Development of facial-skin temperature driven thermal comfort and sensation modeling for a futuristic application

Jia, Mengqi; Choi, Joon-Ho; Liu, Hanxun; Susman, Gideon

doi:10.1016/j.buildenv.2021.108479

Cited by 37 publications

(3 citation statements)

References 18 publications

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“…The studies were carried out in a Franz Cell system with a diffusion area of 1.767 cm 2 and a capacity of 7 mL for the receptor medium buffered to pH 5 (average physiologic skin pH value) [48]. The Franz Cell system was maintained at a constant temperature of 34 ± 0.5 °C (average facial skin temperature) [49], while the receptor medium was stirred constantly at 350 rpm. For the permeation studies, Strat-MTM synthetic membranes were used, and the donor part contained a typical basic moisturizing cream with the obtained microsphere carrier vitamin.…”

Section: In Vitro Vitamin Release and Trans-epidermal Absorption Studiesmentioning

confidence: 99%

Microspheres Based on Blends of Chitosan Derivatives with Carrageenan as Vitamin Carriers in Cosmeceuticals

Lewicka,

Smola-Dmochowska,

Dobrzyński

et al. 2024

Polymers

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Chitosan (CS) has a natural origin and is a biodegradable and biocompatible polymer with many skin-beneficial properties successfully used in the cosmetics and pharmaceutical industry. CS derivatives, especially those synthesized via a Schiff base reaction, are very important due to their unique antimicrobial activity. This study demonstrates research results on the use of hydrogel microspheres made of [chitosan-graft-poly(ε-caprolactone)]-blend-(ĸ-carrageenan)], [chitosan-2-pyridinecarboxaldehyde-graft-poly(ε-caprolactone)]-blend-(ĸ-carrageenan), and chitosan-sodium-4-formylbenzene-1,3-disulfonate-graft-poly(ε-caprolactone)]-blend-(ĸ-carrageenan) as innovative vitamin carriers for cosmetic formulation. A permeation study of retinol (vitamin A), L-ascorbic acid (vitamin C), and α-tocopherol (vitamin E) from the cream through a human skin model by the Franz Cell measurement system was presented. The quantitative analysis of the release of the vitamins added to the cream base, through the membrane, imitating human skin, showed a promising profile of its release/penetration, which is promising for the development of a cream with anti-aging properties. Additionally, the antibacterial activity of the polymers from which the microspheres are made allows for the elimination of preservatives and parabens as cosmetic formulation ingredients.

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Section: In Vitro Vitamin Release and Trans-epidermal Absorption Studiesmentioning

confidence: 99%

Microspheres Based on Blends of Chitosan Derivatives with Carrageenan as Vitamin Carriers in Cosmeceuticals

Lewicka,

Smola-Dmochowska,

Dobrzyński

et al. 2024

Polymers

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“…Cheng et al [27] established non-contact measurements of skin temperatures and deep learning to reflect the human thermal comfort state, which can be used to control HVAC systems. Jia et al [28] claimed that overall thermal sensation is significantly correlated with facial skin temperature.…”

Section: Introductionmentioning

confidence: 99%

A Field Investigation to Quantify the Correlation between Local and Overall Thermal Comfort in Cool Environments

Liang,

He,

et al. 2024

Buildings

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The thermal comfort of local body parts is the essential factor that affects people’s health and comfort as well as a buildings’ energy. This study aims to (1) investigate the characteristics of the local thermal comfort of different body parts of occupants in real buildings in winter, (2) quantify the correlation between the amount of local body parts with coolness or discomfort and the overall subjective thermal responses, and (3) validate an easy-to-use local–overall thermal comfort model. A field investigation in the office and study rooms of a university was conducted in winter. The results indicate that the top five percentages of local coolness appeared in the feet (41.02%), the hands (26.58%), the calves (25.18%), the thighs (13.99%), and the head (9.72%) and that the top five percentages of local discomfort appeared in the feet (44.99%), the palms (28.2%), the calves (24.74%), the head (19.66%), and the thighs (16.35%). Moreover, when the whole body felt cool, at least four local body parts had cool sensations; when the whole body felt thermally uncomfortable, at least three local body parts had cool sensations; and when the whole body felt that the ambient environment was thermally unacceptable, at least seven local body parts had cool sensations. Meanwhile, the correlation between local discomfort and whole-body responses was different: when the whole body felt thermal uncomfortable, at least three local body parts had discomfort; and when the whole body felt that the ambient environment was thermally unacceptable, at least four local body parts had discomfort. Further, the local–overall thermal comfort model proposed by the authors exerted high accuracy in predicting overall thermal comfort.

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“…A basis for modeling that is currently developing is the use of stochastic algorithms and variables [8] The model's accuracy in predicting the thermal comfort of occupants is an important aspect that must be continuously developed. Accurate models that predict the right results are convincing [9]. Linear regression is also used in outdoor thermal comfort studies.…”

Section: Introductionmentioning

confidence: 99%

Thermal Comfort Prediction Accuracy with Machine Learning between Regression Analysis and Naïve Bayes Classifier

et al. 2022

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Various data analysis methods can make thermal comfort prediction models. One method that is often used is multiple linear regression statistical analysis. Regression analysis needs to be checked for accuracy with other analytical methods. This study compares the making of a thermal comfort prediction model with regression analysis and naïve Bayes analysis. The research method used quantitative methods for data collection regarding thermal comfort. The thermal comfort variable, consisting of eight independent variables and one dependent variable, was measured at Wonosobo High School, Indonesia. The analysis to make the prediction model was carried out with two different analyses: multiple linear regression analysis and naïve Bayes analysis. The results show that naïve Bayes is more accurate than multiple linear regression analysis.

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Development of facial-skin temperature driven thermal comfort and sensation modeling for a futuristic application

Cited by 37 publications

References 18 publications

Microspheres Based on Blends of Chitosan Derivatives with Carrageenan as Vitamin Carriers in Cosmeceuticals

Microspheres Based on Blends of Chitosan Derivatives with Carrageenan as Vitamin Carriers in Cosmeceuticals

A Field Investigation to Quantify the Correlation between Local and Overall Thermal Comfort in Cool Environments

Thermal Comfort Prediction Accuracy with Machine Learning between Regression Analysis and Naïve Bayes Classifier

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