surface energy─thermodynamic factors modulated by the strength of Li+ solvation─underlie electrolyte-dependent trends of Li morphology. Overall, this work provides an insight for discovering functional electrolytes, tuning kinetics in batteries, and explaining why weakly solvating fluorinated electrolytes favor uniform Li plating.

New mechanistic insights into the RAS-SIN1 interaction at the membrane

Stress-activated MAP kinase-interacting protein 1 (SIN1) is a central member of the mTORC2 complex that contains an N-terminal domain (NTD), a conserved region in the middle (CRIM), a RAS-binding domain (RBD), and a pleckstrin homology domain. Recent studies provided valuable structural and functional insights into the interactions of SIN1 and the RAS-binding domain of RAS proteins. However, the mechanism for a reciprocal interaction of the RBD-PH tandem with RAS proteins and the membrane as an upstream event to spatiotemporal mTORC2 regulation is not clear. The biochemical assays in this study led to the following results: 1) all classical RAS paralogs, including HRAS, KRAS4A, KRAS4B, and NRAS, can bind to SIN1-RBD in biophysical and SIN1 full length (FL) in cell biology experiments; 2) the SIN1-PH domain modulates interactions with various types of membrane phosphoinositides and constantly maintains a pool of SIN1 at the membrane; and 3) a KRAS4A-dependent decrease in membrane binding of the SIN1-RBD-PH tandem was observed, suggesting for the first time a mechanistic influence of KRAS4A on SIN1 membrane association. Our study strengthens the current mechanistic understanding of SIN1-RAS interaction and suggests membrane interaction as a key event in the control of mTORC2-dependent and mTORC2-independent SIN1 function.

Mechanistic Influence of Polymer Species, Molecular Weight, and Functionalization on Mucin–Polymer Binding Interactions

Improving both systemic and localized delivery of pharmaceuticals by optimizing the delivery vehicle properties is a major area of ongoing research. One such engineered property is mucoadhesion, wherein polymers are tailored to optimize polymer–mucin interactions to increase drug residence times and uptake efficiency. There are many examples of mucoadhesion as a drug delivery modality in the literature, yet the underlying mechanisms remain poorly understood, and its clinical translation is limited. Within this mechanistic lens, we found that nuclear magnetic resonance (NMR) is a powerful tool for uncovering polymer–mucin interactions. We investigated the influence of several polymer design parameters including molecular weight and repeating unit functionalization on mucoadhesion and uncovered several key findings in terms of the influence of these design parameters on polymer–protein intermacromolecular interactions. First, we probed individual polymer species including hydroxypropyl cellulose (HPC), hydroxypropyl methyl cellulose (HPMC), and carboxymethyl cellulose (CMC) and identified that molecular-weight-driven changes in the polymer–mucin interaction fingerprint result from perturbations in the polymer-specific binding complex. Specifically, we found that CMC and HPC complexes spatially reorient with increasing molecular weight, whereas HPMC complexes do not. We expanded this comparison to include functional group changes to the polymer repeating unit, where we showed that the addition of methyl groups to cellulose derivatives induces a unique binding fingerprint. Next, we expanded the mucoadhesive polymer series to include CMC, HPC, HPMC, poly(acrylic acid) (PAA), and poly((2-dimethylamino)ethyl methacrylate) (PDMAEMA) and observed a negative correlation between molecular weight and mucoadhesive interaction intimacy, highlighting the differences across polymer species. Finally, we explored polymers that lack mucin interactions to illustrate the limitations of polymer composition and molecular weight as predictors of mucoadhesive fate. Altogether, these experiments were used to report on mucoadhesive interactions at the atomic level and revealed that polymer design is dependent on both the availability and accessibility of mucoadhesive functional groups.

Investigation of Glycine Polymorphic Transformation by In Situ ATR-FTIR and FT-Raman Spectroscopy

The solution-mediated phase transformation of α-form to γ-form glycine, including dissolution of metastable α-form, nucleation, and growth of stable γ-form during polymorphic transformation, was investigated using in situ attenuated total-reflectance Fourier transform infrared spectroscopy (ATR-FTIR) and Fourier transform Raman spectroscopy (FT-Raman). The mechanistic influence of operating parameters such as agitation speed, crystallization temperature, α-form seed concentration, and NaCl concentration on polymorphic phase transformation was examined. When the agitation speed, crystallization temperature, and NaCl concentration were increased, the polymorphic transformation process was improved due to the promotion of nucleation and growth of stable γ-form, in addition to the promotion of dissolution of metastable α-form. Moreover, the time to induce γ-form nucleation and complete conversion of α-form to γ-form was also reduced with increasing α-form seed concentration.

Nanocatalytic Interface to Decode the Phytovolatile Language for Latent Crop Diagnosis in Future Farms.

Crop diseases cause the release of volatiles. Here, the use of an SnO2-based chemoresistive sensor for early diagnosis has been attempted. Ionone is one of the signature volatiles released by the enzymatic and nonenzymatic cleavage of carotene at the latent stage of some biotic stresses. To our knowledge, this is the first attempt at sensing volatiles with multiple oxidation sites, i.e., ionone (4 oxidation sites), from the phytovolatile library, to derive stronger signals at minimum concentrations. Further, the sensitivity was enhanced on an interdigitated electrode by the addition of platinum as the dopant for a favorable space charge layer and for surface island formation for reactive interface sites. The mechanistic influence of oxygen vacancy formation was studied through detailed density functional theory (DFT) calculations and reactive oxygen-assisted enhanced binding through X-ray photoelectron spectroscopy (XPS) analysis.