48 results on '"Jayeon, Yoo"'
Search Results
2. ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection.
- Author
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Joonhyun Jeong, Geondo Park, Jayeon Yoo, Hyungsik Jung, and Heesu Kim
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- 2024
- Full Text
- View/download PDF
3. Whole genome sequencing of Lacticaseibacillus casei KACC92338 strain with strong antioxidant activity, reveals genes and gene clusters of probiotic and antimicrobial potential
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Sujatha Kandasamy, Kil-Ho Lee, Jayeon Yoo, Jeonghee Yun, Han Byul Kang, Ji Eun Kim, Mi-Hwa Oh, and Jun-Sang Ham
- Subjects
Lacticaseibacillus ,antioxidant ,probiotics ,whole genome sequencing ,bacteriocin ,stress-related proteins ,Microbiology ,QR1-502 - Abstract
Lacticaseibacillus casei KACC92338 was originally isolated from Korean raw milk. The antioxidant activities and protective effect in vitro of this strain were evaluated extensively. The results showed that KACC92338 can tolerate hydrogen peroxide up to 2 mM and cell-free supernatant (CFS) had higher scavenging rates for DPPH, hydroxyl radical, reducing power, and iron chelating activities with 95.61 ± 1.59%, 34.10 ± 1.93%, 2.220 ± 0.82 and 81.06 ± 1.06%, respectively. Meanwhile, the CFS showed a protective effect on yeast cells against 10 mM hydrogen peroxide with a survival rate of 76.05 ± 5.65%. To explore the probiotic potential of KACC92338, whole genome assembly and gene clusters with probiotic properties were further analyzed. The genome size was 3,050,901 bp with a 47.96% GC ratio, and 63 contigs. The genome contains 3,048 genes composed of 2,981 coding sequences and 67 RNAs (including 57 tRNAs +9 rRNAs +1 tmRNA). Average Nucleotide Identity and genome-based taxonomy showed that the KACC92338 genome had close similarity with L. casei strains with 96% ANI. Functional annotation by EggNOG and KEGG revealed the presence of numerous genes putatively involved in carbohydrate- and amino acid-transport and metabolism, genetic information processing, and signaling and cellular processes. Additionally, several genes conferring probiotic characteristics such as tolerance to stress, heat, cold, acid, bile salts, oxidative stress, immunomodulation, and adhesion to intestinal epithelium were identified. Notably absent were acquired antibiotic resistance genes, virulence, and pathogenic factors, that prove KACC92338 is a safe strain. Besides, the defense mechanisms of KACC92338 include six prophage regions and three clustered regularly interspaced short palindromic repeat (CRISPR) arrays as acquired immune systems against mobile elements. Further, the BAGEL4 database determined antimicrobial bacteriocin clusters of class IIb: sakacin-P, Enterolysin_A, sactipeptides, and Enterocin X, which suggests the strain could exhibit a wide range of antimicrobial functions. Together, these findings show that the L. casei KACC92338 strain can be a potential probiotic candidate in producing functional fermented foods-, health care- and skin care products- with antioxidant properties. However, a few more mechanistic studies are necessary on the safety assurance and potential application of the strain as a probiotic agent.
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- 2024
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- View/download PDF
4. HRMAS-NMR-Based Metabolomics Approach to Discover Key Differences in Cow and Goat Milk Yoghurt Metabolomes
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Sujatha Kandasamy, Won-Seo Park, In-Seon Bae, Jayeon Yoo, Jeonghee Yun, Van-Ba Hoa, and Jun-Sang Ham
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cow milk yoghurt ,goat milk yoghurt ,metabolites ,HRMAS-NMR ,enrichment analysis ,Chemical technology ,TP1-1185 - Abstract
This study highlights the differences in the metabolomes of cow milk yoghurt (CY) and goat milk yoghurt (GY) using a nuclear magnetic resonance (NMR)-based metabolomic approach. The 1H HRMAS-NMR spectrum displayed 21 metabolites comprising organic acids, sugars, amino acids, amino acid derivatives and phospholipids. The orthogonal partial least squares discriminant analysis model clearly separated CY and GY groups, implying differences in metabolite composition. The corresponding Variable Importance in Projection (VIP) plot revealed that choline, sn-glycero-3-phosphocholine, O-phosphocholine, fucose, citrate, sucrose, glucose and lactose mainly contributed to the group separation (VIP > 1). Hierarchical cluster analysis further confirmed the metabolome similarities and differences between CY and GY. Additionally, 12 significantly differential metabolites (with a fold change > 1.5 and p-value < 0.05) were identified, with 1 downregulated and 11 upregulated. Pathway impact analysis revealed the correlation of significant metabolites with starch and sucrose metabolism, galactose metabolism, and the citrate cycle. Furthermore, receiver operating characteristic curve analysis identified eight metabolites (choline, sn-glycero-3-phosphocholine, fucose, O-phosphocholine, glucose, citrate, 2-oxoglutarate, lactose and sucrose) as candidate biomarkers. This study represents the first utilization of HRMAS-NMR to analyze the metabolomic profiles of yoghurt made from cow and goat milk. In conclusion, these findings provide preliminary information on how NMR-based metabolomics can discriminate the metabolomes of yoghurt prepared from the milk of two different animals, which may be valuable for authenticity and adulteration assessments.
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- 2024
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5. Finding Efficient Pruned Network via Refined Gradients for Pruned Weights.
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Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, and Nojun Kwak
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- 2023
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6. Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation.
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Inseop Chung, Jayeon Yoo, and Nojun Kwak
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- 2023
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7. Mitigating the Bias in the Model for Continual Test-Time Adaptation.
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Inseop Chung, Kyomin Hwang, Jayeon Yoo, and Nojun Kwak
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- 2024
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8. HourglassNeRF: Casting an Hourglass as a Bundle of Rays for Few-shot Neural Rendering.
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Seunghyeon Seo, Yeonjin Chang, Jayeon Yoo, Seungwoo Lee, Hojun Lee 0002, and Nojun Kwak
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- 2024
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9. Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to Bounding Box.
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Jayeon Yoo, Inseop Chung, and Nojun Kwak
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- 2022
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10. SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning.
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Junhoo Lee, Jayeon Yoo, and Nojun Kwak
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- 2023
11. Whole genome sequencing of Lacticaseibacillus casei KACC92338 strain with strong antioxidant activity, reveals genes and gene clusters of probiotic and antimicrobial potential.
- Author
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Kandasamy, Sujatha, Kil-Ho Lee, Jayeon Yoo, Jeonghee Yun, Han Byul Kang, Ji Eun Kim, Mi-Hwa Oh, and Jun-Sang Ham
- Subjects
MOBILE genetic elements ,WHOLE genome sequencing ,INTESTINAL mucosa ,GENOME size ,IRON chelates - Abstract
Lacticaseibacillus casei KACC92338 was originally isolated from Korean raw milk. The antioxidant activities and protective effect in vitro of this strain were evaluated extensively. The results showed that KACC92338 can tolerate hydrogen peroxide up to 2 mM and cell-free supernatant (CFS) had higher scavenging rates for DPPH, hydroxyl radical, reducing power, and iron chelating activities with 95.61 ± 1.59%, 34.10 ± 1.93%, 2.220 ± 0.82 and 81.06 ± 1.06%, respectively. Meanwhile, the CFS showed a protective effect on yeast cells against 10 mM hydrogen peroxide with a survival rate of 76.05 ± 5.65%. To explore the probiotic potential of KACC92338, whole genome assembly and gene clusters with probiotic properties were further analyzed. The genome size was 3,050,901 bp with a 47.96% GC ratio, and 63 contigs. The genome contains 3,048 genes composed of 2,981 coding sequences and 67 RNAs (including 57 tRNAs +9 rRNAs +1 tmRNA). Average Nucleotide Identity and genome-based taxonomy showed that the KACC92338 genome had close similarity with L. casei strains with 96% ANI. Functional annotation by EggNOG and KEGG revealed the presence of numerous genes putatively involved in carbohydrate- and amino acid-transport and metabolism, genetic information processing, and signaling and cellular processes. Additionally, several genes conferring probiotic characteristics such as tolerance to stress, heat, cold, acid, bile salts, oxidative stress, immunomodulation, and adhesion to intestinal epithelium were identified. Notably absent were acquired antibiotic resistance genes, virulence, and pathogenic factors, that prove KACC92338 is a safe strain. Besides, the defense mechanisms of KACC92338 include six prophage regions and three clustered regularly interspaced short palindromic repeat (CRISPR) arrays as acquired immune systems against mobile elements. Further, the BAGEL4 database determined antimicrobial bacteriocin clusters of class IIb: sakacin-P, Enterolysin_A, sactipeptides, and Enterocin X, which suggests the strain could exhibit a wide range of antimicrobial functions. Together, these findings show that the L. casei KACC92338 strain can be a potential probiotic candidate in producing functional fermented foods-, health care- and skin care products-with antioxidant properties. However, a few more mechanistic studies are necessary on the safety assurance and potential application of the strain as a probiotic agent. [ABSTRACT FROM AUTHOR]
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- 2024
- Full Text
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12. ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection.
- Author
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Joonhyun Jeong, Geondo Park, Jayeon Yoo, Hyungsik Jung, and Heesu Kim
- Published
- 2023
- Full Text
- View/download PDF
13. What, How, and When Should Object Detectors Update in Continually Changing Test Domains?
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Jayeon Yoo, Dongkwan Lee, Inseop Chung, Donghyun Kim, and Nojun Kwak
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- 2023
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14. Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation.
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Hyojin Park 0001, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, and Nojun Kwak
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- 2021
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15. Adaptive Template and Transition Map for Real-Time Video Object Segmentation.
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Hyojin Park 0001, Jayeon Yoo, Ganesh Venkatesh, and Nojun Kwak
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- 2021
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16. Characterisation of fungal contamination sources for use in quality management of cheese production farms in Korea
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Sujatha Kandasamy, Won Seo Park, Jayeon Yoo, Jeonghee Yun, Han Byul Kang, Kuk-Hwan Seol, Mi-Hwa Oh, and Jun Sang Ham
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fungal diversity ,cheese ripening rooms ,dairy farms ,contaminant sources ,Animal culture ,SF1-1100 ,Animal biochemistry ,QP501-801 - Abstract
Objective This study was conducted to determine the composition and diversity of the fungal flora at various control points in cheese ripening rooms of 10 dairy farms from six different provinces in the Republic of Korea. Methods Floor, wall, cheese board, room air, cheese rind and core were sampled from cheese ripening rooms of ten different dairy farms. The molds were enumerated using YM petrifilm, while isolation was done on yeast extract glucose chloramphenicol agar plates. Morphologically distinct isolates were identified using sequencing of internal transcribed spacer region. Results The fungal counts in 8 out of 10 dairy farms were out of acceptable range, as per hazard analysis critical control point regulation. A total of 986 fungal isolates identified and assigned to the phyla Ascomycota (14 genera) and Basidiomycota (3 genera). Of these Penicillium, Aspergillus, and Cladosporium were the most diverse and predominant. The cheese ripening rooms was overrepresented in 9 farms by Penicillium (76%), while Aspergillus in a single farm. Among 39 species, the prominent members were Penicillium commune, P. oxalicum, P. echinulatum, and Aspergillus versicolor. Most of the mold species detected on surfaces were the same found in the indoor air of cheese ripening rooms. Conclusion The environment of cheese ripening rooms persuades a favourable niche for mold growth. The fungal diversity in the dairy farms were greatly influenced by several factors (exterior atmosphere, working personnel etc.,) and their proportion varied from one to another. Proper management of hygienic and production practices and air filtration system would be effective to eradicate contamination in cheese processing industries.
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- 2020
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17. Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation.
- Author
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Inseop Chung, Jayeon Yoo, and Nojun Kwak
- Published
- 2021
18. Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights.
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Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, and Nojun Kwak
- Published
- 2021
19. Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation.
- Author
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Hyojin Park 0001, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, and Nojun Kwak
- Published
- 2020
20. Rapid Discrimination and Authentication of Korean Farmstead Mozzarella Cheese through MALDI-TOF and Multivariate Statistical Analysis
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Sujatha Kandasamy, Jayeon Yoo, Jeonghee Yun, Han-Byul Kang, Kuk-Hwan Seol, and Jun-Sang Ham
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domestic cheeses ,mass spectrometry ,geographical origin ,protein fingerprints ,cheese authentication ,Microbiology ,QR1-502 - Abstract
Geographical origin and authenticity are the two crucial factors that propel overall cheese perception in terms of quality and price; therefore, they are of great importance to consumers and commercial cheese producers. Herein, we demonstrate a rapid, accurate method for discrimination of domestic and import mozzarella cheeses in the Republic of Korea by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). The protein profiles’ data aided by multivariate statistical analysis successfully differentiated farmstead and import mozzarella cheeses according to their geographical location of origin. A similar investigation within domestic samples (farmsteads/companies) also showed clear discrimination regarding the producer. Using the biomarker discovery tool, we identified seven distinct proteins, of which two (m/z 7407.8 and 11,416.6) were specific in farmstead cheeses, acting as potential markers to ensure authentication and traceability. The outcome of this study can be a good resource in building a database for Korean domestic cheeses. This study also emphasizes the combined utility of MALDI-TOF MS and multivariate analysis in preventing fraudulent practices, thereby ensuring market protection for Korean farmstead cheeses.
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- 2021
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21. Quantitative Analysis of Biogenic Amines in Different Cheese Varieties Obtained from the Korean Domestic and Retail Markets
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Sujatha Kandasamy, Jayeon Yoo, Jeonghee Yun, Han Byul Kang, Kuk-Hwan Seol, and Jun-Sang Ham
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biogenic amines ,cheese ,high-performance liquid chromatography with a diode-array detector (HPLC-DAD) ,toxicity ,risk assessment ,Microbiology ,QR1-502 - Abstract
To evaluate the safety and risk assessment of cheese consumption in the Republic of Korea, sixty cheese samples purchased from the farmstead and retails markets (imported) were analyzed for their biogenic amine (BA) contents. The BA profiles and quantities of eight amines (tryptamine, 2-phenylethylamine, putrescine, cadaverine, histamine, tyramine, spermidine, and spermine) were determined using high-performance liquid chromatography (HPLC). Spermine was the only amine detectable in all the samples. The BAs of fresh cheeses from both farmstead and retail markets were mostly undetectable, and comparatively at lower levels (1000 mg/kg, of which histamine accounts nearly 86 and 77% of the total levels, respectively. The tolerable limits of the potential toxic amines, histamine and tyramine surpassed in four and three imported ripened samples, respectively. Furthermore, the presence of potentiators (putrescine and cadaverine) together in samples even with a lower level of toxic amines alarms the risk in consumption. Therefore, adoption of strict hygienic practices during the entire chain of cheese production, along with obligatory monitoring and regulation of BA in cheeses seems to be mandatory to ensure the safety of the consumers.
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- 2021
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22. Probiogenomic In-Silico Analysis and Safety Assessment of Lactiplantibacillus plantarum DJF10 Strain Isolated from Korean Raw Milk
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Sujatha Kandasamy, Jayeon Yoo, Jeonghee Yun, Kil-Ho Lee, Han-Byul Kang, Ji-Eun Kim, Mi-Hwa Oh, and Jun-Sang Ham
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Inorganic Chemistry ,Organic Chemistry ,General Medicine ,Physical and Theoretical Chemistry ,Molecular Biology ,Lactobacillus ,probiotic ,whole genome sequence ,bacteriocin ,stress-related enzymes ,safety assessment ,mobile genetic elements ,Spectroscopy ,Catalysis ,Computer Science Applications - Abstract
The whole genome sequence of Lactiplantibacillus plantarum DJF10, isolated from Korean raw milk, is reported, along with its genomic analysis of probiotics and safety features. The genome consists of 29 contigs with a total length of 3,385,113 bp and a GC content of 44.3%. The average nucleotide identity and whole genome phylogenetic analysis showed the strain belongs to Lactiplantibacillus plantarum with 99% identity. Genome annotation using Prokka predicted a total of 3235 genes, including 3168 protein-coding sequences (CDS), 59 tRNAs, 7 rRNAs and 1 tmRNA. The functional annotation results by EggNOG and KEGG showed a high number of genes associated with genetic information and processing, transport and metabolism, suggesting the strain’s ability to adapt to several environments. Various genes conferring probiotic characteristics, including genes related to stress adaptation to the gastrointestinal tract, biosynthesis of vitamins, cell adhesion and production of bacteriocins, were identified. The CAZyme analysis detected 98 genes distributed under five CAZymes classes. In addition, several genes encoding carbohydrate transport and metabolism were identified. The genome also revealed the presence of insertion sequences, genomic islands, phage regions, CRISPR-cas regions, and the absence of virulence and toxin genes. However, the presence of hemolysin and antibiotic-resistance-related genes detected in the KEGG search needs further experimental validation to confirm the safety of the strain. The presence of two bacteriocin clusters, sactipeptide and plantaricin J, as detected by the BAGEL 4 webserver, confer the higher antimicrobial potential of DJF10. Altogether, the analyses in this study performed highlight this strain's functional characteristics. However, further in vitro and in vivo studies are required on the safety assurance and potential application of L. plantarum DJF10 as a probiotic agent.
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- 2022
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23. Gut Microbiome and Alzheimer’s Disease
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Hyoun Wook Kim, Jayeon Yoo, Jun-Sang Ham, Jeonghee Yun, Mi-Hwa Oh, and Kuk-Hwan Seol
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Amyloid ,Immunology ,Disease ,Biology ,Gut microbiome - Published
- 2021
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24. Quality characteristics of string cheese added with red ginseng powder
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Jayeon Yoo, Jun-Sang Ham, Kuk-Hwan Seol, Jeonghee Yun, and Jeongshin Choi
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Ginseng ,String (computer science) ,Food science ,Quality characteristics ,Food Science ,Mathematics - Abstract
According to health functional food law in Korea, red ginseng is classified as a health functional ingredient. In order to establish the optimal manufacturing condition of red ginseng string cheese, red ginseng powder was added to string cheese in different manufacturing processes which are raw milk before pasteurization (T1), curd before stretching (T2), and hot water for stretching curd (T3), respectively. After 2 weeks of storage period, the hardness of control cheese was lowest and decreased, as compared to 0 week, while the hardness of all string cheese with red ginseng powder was maintained (p
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- 2021
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25. Deep Learning Model for Real-Time Prediction of Intradialytic Hypotension
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Hojun Lee, KiYoon Yoo, Kwon Wook Joo, Kook Hwan Oh, Jayeon Yoo, Dong Ki Kim, Yong Chul Kim, Yon Su Kim, Donghwan Yun, Seung Seok Han, and Nojun Kwak
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Male ,medicine.medical_specialty ,Epidemiology ,Vital signs ,Real time prediction ,Critical Care and Intensive Care Medicine ,Random Allocation ,Deep Learning ,Computer Systems ,Renal Dialysis ,Internal medicine ,medicine ,Humans ,Aged ,Retrospective Studies ,Transplantation ,Receiver operating characteristic ,business.industry ,Deep learning ,Editorials ,Middle Aged ,Models, Theoretical ,Confidence interval ,Recurrent neural network ,Nephrology ,Cardiology ,Female ,Artificial intelligence ,Hypotension ,Intradialytic hypotension ,business ,Recurrent neural network model ,Forecasting - Abstract
Background and objectives Intradialytic hypotension has high clinical significance. However, predicting it using conventional statistical models may be difficult because several factors have interactive and complex effects on the risk. Herein, we applied a deep learning model (recurrent neural network) to predict the risk of intradialytic hypotension using a timestamp-bearing dataset. Design, setting, participants, & measurements We obtained 261,647 hemodialysis sessions with 1,600,531 independent timestamps (i.e., time-varying vital signs) and randomly divided them into training (70%), validation (5%), calibration (5%), and testing (20%) sets. Intradialytic hypotension was defined when nadir systolic BP was Results The recurrent neural network model for predicting intradialytic hypotension 1 achieved an area under the receiver operating characteristic curve of 0.94 (95% confidence intervals, 0.94 to 0.94), which was higher than those obtained using the other models (P Conclusions Our deep learning model can be used to predict the real-time risk of intradialytic hypotension.
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- 2021
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26. Effects of Gouda cheese and Allium hookeri on thermogenesis in mice
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Kee K. Kim, Eun-Mi Kim, Myoung Soo Nam, Jayeon Yoo, Sang Soo Lee, and Yong-An Kim
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0301 basic medicine ,Whey protein ,lcsh:TX341-641 ,cheese ,03 medical and health sciences ,chemistry.chemical_compound ,Gouda cheese ,food ,Nutrient ,white adipose tissue ,Brown adipose tissue ,medicine ,gastrocnemius muscle ,Food science ,food.cheese ,Allium hookeri ,030109 nutrition & dietetics ,biology ,Triglyceride ,Chemistry ,brown adipose tissue ,thermogenesis ,Metabolism ,biology.organism_classification ,030104 developmental biology ,medicine.anatomical_structure ,lcsh:Nutrition. Foods and food supply ,Thermogenesis ,Food Science - Abstract
Cheese contains various beneficial nutrients, including calcium and whey protein, as well as large amounts of saturated fatty acids. Thus, intake of cheese increases the production of low‐density lipoprotein‐cholesterol (LDL‐C), a well‐defined risk factor for cardiovascular disease. Therefore, identification of natural products that inhibit LDL‐C production following cheese intake and verification of the efficacy of such products in animal models are essential. Here, we evaluated the effects of Allium hookeri, a well‐known traditional herbal remedy, on metabolism and thermogenesis in mice consuming a cheese‐containing diet. Intake of A. hookeri extracts significantly blocked increases in body weight and fat mass caused by intake of Gouda cheese in mice. Additionally, increases in blood triglyceride levels following intake of Gouda cheese were alleviated by A. hookeri. Moreover, intake of Gouda cheese enhanced thermogenesis efficiency. Thus, A. hookeri may have applications as an important additive for reducing the risk of metabolic disease resulting from cheese consumption.
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- 2021
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27. Adaptive Template and Transition Map for Real-Time Video Object Segmentation
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Nojun Kwak, Ganesh Venkatesh, Jayeon Yoo, and Hyojin Park
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Propagation of uncertainty ,Matching (statistics) ,Speedup ,video object tracking ,General Computer Science ,business.industry ,Computer science ,Template matching ,General Engineering ,deep learning ,Object (computer science) ,Field (computer science) ,TK1-9971 ,Benchmark (computing) ,General Materials Science ,Segmentation ,Computer vision ,Artificial intelligence ,Semi-supervised video object segmentation ,Electrical engineering. Electronics. Nuclear engineering ,business ,video object segmentation - Abstract
Semi-supervised video object segmentation (semi-VOS) is required for many visual applications. This task is tracking class-agnostic objects from a given segmentation mask. Various approaches have been developed and achieved high accuracy in this field, but these previous models are hard to be utilized in real-world applications due to slow inference time and tremendous complexity. To significantly speed up inference while reducing performance gaps from those previous models, we introduce a fast segmentation model based on a template matching method and auxiliary loss with a transition map. Our template matching method consists of short-term and long-term matching. The short-term matching enhances target object localization by focusing on neighboring frames, while long-term matching improves fine details and handles object shape-changing by considering long-range frames. However, since both matching processes generate each template based on the previously estimated masks, this incurs error propagation for tracking objects in the next frames. To mitigate this problem, we add auxiliary loss with a newly proposed transition map for encouraging correction power to create accurate masks of the target object. Our model obtains $81.1\%~J\&F$ score at the speed of 78.3 FPS on the DAVIS16 benchmark and achieves $1.4\times $ faster speed and 11.3% higher accuracy than SiamMask, one of the fast semi-VOS models.
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- 2021
28. Oxidative Stress and Alzheimer’s Disease
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Jeonghee Yun, Jun-Sang Ham, Kuk-Hwan Seol, Jayeon Yoo, and Mi-Hwa Oh
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chemistry.chemical_classification ,medicine.medical_specialty ,Reactive oxygen species ,Endocrinology ,chemistry ,Internal medicine ,medicine ,Disease ,medicine.disease_cause ,Oxidative stress - Published
- 2020
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29. Preventive Effects of Dairy Products on Dementia and Cognitive Decline
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Mi-Hwa Oh, Kuk-Hwan Seol, Jeonghee Yun, Jun-Sang Ham, and Jayeon Yoo
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Gerontology ,business.industry ,medicine ,Dementia ,Cognitive decline ,medicine.disease ,business ,General Economics, Econometrics and Finance - Published
- 2020
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30. Expression and Purification of Extracellular Solute-Binding Protein (ESBP) in Escherichia coli, the Extracellular Protein Derived from Bifidobacterium longum KACC 91563
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Bu-Min Kim, Hyaekang Kim, Minyu Song, Woori Kwak, Sun-Moon Kang, Ham Jun-Sang, Won Park, Jin Hyoung Kim, Mi-Hwa Oh, Heebal Kim, Hoa Van Ba, Han-Byul Kang, and Jayeon Yoo
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Bifidobacterium longum ,biology ,Chemistry ,Binding protein ,0402 animal and dairy science ,04 agricultural and veterinary sciences ,Extracellular vesicle ,Molecular cloning ,biology.organism_classification ,medicine.disease_cause ,040201 dairy & animal science ,03 medical and health sciences ,0302 clinical medicine ,Biochemistry ,Affinity chromatography ,Protein purification ,030221 ophthalmology & optometry ,medicine ,Extracellular ,Animal Science and Zoology ,Food science ,Escherichia coli ,Food Science - Abstract
Bifidobacterium longum KACC 91563 secretes family 5 extracellular solute-binding protein via extracellular vesicle. In our previous work, it was demonstrated that the protein effectively alleviated food allergy symptoms via mast cell specific apoptosis, and it has revealed a therapeutic potential of this protein in allergy treatment. In the present study, we cloned the gene encoding extracellular solute-binding protein of the strain into the histidine-tagged pET-28a(+) vector and transformed the resulting plasmid into the Escherichia coli strain BL21 (DE3). The histidine-tagged extracellular solute-binding protein expressed in the transformed cells was purified using Ni-NTA affinity column. To enhance the efficiency of the protein purification, three parameters were optimized; the host bacterial strain, the culturing and induction temperature, and the purification protocol. After the process, two liters of transformed culture produced 7.15 mg of the recombinant proteins. This is the first study describing the production of extracellular solute-binding protein of probiotic bacteria. Establishment of large-scale production strategy for the protein will further contribute to the development of functional foods and potential alternative treatments for allergies.
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- 2019
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31. Microbiological Characteristics of Gouda Cheese Manufactured with Pasteurized and Raw Milk during Ripening Using Next Generation Sequencing
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Jayeon Yoo, Younghoon Kim, Jun-Sang Ham, Won-Seo Park, Seok-Geun Jeong, and Sangnam Oh
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Pasteurization ,Cheese ripening ,Biology ,Article ,law.invention ,03 medical and health sciences ,0302 clinical medicine ,Starter ,Gouda cheese ,food ,law ,Leuconostoc ,Food science ,food.cheese ,raw milk ,0402 animal and dairy science ,Ripening ,04 agricultural and veterinary sciences ,Raw milk ,biology.organism_classification ,040201 dairy & animal science ,Coliform bacteria ,texture property ,030221 ophthalmology & optometry ,Animal Science and Zoology ,fatty acid ,microbial community ,Food Science - Abstract
Gouda cheese, one of most popular cheeses in the Korea, has been produced from only pasteurized milk in Korean dairy farms. Recently, it has become legally possible to produce ripened cheese manufactured with raw milk in Korea. In the present study, we investigated the physico-chemical and microbiological characteristics of Gouda cheese manufactured with raw (R-GC) or pasteurized milk (P-GC) during manufacturing and ripening. Particularly, this study characterized the bacterial community structure of two cheese types, which are produced without pasteurization during ripening based on next generation sequencing of 16S rRNA gene amplicons. During ripening, protein and fat content increased slightly, whereas moisture content decreased in both P-GC and R-GC. At the 6 wk of ripening, R-GC became softer and smoother and hence, the values of hardness and gumminess, chewiness in R-GC was lower than that of P-GC. Metagenomic analysis revealed that the bacterial genera used a starter cultures, namely Lactococcus and Leuconostoc were predominant in both P-GC and R-GC. Moreover, in R-GC, the proportion of coliform bacteria such as Escherichia, Leclercia, Raoultella, and Pseudomonas were detected initially but not during ripening. Taken together, our finding indicates the potential of manufacturing with Gouda cheese from raw milk and the benefits of next generation sequencing for microbial community composition during cheese ripening.
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- 2019
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32. Inhibitory Activity of Lactic Acid Bacteria against Fungal Spoilage
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un-Sang Ham, Jeonghee Yun, Kuk-Hwan Seol, Jayeon Yoo, and Mi-Hwa Oh
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chemistry.chemical_compound ,biology ,Chemistry ,Food spoilage ,Fermentation ,Food science ,Biopreservation ,biology.organism_classification ,Inhibitory postsynaptic potential ,Bacteria ,Lactic acid - Published
- 2019
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33. Betaine, a component of
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Sang-Soo, Lee, Yong-An, Kim, Bokkee, Eun, Jayeon, Yoo, Eun-Mi, Kim, Myoung Soo, Nam, and Kee K, Kim
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cheese ,sarcopenia ,Lycium chinense ,gastrocnemius muscle ,myogenesis ,musculoskeletal system ,Original Research - Abstract
Sarcopenia is a disease characterized by the loss of muscle mass and function that occurs mainly in older adults. The present study was designed to investigate the hypothesis that water extract of Lycium chinense (WELC) would improve muscle function and promote myogenesis for sarcopenia. We investigated the effect of water extracts of L. chinense on muscular endurance function and myogenesis to examine its efficacy in sarcopenia. Intake of WELC‐containing cheese enhanced the muscular endurance function of mice in treadmill endurance tests. In addition, the cross‐sectional areas of muscle fibers in the gastrocnemius muscle of L. chinense‐fed mice were greater than that of control mice. Furthermore, WELC and its key component marker substance betaine promoted myogenesis of myoblasts by increasing the expression of the myogenic protein myosin heavy chain 3 (Myh3) and myotube formation. Taken together, our results suggest that L. chinense may potentially be useful in the development of preventive and therapeutic agents for sarcopenia, as well as in providing basic knowledge on myogenesis and muscular functions., WELC and its key component marker substance betaine promoted myogenesis of myoblasts by increasing the expression of the myogenic protein myosin heavy chain 3 (Myh3) and myotube formation. L. chinense may potentially be useful in the development of preventive and therapeutic agents for sarcopenia, as well as in providing basic knowledge on myogenesis and muscular functions.
- Published
- 2021
34. Rapid Discrimination and Authentication of Korean Farmstead Mozzarella Cheese through MALDI-TOF and Multivariate Statistical Analysis
- Author
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Jeonghee Yun, Sujatha Kandasamy, Kuk-Hwan Seol, Jun-Sang Ham, Han-Byul Kang, and Jayeon Yoo
- Subjects
0301 basic medicine ,Multivariate analysis ,Traceability ,Endocrinology, Diabetes and Metabolism ,01 natural sciences ,Biochemistry ,Microbiology ,Article ,protein fingerprints ,03 medical and health sciences ,Molecular Biology ,mass spectrometry ,geographical origin ,business.industry ,010401 analytical chemistry ,domestic cheeses ,cheese authentication ,Authentication (law) ,QR1-502 ,0104 chemical sciences ,Biotechnology ,Data aided ,030104 developmental biology ,Geography ,Multivariate statistical ,business ,Mozzarella cheese - Abstract
Geographical origin and authenticity are the two crucial factors that propel overall cheese perception in terms of quality and price; therefore, they are of great importance to consumers and commercial cheese producers. Herein, we demonstrate a rapid, accurate method for discrimination of domestic and import mozzarella cheeses in the Republic of Korea by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). The protein profiles’ data aided by multivariate statistical analysis successfully differentiated farmstead and import mozzarella cheeses according to their geographical location of origin. A similar investigation within domestic samples (farmsteads/companies) also showed clear discrimination regarding the producer. Using the biomarker discovery tool, we identified seven distinct proteins, of which two (m/z 7407.8 and 11,416.6) were specific in farmstead cheeses, acting as potential markers to ensure authentication and traceability. The outcome of this study can be a good resource in building a database for Korean domestic cheeses. This study also emphasizes the combined utility of MALDI-TOF MS and multivariate analysis in preventing fraudulent practices, thereby ensuring market protection for Korean farmstead cheeses.
- Published
- 2021
35. Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation
- Author
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Seohyeong Jeong, Nojun Kwak, Hyojin Park, Ganesh Venkatesh, and Jayeon Yoo
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FOS: Computer and information sciences ,Dynamic network analysis ,Similarity (geometry) ,Computer science ,business.industry ,Computer Vision and Pattern Recognition (cs.CV) ,Frame (networking) ,Computer Science - Computer Vision and Pattern Recognition ,Object (computer science) ,Feature (computer vision) ,Path (graph theory) ,Code (cryptography) ,Segmentation ,Computer vision ,Artificial intelligence ,business - Abstract
Current state-of-the-art approaches for Semi-supervised Video Object Segmentation (Semi-VOS) propagates information from previous frames to generate segmentation mask for the current frame. This results in high-quality segmentation across challenging scenarios such as changes in appearance and occlusion. But it also leads to unnecessary computations for stationary or slow-moving objects where the change across frames is minimal. In this work, we exploit this observation by using temporal information to quickly identify frames with minimal change and skip the heavyweight mask generation step. To realize this efficiency, we propose a novel dynamic network that estimates change across frames and decides which path -- computing a full network or reusing previous frame's feature -- to choose depending on the expected similarity. Experimental results show that our approach significantly improves inference speed without much accuracy degradation on challenging Semi-VOS datasets -- DAVIS 16, DAVIS 17, and YouTube-VOS. Furthermore, our approach can be applied to multiple Semi-VOS methods demonstrating its generality. The code is available in https://github.com/HYOJINPARK/Reuse_VOS., CVPR2021, code: https://github.com/HYOJINPARK/Reuse_VOS
- Published
- 2020
36. Effects of Gouda cheese and
- Author
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Yong-An, Kim, Sang-Soo, Lee, Jayeon, Yoo, Eun-Mi, Kim, Myoung Soo, Nam, and Kee K, Kim
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Allium hookeri ,cheese ,white adipose tissue ,brown adipose tissue ,gastrocnemius muscle ,thermogenesis ,Original Research - Abstract
Cheese contains various beneficial nutrients, including calcium and whey protein, as well as large amounts of saturated fatty acids. Thus, intake of cheese increases the production of low‐density lipoprotein‐cholesterol (LDL‐C), a well‐defined risk factor for cardiovascular disease. Therefore, identification of natural products that inhibit LDL‐C production following cheese intake and verification of the efficacy of such products in animal models are essential. Here, we evaluated the effects of Allium hookeri, a well‐known traditional herbal remedy, on metabolism and thermogenesis in mice consuming a cheese‐containing diet. Intake of A. hookeri extracts significantly blocked increases in body weight and fat mass caused by intake of Gouda cheese in mice. Additionally, increases in blood triglyceride levels following intake of Gouda cheese were alleviated by A. hookeri. Moreover, intake of Gouda cheese enhanced thermogenesis efficiency. Thus, A. hookeri may have applications as an important additive for reducing the risk of metabolic disease resulting from cheese consumption., Identification of natural products that inhibit LDL‐C production following cheese intake and verification of the efficacy of such products in animal models are essential. Intake of Allium hookeri extracts significantly blocked increases in body weight and fat mass caused by intake of Gouda cheese in mice. Moreover, intake of Gouda cheese enhanced thermogenesis efficiency. Thus, A. hookeri may have applications as an important additive for reducing the risk of metabolic disease resulting from cheese consumption.
- Published
- 2020
37. Quality Characteristics of Functional Fermented Sausages Added with Encapsulated Probiotic Bifidobacterium longum KACC 91563
- Author
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Jayeon Yoo, Jun-Sang Ham, Mi-Hwa Oh, Won-Seo Park, Sun-Moon Kang, Minyu Song, Han-Byul Kang, Bu-Min Kim, Hoa Van-Ba, and Jin Hyoung Kim
- Subjects
0301 basic medicine ,Bifidobacterium longum ,030106 microbiology ,fermented sausages ,Article ,law.invention ,03 medical and health sciences ,Probiotic ,Ingredient ,chemistry.chemical_compound ,0404 agricultural biotechnology ,Starter ,fluids and secretions ,Lipid oxidation ,biogenic amine ,law ,Glycerol ,Food science ,Unsaturated fatty acid ,biology ,food and beverages ,04 agricultural and veterinary sciences ,biology.organism_classification ,040401 food science ,chemistry ,probiotics ,Animal Science and Zoology ,Fermentation ,sensory quality ,Food Science - Abstract
The present study aimed at evaluating the utilization possibility of encapsulated probiotic Bifidobacterium longum for production of functional fermented sausages. The B. longum isolated from the feces samples of healthy Korean infants encapsulated with glycerol as a cryprotectant was used for fermented sausages production as a functional bacterial ingredient, and its effect was also compared with those inoculated with commercial starter culture (CSC). Results showed that most inoculated encapsulated B. longum (initial count, 5.88 Log CFU/g) could survive after 4 days fermentation (5.40 Log CFU/g), and approximately a half (2.83 Log CFU/g) of them survived in the products after 22 days of ripening. The products inoculated with encapsulated B. longum presented the lowest lipid oxidation level, while had higher total unsaturated fatty acid content and more desirable n-6/n-3 fatty acids than those inoculated with CSC or non-inoculated control. Moreover, the odor and taste scores in the samples made with B. longum were comparable to those in the treatment with CSC. The inoculation with the B. longum had no effects on the biogenic amine contents as well as did not cause defects in color or texture of the final products. Thus, the encapsulation could preserve the probiotic B. longum in the meat mixture, and the encapsulated B. longum could be used as a functional ingredient for production of healthier fermented meat products.
- Published
- 2018
38. Breastfeeding and Melatonin
- Author
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Jayeon Yoo, Jun-Sang Ham, Minyu Song, and Won Park
- Subjects
Melatonin ,business.industry ,Gut–brain axis ,Breastfeeding ,Medicine ,Physiology ,business ,medicine.drug - Published
- 2018
- Full Text
- View/download PDF
39. The Potential of Melatonin for the Application in Dairy Products
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Won Park, Jun-Sang Ham, Minyu Song, and Jayeon Yoo
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0301 basic medicine ,Melatonin ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,Chemistry ,Tryptophan ,medicine ,Food science ,030217 neurology & neurosurgery ,medicine.drug - Published
- 2018
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40. Application of Whey Protein-Based Edible Films and Coatings in Food Industries: An Updated Overview
- Author
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Han-Byul Kang, Hyoun-Wook Kim, Sujatha Kandasamy, Jun-Sang Ham, Jayeon Yoo, Kuk-Hwan Seol, and Jeonghee Yun
- Subjects
Whey protein ,Materials science ,packaging ,Whey protein isolate ,Materials Chemistry ,Food science ,Active ingredient ,chemistry.chemical_classification ,biology ,business.industry ,Sustainable packaging ,digestive, oral, and skin physiology ,food and beverages ,milk proteins ,Surfaces and Interfaces ,Polymer ,Biodegradation ,Engineering (General). Civil engineering (General) ,Food safety ,Surfaces, Coatings and Films ,Food packaging ,chemistry ,active ingredients ,biology.protein ,mechanical and barrier properties ,dairy waste ,TA1-2040 ,business - Abstract
The recent surge in environmental awareness and consumer demand for stable, healthy, and safe foods has led the packaging and food sectors to focus on developing edible packaging materials to reduce waste. Edible films and coatings as a modern sustainable packaging solution offer significant potential to serve as a functional barrier between the food and environment ensuring food safety and quality. Whey protein is one of the most promising edible biopolymers in the food packaging industry that has recently gained much attention for its abundant nature, safety, and biodegradability and as an ecofriendly alternative of synthetic polymers. Whey protein isolate and whey protein concentrate are the two major forms of whey protein involved in the formation of edible films and coatings. An edible whey film is a dry, highly interacting polymer network with a three-dimensional gel-type structure. Films/coatings made from whey proteins are colorless, odorless, flexible, and transparent with outstanding mechanical and barrier properties compared with polysaccharide and other-protein polymers. They have high water vapor permeability, low tensile strength, and excellent oxygen permeability compared with other protein films. Whey protein-based films/coatings have been successfully demonstrated in certain foods as vehicles of active ingredients (antimicrobials, antioxidants, probiotics, etc.), without considerably altering the desired properties of packaging films that adds value for subsequent industrial applications. This review provides an overview of the recent advances on the formation and processing technologies of whey protein-based edible films/coatings, the incorporation of additives/active ingredients for improvement, their technological properties, and potential applications in food packaging.
- Published
- 2021
- Full Text
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41. Characteristics of Kwark Cheese Supplemented with Bifidobacterium longum KACC 91563
- Author
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Mi-Hwa Oh, Bu-Min Kim, Pil-Nam Seong, Kyung-Woon Kim, Gi-Sung Han, Minyu Song, Won Park, Jun-Sang Ham, and Jayeon Yoo
- Subjects
0301 basic medicine ,Taste ,Bifidobacterium longum ,biology ,0402 animal and dairy science ,04 agricultural and veterinary sciences ,biology.organism_classification ,040201 dairy & animal science ,Article ,law.invention ,03 medical and health sciences ,Probiotic ,030104 developmental biology ,Starter ,law ,Probiotic bacteria ,Animal Science and Zoology ,sensory property ,Food science ,probiotic ,kwark cheese ,Food Science - Abstract
The effect of addition of the probiotic Bifidobacterium longum KACC 91563 on the chemical and sensory properties of Kwark cheese produced using CHN-11 as a cheese starter were investigated. The addition of B. longum KACC 91563 to Kwark cheese did not change the composition or pH value of the cheese, compared with control. B. longum KACC 91563 survived at a level of 7.58 Log CFU/g and did not have any negative effect on survival of the cheese starter. A sensory panel commented that the addition of B. longum KACC 91563 made Kwark cheese more desirable to consumers, and that the probiotic supplementation had no effect on perceived taste. Thus, B. longum KACC 91563 can be used for inclusion of probiotic bacteria in cheese.
- Published
- 2017
42. Microencapsulation Technology for Enhancement of Bifidobacterium spp. Viability: A Review
- Author
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Minyu Song, Jayeon Yoo, Jun-Sang Ham, and Won Park
- Subjects
biology ,Chemistry ,Food science ,biology.organism_classification ,Bifidobacterium - Published
- 2017
- Full Text
- View/download PDF
43. A Review on Bifidobacteria for Human Health
- Author
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Jun-Sang Ham, Jayeon Yoo, Minyu Song, and Won Park
- Subjects
Human health ,biology ,business.industry ,Immunology ,Medicine ,business ,biology.organism_classification ,Bifidobacterium - Published
- 2017
- Full Text
- View/download PDF
44. Quality Characteristics of Low-fat Mozzarella Cheese prepared at Different Cooking Temperatures
- Author
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Minyu Song, Gi-Seong Han, Seok-Geun Jeong, Won-Seo Park, Jayeon Yoo, and Jun-Sang Ham
- Subjects
010405 organic chemistry ,Chemistry ,010401 analytical chemistry ,Food science ,Quality characteristics ,01 natural sciences ,Texture (geology) ,Mozzarella cheese ,0104 chemical sciences - Published
- 2017
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- View/download PDF
45. Cheese Consumption:A Nationwide Survey of Korean Women aged 25 Years and Older
- Author
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Jayeon Yoo, Jun-Sang Ham, Dong-kyun Suh, Won Park, Jiyong Son, Minyu Song, and Dong-won Cheon
- Subjects
Consumption (economics) ,business.industry ,Environmental health ,Medicine ,Nationwide survey ,business - Published
- 2017
- Full Text
- View/download PDF
46. Characterisation of fungal contamination sources for use in quality management of cheese production farms in Korea
- Author
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Sujatha Kandasamy, Jun Sang Ham, Kuk-Hwan Seol, Mi-Hwa Oh, Jayeon Yoo, Won Park, Han-Byul Kang, and Jeonghee Yun
- Subjects
Veterinary medicine ,lcsh:Animal biochemistry ,Cheese ripening ,Petrifilm ,Article ,Fungal Diversity ,03 medical and health sciences ,Dairy Farms ,Animal Products ,Cheese Ripening Rooms ,lcsh:QP501-801 ,lcsh:SF1-1100 ,030304 developmental biology ,Penicillium commune ,0303 health sciences ,Aspergillus ,biology ,0402 animal and dairy science ,food and beverages ,04 agricultural and veterinary sciences ,Isolation (microbiology) ,biology.organism_classification ,040201 dairy & animal science ,Contaminant Sources ,Penicillium ,Aspergillus versicolor ,Animal Science and Zoology ,lcsh:Animal culture ,Food Science ,Cladosporium - Abstract
Objective: This study was conducted to determine the composition and diversity of the fungal flora at various control points in cheese ripening rooms of 10 dairy farms from six different provinces in the Republic of Korea.Methods: Floor, wall, cheese board, room air, cheese rind and core were sampled from cheese ripening rooms of ten different dairy farms. The molds were enumerated using YM petrifilm, while isolation was done on yeast extract glucose chloramphenicol agar plates. Morphologically distinct isolates were identified using sequencing of internal transcribed spacer region.Results: The fungal counts in 8 out of 10 dairy farms were out of acceptable range, as per hazard analysis critical control point regulation. A total of 986 fungal isolates identified and assigned to the phyla Ascomycota (14 genera) and Basidiomycota (3 genera). Of these Penicillium, Aspergillus, and Cladosporium were the most diverse and predominant. The cheese ripening rooms was overrepresented in 9 farms by Penicillium (76%), while Aspergillusin a single farm. Among 39 species, the prominent members were Penicillium commune, P. oxalicum, P. echinulatum, and Aspergillus versicolor. Most of the mold species detected on surfaces were the same found in the indoor air of cheese ripening rooms.Conclusion: The environment of cheese ripening rooms persuades a favourable niche for mold growth. The fungal diversity in the dairy farms were greatly influenced by several factors (exterior atmosphere, working personnel etc.,) and their proportion varied from one to another. Proper management of hygienic and production practices and air filtration system would be effective to eradicate contamination in cheese processing industries.
- Published
- 2019
47. Expression and Purification of Extracellular Solute-Binding Protein (ESBP) in
- Author
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Minyu, Song, Hyaekang, Kim, Woori, Kwak, Won Seo, Park, Jayeon, Yoo, Han Byul, Kang, Jin-Hyoung, Kim, Sun-Moon, Kang, Hoa Van, Ba, Bu-Min, Kim, Mi-Hwa, Oh, Heebal, Kim, and Ham, Jun-Sang
- Subjects
probiotics ,gene cloning ,extracellular vesicle ,extracellular solute-binding protein (ESBP) ,Bifidobacterium longum ,Article - Abstract
Bifidobacterium longum KACC 91563 secretes family 5 extracellular solute-binding protein via extracellular vesicle. In our previous work, it was demonstrated that the protein effectively alleviated food allergy symptoms via mast cell specific apoptosis, and it has revealed a therapeutic potential of this protein in allergy treatment. In the present study, we cloned the gene encoding extracellular solute-binding protein of the strain into the histidine-tagged pET-28a(+) vector and transformed the resulting plasmid into the Escherichia coli strain BL21 (DE3). The histidine-tagged extracellular solute-binding protein expressed in the transformed cells was purified using Ni-NTA affinity column. To enhance the efficiency of the protein purification, three parameters were optimized; the host bacterial strain, the culturing and induction temperature, and the purification protocol. After the process, two liters of transformed culture produced 7.15 mg of the recombinant proteins. This is the first study describing the production of extracellular solute-binding protein of probiotic bacteria. Establishment of large-scale production strategy for the protein will further contribute to the development of functional foods and potential alternative treatments for allergies.
- Published
- 2019
48. Characterisation of fungal contamination sources for use in quality management of cheese production farms in Korea.
- Author
-
Kandasamy, Sujatha, Won Seo Park, Jayeon Yoo, Jeonghee Yun, Han Byul Kang, Kuk-Hwan Seol, Mi-Hwa Oh, and Jun Sang Ham
- Subjects
AGRICULTURAL productivity ,MOLDS (Fungi) ,CHEESE ripening ,DAIRY farms ,PENICILLIUM ,CHEESE ,YEAST extract ,DRILL core analysis - Abstract
Objective: This study was conducted to determine the composition and diversity of the fungal flora at various control points in cheese ripening rooms of 10 dairy farms from six different provinces in the Republic of Korea. Methods: Floor, wall, cheese board, room air, cheese rind and core were sampled from cheese ripening rooms of ten different dairy farms. The molds were enumerated using YM petrifilm, while isolation was done on yeast extract glucose chloramphenicol agar plates. Morphologically distinct isolates were identified using sequencing of internal transcribed spacer region. Results: The fungal counts in 8 out of 10 dairy farms were out of acceptable range, as per hazard analysis critical control point regulation. A total of 986 fungal isolates identified and assigned to the phyla Ascomycota (14 genera) and Basidiomycota (3 genera). Of these Penicillium, Aspergillus, and Cladosporium were the most diverse and predominant. The cheese ripening rooms was overrepresented in 9 farms by Penicillium (76%), while Aspergillus in a single farm. Among 39 species, the prominent members were Penicillium commune, P. oxalicum, P. echinulatum, and Aspergillus versicolor. Most of the mold species detected on surfaces were the same found in the indoor air of cheese ripening rooms. Conclusion: The environment of cheese ripening rooms persuades a favourable niche for mold growth. The fungal diversity in the dairy farms were greatly influenced by several factors (exterior atmosphere, working personnel etc.,) and their proportion varied from one to another. Proper management of hygienic and production practices and air filtration system would be effective to eradicate contamination in cheese processing industries. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
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