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  • Background/Objectives: Molecular docking and molecular dynamics are accurate but computationally expensive, so the compounds entering them must be chosen well. The present study proposes CADT, a confidence-gated affinity–ADME-T docking-triage cascade that decides which compounds are worth docking. Methods: The gate combines an ensemble estimate of drug–target affinity with its epistemic uncertainty and an applicability-domain check. Predicted absorption, distribution, metabolism, excretion, and toxicity (ADME-T) developability is added as a soft flag. All components were trained on openly licensed Therapeutics Data Commons data. Ranking was assessed on the DAVIS and KIBA kinase panels and on BindingDB Kd, under three split protocols over five seeds. The routing decision was then examined against molecular docking, in which 407 compound–target pairs were docked into six withheld kinases. Results: A Morgan-fingerprint gradient-boosting model reached a concordance index of 0.866±0.006, with 0.813 for unseen targets and 0.720 for unseen drugs. Across eight ADME-T endpoints, the area under the ROC curve ranged from 0.65 to 0.91. On the cold-target split the cascade reduced the compounds sent to docking by 86% while retaining 61% of the true strong binders. Docking measured that reduction at 85%, and at an equal budget, the gate enriched true binders more than the docking score itself. Conclusions: A transparent pre-screen can prioritise compounds ahead of structure-based calculation at a fraction of its cost. However, the uncertainty and applicability-domain terms act as an abstention mechanism rather than an accuracy gain, and that abstention is not free.

    Pharmaceuticals

    11 September 2026

  • Ni-based catalysts supported on kaolin were synthesized via solution combustion synthesis and promoted with Fe and/or La to investigate their catalytic performance in CO2 methanation. Catalytic tests showed that Fe significantly improved CO2 conversion from approximately 52% for Ni-catalyst to 83% for Ni2.5Fe_SCS at 300 °C. However, the promotional effect of Fe showed only a weak dependence on its loading, with Ni modification already being achieved at the lowest Fe content. Among all investigated catalysts, the La-promoted sample exhibited the highest CO2 conversion (85% at 300 °C), owing to the formation of highly dispersed Ni0 crystallites, enhanced surface basicity, and strong metal–support interactions. These interactions also effectively suppressed particle sintering during prolonged stability tests. In contrast, simultaneous promotion with Fe and La did not provide additional catalytic enhancement, indicating that the effects of both promoters were not simply additive.

    Molecules

    11 September 2026

  • Luminescence Enhancement of an Indium(III) Complex Through Introducing an Electron-Donating Group in (1H-Pyrazol-1-yl)pyridazine

    • Evgeniia Sergeevna Sedykh,
    • Nikita Vasilievich Naletov and
    • Artem Leonidovich Gushchin
    • + 9 authors

    New deep-blue-emitting materials are crucial for Organic Light-Emitting Diode (OLED) technology, as iridium-based blue emitters often suffer from degradation and inadequate colour purity. Indium(III) complexes offer an alternative, since the d10 configuration of In3+ precludes metal-centred transitions, and emission arises from ligand-centred states via the chelation-enhanced fluorescence (CHEF) effect. We previously reported complexes 1 ([In(LH)(H2O)Cl3]) and 2 ([In(LMe)2Cl2][InCl4]), which exhibited excitation-dependent emission, and the electronic transitions were assigned as ILCT for 1 and mixed ILCT/LL’CT for 2. Herein, we present a new complex, complex 3, i.e., [In(LMorph)2Cl2][InCl4], where LMorph contains electron-donating morpholine substituents, in contrast to the acceptor chloride group in LH and LMe. Complex 3 was characterised by elemental CHN analysis, infrared spectroscopy (IR), nuclear magnetic resonance spectroscopy (NMR), ultraviolet–visible spectroscopy (UV-Vis), single-crystal X-ray diffraction analysis (SC-XRD), and photoluminescence. The ionic structure of 3 is analogous to 2, with a cis-octahedral [In(LMorph)2Cl2]+ cation and tetrahedral [InCl4] anion. The UV-Vis spectrum of 3 shows a significant bathochromic shift relative to 1 and 2 which is attributable to the morpholine group. TD-DFT calculations were employed to assign the electronic transitions. The introduction of a morpholino group into the pyridazine ring resulted in significant changes to the solid-state photoluminescence properties of the indium complex: (i) the emission maximum shifted to the red region (CIE 1931 coordinates: 0.1725, 0.2487), (ii) the lifetime increased by an order of magnitude, and (iii) the quantum yield rose to 15%. This work highlights that substituent variation on the pyrazolyl–pyridazine scaffold provides a versatile route to tune the structural and photophysical properties of indium(III) complexes.

    Molecules

    11 September 2026

  • Anodal transcranial direct current stimulation (tDCS) over the primary motor cortex (M1) has been proposed as an ergogenic aid. Prior reviews pooled heterogeneous outcomes, and none isolated explosive lower-limb power or separated jump output from force–time kinetics. We asked whether anodal M1 tDCS versus sham improves explosive lower-limb power in healthy active adults, analysing these two outcome categories separately. Following PRISMA 2020 (PROSPERO CRD420261438841), four databases were searched up to 3 July 2026 for randomised and crossover trials. Random-effects meta-analyses (REML with Hartung–Knapp) pooled Hedges’ g by category; risk of bias (RoB 2) and certainty (GRADE) were assessed. Seven trials were included. tDCS did not significantly improve jump output (k = 6; g = 0.44, 95% CI −0.05 to 0.92; p = 0.069; I2 = 19%). The kinetics estimate was moderate (k = 3; g = 0.67, 95% CI 0.53 to 0.81; I2 = 0%) but did not survive a conservative small-sample correction (95% CI −0.23 to 1.57; p = 0.086). Certainty was very low throughout. Including a further trial whose comparator was a no-intervention control made both estimates significant, indicating a fragile evidence base. Current evidence does not establish an ergogenic benefit; adequately powered, pre-registered trials are needed.

    Sports

    11 September 2026

  • Recent lattice studies have revealed that the color flux tube between static quark–anti-quark pairs exhibits an excess entanglement entropy (flux-tube entanglement entropy, FTE2) that scales linearly with the quark separation L. In this paper, we demonstrate sim-ilar behavior in a string-net model based on SU(2)k fusion categories, where the nontriv-ial object j = 1/2 (analogous to color charge) cannot exist in isolation due to the fusion rules, naturally exhibiting “confinement”. We compute the entanglement entropy of the flux tube connecting two j = 1/2 objects using the microcanonical (equal-weight) pre-scription S(R) = ln(dim(Hom(R))) and find an entropy density σk = ln d1/2 = ln(2cos\({\frac{\pi}{k+2}}\)). For 𝑘 = 3, the category reduces to the Fibonacci case, yielding an entropy density σ3 = ln φ ≈ 0.4812 (φ is the golden ratio), which is qualitatively comparable in magnitude to the scale inferred from lattice studies and the entropy surface mechanism. Under a thermalization assumption for the fusion-channel degrees of freedom, minimiz-ing the free energy F = (𝒥 \({-}\) Tσk)L yields a confinement–deconfinement transition at (Tc = 𝒥/σk), which is first-order-like (tension sign reversal) rather than a continuous crit-ical transition. The parameter k offers a tunable knob, making the SU(2)k family a com-putable laboratory for entropic confinement. The predicted entropy-density jump can be directly tested in quantum simulator platforms (e.g., Rydberg arrays or superconducting circuits) that realize Fibonacci anyonic models.

    Entropy

    11 September 2026

  • Beet necrotic yellow vein virus (BNYVV), the causal agent of rhizomania, is a major threat to sugar beet production worldwide. In Serbia, during a three-year monitoring period (2023–2025) conducted across 31 localities (72 fields) representing the main sugar beet production areas, BNYVV was detected in 26.5% of analyzed samples. Of the 88 ELISA-positive samples, 60 originated from cultivars carrying the Rz1, whereas 28 were obtained from cultivars carrying the combined Rz1+Rz2 resistance genes. This study presents the first analysis of the genetic diversity and population structure of BNYVV in Serbia, based on P25 tetrad variability and RNA5 sequence analysis. Sequence analysis revealed five distinct P25 tetrad variants, with the ALHG tetrad being the most prevalent. Moreover, in one locality in the Bačka region, the VHHG variant, previously associated with Rz1-resistance-breaking isolates, was also detected. Phylogenetic analysis based on p25 sequences grouped all Serbian isolates within the P25-I cluster, corresponding to the A-type virus population, and showed close relationship with European isolates, particularly those from Italy. Importantly, RNA5 was detected in all selected isolates, representing the first report of RNA5 in Serbia. The results of the p26sequence analysis revealed high conservation among Serbian isolates, which clustered within the J-type in phylogenetic analysis. Overall, the results demonstrate that Serbian BNYVV populations are genetically diverse and include variants associated with Rz1-resistance breaking. These findings highlight the need for continuous molecular surveillance to monitor the emergence and spread of virulent strains and to support effective disease management strategies in sugar beet cultivation.

    Microorganisms

    11 September 2026

  • Carbendazim (CBDZ) is widely used for the prevention and control of fungal diseases in agricultural crops. Its extensive and recurrent application may lead to the occurrence of residues in agricultural environments and increase the potential for contamination of aquatic systems. In this study, analytical diafiltration was used to investigate the transport and interfacial association of CBDZ with regenerated cellulose membranes (CELms) rather than to evaluate size-exclusion-based pesticide removal. Continuous diafiltration experiments using the washing mode were performed with an 8.0 ppm CBDZ solution and 10 kDa of CELm at different pH values (3.0–9.0), while permeate flow rate and CBDZ concentration in successive permeate fractions were monitored throughout the process. CBDZ membrane retention (Rm) ranged from (7.4 ± 3.3%) at pH 9.0 to (23.2 ± 2.0%) at pH 3.0, with a maximum membrane-associated amount (\(R_m^{max}\) ) of 478 μg CBDZ per g of CELm. The pH dependence of Rm was accurately described by Rm = 24.9740 + 0.1814 ph − 0.2375 ph2 for 3.0 ≤ pH ≤ 9.0 (r2 = 0.999). The results are consistent with adsorption-mediated interfacial association, mainly involving physicochemical interactions with hydroxyl- and carboxyl-containing functionalities of CELms, while electrostatic interactions contributed less than 3.0% within the pH range of 6.0–7.0. The diafiltration profiles were successfully described by the ExDM–IDZ model. The parameters governing the shape of the retention profile were Rm, associated with the horizontal asymptote, and (j), which describes the decay rate and was related to the evolution of CBDZ concentration and its apparent residence behavior during diafiltration. Overall, these results demonstrate that analytical diafiltration provides a useful framework for investigating the transport, partitioning, and adsorption-mediated interactions of low-molecular-weight, water-soluble pesticides with membrane materials.

    Sci

    11 September 2026

  • In networked control systems, power line communication technique is used to transfer data over existing energy cables. A soft fault degrades the integrity of the signal without impacting the system behaviour. This work develops a transferometry-based method for detecting, localising, and estimating the severity of two simultaneous soft faults in such cables. A soft fault is modelled as a series impedance, and the transmission coefficient (TC) is computed from the ABCD cascade model of the cable. We prove that, under unmatched terminations, the time-domain TC exhibits a five-pulse signature whose peak positions and amplitudes map directly to the two fault positions and their individual severities. A residual signal constructed from this signature yields closed-form estimators for the fault positions and their combined severities; individual fault severities require a bounded nonlinear least-square fit, valid for approximately symmetric, known terminations. We further show that the method extends to n simultaneous soft faults under a combined soft-fault condition, with the -pulse pattern verified in simulation for . A Monte Carlo study using correct localisation probability as the detection criterion establishes a practical SNR threshold of 25 dB; fault-separation resolvability shows intermittent, sidelobe-driven degradation rather than a single threshold. Simulations on a measured 24 AWG cable, extrapolated beyond its characterised band, confirm reliable two-fault diagnosis under additive noise, with reliable multi-fault performance demonstrated for , presented as a numerical proof of concept on this extrapolated cable model rather than a characterisation confirmed by measurement over the full simulated band.

    Eng

    11 September 2026

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The Ketogenic Diet in the Prevention and Treatment of Hypertension (HTN)

  • Łukasz Rodzeń,
  • Damian Dyńka and
  • Serafino Fazio
  • + 8 authors

Hypertension (HTN) is one of the greatest public health challenges of the 21st century. Its prevalence has reached alarming levels in recent decades. The search for effective prevention and treatment strategies includes lifestyle choices, such as dietary interventions. Although not applicable to everyone, particularly interesting in this context is the ketogenic diet (KD), known to clinicians and also applied in epilepsy treatment for over a century. Its possible beneficial effects are increasingly often reported in many other conditions, including HTN. The aim of the present study is to analyse the effect of a KD on blood pressure, and the mechanisms that may modulate that effect. Based on the available literature, key potential pathways of the influence of a KD on blood pressure regulation have been identified: (1) reduced body weight; (2) reduced visceral adipose tissue; (3) improved insulin sensitivity; (4) improved water and electrolyte balance; and (5) anti-inflammatory effect. Meta-analyses and randomised controlled trials consistently indicate that ketogenic dietary interventions are associated with reductions in blood pressure, although the magnitude of the effect varies considerably depending on the ketogenic diet model, study population, and comparator. In light of these observations, it has been found that in patients undergoing pharmacological treatment, it may be necessary to appropriately reduce antihypertensive medication dosage in advance. To maximise the hypotensive effect of a KD, the need to ensure an adequate supply of potassium, magnesium, and high-quality products, as well as proper hydration has been emphasised. Further studies are needed, with the effect of a KD on systolic and diastolic blood pressure as the primary endpoint, taking into account the role of the qualitative composition of the diet in the observed effects.

Biomedicines

31 July 2026

19,439 Views
Distinguishing diet quality in achieving the desired state of nutritional ketosis. Created in BioRender. https://BioRender.com/7om6bxq (accessed on 30 June 2026).

Insulin resistance (IR) represents one of the most pressing problems in contemporary public health. Its estimated global prevalence ranges from approximately 15.5% to over 61%, depending on the population studied, the diagnostic criteria applied, and the method used for its assessment. Despite the scale of the problem, IR remains underrecognized and lacks formal definition as a distinct disease entity, even as a growing number of clinicians and researchers worldwide describe it as such. Its asymptomatic or mildly symptomatic course allows it to remain undetected for years, during which it makes a significant contribution to the development of type 2 diabetes, cardiovascular disease (CVD) and metabolic dysfunction-associated steatotic liver disease (MASLD, formerly NAFLD), and has been increasingly linked to cellular senescence, certain cancers, neuropsychiatric disorders, and other metabolic conditions. The aim of this review was to summarize current knowledge on the pathophysiology, diagnosis, and clinical implications of insulin resistance, to discuss current challenges in its diagnosis, and to evaluate whether available scientific evidence supports its recognition as a distinct disease entity. This narrative review is based on clinical, epidemiological, and mechanistic data retrieved from PubMed and Google Scholar. Meta-analyses, systematic reviews, clinical and observational studies, clinical guidelines, and expert position statements were analyzed. Animal studies were excluded to maintain a focus on human public health implications. The diagnostic gold standard—the hyperinsulinemic-euglycemic clamp—was discussed, along with surrogate methods used in clinical practice (HOMA-IR, OGTT with insulin measurements, the TyG index, and the TG/HDL-C ratio). Factors potentially contributing to the pathogenesis of IR were examined, including hyperinsulinemia (HI), high-carbohydrate diets, inflammation, stress, and sleep disturbances, as well as conditions in which IR occurs physiologically. The findings indicate that current evidence supports the need for a clearer clinical and diagnostic framework for insulin resistance and suggest that its recognition as a distinct disease entity could facilitate earlier diagnosis, improve the standardization of clinical management, and enable earlier metabolic intervention. Given the steadily rising prevalence of metabolic disease, systemic efforts directed at the early identification and treatment of IR may be a key component of strategies aimed at reducing the population-level burden of metabolic disease and its negative consequences.

Nutrients

14 August 2026

14,182 Views
Physiological insulin resistance.
  • Communication
  • Open Access

Background/objectives: Melatonin has circadian, antioxidant, mitochondrial, and immunomodulatory functions, but human data linking relative melatonergic status to coordinated systemic biomarker burden remain limited. We examined this association and tested its internal robustness to alternative score construction, outlier handling, and missing-data assumptions. Methods: We performed an adult-only cross-sectional secondary analysis of a deidentified biomarker dataset. Of 322 source records, six participants younger than 18 years and two records without age were excluded, yielding 314 adults. Plasma melatonin and 24 h urinary aMT6s were converted to within-cohort rank percentiles and averaged to form a relative melatonergic-axis score. Equal-weight z-score composites represented inflammation, oxidative damage, antioxidant deficit, and biological aging/biological injury; their mean was the integrated systemic biomarker-burden score. Analyses included Kruskal–Wallis tests; Spearman correlations with bootstrap confidence intervals; standardized regression adjusted for age, sex, and BMI; robust covariance estimates; principal component analysis (PCA), winsorization, leave-one-domain/marker-out analyses, and missing-BMI sensitivity models. Results: The lower, intermediate, and higher relative melatonergic tertiles included 105, 104, and 105 adults, respectively. The melatonergic-axis score correlated inversely with integrated systemic burden (Spearman ρ = −0.944; 5000-resample bootstrap 95% CI, −0.953 to −0.931; p < 0.001). In age-, sex-, and BMI-adjusted complete-case models (N = 250), each 1 SD higher axis score was associated with a 0.95 SD lower integrated burden (β = −0.949; HC3 95% CI, −0.983 to −0.915; p < 0.001). Results were similar for separate plasma melatonin and aMT6s models, winsorized composites, a PCA-derived score (PC1 explained 75.5% of marker variance; ρ = −0.947), leave-one-domain/marker-out analyses, and missing-BMI sensitivity models. Conclusions: Lower relative melatonergic status was associated with a highly coordinated adverse systemic biomarker pattern. The exceptional magnitude of the association requires audit of primary assay provenance and independent external replication. Because cancer, microbiome, and liquid biopsy endpoints were not measured, oncology implications remain untested prospective hypotheses.

Cancers

12 August 2026

14,381 Views
Study design, measured variables, analytic workflow, and interpretation boundary. Solid arrows denote derivation steps. The bidirectional symbol identifies the cross-sectional association tested; no causal direction is inferred. Variables listed in the interpretation-boundary box were not measured in the source dataset.

Naturally derived bioactive compounds that modulate aging-associated mechanisms have attracted growing research interest, yet few reviews examine how such compounds might act together. This narrative review examines four mechanistically distinct compounds, namely spermidine, fisetin, berberine, and urolithin A, as emerging functional food ingredients with scientifically supported effects on key hallmarks of human aging. Spermidine, a dietary polyamine from wheat germ and fermented foods, induces autophagy through EP300 inhibition and is associated with reduced all-cause mortality in prospective studies. Fisetin, a flavonoid from strawberries and apples, exerts senolytic activity by selectively eliminating senescent cells via PI3K/AKT and Bcl-2/Bcl-xL inhibition, with emerging clinical evidence. Berberine, an isoquinoline alkaloid from Berberis species, modulates metabolic dysfunction via AMP-activated protein kinase (AMPK) activation and reshapes gut microbiota composition through direct high intraluminal exposure, with the most extensive clinical dataset of the four compounds. Urolithin A, a gut microbiome-derived postbiotic from ellagitannins in pomegranates and nuts, induces mitophagy via PINK1/Parkin and has been evaluated in a growing number of registered human clinical trials. Together, the four compounds primarily target distinct but complementary aging-associated pathways (autophagy, senolysis, metabolic regulation, mitophagy), suggesting rational potential for combined functional food formulations. Limited direct evidence for their combined use and the need for dedicated co-administration studies are discussed, alongside bioavailability, safety, and regulatory considerations.

Nutrients

3 August 2026

11,216 Views
Mechanistic complementarity of the four reviewed bioactive compounds. This is an original, author-generated conceptual schematic. Each panel illustrates the primary signaling cascade for spermidine (A), fisetin (B), berberine (C), and urolithin A (D), each summarized from the single-compound evidence cited in the corresponding section of the main text, converging on shared downstream outcomes relevant to healthy aging. Abbreviations are as defined in the main text and the Abbreviations list.

Editor's Choice Articles

The reserves of non-refractory gold ores are continuously declining, while refractory gold ore deposits remain abundant. Therefore, developing more efficient technologies to utilize these ores is crucial for gold-related industries. Oxidation roasting is commonly used to eliminate the adverse effects of sulfur- and arsenic-bearing minerals, but its underlying mechanisms are still not fully understood. To address this gap, the present study investigated the effect of oxidation roasting on gold leaching rate. A combination of roasting–leaching experiments, X-ray diffraction (XRD), pore structure analysis, and scanning electron microscopy (SEM) was employed to examine the evolution of surface pore structures and their impact on leaching performance. The gold leaching rate of the raw material was only 10.13%, due to the encapsulation of gold particles within pyrite. Under optimal roasting conditions—600 °C for 2 h—the gold leaching rate reached a peak value of 88.06%. At this temperature, the dense surface of pyrite decomposed, forming a highly porous structure that allowed the JinChan lixiviant to fully contact the gold particles. However, increasing the roasting temperature or extending the roasting time promoted the formation of CaSO4 and Mg2SiO4. These newly formed phases may have contributed to pore blockage on the hematite surface, which could explain the more compact structure and the subsequent decline in gold extraction. Based on these observations, a possible mechanism is proposed linking pore structure evolution and phase transformation during roasting to the leaching performance.

Minerals

31 August 2026

Mineral composition maps of gold flotation concentrate determined by AMICS.

Cloud platforms must hold utilisation and latency targets while demand shifts and attack traffic arrive together. Reactive threshold scaling meets neither pressure, and an autoscaler blind to attacks funds the load an adversary requested. Recent work shows adversaries can drive this loop into economic denial of sustainability, so the controller sits inside the attack surface. No prior orchestrator couples workload forecasting, unsupervised anomaly detection and learned scaling in one loop, and none reports multi-seed significance testing. This article extends SARO, presented at IMCOM 2026, to close that gap. We formalise the problem as a Markov decision process with a corrected multi-objective reward, and replace the tabular agent with SARO-DQN, a continuous-state controller trained by three-step Double Q-learning. Across ten held-out days and five seeds, SARO-DQN reaches the highest composite reward (200.1 ± 16.5) and the highest utilisation (68.2%) against eight alternatives, and every reward difference is significant under Welch tests (p<0.05). Ablations attribute 23.6 reward points to the detector ( ) and 8.9 to the forecast (p=0.016). On UNSW-NB15, the detector attains an AUC of 0.888. Two principles follow. Detectors must consume exogenous traffic-shape signals, and detector and policy must be trained as a coupled system.

Electronics

31 August 2026

SARO architecture, a closed orchestration loop over five layers. The monitoring layer emits a utilisation series to the forecasting layer and a traffic-shape vector to the detection layer, and passes the raw fleet state directly to the decision layer. The decision layer consumes the utilisation state, the forecast 
  
    
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Semantic segmentation assigns a semantic label to every pixel in an image, which is a fundamental task in computer vision with applications such as autonomous driving and medical imaging. Existing segmentation methods, whether CNN-based or transformer-based, both have limitations: the former are constrained by fixed dilation rates that hinder scale adaptation, while the latter suffer from quadratic computational complexity that prevents efficient deployment. To address these issues, this paper proposes SA-DeepLab, a CNN framework that combines a switchable atrous spatial pyramid pooling (SA-ASPP) module and a channel shuffle operation in the decoder. SA-ASPP employs a learnable spatial switch map to dynamically fuse two atrous convolutions with different dilation rates, enabling adaptive receptive field selection at each pixel, while a depthwise separable atrous convolution replaces the most dilated branch to reduce computational overhead. The channel shuffle operation rearranges feature channels across groups to encourage cross-group information exchange without extra parameters. Experiments on Pascal VOC 2012 and Cityscapes demonstrate that SA-DeepLab achieves competitive mIoU (86.30% and 81.78%) with a lightweight framework, outperforming both CNN-based and transformer-based competitors in the accuracy-efficiency tradeoff.

Electronics

28 August 2026

Comparison between (a) DetectoRS layer-level global switch and (b) our pixel-wise spatial SAConv with dual global context modules. ⊙ denotes element-wise multiplication.

The development of bio-based plasticizers is increasingly important due to regulatory restrictions on several phthalates, growing concerns over plasticizer migration and toxicity, and the demand for renewable materials. In this work, eleven novel furfural-derived bio-based plasticizers were synthesized and evaluated in polylactic acid (PLA) at 15 wt% loading via melt compounding. Their influence on the thermomechanical properties of PLA was investigated, enabling the establishment of structure–property relationships. Hansen Solubility Parameters (HSPs) were used to predict plasticizer–PLA compatibility and correlate theoretical predictions with experimental performance. All developed bio-plasticizers exhibited onset degradation temperatures exceeding 225 °C, ensuring suitability for melt processing with PLA. Increasing the alkyl chain length in the diester bio-plasticizers reduced plasticization efficiency, consistent with lower predicted compatibility based on HSP analysis. The most promising candidates, namely 7-oxabicyclo[2.2.1]heptane-2,3-dicarboxylic acid 2,3-dihexyl ester (F/MA-C6), 7-oxabicyclo[2.2.1]heptane-2,3-dicarboxylic acid 2,3-dioctyl ester (F/MA-C8), and 1,1′-[oxybis(1-methyl-2,1-ethanediyl)]bistetrahydrofuroate (Bis-THF), substantially enhanced polymer chain mobility, reducing the glass transition temperature to approximately 28–35 °C compared to 60 °C for neat PLA. These bio-plasticizers also demonstrated outstanding plasticizing efficiency, achieving elongations at break exceeding 245%, compared with 4.5% for neat PLA. These results demonstrate that furfural-derived plasticizers are promising sustainable alternatives to conventional fossil-based plasticizers for flexible PLA applications.

Polymers

26 August 2026

Chemical structures of the developed bio-based bicyclic oxa-bridged diester plasticizers (F/MA-C6, F/MA-C8, MF/MA-C8, MF/MA-C12, MF/MA-C16, DMF/MA-C8, 3-C4-DA, 3-C8-DA, and 3-C12-DA) and common phthalate plasticizers (DEHP and DINP).