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Son, Manki,Park, Tai Hyun Elsevier 2018 Biotechnology advances Vol.36 No.2
<P><B>Abstract</B></P> <P>Food intake is the primary method for obtaining energy and component materials in the human being. Humans evaluate the quality of food by combining various facets of information, such as an item of food's appearance, smell, taste, and texture in the mouth. Recently, bioelectronic noses and tongues have been reported that use human olfactory and taste receptors as primary recognition elements, and nanoelectronics as secondary signal transducers. Bioelectronic sensors that mimic human olfaction and gustation have sensitively and selectively detected odor and taste molecules from various food samples, and have been applied to food quality assessment. The portable and multiplexed bioelectronic nose and tongue are expected to be used as next-generation analytical tools for rapid on-site monitoring of food quality. In this review, we summarize recent progress in the bioelectronic nose and tongue using olfactory and taste receptors, and discuss the potential applications and future perspectives in the food industry.</P>
Bioelectronic Nose: An Emerging Tool for Odor Standardization
Son, Manki,Lee, Ji Youn,Ko, Hwi Jin,Park, Tai Hyun Elsevier 2017 Trends in biotechnology Vol.35 No.4
<P>Odors are perceived differently as a function of individual human experience, and communicating about odors between individuals is therefore very difficult. There is a need to classify and standardize odors, but appropriate tools have not yet been developed. A bioelectronic nose mimics human olfaction and detects target molecules with high sensitivity and selectivity. This new tool has great potential in many applications and is expected to accelerate odor classification and standardization. In particular, a multiplexed bioelectronic nose can provide complex odor information using pattern recognition techniques, and could even reproduce odors via an integrated olfactory display system. We expect that a bioelectronic nose will be a useful tool for odor standardization by providing codes for odors that enable us to communicate odor information.</P> <P><B>Trends</B></P> <P>Bioelectronic sensors, which integrate biomolecules and nanomaterials, enable rapid, selective, and sensitive detection of target molecules.</P> <P>A bioelectronic nose that mimics human olfaction could be applied to disease diagnosis, environmental monitoring, and food quality assessment.</P> <P>A multiplexed bioelectronic nose can mimic the human nose and perform complex pattern recognition similarly to the human olfactory system.</P> <P>A bioelectronic nose can be used not only to study the human olfactory system but also for odor standardization.</P>
Son, Manki,Kim, Daesan,Kang, Jinkyung,Lim, Jong Hyun,Lee, Seung Hwan,Ko, Hwi Jin,Hong, Seunghun,Park, Tai Hyun American Chemical Society 2016 ANALYTICAL CHEMISTRY - Vol.88 No.23
<P>Salmonella infection is the one of the major causes of food borne illnesses including fever, abdominal pain, diarrhea, and nausea. Thus, early detection of Salmonella contamination is important for our healthy life. Conventional detection methods for the food contamination have limitations in sensitivity and rapidity; thus, the early detection has been difficult. Herein, we developed a bioelectronic nose using a carbon nanotube (CNT) field-effect transistor (FET) functionalized with Drosophila odorant binding protein (OBP)-derived peptide for easy and rapid detection of Salmonella contamination in ham. 3-Methyl-1-butanol is known as a specific volatile organic compound, generated from the ham contaminated with Salmonella. We designed and synthesized the peptide based on the sequence of the Drosophila OBP, LUSH, which specifically binds to alcohols. The C-terminus of the synthetic peptide was modified with three phenylalanine residues and directly immobilized onto CNT channels using the pi-pi interaction. The p-type properties of FET were clearly maintained after the functionalization using the peptide. The biosensor detected 1 fM of 3-methyl-1-butanol with high selectivity and successfully assessed Salmonella contamination in ham. These results indicate that the bioelectronic nose can be used for the rapid detection of Salmonella contamination in food.</P>
Son, Manki,Kim, Daesan,Park, Kyung Seok,Hong, Seunghun,Park, Tai Hyun Elsevier Applied Science 2016 Biosensors & bioelectronics Vol. No.
<P><B>Abstract</B></P> <P>Here we propose a carbon nanotube (CNT) field-effect transistor (FET) functionalized with aquaporin-4 (AQP4) extracellular loop peptides for the rapid detection of AQP4 antibody without pretreatment. Neuromyelitis optica (NMO) is a rare disease of the central nerve system that affects the optic nerves and the spinal cord. NMO-IgG, a serum antibody in patients, is highly specific for NMO and targets AQP4. We synthesized AQP4 extracellular loop peptides, known as primary autoimmune target in NMO, and immobilized them onto CNT-FET. The sensor showed p-type FET characteristics after the functionalization of peptides. The sensor was able to detect antibody with a detection limit of 1ngl<SUP>−1</SUP>. Moreover, AQP4 antibody in human serum was detected without any pretreatment. These results indicate that the biosensor can be used for rapid and simple detection of NMO antibody.</P> <P><B>Highlights</B></P> <P> <UL> <LI> We developed peptide-based CNT biosensor for the detection of AQP4 antibody. </LI> <LI> AQP4 loop peptides were synthesized for the selective detection of antibody. </LI> <LI> AQP4 loop peptides were functionalized with carbon nanotube field-effect transistor. </LI> <LI> The biosensor was able to detect AQP4 antibody at a concentration as low as 1ngl<SUP>−1</SUP>. </LI> <LI> The biosensor can detect AQP4 antibody in human serum without pretreatment. </LI> </UL> </P>
Association between shift work and obesity according to body fat percentage in Korean wage workers
ManKi Son,Byeong Jin Ye,Jung-Il Kim,ShinUk Kang,Kap-Yeol Jung 대한직업환경의학회 2015 대한직업환경의학회지 Vol.27 No.-
Background: Health problems in shift workers vary including obesity acting as a risk factor in cerebrovascular diseases. Recent studies have commonly determined the prevalence of obesity in shift workers on the basis of body mass index. The accuracy of BMI for diagnosing obesity are still limited apparently. Consequently, this study aimed to determine the relationship between shift work and obesity according to the total body fat percentage in Korean wage workers. Methods: From the Fourth and the Fifth Korea National Health and Nutrition Examination Survey (2008–2011), after military personnel were excluded, a total of 2952 wage workers (20 ≤ age ≤ 65) whose current jobs were their longest jobs were selected as subjects of the study. The total body fat percentage was used to determine the obesity standards (≥25.7 % in males and ≥36.0 % in females). The subjects were divided into groups by gender and work type (manual vs non-manual), and chi-squared test was used to evaluate the relationship between socio-economic, health behavior, and work-related factors, on the one hand, and obesity, on the other. In addition, multivariate logistic regression analysis was performed to examine the effects of shift work on obesity. Results: When other factors were controlled for, the risk of obesity in shift work showed a statistically significant increase (odds ratio = 1.779, 95 % confidence interval = 1.050-3.015) in the male manual worker group. However, there were no significant results in the male non-manual and female worker groups. Conclusion: Shift work was related to a higher risk of obesity in the Korean male manual worker group.