Properties Of Different Polymers Research Articles

Machine Learning with Enormous "Synthetic" Data Sets: Predicting Glass Transition Temperature of Polyimides Using Graph Convolutional Neural Networks.

In the present work, we address the problem of utilizing machine learning (ML) methods to predict the thermal properties of polymers by establishing "structure-property" relationships. Having focused on a particular class of heterocyclic polymers, namely polyimides (PIs), we developed a graph convolutional neural network (GCNN), being one of the most promising tools for working with big data, to predict the PI glass transition temperature T g as an example of the fundamental property of polymers. To train the GCNN, we propose an original methodology based on using a "transfer learning" approach with an enormous "synthetic" data set for pretraining and a small experimental data set for its fine-tuning. The "synthetic" data set contains more than 6 million combinatorically generated repeating units of PIs and theoretical values of their T g values calculated using the well-established Askadskii's quantitative structure-property relationship (QSPR) computational scheme. Additionally, an experimental data set for 214 PIs was also collected from the literature for training, fine-tuning, and validation of the GCNN. Both "synthetic" and experimental data sets are included into a PolyAskInG database (Polymer Askadskii's Intelligent Gateway). By using the PolyAskInG database, we developed GCNN which allows estimation of T g of PI with a mean absolute error (MAE) of about 20 K, which is 1.5 times lower than in the case of Askadskii QSPR analysis (33 K). To prove the efficiency and usability of the proposed GCNN architecture and training methodology for predicting polymer properties, we also employed "transfer learning" to develop alternative GCNN pretrained on proxy-characteristics taken from the popular quantum-chemical QM9 database for small compounds and fine-tuned on an experimental T g values data set from PolyAskInG database. The obtained results indicate that pretraining of GCNN on the "synthetic" polymer data set provides MAE which is almost twice as low as that in the case of using the QM9 data set in the pretraining stage (∼41 K). Furthermore, we address the questions associated with the influence of the differences in the size of the experimental and "synthetic" data sets (so-called "reality gap" problem), as well as their chemical composition on the training quality. Our results state the overall priority of using polymer data sets for developing deep neural networks, and GCNN in particular, for efficient prediction of polymer properties. Moreover, our work opens up a challenge for the theoretically supported generation of large "synthetic" data sets of polymer properties for the training of the complex ML models. The proposed methodology is rather versatile and may be generalized for predicting other properties of different polymers and copolymers synthesized through the polycondensation reaction.

Strengthening Interfacial Adhesion and Foamability of Immiscible Polymer Blends via Rationally Designed Reactive Macromolecular Compatibilizers.

Foams made of immiscible polymer blends have attracted great interest in both academia and industry, because of the integration of desirable properties of different polymers in a hybrid foam. However, the foamability and end-use properties are hampered because of the poor interfacial strength within the immiscible blends. Furthermore, few investigations have been carried out on the mechanisms by which interfacial strength and structure affect the foamability of polymer blends. In this work, two different reactive interfacial compatibilizers, i.e., poly(styrene-co-glycidyl methacrylate)-graft-poly(l-lactide) and poly(styrene-co-glycidyl methacry-late)-graft-poly(d-lactide), abbreviated as SG-g-PLLA and SG-g-PDLA, respectively, were designed and synthesized through reactive melt blending and subsequently applied to strengthen the interfacial strength and foamability of immiscible poly(butylene adipate-co-terephthalate) (PBAT)/poly(l-lactide) (PLLA) blends. Both compatibilizers could remarkably enhance the interfacial strength and foamability of the PBAT/PLLA blends, as evidenced by the significantly elongated dispersed phase in the resulting cocontinuous phase and more than 7000-fold increase in the cell density. Furthermore, the improved foamability was quantitively explained by the reduced gas diffusion and increased melt strength. Strikingly, the SG-g-PDLA introduced a stereocomplex crystal at the interface (i-SC), providing highly strengthened interfaces and nanoscale heterogeneous nucleation sites, which led to an energetically favorable cell nucleation. Moreover, foams with specifically laminated cell structures were fabricated by combining pressure-induced flow processing and i-SC strengthened interfaces. This work provides insight into the relationship between interfacial strength and formability of immiscible polymer blends and offers new possibilities for controlling cell morphologies and designing unique cell structures for polymer foams.

Real-Time 1H and 31P NMR spectroscopy of the copolymerization of cyclic phosphoesters and trimethylene carbonate reveals transesterification from gradient to random copolymers

Copolymerization is the general approach to combine properties of different polymers in a single material. We prepared the first trimethylene carbonate (TMC) phosphoester (PE) copolymers by statistical copolymerization using either stannous octanoate or 1,8-diazabicyclo[5.4.0]undec-7-ene (DBU) as the respective catalyst. Variation of comonomer feed, reaction temperature and solvent, resulted in a library of copolymers with molar masses of up to 83,000 g/mol and moderate molar mass dispersities (<1.8). The monomer consumptions during the copolymerizations were followed by real-time 1H and 31P NMR spectroscopy in solution and in the bulk. As ring-opening copolymerization of cyclic esters often leads to gradient copolymers, also TMC and PE copolymerizations resulted in gradient copolymers, i.e. P(TMC-grad-PE)s, with different gradient strength depending on the copolymerization conditions. If a suitable transesterification catalyst like stannous octanoate was used, randomization of the gradient copolymer occurred. The 31P NMR shift of incorporated phosphoester units was used as a probe to monitor the randomization of the gradient copolymers in real-time by 31P NMR spectroscopy. The P-comonomer acts as an ideal NMR probe for in situ monitoring the changes of the copolymers’ microstructure during the transesterification by following the evolution of diads and triads. This paper focusses on the randomization procedure and gives detailed information about the copolymer structure and the kinetics of the copolymerization. The data give the possibility to understand randomization processes on a molecular scale and to fine-tune properties of polycarbonate-polyphosphoester copolymers in future applications.

A Machine Learning Framework for Predicting the Glass Transition Temperature of Homopolymers

Technological advances and the need for new polymers necessitate continuous research in the design and identification of polymers with specific physical and chemical properties. Among the different properties of polymers, the glass transition temperature is a key property in determining the specific application and the required processing conditions. Due to the complexity of polymers, realizing a novel polymer for a certain application still presents many obstacles. Thus, computational approaches that allow for gaining information on the properties of a designed polymer, a priori, are advantageous. Here, to predict the glass transition temperatures of polymers, we investigate the learning performance of both the graph attention network (GAN) and convolutional neural network (CNN). We utilize five different features of polymers such as atom symbol, neighboring atoms, atom mask, bond types, and neighboring bonds as inputs to the GAN model. For the CNN model, we use image pixels of the chemical structures as input variables. Both optimization and training set duplication are utilized to find the appropriate hyperparameters for improving the models’ prediction. Here, for the tested homopolymers, we found that the GAN model outperforms the CNN model for predicting the glass transition temperature. Furthermore, the attention mechanism showed its capability in helping the machine learning model to extract important information and facilitate better predictions of the glass transition temperature.

Compressive Strength of Acrylic Polymer-Stabilized Kaolinite Clay Modified with Different Additives.

Although numerous studies have shown the successful use of acrylic-based polymers as one of the chemical substances to improve soil mechanical behavior, their basic ingredients in commercial products are not revealed due to the manufacturers’ confidential policy. Among them, additives including pH control agents, thickeners, antifoams, and wetting agents are widely well-known owing to their enhancement effects on different properties of polymers. However, the effect of additives on the soil–polymer mixture is not completely investigated. Therefore, in this study, some of the frequently used additives in acrylic polymers were selected to investigate the effects of each one on the compressive strength of clayey soil. These additives include xanthan gum, Tylose, and carboxymethyl cellulose (CMC) as thickeners, sodium dodecyl sulfate (SDS), cetyltrimethylammonium bromide (CTAB), and Kenon 10 as wetting agents, an ether-based antifoaming agent, and ammonia solution as a pH control agent. A combination of each additive (between 0 and 5% by weight) and polymethyl methacrylate-co-butyl acrylate (with 5% by weight) was added to kaolinite soil to measure the variation of unconfined compressive strength (UCS) and the stress–strain behavior of the soil–polymer–additive mixture. The results indicated that thickeners significantly affected the unconfined compressive strength up to 248% and increased the ductility of the stabilized samples. Acidic pH of the emulsion led to higher unconfined compressive strength of the stabilized soil up to 2.33 times that with alkaline. It is also demonstrated that the use of a higher amount of anionic wetting agent resulted in higher failure strain and lower unconfined compressive strength.

The effects of main toughening mechanisms and functionally interphase properties on fracture energy and fatigue characteristics of nanocomposites containing various fillers

Nowadays, novel technologies like nanofillers-based nanocomposites constitute one of the most active research fields in the extremely high performance materials, caused by the fact that this nanomaterial enhances the properties of different polymers in a significant way. Using these materials in polymer structure could enhance the mechanical properties such as fracture energy and fatigue behavior, which caused by variable or cyclic loadings. In the present study, by using the hierarchical multi-scale modeling procedure the fracture toughness (resistance to cracking), fracture energy and fatigue behavior of nanofillers/epoxy nanocomposites with consideration the contributions of the toughening mechanisms of interfacial debonding and plastic void growth in dissipation energy were investigated and discussed. Afterwards, the effect of CNT/matrix interphase on the fracture toughness, fracture energy and fatigue behavior was evaluated by varying the parameters of Young’s modulus and thickness of interphase. Furthermore, analysis of multi-scale modeling strategy was utilized in order to assess the influences of interphase properties and interfacial fracture energy on major parameters such as the critical stress debonding stress and radial component of the stress concentration tensor. In addition, different micromechanical models such as Halpin-Tsai and Maxwell and models were utilized to determine the Young’s modulus of nanocomposite as functionally graded (FG) interphase properties. Fracture energy and fatigue behavior measurements indicated that the properties of interphase region have a crucial importance on the fracture toughness of CNTs/epoxy nanocomposites. In order to verify the model, comparisons were carried out between the results of model with those predicted by experiments. The consistency between results for most fillers show the good performance of the procedure which has been utilized in this study.

Mucoadhesion: mucin-polymer molecular interactions

Mucoadhesion, adhesion of a material to a mucous membrane or a mucus-covered surface, has been employed in drug delivery to prolong contact with adsorption sites and consequently a likely improvement of drug absorption. Mucoadhesion in the oral cavity also provides additional effects on tactile mouthfeel and extended flavor delivery, which impact consumer perception. The mechanisms behind mucoadhesion have not been well understood and there are contradictory literature results on the ranking of mucoadhesive properties of different polymers based on what in-vitro methods that are used. We herein examine the molecular interactions of different polymers with mucin from bovine submaxillary glands at pH 6.6 by using 1H NMR (Nuclear Magnetic Resonance) that provides atomically resolved information on conformational mobility of the mucin. Studying different types of polymers with different chemical structures and degrees of polymerization (DP), we can via the NMR linewidths and the signal intensities distinguish if the polymers interact with specific segments of the mucin or if they have a universal effect on the mobility of all the molecular segments of the mucin. The specific interaction sites on the mucin for positively charged polymer poly(ethyleneimine) are shown to be different from those for negatively and neutrally charged polymers. In addition, the interactions are also driven by the DP, the concentration of the polymers, and the dehydration. Deepened understanding of molecular effects of the different polymers on the mucin can therefore have strong impact on the development of mucoadhesive products in pharmaceutical and food applications. Finally, we raise awareness of the interpretation of rheological data in terms of mucoadhesion.

Mapping Chemical Structure–Glass Transition Temperature Relationship through Artificial Intelligence

Artificial neural networks (ANNs) have been successfully used in the past to predict different properties of polymers based on their chemical structure and to localize and quantify the intramonomer...

Structural regulation of poly(urea-formaldehyde) microcapsules containing lube base oil and their thermal properties

Regulating the micro-structure of microcapsules containing lubricant is paramount to their properties and the subsequent self-lubrication performance of the composites. In this study, poly(urea-formaldehyde) (PUF) microcapsules containing lube base oil as lubricant have been fabricated by in-situ polymerization technology. The structure and properties of PUF microcapsules are investigated by altering the emulsifier content, homogenization time, oil viscosity and synthetic method. The content of sodium lignosulfonate, an environment-friendly emulsifier, has important regulation effect on the regularity and core content of PUF microcapsules. The homogenization time and oil viscosity directly affect the particle size and distribution of PUF microcapsules. Moreover, the oil viscosity plays an important role in regulating the morphology and thermal behavior of PUF microcapsules. Specifically, by adding low content of emulsifier (0.2 wt %), well-dispersed spherical microcapsules are obtained. Adopting 15# oil as core material and 0.2 wt % emulsifier, high core content of up to 89.2 wt % is achieved. When using lube base oil (32#, 46# oil) with high viscosity, the microcapsules show compact spherical structure and high thermal stability, with the initial decomposition temperature of up to 251.8 °C. This research can provide guidance for fabricating PUF microcapsules with suitable structures and performances for improving the tribological properties of different polymers.

Functional Polylactide Blend Films for Controlling Mesenchymal Stem Cell Behaviour.

Polymer blending is a suitable physical modification method to create novel properties of different polymers. Blending polylactic acid (PLA) and polyethylene glycol (PEG) produces materials with a wide range of properties. This study was the first to investigate the effect of different isomeric forms of PLA and PEG with terminal amino groups to obtain biocompatible films for human mesenchymal stem cell cultivation. It has been shown by scanning electron microscopy that the surface topology changes to the greatest extent when using films obtained on the basis of poly(d,l-lactide) and PEG with high molecular weights (15,000 g/mol). In order to obtain thin films and rapid evaporation of the solvent, PEG is mixed with PLA and does not form a separate phase and is not further washed out during the incubation in water. The presence of PEG with terminal hydroxyl and amino groups in blend films after incubation in water was proven using Fourier transform infrared (FTIR) spectroscopy. Results of fluorescence microscopy demonstrated that blend films formed on PLA and polyethylene glycol diamine (PEG-NH2) are more suitable for cell spreading and focal contact formation compared to cells cultured on the surface of pure PLA films or films made from PLA and PEG.

Development of multilayered nanofibrous scaffolds with PCL and PVA:NaAlg using electrospinning technique for bone tissue regeneration

Development of polymeric nanofibrous scaffolds has achieved wide applications in the field of tissue engineering by electrospinning technique. In order to further improvise this technique for bone tissue regeneration, multilayered nanofibrous scaffolds were fabricated in the present study. The developed hybrid composite scaffolds comprised of hydrophobic polycaprolactone (PCL) and hydrophilic blend of poly(vinyl alcohol):sodium alginate (P:S) nanofibres in a layer-by-layer pattern in order to incorporate the selective properties of different polymers in a single scaffold. The stability of these multilayered scaffolds was further improved by crosslinking with 5% CaCl2. The properties of neat PCL scaffold was compared with the multilayered PCL/P:S, PCL/P:S/PCL and crosslinked PCL/P:S and PCL/P:S/PCL scaffolds. The physicochemical properties of the developed scaffolds were systematically studied. Morphological and structural characteristics measured by scanning electron microscopy revealed uniform nanofibres thereby forming a porous mesh like structure suitable for cell growth. The effect of multilayer deposition of nanofibres was observed in terms of increase in the rate of water absorption and a slower rate of degradation for PCL/P:S and PCL/P:S/PCL scaffolds respectively. Improved mechanical properties were also observed for triple layered PCL/P:S/PCL hybrid scaffold as obtained by mechanical testing. MG-63 bone osteosarcoma cells were employed to determine the biocompatibility of the multilayered scaffolds, wherein none of the scaffolds possessed any cytotoxic effect, while cell proliferation of >90% was clearly observed for multilayered scaffolds. Based on these results the developed multilayered scaffolds were proved to be suitable for bone tissue regeneration.

Structure-properties relationship for energy storage redox polymers: a review

Abstract Redox-active polymers among the energy storage materials (ESMs) are very attractive due to their exceptional advantages such as high stability and processability as well as their simple manufacturing. Their applications are found to useful in electric vehicle, ultraright computers, intelligent electric gadgets, mobile sensor systems, and portable intelligent clothing. They are found to be more efficient and advantageous in terms of superior processing capacity, quick loading unloading, stronger security, lengthy life cycle, versatility, adjustment to various scales, excellent fabrication process capabilities, light weight, flexible, most significantly cost efficiency, and non-toxicity in order to satisfy the requirement for the usage of these potential applications. The redox-active polymers are produced through organic synthesis, which allows the design and free modification of chemical constructions, which allow for the structure of organic compounds. The redox-active polymers can be finely tuned for the desired ESMs applications with their chemical structures and electrochemical properties. The redox-active polymers synthesis also offers the benefits of high-scale, relatively low reaction, and a low demand for energy. In this review we discussed the relationship between structural properties of different polymers for solar energy and their energy storage applications.

Impact of 3D-printing structure on the tribological properties of polymers

Purpose The purpose of this paper is to examine the impact of three-dimensional (3D)-printing process settings (particularly print orientation) on the tribological properties of different polymers. Design/methodology/approach In this study, fused deposition modelling 3D-printing technology was used for fabricating the specimens. To evaluate the influence of print orientation, the test pieces were manufactured horizontally (X) and vertically (Z). The tribological properties of various printed polymers, which are polylactide acid, high tensile/high temperature-polylactide acid and polyethylene terephthalate-glycol have been studied. The tribological tests have been carried out under reciprocating sliding and dry condition. Findings The results show that the presence of various orientations during the 3D-printing process makes a difference in the coefficient of friction and the wear depth values. Findings suggest that printing structure in the horizontal orientation (X) assists in reducing friction and wear. Originality/value To date, there has been very limited research on the tribology of objects produced by 3D printing. This work was made as an attempt to pave the way for future research on the science of tribology of 3D-printed polymers.

Application of hard-core Exponential-6 intermolecular potential function to determine the second osmotic virial coefficients of polymer solutions

The osmotic pressures of polymer solutions are related to their corresponding osmotic virial coefficients. There are several experimental methods to determine the osmotic virial coefficients. However, these experimental virial coefficients are restricted to the experimental conditions. An alternative way of determining the osmotic virial coefficient is with the help of statistical thermodynamics, and unlike experimental methods, because of its theoretical basis, it is not restricted to limited ranges of experimental conditions. The osmotic virial coefficients can be used to calculate the different properties of polymers and polymer solutions, such as the average molecular weight of the polymer (M) and the theta temperature. In this work, for the first time, the second osmotic virial coefficients of a number of polymeric solutions are calculated using the Kihara and Exponential-6 intermolecular potential functions. Furthermore, the hard-core Exponential-6 model, that we have proposed, is also investigated. Additionally, the molecular weights and theta temperatures of these solutions are determined using the calculated second virial coefficients and are compared to literature data. The results show that the recent hard-core Exponential-6 potential model is more accurate than the Kihara and Exponential-6 models and is applicable for calculating other properties of the polymers and polymer solutions.

Multilayer Electrospinning of PCL and PVA: NaAlg Nanofibres for Bone Tissue Engineering

Development of polymeric nanofibrous scaffolds has achieved wide applications in the field of tissue engineering by electrospinning technique. In order to further improvise this technique for bone tissue regeneration, multilayered nanofibrous scaffolds were fabricated in the present study. The hybrid composite scaffolds comprised of hydrophobic polycaprolactone (PCL) and hydrophilic blend of poly(vinyl alcohol):sodium alginate (P:S) nanofibres in a layer-by-layer pattern in order to incorporate the selective properties of different polymers in a single scaffold. The stability of these multilayered scaffolds was further improved by crosslinking with 5% CaCl2. The properties of neat PCL scaffold was compared with the multilayered PCL/P:S, PCL/P:S/PCL and crosslinked PCL/P:S and PCL/P:S/PCL scaffolds. The physicochemical properties of the developed scaffolds were systematically studied. Morphological and structural characteristics measured by scanning electron microscopy revealed uniform nanofibres thereby forming a porous mesh like structure suitable for cell growth. The effect of multilayer deposition of nanofibres was observed in terms of increase in rate of water absorption and a slower rate degradation for PCL/P:S and PCL/P:S/PCL scaffolds respectively. Improved mechanical properties were also observed for triple layered PCL/P:S/PCL hybrid scaffold as obtained by mechanical testing. MG-63 bone osteosarcoma cells were employed to determine the biocompatibility of the multilayered scaffolds, wherein none of the scaffolds possessed any cytotoxic effect, and cell proliferation of >90% was clearly observed for multilayered scaffolds. Based on these results the developed multilayered scaffolds were proved to be suitable for bone tissue regeneration.

Scaffolds in Dental Tissue Engineering: A Review

Context: The major aim of tissue engineering is inducing of the body’s mechanisms to regenerate damaged tissues to original condition and task. Scaffolds are 3D porous constructs which provide a cellular microenvironment needed for tissue engineering. Choosing a biomaterial with proper biological, physical, and mechanical properties is of great importance in tooth tissue engineering. Thus, the current study reviews the properties of different polymers and ceramics for use as scaffolds in tooth dental regeneration. Evidence Acquisition: The current study searched databases such as Elsevier, Wiley, Google Scholar, and PubMed in English from 1972 to 2018. After going through the required process, 29 articles were eventually confirmed and enrolled in this review paper. Conclusions: The results of this work confirmed that thanks to having the ability to provide suitable amounts of interconnected porosities, high ratio of surface area to volume, proper mechanical strength, and different geometries required for tissue engineering, polymers are a good option for regeneration of tooth tissues. Although bioceramics such as calcium phosphate and glasses have good biocompatibility and bioactivity, their poor mechanical properties and low degradation rate limit their extensive use in tooth tissue regeneration.

Experimental measurement of temperature-dependent sellmeier coefficients and thermo-optic coefficients of polymers in terahertz spectral range

Terahertz time-domain spectroscopy has been used to measure the temperature-dependent absorption coefficients and refractive indices of different polymers in 0.2–1.8 THz spectral frequency. The coefficients of temperature-dependent Sellmeier equation for all these polymers have also been evaluated by statistical fitting the measured data, which will be helpful for the evaluation of dispersion properties of the material. Additionally, the thermo-optic coefficients have been evaluated to be the range of −1.230×10−4 to −2.50×10−4 K−1 for 298–373 K. This data would be helpful for the applications of polymers as THz-waveguide and other temperature sensitive devices. These results provide a temperature-dependent database of optical properties of different polymers for their efficient utilization in THz technology.

Low‐density polyethylene/polyamide 6 blends from multilayer films waste

ABSTRACTMultilayer films combine properties of different polymers in a single material, attending specifications to applications such as packaging. However, the mechanical recycling for this material king is commercially less interesting because the polymeric components cannot easily be separated and the direct mechanical processing of the material leads to the immiscible and incompatible polymeric blends. The aim of this study was to evaluate properties of the blends of low‐density polyethylene (LDPE) and polyamide 6 (PA6) generated from mechanical recycling of multilayer films constituted by LDPE and PA6, containing maleic anhydride grafted polyethylene (PE‐g‐MA) as compatibilizing agent and different amounts of virgin PA6. The LDPE/PA6 blends are immiscible for all composition and the use of PE‐g‐MA has showed little effect on the compatibility of the blends with high content of PA6. However, LDPE/PA6 blends with PA6 content up to 20 wt % showed considerable performance for mechanical performance that can justify the mechanical recycling of the material. © 2019 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019, 136, 47456

Preparation and properties of few‐layer graphene modified waterborne epoxy coatings

ABSTRACTFew layer graphene (FLG) has been used to improve different properties of polymers. FLG‐modified waterborne epoxy dispersions were prepared using a hydrophilic epoxy oligomer (HEO‐144) as the surfactant, which was prepared using liquid epoxy resin and poly(ethylene glycol) (PEG4000) at a molar ratio of 1.0. To enhance the stability of FLG‐modified waterborne epoxy dispersions, fumed silica was added and best stability was reached at a fumed silica content of 1.5%. Thermogravimetric analyses demonstrated enhanced thermal stability of the epoxy films after FLG modification. With FLG content of 1.0%, T5% of the modified epoxy films has been increased to 332 °C from 275 °C. Water contact angle and adsorption tests showed improved water resistance with FLG, the water contact angle increased from 49.5° to 76.2° and water adsorption decreased from 9.0% to 2.0%. Furthermore, electrochemical impedance spectroscopy tests and tafel analysis indicated that FLG greatly improved the anticorrosion performance of waterborne epoxy coatings. With a FLG content of 1.0%, modified waterborne epoxy coatings demonstrated significantly low corrosion rate, which was one eighth of that of the unmodified control. These results indicate that FLG modification can be an effective and low cost approach to enhance the anticorrosion performance of waterborne epoxy coatings. © 2018 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2018, 135, 46743.

Polymer adhesion predictions for oral dosage forms to enhance drug administration safety. Part 2: In vitro approach using mechanical force methods.

Predicting the potential for unintended adhesion of solid oral dosage forms (SODF) to mucosal tissue is an important aspect that should be considered during drug product development. Previous investigations into low strength mucoadhesion based on particle interactions methods provided evidence that rheological measurements could be used to obtain valid predictions for the development of SODF coatings that can be safely swallowed. The aim of this second work was to estimate the low mucoadhesive strength properties of different polymers using in vitro methods based on mechanical forces and to identify which methods are more precise when measuring reduced mucoadhesion. Another aim was to compare the obtained results to the ones achieved with in vitro particle interaction methods in order to evaluate which methodology can provide stronger predictions. The combined results correlate between particle interaction methods and mechanical force measurements. The polyethylene glycol grades (PEG) and carnauba wax showed the lowest adhesive potential and are predicted to support safe swallowing. Hydroxypropyl methylcellulose (HPMC) along with high molecular grades of polyvinylpyrrolidone (PVP) and polyvinyl alcohol (PVA) exhibited strong in vitro mucoadhesive strength. The combination of rheological and force tensiometer measurements should be considered when assessing the reduced mucoadhesion of polymer coatings to support safe swallowing of SODF.