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Manufacturing Process and Physicochemical Property of Chitosan/Soybean Peptide Nanoparticles
Jingjing Bai,Jae-Hee Seo,Jiseon Lee,Soojin Kim,SangYoon Lee,JungGyu Lee,Dong-Hyun Park,Hee Jeong Choi,Eun-Young Ko,Mi-Jung Choi 한국산업식품공학회 2016 학술대회 및 심포지엄 Vol.2016 No.10
Soybean peptide (SP) exhibited low intestinal absorption at oral administration due to its fragile structure under gastric digestion. Therefore, we have attempted to encapsulate peptide by cross-linkage interaction between positive charged chitosan (CS) or chitosan oligosaccharide (CSO) and negative charged peptide. The CS (or CSO) with SP nanoparticles were prepared by using ultrasonification technique. The objective of this study was to find the optimal processing method by changing concentration, pH, and homogenizing conditions. We measured physicochemical properties such as particle size, zeta-potential, encapsulation efficiency (EE%), release rate (RR) and antioxidant ability of samples. The results showed that the optimal processing method was using 0.5% (w/v) CSO (diluted by pH 3 Acetic acid buffer) mixed with 0.5% (w/v) SP (diluted by pH 6 buffer) by 9:1 ratio. Afterwards, using high-speed mixer at 12,000 rpm for 3 min, and then passed 2 times through an ultrasonicator (50% power, 3 min). In this way for processing, the particle sizes of CSO/SP nanoparticles were approximately 300 nm, zeta-potential were approximately 45 mV. In addition, the EE% and RR of CS/SP nanoparticles was higher than the CSO/SP nanoparticles. The increase in antioxidant ability of SP was attributed to the affected by CS/CSO microcapsules. In conclusion, this research can befoundation for the manufacturing process of CS/SP nanoparticles, and it was expected that the future application of this nanoparticle in food matrix.
Jingjing Zhang,Yeong-Min Park,Xing Yan Tan,Mun Ki Bae,Dong Jun Kim,Tae Hwan Jang,Min Su Kim,Seung Whan Lee,김태규 한양대학교 세라믹연구소 2019 Journal of Ceramic Processing Research Vol.20 No.6
Pigments with minute particle sizes, such as carbon black (CB) and pigment red 48:2 (P.R.48:2), are the most important types of pigment and have been widely used in many industrial applications. However, minute particles have large surface areas, high oil absorption and low surface energy. They therefore tend to be repellent to the vehicle and lose stability, resulting in significant increases in viscosity or reaggregation in the vehicle. Therefore, finding the best way to improve the dispersion properties of minute particle size pigments presents a major technical challenge. In this study, minute particle types of CB and P.R.48:2 were treated with nitrogen gas plasma generated via radio frequency-plasma enhanced chemical vapor deposition (RF-PECVD) to increase the dispersion properties of minute particles in deionized (DI) water. The morphologies and particle sizes of untreated and plasma treated particles were evaluated using scanning electron microscopy (SEM) and atomic force microscopy (AFM). The average distributions of particle size were measured using a laser particle sizer. Fourier transform infrared spectroscopy was carried out on the samples to identify changes in molecular interactions during plasma processing. The results of our analysis indicate that N2 plasma treatment is an effective method for improving the dispersibility of minute particles of pigment in DI water.
Evaluation of Internet-Based Interventions on Waist Circumference Reduction: A Meta-Analysis
Seo, Dong-Chul,Niu, Jingjing JMIR Publications Inc. 2015 Journal of medical Internet research Vol.17 No.7
<P><B>Background</B></P><P>Internet-based interventions are more cost-effective than conventional interventions and can provide immediate, easy-to-access, and individually tailored support for behavior change. Waist circumference is a strong predictor of an increased risk for a host of diseases, such as hypertension, diabetes, and dyslipidemia, independent of body mass index. To date, no study has examined the effect of Internet-based lifestyle interventions on waist circumference change.</P><P><B>Objective</B></P><P>This study aimed to systematically review the effect of Internet-based interventions on waist circumference change among adults.</P><P><B>Methods</B></P><P>This meta-analysis reviewed randomized controlled trials (N=31 trials and 8442 participants) that used the Internet as a main intervention approach and reported changes in waist circumference.</P><P><B>Results</B></P><P>Internet-based interventions showed a significant reduction in waist circumference (mean change –2.99 cm, 95% CI −3.68 to −2.30, I<SUP>2</SUP>=93.3%) and significantly better effects on waist circumference loss (mean loss 2.38 cm, 95% CI 1.61-3.25, I<SUP>2</SUP>=97.2%) than minimal interventions such as information-only groups. Meta-regression results showed that baseline waist circumference, gender, and the presence of social support in the intervention were significantly associated with waist circumference reduction.</P><P><B>Conclusions</B></P><P>Internet-based interventions have a significant and promising effect on waist circumference change. Incorporating social support into an Internet-based intervention appears to be useful in reducing waist circumference. Considerable heterogeneity exists among the effects of Internet-based interventions. The design of an intervention may have a significant impact on the effectiveness of the intervention.</P>
Lung Sounds Signal Separation Model of Medical Monitoring Based on Wireless Sensor Network
Beibei Dong,Bing Han,Jingjing Yang,Wei Peng 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.12
According to the present medical monitoring system still exist the problems such as low accuracy of the condition judgment and the less range of data transmission, a kind of lung sounds signal separation model of medical monitoring is put forward based on wireless sensor network. First, using the optimization strategy of the flying speed and the effect between particles to two-way optimization for particle swarm optimization algorithm (PSOA), and then applied it to the blind source separation of lung sounds signal, in order to improve the precision of the blind source separation of lung sound signals, then carried on the optimization of artificial fish behavior through tabu search, did coverage optimization for wireless sensor network by using the improved algorithm, to expand the scope of wireless data transmission. As the simulation experiments results showed that, the proposed lung sounds signal separation model of medical monitoring based on wireless sensor network had good accuracy and large range of data transmission, and deserved to be popularized and used.
Medical Monitoring Model of Internet of Things Based on the Adaptive Threshold Difference Algorithm
Beibei Dong,Jingjing Yang,Yanli Ma,Xiao Zhang 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.5
There are still problems such as low detection accuracy and poor noise immunity in the application of the standard threshold difference algorithm in the signal detection of electrocardiosignal (ECG), in this paper, a medical monitoring model based on the adaptive threshold difference is proposed. First we use a nonlinear filter to filter the P wave and T wave which are low frequency in ECG signal. Then complex wave QRS will be tested. Then the algorithm will be more accuracy through the detection of the R-R interval length and the adjustment of threshold. Finally, the ECG signal will be test with quadratic spline wavelet twice, and the error judgment will be known through adaptive threshold difference. In the simulation experiments, after judging error by wavelet transformation and making the standard threshold difference algorithm optimize adaptively, algorithm showed excellent detection accuracy with and without noise.
Wen Dong,Xiguang Liu,Shunfang Zhu,Di Lu,Kaican Cai,Ruijun Cai,Qing Li,Jingjing Zeng,Mei Li 한국영양학회 2020 Nutrition Research and Practice Vol.14 No.1
BACKGROUND/OBJECTIVES: Malnutrition has multiple impacts on surgical success, postoperative complications, duration of hospital stay, and costs, particularly for cancer patients. There are various nutrition risk screening tools available for clinical use. Herein, we aim to determine the most appropriate nutritional risk screening system for esophageal cancer (EC) patients in China. SUBJECTS/METHODS: In total, 138 EC patients were enrolled in this study and evaluated by experienced nurses using three different nutritional screening tools, the Nutrition Risk Screening 2002 tool (NRS2002), the Patient-generated Subjective Globe Assessment (PG-SGA), and the Nutrition Risk Index (NRI).We compared sensitivity, specificity, positive and negative likelihood ratios, and Youden index generated by each of the three screening tools. Finally, cut-off points for all three tools were re-defined to optimize and validate the best nutritional risk screening tool for assessing EC patients. RESULTS: Our data suggested that all three screening tools were 100% sensitive for EC patients, while the specificities were 44.4%, 2.96%, and 59.26% for NRS 2002, PG-SGA, and NRI, respectively. NRI had a higher positive likelihood ratio as well as a higher area under the receiver operating characteristic curve compared to those of NRS 2002 and PG-SGA; although, all three tools had null negative likelihood ratios. After adjusting the cut-off points, the specificity and accuracy for all tools were significantly improved, however, the NRI remained the most appropriate nutritional risk screening system for EC patients. CONCLUSIONS: The NRI is the most suitable (highest sensitivity and accuracy) nutritional risk screening tool for EC patients. The performance of the NRI can be significantly improved if the cut-off point is modified according to the results obtained using MedCalc software.
Tao Liu,Jingjing Dong,Chaonan Ye,Xianyan Wu,Wei Fan,Linlin Lu,Jingyu Kang,Xingzhong Gao,Baozhong Sun,Honglei Yi 한국섬유공학회 2022 Fibers and polymers Vol.23 No.12
In this work, the bending modal properties of three-dimensional (3D) braided composites were investigated withthe experimental and numerical methods. Three braided angles were selected to study the braided angle effect on the modalbehavior of 3D braided composites. According to the experimental parameters, a homogeneous model containing the interior,surface and corner representative unit cells of the braided composites were proposed to compute the elastic constants of eachcomposite. Besides, the fiber breakage defects were introduced to the homogeneous model to improve the accuracy ofpredicting the modal behavior of the braided composite. The results indicate that the increase of the braided angle and thefiber breakage defects could apparently reduce the natural frequency of the braided composite. The modal propertiessimulated by the homogeneous models containing some fiber breakage defects could fit well with the correspondingexperimental results. The proposed method to create the homogenous model can be used to predict the modal behavior of the3D braided composites.