Study design: think 'scientific value' not 'p-values'.

Statistically based experimental designs have been available for over a century. However, many preclinical researchers are completely unaware of these methods, and the success of experiments is usually equated only with 'p < 0.05'. By contrast, a well-thought-out experimental design strategy provides data with evidentiary and scientific value. A value-based strategy requires implementation of statistical design principles coupled with basic project management techniques. This article outlines the three phases of a value-based design strategy: proper framing of the research question, statistically based operationalisation through careful selection and structuring of appropriate inputs, and incorporation of methods that minimise bias and process variation. Appropriate study design increases study validity and the evidentiary strength of the results, reduces animal numbers, and reduces waste from noninformative experiments. Statistically based experimental design is thus a key component of the 'Reduction' pillar of the 3R (Replacement, Reduction, Refinement) principles for ethical animal research.

Methods for applying blinding and randomisation in animal experiments.

Blinding and randomisation are important methods for increasing the robustness of pre-clinical studies, as incomplete or improper implementation thereof is recognised as a source of bias. Randomisation ensures that any known and unknown covariates introducing bias are randomly distributed over the experimental groups. Thereby, differences between the experimental groups that might otherwise have contributed to false positive or -negative results are diminished. Methods for randomisation range from simple randomisation (e.g. rolling a dice) to advanced randomisation strategies involving the use of specialised software. Blinding on the other hand ensures that researchers are unaware of group allocation during the preparation, execution and acquisition and/or the analysis of the data. This minimises the risk of unintentional influences resulting in bias. Methods for blinding require strong protocols and a team approach. In this review, we outline methods for randomisation and blinding and give practical tips on how to implement them, with a focus on animal studies.

Experimental design and multiple response optimization of batch leaching tests of volcanic ashes.

Volcanic eruptions can release large amounts of tephra, lava, and gases, drawing attention due to their magnitude, energy, and impact on life and the environment. Among the most documented and sometimes dramatic effects of volcanic ashes are those linked to the input of diverse elements in the environment, which are released as a consequence of ash weathering. Laboratory studies have been conducted to investigate and predict the environmental input of chemical elements from volcanic ashes. This research paper describes the optimization of batch leaching tests used to investigate the release of ions from ashes collected in the Andes Cordillera after the eruption of the Puyehue volcano in 2011. Chemometric multivariate strategies were employed to evaluate the influence of variables affecting the leaching of volcanic ash. The effects of the main variables, namely contact time, the acidity of the leaching agent, the solid/liquid ratio, the particle size, and the stirring speed, were studied in leaching tests. To determine the optimal conditions for selected metal determinations, we employ Darringer's desirability function, which allows for the simultaneous optimization of the selected responses (element concentrations during the leaching process). Multielemental analysis (Na, Mg, Al, Si, P, Cl, K, Ca, V, Cr, Mn, Fe, Ni, Cu, Zn, Sr, Cd, Hg, Tl, and Pb) was quantified by ICP-MS (inductively coupled plasma-mass spectrometry) following adequate dilution of test leaching. These results established the optimal experimental conditions for leaching volcanic ash. The most significant variables were the solid/liquid ratio and the stirring speed, resulting in two groups of elements with an adequate global desirability function (D) value.

Positive behavior support in school - a quasi-experimental mixed methods study and a randomized controlled trial.

BACKGROUND: While positive school climate is important for students' well-being and mental health, school personnel may experience challenges in creating a nurturing school climate. School-Wide Positive Behavioral Interventions and Supports (SW-PBIS) has shown positive effects on school climate and children's prosocial behaviors, but fewer studies have been conducted in a European context. AIM: This project aims to investigate the effectiveness of SW-PBIS program for students' social-emotional skills and academic achievement as well as teachers' and students' perceptions of classroom learning environment. Furthermore, the study intends to evaluate how school-level factors mediate or moderate the effects of the intervention. In addition, the study includes a qualitative evaluation of the dynamic interaction processes that occur during program implementation in local school contexts. METHODS: Data on school- and individual-level measures are collected in intervention and control schools. With regard to challenges in retaining control groups over extended time periods, two waves of recruitment are used. In the first wave, an active control group is used and data are collected during three time points. In the second wave, a wait-list control group will be used and data will be collected during two time points during one school year. Hierarchical regression analyses will be conducted to explore the effects of SW-PBIS on the outcomes of the study. An ethno-methodological approach will be applied to provide a detailed examination of the social interactional and meaning-making practices of different school implementation teams, and the negotiation of normative expectations and rules of conduct in peer-teacher-student interactions in different classrooms. DISCUSSION: The study is expected to contribute to knowledge on the effects of the SW-PBIS program and how these effects may be mediated or moderated by school-level factors. Combining quantitative and qualitative methods to explore the significance of school contexts in the implementation of the SW-PBIS program constitutes the strength of the study. The challenge in the study is the extended period of implementation of SW-PBIS, which entails difficulties in retaining a control group over the required time period. Therefore, two waves of recruitment are used, encompassing different procedures of allocation to intervention or control group. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT06270914 on the 22nd of February, 2024 (retrospectively registered).

A digital iCBT intervention for social anxiety disorder in Quebec and Ontario: protocol for a multi-phase effectiveness-implementation study.

BACKGROUND: Social anxiety disorder (SAD) is one of the most prevalent anxiety disorders in Canada. Viable therapy options for the treatment of SAD include CBT being delivered virtually. In Australia, an innovative internet-delivered cognitive-behavioral therapy (iCBT) program for social anxiety has been developed, implemented, and demonstrated as effective. To make available high-quality and real-time evidence in response to the crucial need to access psychological services to meet population mental health needs, we propose to conduct a Canadian adaptation of the iCBT Shyness Program and to examine the program's effectiveness, and implementation in two Canadian provinces (Quebec and Ontario). METHODS: The overall study design is a hybrid effectiveness-implementation study of a quasi-experimental parallel group trial. Prior to implementing the iCBT Shyness Program, it will undergo an initial adaptation to the Canadian context and focus groups will be conducted with key actor groups to discuss the adaptations to the graphics, narration of the lessons, and this to better reflect varying socio-cultural context among Canadian French- and English-speaking populations. We will evaluate the effectiveness of the program in three parallel pathways reflecting real-world pathways: (1) self-refer to the intervention; (2) recommended by a health professional without guidance; and (3) recommended by a health professional, with low-intensity guidance. Data collection will be carried out at baseline, at the beginning of each lesson, 12-week and 6-month follow-up. Outcomes measured will include anxiety and depressive symptoms, psychological distress, disability, as well as health service utilization and satisfaction. Semi-structured interviews will then be conducted with study participants and health care providers to explore facilitating factors and barriers to the implementation of the iCBT adapted program. DISCUSSION: This study will provide evidence on the effectiveness, barriers and facilitating factors to implementing a low-intensity iCBT in the Canadian context for SAD, which will bridge an important care gap for undeserved populations in Canada with SAD. Findings will inform the eventual scaling up of the program in community-based primary care across Canada. This would improve equity of the health care system by helping a large number of Canadians to timely access to mental health services. TRIAL REGISTRATION: clinicaltrials.gov NCT06403995. Prospectively registered on 05/03/2024.

A direct immersion-solid-phase microextraction method for the automated determination of 3- to 6-ring polycyclic aromatic hydrocarbons in saliva by gas-chromatography-tandem mass spectrometry.

This work presents a novel method for the analysis of polycyclic aromatic hydrocarbons (PAHs) in saliva samples using solid phase microextraction (SPME) coupled with gas chromatography-triple quadrupole mass spectrometry (GC-QqQ-MS). The protocol utilizes the latest commercially available overcoated fiber (PDMS/DVB/PDMS) for direct immersion extraction of the target analytes, enabling the determination of thirteen PAHs, including low-volatile compounds. The SPME extraction method was optimized using a central composite design (CCD). The evaluation of the fiber coating's robustness over time demonstrated excellent extraction performance with no significant degradation. The validation procedure confirmed good performance for all parameters, with LOQ values (100 ng/L for ten analytes and 500 ng/L for three analytes) comparable to other chromatographic methods. The environmental impact of the protocol was objectively assessed using two recently proposed metrics: the Green Analytical Procedure Index (GAPI) and the Analytical Greenness metric for sample preparation (AGREEprep). Both metrics indicated good overall environmental friendliness, with AGREEprep providing a satisfactory comprehensive score despite the use of highly impactful instrumentation. These characteristics make the developed method suitable for routine analysis in environmental and epidemiological monitoring.

Optimized high-throughput protocols for comprehensive metabolomic and lipidomic profiling of brain sample.

Establishing direct causal and functional links between genotype and phenotype requires thoroughly analyzing metabolites and lipids in systems biology. Tissue samples, which provide localized and direct information and contain unique compounds, play a significant role in objectively classifying diseases, predicting prognosis, and deciding personalized therapeutic strategies. Comprehensive metabolomic and lipidomic analyses in tissue samples need efficient sample preparation steps, optimized analysis conditions, and the integration of orthogonal analytical platforms because of the physicochemical diversities of biomolecules. Here, we propose simple, rapid, and robust high-throughput analytical protocols based on the design of experiment (DoE) strategies, with the various parameters systematically tested for comprehensively analyzing the heterogeneous brain samples. The suggested protocols present a systematically DoE-based strategy for performing the most comprehensive analysis for integrated GC-MS and LC-qTOF-MS from brain samples. The five different DoE models, including D-optimal, full factorial, fractional, and Box-Behnken, were applied to increase extraction efficiency for metabolites and lipids and optimize instrumental parameters, including sample preparation and chromatographic parameters. The superior simultaneous extraction of metabolites and lipids from brain samples was achieved by the methanol-water-dichloromethane (2:1:3, v/v/v) mixture. For GC-MS based metabolomics analysis, incubation time, temperature, and methoxyamine concentration (10 mg/mL) affected metabolite coverage significantly. For LC-qTOF-MS based metabolomics analysis, the extraction solvent (methanol-water; 2:1, v/v) and the reconstitution solvent (%0.1 FA in acetonitrile) were superior on the metabolite coverage. On the other hand, the ionic strength and column temperature were critical and significant parameters for high throughput metabolomics and lipidomics studies using LC-qTOF-MS. In conclusion, DoE-based optimization strategies for a three-in-one single-step extraction enabled rapid, comprehensive, high-throughput, and simultaneous analysis of metabolites, lipids, and even proteins from a 10 mg brain sample. Under optimized conditions, 475 lipids and 158 metabolites were identified in brain samples.

Xylitol production from passion fruit peel hydrolysate: Optimization of hydrolysis and fermentation processes.

The passion fruit peel (PFP) has a high cellulose and hemicellulose content, which can be used to produce fermentable sugars. In this context, this study aims to optimize the release of xylose and the production of xylitol from PFP. The optimized conditions were 0.71 M dilute sulfuric acid and a 21.84-minute treatment, yielding 19.03 g/L of xylose (PFP-1). Different PFP hydrolysates were evaluated to improve xylitol production by the yeast Kluyveromyces marxianus ATCC 36907: PFP-2 (PFP1 treated with Ca(OH)2), PFP-3 (PFP-1 treated with Ca(OH)2 and activated carbon), PFP-4 (PFP-3 with biological elimination of glucose with S. cerevisiae, and concentrated at different xylose concentrations). The applied methods resulted in higher xylitol production (14.97 g/L), when PFP hydrolysate was detoxified with Ca(OH)2, treated with activated charcoal for 1 h, biotreated for glucose removal, and concentrated to 40 g/L of xylose.

Interactive Notebooks Improve Students' Understanding of Developmental Neurobiology, Attitudes Toward Research, and Experimental Design Competency in a Lecture-Based Neuroscience Course.

Recent efforts to engage postsecondary science, technology, engineering, and mathematics (STEM) students in the rigors of discovery-driven inquiry have centered on the integration of course-based undergraduate research experiences (CUREs) within the biology curricula. While this method of laboratory education is demonstrated to improve students' content knowledge, motivations, affect, and persistence in STEM, CUREs may present as cost- and/or resource-prohibitive. Likewise, not all lecture courses have a concomitant laboratory requirement. With these caveats in mind, we developed the NeuroNotebook intervention, which provided students enrolled in a standalone Developmental Neurobiology course with an immersive, semester-long "dry-lab" experience incorporating many of the same elements as a CURE (e.g., collaboration, use of experimental design skills, troubleshooting, and science communication). Quantitative and qualitative assessment of this intervention revealed positive pre-/post-semester gains in students' content knowledge, attitudes toward the research process, and development of science process skills. Collectively, these data suggest that interventions such as the NeuroNotebook can be an effective alternative to a "wet-lab" experience.

'Living in the Present' mindfulness for parents of children with skin conditions: a single group case series.

BACKGROUND: Parents of children with skin conditions can experience stress from the additional responsibilities of care. However, there is a lack of psychological interventions for families affected by a dermatological diagnosis. AIMS: To investigate (1) whether delivering the 'Living in the Present' mindfulness curriculum to parents of children with skin conditions reduced stress and increased both parental/child quality of life (QoL), and (2) determine intervention acceptability. METHOD: Ten parents of children with eczema, ectodermal dysplasia, ichthyosis, and alopecia took part in a mindfulness-based intervention. Using mixed methods, a single-group experimental case design (SCED) was conducted and supplemented by thematic analysis of exit interviews. Parents completed idiographic measures of parenting stress, standardised measures of QoL, stress, mindfulness, and took part in exit interviews. Children also completed QoL measures. RESULTS: Tau-U analysis of idiographic measures revealed three parents showed some significant improvements in positive targets, and five parents showed some significant improvements in negative targets. Assessment of reliable change demonstrated that: one parent showed improvement in mindful parenting, three parents showed improvement in parenting stress, seven parents showed improvement in anxiety, three parents showed improvements in depression, six parents showed improvement in QoL, and four children showed improvement in QoL. However, two parents showed increased anxiety. Thematic analysis revealed positive changes to mood following mindfulness, although challenges were highlighted, including sustaining home practice. CONCLUSION: Findings suggest this specific form of mindfulness intervention could be effective for parents of children with skin conditions; however, further robust studies are needed.

Strategies for producing probiotic biomass and postbiotics from Akkermansia muciniphila in submerged cultivations incorporating prebiotic sources.

This research propounds an innovative technology focused on sustainability to increase the biomass yield of Akkermansia muciniphila, the next-generation probiotic, using prebiotic sources to replace or reduce animal mucin levels. A series of experimental design approaches were developed aiming to optimize the growth of Akkermansiamuciniphila by incorporating extracts of green leafy vegetables and edible mushroom into the cultivation media. Experiments using kale extract (KE), Brassica oleracea L., associated with lyophilized mushroom extract (LME) of Pleurotus ostreatus were the most promising, highlighting the assays with 0.376% KE and 0.423% LME or 1.05% KE and 0.5% LME, in which 3.5 × 1010 CFU (Colony Forming Units) mL- 1 was achieved - higher than in experiments in optimized synthetic media. Such results enhance the potential of using KE and LME not only as mucin substitutes, but also as a source to increase Akkermansia muciniphila biomass yields and release short-chain fatty acids. The work is relevant to the food and pharmaceutical industries in the preparation of the probiotic ingredient.

Natural deep eutectic solvent-based dispersive liquid-liquid microextraction of pesticides in drinking waters combined with GC-MS/MS detection.

The current research aims to develop a new analytical method applying a dispersive liquid-liquid microextraction (DLLME) assisted by vortex and using an environmentally friendly extractant for the preconcentration of organochlorine and organophosphorus pesticides followed by gas chromatography-tandem mass spectrometry (GC-MS/MS) analysis. The extractant (i.e., natural deep eutectic solvent (NADES)) is safe, cheap, biodegradable and can be prepared by simply mixing DL-menthol and decanoic acid (molar ratio 2:1). The main experimental factors affecting the extraction of all analytes evaluated (19 organochlorine and organophosphorus pesticides) have been optimised using a multivariate analysis consisting in two steps: a Plackett-Burman design followed by a central composite design (CCD). Seven experimental factors have been evaluated: (i) sample volume; (ii) NADES volume; (iii) sample pH; (iv) extraction time; (v) centrifugation time; (vi) centrifugation speed; and (vii) ionic strength (NaCl %, w v-1). For the significant variables, the optimum values were 10 mL sample and 45 µL NADES. No pH adjustment as well as addition of NaCl were needed. The other variables were set at 3 min extraction time, 5 min centrifugation time and 900×g centrifugation speed, respectively. Under the optimised extraction conditions, the limit of quantification (LOQ) values ranged between 0.2 and 78 ng L-1 for all analysed pesticides. Furthermore, the proposed analytical method has been successfully applied to drinking water (bottled spring water). The recovery study (n = 3) has been evaluated at 0.1, 1.0 and 5.0 µg L-1 spiking levels, obtaining relative recovery values within the range of 70 % and 117 % and RSD values between 1 % and 20 % for all the analytes studied, except for p,p-DDT (56-77 % in high conductivity water samples).

How cage effects can hurt statistical analyses of completely randomized designs.

Cage effects: some researchers worry about them, some don't, and some aren't even aware of them. When statistical analyses do not account for cage effects, there is real reason to worry. Regardless of researchers' worries or lack thereof, all researchers should be aware of how cage effects can affect the results. The "how" depends, in part, on the experimental design. Here, I (a) define cage effects; (b) illustrate a completely randomized design (CRD) often used in animal experiments; (c) explain how statistical significance is artificially inflated when cage effects are ignored and (d) give guidance on proper analyses and on how to increase statistical power in CRDs.

Half the price, twice the gain: How to simultaneously decrease animal numbers and increase precision with good experimental design.

Animal research often involves experiments in which the effect of several factors on a particular outcome is of scientific interest. Many researchers approach such experiments by varying just one factor at a time. As a consequence, they design and analyze the experiments based on a pairwise comparison between two groups. However, this approach uses unreasonably large numbers of animals and leads to severe limitations in terms of the research questions that can be answered. Factorial designs and analyses offer a more efficient way to perform and assess experiments with multiple factors of interest. We will illustrate the basic principles behind these designs, discussing a simple example with only two factors before suggesting how to design and analyze more complex experiments involving larger numbers of factors based on multiway analysis of variance.

Optimization of differentiation conditions for porcine adipose-derived mesenchymal stem cells and analysis of fatty acids in cultured fat.

Cultured fat is an important part of cultured meat, and the ability of adipose-derived mesenchymal stem cells (ADSCs) to differentiate into mature adipose tissue affects the quality of cultured fat. Thus, the primary aim of this study was to screen for combinations of differentiation-inducing factors (DIF) using single-factor experiment and orthogonal experimental design under two-dimensional culture conditions for ADSCs. The results showed that a combination of DIF consisting of 1 µmol/L dexamethasone, 0.1 mmol/L 3-isobutyl-1-methylxanthine, 10 µg/mL insulin, 0.1 mmol/L indomethacin, and 2 µmol/L rosiglitazone was a good choice for the differentiation of ADSCs. An combination of DIF was applied to the preparation of cultured fat with collagen as scaffolds. Forty-eight fatty acids were detected in cultured fat by ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS). Among them, the content of twenty-one fatty acids in cultured fat was significantly higher than that of conventional porcine subcutaneous adipose tissue (P < 0.05), and the content of 14 fatty acids was not significantly different (P > 0.05). The ratio of ω-6 polyunsaturated fatty acids content to ω-3 polyunsaturated fatty acids content was 1.23:1, which meant cultured fat was beneficial for human health. This study provides a method to improve the differentiation ability of ADSCs while also providing a reference for indicating the nutritional value of cultured fat.

Animal models for preventing seroma after surgery: a systematic review and meta-analysis.

Novel interventions for seroma prevention are urgently needed in clinical practice. Animal models are pivotal tools for testing these interventions; however, a significant translational gap persists between clinical and animal model outcomes. This systematic review aims to assess the methodological characteristics and quality of animal models utilized for seroma prevention. A meta-analysis was performed to estimate the expected seroma incidence rate for control groups and determine the effect size of typical interventions. We systematically retrieved all studies describing animal models in which seroma formation was induced. Methodological characteristics, risks of bias, and study quality were assessed. Seroma volume and -incidence data were used for the meta-analysis. In total, 55 studies were included, with 42 eligible for meta-analysis. Rats (69%) were the most frequently used species, with mastectomy (50%) being the predominant surgical procedure in these models. Despite significant risks of bias across all studies, an improving trend in reporting quality per decade was observed. The meta-analysis revealed an average seroma incidence of 90% in typical control groups. The average intervention halved the seroma incidence (RR = 0.49; CI 0.35, 0.70) and significantly reduced seroma volume (SMD = -3.31; CI -4.21, -2.41), although notable heterogeneity was present. In conclusion, animal models for seroma prevention exhibit methodological flaws and multiple risks of bias. Implementing sufficiently powered positive and negative control groups could improve the internal validity of these models. More research is needed for further development of animal seroma models.

The influence of procedural characteristics on within-case effect sizes for academic outcomes.

Single-case experimental designs (SCEDs) have been used with increasing frequency to identify evidence-based interventions in education. The purpose of this study was to explore how several procedural characteristics, including within-phase variability (i.e., measurement error), number of baseline observations, and number of intervention observations influenced the magnitude of four SCED effect sizes, including (a) non-overlap of all pairs (NAP), (b) baseline corrected tau (BC-Tau), (c) mean-phase difference (MPD), and (d) generalized least squares (GLS) when applied to hypothetical academic intervention SCED data. Higher levels of measurement error decreased the average magnitude of effect sizes, particularly NAP and BC-Tau. However, the number of intervention observations had minimal impact on the average magnitude of NAP and BC-Tau. Increasing the number of intervention observations dramatically increased the magnitude of GLS and MPD. Increasing the number of baseline observations also tended to increase the average magnitude of MPD. The ratio of baseline to intervention observations had a statistically but not practically significant influence on the average magnitude of NAP, BC-Tau, and GLS. Careful consideration is required when determining the length of time academic SCEDs are conducted and what effect sizes are used to summarize treatment outcomes. This article also highlights the value of using meaningful simulation conditions to understand the performance of SCED effect sizes.

Optimizing microplastic treatment in the effluent of biological nutrient removal processes using electrocoagulation: Taguchi experimental design.

Microplastics (MPs) have become one of the most critical environmental pollution problems in recent years. Due to the growing abundance of MPs in aquatic environments, extensive research has been conducted and continues to be ongoing to develop effective treatment methods. In this study, the removal of MPs in the effluent of biological wastewater treatment plant (WWTP) was investigated by electrocoagulation (EC) process with aluminum electrodes. Using Taguchi design, the importance of process variables such as pH, current density, and reaction time were evaluated by Analysis of Variance (ANOVA). Statistically, according to F and p values, the most effective parameter for microplastic (MP) removal was current density, followed by pH and reaction time. The R2 value of the created model was found to be above 98%. According to Taguchi results, the optimum process conditions were determined as pH 9, current density 1.905 mA/cm2, and reaction time 15 min and 99% MP removal efficiency was obtained. Under these optimum conditions, the process cost was calculated as 0.049 $/m3 wastewater, considering energy and electrode consumption. As a result of visual analyses, fiber, film, pellet, amorphous, and undefined forms were dominant in WWTP effluent, while only fiber structures were observed after treatment with EC. In this study, it was concluded that the EC process is an alternative treatment method that can be integrated into wastewater treatment plant effluent to achieve MP removal at very low cost and high efficiency. In addition, as a result of this study, it was observed that the EC process can also be used in MP removal by applying it to real wastewater.

Birthing a new maternal cognition literature: 10 recommendations for future research.

Whilst the field of maternal cognition is gaining interest, with a recent increase in publications, there are still only a handful of existing studies. This presents a unique opportunity for reflection and growth, advancing scientific rigor to ensure that future interpretations of maternal cognitive functioning are based on robust, generalizable data. With this in mind, we offer ten recommendations for future cognitive research in motherhood, with a focus on intentional study design. A study's design dictates the questions that can be asked, and the answers that can be gleaned from collected data, making study design a cornerstone of robust and reproducible science. These recommendations are intended as a resource for study conceptualization and design, participant recruitment, result interpretation, and peer review.

Liquefaction optimization of grape pulp using response surface methodology for biopolyol production and bio-based polyurethane foam synthesis.

Both environmental and economic disadvantages of using petroleum-based products have been forcing researchers to work on environmentally friendly, sustainable, and economical alternatives. The purpose of this study is to optimize the solvothermal liquefaction process of grape pomace using response surface methodology coupled with a central composite design. After investigating the physicochemical properties of the liquified products (biopolyol) in detail, a bio-based rigid polyurethane foam (RPUF) was synthesized and characterized. The hydroxyl and acid numbers and viscosity values of all the biopolyols were analyzed. According to variance analysis results (%95 confidence range), both the reaction temperature and catalyst loading were determined as significant parameters on the liquefaction yield (LY). The model was validated experimentally in the following reaction conditions: 4.25% catalyst loading, 50 min reaction time, and 165 °C reaction temperature, which yields an LY of 81.3%. The biopolyols produced by the validation experiment display similar characteristics (hydroxyl number: 470.5 mg KOH/g; acid number: 2.31 mg KOH/g; viscosity: 1785 cP at 25 °C) to those of commercial polyols widely preferred in the production of polyurethane foam. The physicochemical properties of bio-based foam obtained from the biopolyol were determined and the thermal conductivity, closed-cell content, apparent density, and compressive strength values of bio-based RPUF were 31.3 mW/m·K, 71.1%, 33.4 kg/m3, and 105.3 kPa, respectively.