Evidence map›Paper›PMID 41139370›Full record

ArticleBiodegradation2025

Simplified enzyme activity-based screening of microorganisms from Korean fermented foods for food-waste decomposition.

Yu-Jin Im, Jae-Wan Ryu, Jong Ho Lee, Sunna Jyung, Min Je Cho, Sulhee Park, Dong-Hyun Kang

Abstract read
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In one paragraph

Article in Biodegradation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yu-Jin Im *Department of Agricultural Biotechnology, Center for Food and Bioconvergence, Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Republic of Korea.
Jae-Wan Ryu *Department of Agricultural Biotechnology, Center for Food and Bioconvergence, Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Republic of Korea.
Jong Ho LeeMeat Science and Muscle Biology Lab, Department of Animal Sciences, Purdue University, IN, West Lafayette, USA.
Sunna JyungDepartment of Agricultural Biotechnology, Center for Food and Bioconvergence, Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Republic of Korea.
Min Je ChoThe Environment Technology Institute, Coway R&D Center, Seoul National University, Research Park 1, Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea.
Sulhee ParkThe Environment Technology Institute, Coway R&D Center, Seoul National University, Research Park 1, Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea.
Dong-Hyun KangDepartment of Agricultural Biotechnology, Center for Food and Bioconvergence, Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Republic of Korea. kang7820@snu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several options are available to encourage the degradation of food waste, but microbial approaches have attracted attention due to their efficiency and sustainability. Among various microorganisms, Bacillus species are notable for their ability to degrade starch, protein, and cellulose, making them ideal candidates for food-waste management. While methods of isolating and measuring the activity of individual Bacillus enzymes are well established, few attempts have been made to evaluate enzyme activity directly in Bacillus cultures without purification. In this study, we screened various methods of measuring enzyme activity and developed a simplified approach using agar plate assays and direct measurement of reaction products in liquid cultures without purification. Bacillus strains were isolated from traditional Korean fermented foods and their ability to degrade food waste was evaluated. Among 56 isolates, six superior strains were identified and combined to form a composite culture. This composite exhibited significantly higher enzymatic activity and food-waste degradation efficiency compared with commercial microbial preparations, achieving superior volume-reduction rates under industrial conditions. This study highlights the feasibility of measuring enzymatic activity directly in microbial cultures and identifies a promising composite culture for sustainable food-waste management. Our findings demonstrate the feasibility of using simplified enzyme assays for microbial screening and food-waste degradation applications.

Indexed as

BacillusFermented FoodsBiodegradation, EnvironmentalRepublic of KoreaComposite culturesDegradationEnzyme activity assayFood waste

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.