Publications by authors named "Hee-Sung Moon"

Article Synopsis
  • - The study analyzed the profiles of non-volatile compounds like caffeine and chlorogenic acid in coffee extracts, using an electronic tongue (E-tongue) to assess taste attributes such as sourness, bitterness, and saltiness.
  • - Volatile compounds responsible for coffee's aroma were identified, with 2-Furanmethanol, benzene ethanol, nonanal, and pyridine detected through an electronic nose (E-nose) and GC-MS-O techniques.
  • - Neurophysiological effects showed that inhaling coffee volatiles led to different brain wave activations in men and women, while drinking coffee produced similar effects by activating mid-beta waves in both sexes.
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Article Synopsis
  • The study examined the metabolite profiles and antioxidant capacities of newly bred waxy and non-waxy Korean red rice varieties, identifying 15 phenolic compounds across the samples.
  • Accession1 was noted for its high fatty acids, phytosterols, and vitamin E, while accession4 had the highest total flavonoids.
  • Correlation analysis indicated a strong link between these metabolites and antioxidant activity, with in silico results showing promising molecular interactions for various phytochemicals, suggesting paths for enhancing the functional qualities of other rice types.
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The complete medium used for mushroom cultivation is important for reliable crop production. We aimed to identify how the origin of Agaricus bisporus grown in Korea was affected by complete media produced in different geographical regions using stable isotope ratios (SIRs). We found that the SIR features of A.

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In countries like South Korea and the USA, origin labeling of shiitake grown using imported Chinese-inoculated medium is an issue. Therefore, we evaluated the use of compound-specific isotope analysis (CSIA) for the accurate identification of the geographical origin of shiitake (Korean, Chinese-inoculated medium, and Chinese); Chinese-inoculated medium shiitake were cultivated in Korea using inoculated sawdust medium from China. The CSIA-discriminant model showed an overall accuracy of 100% in the geographical classification of the original set and 96.

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To overcome the lack of consumer trust in ecofriendly products due to low reliability of ecofriendly certification and decreasing areas certified for growing ecofriendly agricultural products, alternative approaches for reliable certification are required. Isotopic-chemometric analysis has potential for determining organic authenticity, but previous studies have struggled to differentiate the authenticities of different rice types. The present study examined 5-year variations in δC and δN in ecofriendly and conventional rice sold at retail markets in South Korea, while assessing the feasibility of discriminant models for authentication of organic rice.

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With the increasing globalization of the food trade across countries and continents, reliable identification of the geographical origin of products is critical. In this study, we describe the limitations of the current origin labeling system for non-soil-based agricultural products and suggest alternative strategies for the identification of the geographical origin of such products. An origin identification model based on stable isotope ratio analysis combined with discriminant analysis is used to evaluate the similarities and dissimilarities between domestic and foreign shiitake mushrooms, including Chinese inoculated sawdust blocks and Chinese origin.

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Reliable geographical identification can protect producers of excellent agroproducts, and also provide reliable purchasing information to satisfy consumers. Therefore, this study aimed to evaluate the regional and monthly variation in fatty acid (FA) and tocopherol (TOC) in organic milk (OM) and develop a geographical discriminant model of OM in Korea. In this study, OM had α-TOC and showed a regional or monthly difference of 3-5%.

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There are about ninety full-scale anaerobic digestion (AD) plants in South Korea that treat food waste (FW); however, the key diff ;erences in the microbial communities in different seasons and the effects of ammonia in AD remain poorly understood. In this study, the seasonal changes in microbial communities associated with operational parameters of two full-scale ADs (C and W plants) treating FW were analyzed. The organic loading rate (OLR) variability had an influence on the seasonal CH yield; the W plant had a lower CH yield with an unstable AD performance while the C plant had a higher CH yield with a stable AD performance.

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