ABSTRACT
Non-spherical hydrogel particles are of fundamental interest and can find use in a variety of applications ranging from pharmaceuticals to biomedical to food. Here, we report a new method that leverages the yield stress property of viscoplastic fluids to synthesize shape-engineered alginate particles. By dripping an aqueous viscoplastic solution composed of sodium alginate and a yield-stress material into an ionic gelation bath, droplets are controllably deformed and crosslinked, producing a wide assortment of shapes. We find that by tuning the yield stress of the solution and the nozzle tip orientation, a range of shapes from symmetric and near-spherical, to asymmetric and anisotropic (e.g., egg-, rice grain-, arc-, ring-, snail shell-, tear-, and tadpole-like) can be produced. We explain our observations using scaling analysis of the forces exerted on the droplet at different stages of particle production. We show that the main factors that determine the degree of droplet deformation during bath entry and the final appearance of the alginate particles are the initial shape of the droplets, the timescales of the viscoplastic fluid relaxation versus the crosslinking reaction, and the physico-chemical properties of the yield-stress material.
Subject(s)
Alginates , Hydrogels , Alginates/chemistry , Hydrogels/chemistry , IonsABSTRACT
Introduction: Mental health problems as a consequence of cancer lower the quality of life of cancer patients. Despite increasing studies of breast cancer-focused mobile health applications (m-Health apps), there is less research on breast cancer patients' quality of life or well-being. The purpose of this study is to develop and evaluate the usability and quality of an educational m-Health app aimed at improving the resilience of breast cancer in women. Methods: This study was conducted in four phases. It included extracting the requirements of the app through the nominal group technique. Based on these results, an m-Health app was developed and evaluated in terms of usability and quality by two scales, System Usability Scale and Mobile App Rating Scale questionnaires, respectively. Finally, the role of patients' age and educational backgrounds in the use of the app was assessed. The relationship between learnability and usability of the app was measured by the T-Test. Results: The app was developed with three user interfaces. Its usability developed from the patient's point of view scored a remarkable score of 83.20 with a 95% confidence interval. This value was too indicative of high satisfaction with the usefulness and the possibility of recommending it to other cancer survivors. The results of the quality evaluation from an expert's point of view showed that this app had good functionality. Evaluation of the role of demographic information in the use of the app showed that it can be used for all age groups with different levels of education. The app did not differ significantly between learnability and usability. Conclusion: The development of m-Health apps, based on usability principles that are suitable for all age groups with different levels of education, is welcomed by cancer patients.
ABSTRACT
Animal models are often used to assess the airborne transmissibility of various pathogens, which are typically assumed to be carried by expiratory droplets emitted directly from the respiratory tract of the infected animal. We recently established that influenza virus is also transmissible via "aerosolized fomites," micron-scale dust particulates released from virus-contaminated surfaces (Asadi et al. in Nat Commun 11(1):4062, 2020). Here we expand on this observation, by counting and characterizing the particles emitted from guinea pig cages using an Aerodynamic Particle Sizer (APS) and an Interferometric Mie Imaging (IMI) system. Of over 9000 airborne particles emitted from guinea pig cages and directly imaged with IMI, none had an interference pattern indicative of a liquid droplet. Separate measurements of the particle count using the APS indicate that particle concentrations spike upwards immediately following animal motion, then decay exponentially with a time constant commensurate with the air exchange rate in the cage. Taken together, the results presented here raise the possibility that a non-negligible fraction of airborne influenza transmission events between guinea pigs occurs via aerosolized fomites rather than respiratory droplets, though the relative frequencies of these two routes have yet to be definitively determined.
Subject(s)
Aerosols/adverse effects , Fomites/virology , Orthomyxoviridae Infections/transmission , Orthomyxoviridae/growth & development , Animals , Guinea Pigs , Orthomyxoviridae Infections/virologyABSTRACT
Wearing surgical masks or other similar face coverings can reduce the emission of expiratory particles produced via breathing, talking, coughing, or sneezing. Although it is well established that some fraction of the expiratory airflow leaks around the edges of the mask, it is unclear how these leakage airflows affect the overall efficiency with which masks block emission of expiratory aerosol particles. Here, we show experimentally that the aerosol particle concentrations in the leakage airflows around a surgical mask are reduced compared to no mask wearing, with the magnitude of reduction dependent on the direction of escape (out the top, the sides, or the bottom). Because the actual leakage flowrate in each direction is difficult to measure, we use a Monte Carlo approach to estimate flow-corrected particle emission rates for particles having diameters in the range 0.5-20 µm. in all orientations. From these, we derive a flow-weighted overall number-based particle removal efficiency for the mask. The overall mask efficiency, accounting both for air that passes through the mask and for leakage flows, is reduced compared to the through-mask filtration efficiency, from 93 to 70% for talking, but from only 94-90% for coughing. These results demonstrate that leakage flows due to imperfect sealing do decrease mask efficiencies for reducing emission of expiratory particles, but even with such leakage surgical masks provide substantial control.
Subject(s)
Aerosols , Communicable Disease Control/methods , Cough , Exhalation , Filtration , Masks , Virus Diseases/prevention & control , Adolescent , Adult , COVID-19/prevention & control , Equipment Failure , Female , Humans , Male , Middle Aged , Monte Carlo Method , Particle Size , Probability , Respiration , Sneezing , Young AdultABSTRACT
In this study, polylactic acid (PLA)/titanium dioxide/lycopene (PLA/TiO2/Lyc) nano-composite film was prepared. The morphology and mechanical properties of the film were studied by SEM and texture analyser. Results showed that lycopene and TiO2 nanoparticles were distributed in the film matrix uniformly, TiO2 and lycopene increased the mechanical properties of PLA film. The PLA/TiO2/Lyc film was used to package margarine. The effect of PLA/TiO2/Lyc film, time and temperature of storage on the qualitative features of margarine were studied. Also the colour properties of PLA/TiO2/Lyc film were studied during storage period. Oxidative features (antioxidant activity, acidity number, peroxide value and thiobarbituric acid value) of margarine showed that the quality features of margarine decreased during storage, but the PLA/TiO2/Lyc film controled the oxidative factors and increased the margarine shelf life significantly (P < .05). Results also showed that the PLA/TiO2/Lyc film colour changed from red to light yellow during storage. With increasing margarine storage time, the film colour index a decreased (red colour diminished) while b increased (yellow colour increased). There were good relations between colour changes of film and oxidative parameters of margarine and storage time and storage temperature. Thus PLA/TiO2/Lyc film can be used as a visual indicator of the oxidation variations during storage of packaged margarine.
Subject(s)
Food Contamination/analysis , Food Packaging , Lycopene/analysis , Margarine/analysis , Nanocomposites/analysis , Polyesters/analysis , Color , Food Analysis , Titanium/analysisABSTRACT
The COVID-19 pandemic triggered a surge in demand for facemasks to protect against disease transmission. In response to shortages, many public health authorities have recommended homemade masks as acceptable alternatives to surgical masks and N95 respirators. Although mask wearing is intended, in part, to protect others from exhaled, virus-containing particles, few studies have examined particle emission by mask-wearers into the surrounding air. Here, we measured outward emissions of micron-scale aerosol particles by healthy humans performing various expiratory activities while wearing different types of medical-grade or homemade masks. Both surgical masks and unvented KN95 respirators, even without fit-testing, reduce the outward particle emission rates by 90% and 74% on average during speaking and coughing, respectively, compared to wearing no mask, corroborating their effectiveness at reducing outward emission. These masks similarly decreased the outward particle emission of a coughing superemitter, who for unclear reasons emitted up to two orders of magnitude more expiratory particles via coughing than average. In contrast, shedding of non-expiratory micron-scale particulates from friable cellulosic fibers in homemade cotton-fabric masks confounded explicit determination of their efficacy at reducing expiratory particle emission. Audio analysis of the speech and coughing intensity confirmed that people speak more loudly, but do not cough more loudly, when wearing a mask. Further work is needed to establish the efficacy of cloth masks at blocking expiratory particles for speech and coughing at varied intensity and to assess whether virus-contaminated fabrics can generate aerosolized fomites, but the results strongly corroborate the efficacy of medical-grade masks and highlight the importance of regular washing of homemade masks.
Subject(s)
Coronavirus Infections/prevention & control , Coronavirus Infections/transmission , Masks , Pandemics/prevention & control , Pneumonia, Viral/prevention & control , Pneumonia, Viral/transmission , Primary Prevention/methods , Respiratory Protective Devices , Adolescent , Adult , Aerosols , Betacoronavirus , COVID-19 , Cough/virology , Exhalation , Female , Filtration/instrumentation , Humans , Inhalation Exposure , Male , Middle Aged , Primary Prevention/instrumentation , SARS-CoV-2 , Young AdultABSTRACT
Influenza viruses are presumed, but not conclusively known, to spread among humans by several possible routes. We provide evidence of a mode of transmission seldom considered for influenza: airborne virus transport on microscopic particles called "aerosolized fomites." In the guinea pig model of influenza virus transmission, we show that the airborne particulates produced by infected animals are mainly non-respiratory in origin. Surprisingly, we find that an uninfected, virus-immune guinea pig whose body is contaminated with influenza virus can transmit the virus through the air to a susceptible partner in a separate cage. We further demonstrate that aerosolized fomites can be generated from inanimate objects, such as by manually rubbing a paper tissue contaminated with influenza virus. Our data suggest that aerosolized fomites may contribute to influenza virus transmission in animal models of human influenza, if not among humans themselves, with important but understudied implications for public health.
Subject(s)
Fomites , Influenza A virus , Influenza, Human/transmission , Influenza, Human/virology , Particulate Matter , Aerosols , Animals , Disease Models, Animal , Female , Guinea Pigs , Humans , Influenza A Virus, H3N2 Subtype , Orthomyxoviridae Infections/virology , Particle SizeABSTRACT
Previously, we demonstrated a strong correlation between the amplitude of human speech and the emission rate of micron-scale expiratory aerosol particles, which are believed to play a role in respiratory disease transmission. To further those findings, here we systematically investigate the effect of different 'phones' (the basic sound units of speech) on the emission of particles from the human respiratory tract during speech. We measured the respiratory particle emission rates of 56 healthy human volunteers voicing specific phones, both in isolation and in the context of a standard spoken text. We found that certain phones are associated with significantly higher particle production; for example, the vowel /i/ ("need," "sea") produces more particles than /É/ ("saw," "hot") or /u/ ("blue," "mood"), while disyllabic words including voiced plosive consonants (e.g., /d/, /b/, /g/) yield more particles than words with voiceless fricatives (e.g., /s/, /h/, /f/). These trends for discrete phones and words were corroborated by the time-resolved particle emission rates as volunteers read aloud from a standard text passage that incorporates a broad range of the phones present in spoken English. Our measurements showed that particle emission rates were positively correlated with the vowel content of a phrase; conversely, particle emission decreased during phrases with a high fraction of voiceless fricatives. Our particle emission data is broadly consistent with prior measurements of the egressive airflow rate associated with the vocalization of various phones that differ in voicing and articulation. These results suggest that airborne transmission of respiratory pathogens via speech aerosol particles could be modulated by specific phonetic characteristics of the language spoken by a given human population, along with other, more frequently considered epidemiological variables.
Subject(s)
Exhalation/physiology , Respiratory Tract Infections/transmission , Speech/physiology , Adolescent , Adult , Aerosols , Air Microbiology , Cough/microbiology , Cough/physiopathology , Female , Humans , Male , Middle Aged , Phonetics , Respiratory Tract Infections/microbiology , Speech Acoustics , Speech Articulation Tests , Voice/physiology , Young AdultABSTRACT
Mechanistic hypotheses about airborne infectious disease transmission have traditionally emphasized the role of coughing and sneezing, which are dramatic expiratory events that yield both easily visible droplets and large quantities of particles too small to see by eye. Nonetheless, it has long been known that normal speech also yields large quantities of particles that are too small to see by eye, but are large enough to carry a variety of communicable respiratory pathogens. Here we show that the rate of particle emission during normal human speech is positively correlated with the loudness (amplitude) of vocalization, ranging from approximately 1 to 50 particles per second (0.06 to 3 particles per cm3) for low to high amplitudes, regardless of the language spoken (English, Spanish, Mandarin, or Arabic). Furthermore, a small fraction of individuals behaves as "speech superemitters," consistently releasing an order of magnitude more particles than their peers. Our data demonstrate that the phenomenon of speech superemission cannot be fully explained either by the phonic structures or the amplitude of the speech. These results suggest that other unknown physiological factors, varying dramatically among individuals, could affect the probability of respiratory infectious disease transmission, and also help explain the existence of superspreaders who are disproportionately responsible for outbreaks of airborne infectious disease.