Rapid Enumeration of Microbial Cells in Solubilized Soymilk Using an Automatic Cell Counting System with LED Illumination

Tsumura, Kyosuke; Tsuboi, Shigeo

doi:10.3136/fstr.18.183

Cited by 7 publications

(3 citation statements)

References 20 publications

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“…Figure 1. Schematic of the LED-illuminated detection apparatus Tsumura and Tsuboi (2012) demonstrated that the total bacterial cells in solubilized soymilk could be enumerated using the automated cell counting system. However, for accurate viable cell count, the separation of microorganisms from the complex food matrix is essential (Araki et al, 2010;Benoit & Donahue, 2003;Fukushima et al, 2007;Stevens & Jaykus, 2004).…”

Section: Automated Microbial Cell Counting System With Fluorescent Staining In Processed Soy Foodsmentioning

confidence: 99%

Rapid Detection and Identification Systems for the Microbiological Assessment of Processed Soy Foods: A Review

Katase¹,

Tsumura²

2020

JFR

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Plant-based diets are gaining interest in promoting physical and environmental health worldwide. The widely growing consumption of processed soy foods results in an increased demand for safe and high quality soy foods. Many of the rapid bacterial detection methods currently available are inhibited by components in the food matrixes. In recent years, high-throughput devices have been developed, which aid in the enumeration and evaluation of microorganisms in processed soy foods (automated fluorescent filter method, high-throughput identification using matrix-assisted laser desorption ionization time-of-flight mass spectrometry, and automated most probable number method). These methods are more rapid and convenient compared to the conventional culture method. This review discusses alternate reliable methods for the microbiological assessment of processed soy foods, which guarantees the safety of the food delivered for consumption.

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Section: Automated Microbial Cell Counting System With Fluorescent Staining In Processed Soy Foodsmentioning

confidence: 99%

Rapid Detection and Identification Systems for the Microbiological Assessment of Processed Soy Foods: A Review

Katase¹,

Tsumura²

2020

JFR

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“…Thus, rapid identification of bacteria is as important as enumeration of bacteria (Katase and Tsumura, 2011;Tsumura and Tsuboi, 2012;Katase et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

High-Throughput Identification of Coliforms in Processed Soybean Products Using Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry

Katase

Tsumura

2014

FSTR

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“…It should be noted that the bacterial species also play an important role in soybean food-borne illness and spoilage. Thus, quality and safety of processed soybean products is important (Katase & Tsumura, 2011;Tsumura & Tsuboi, 2012). Based on the ribosomal proteins profiles of different bacteria, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been demonstrated as a rapid and reliable method for bacterial identification (Lay, 2001;Mazzeo et al, 2006).…”

Section: Evaluation Of Matrix-assisted Laser Desorption/ionization Timentioning

confidence: 99%

Evaluation of Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry for Rapid Identification of Bacteria in Processed Soybean Products

Furukawa¹,

Katase²,

Tsumura³

2013

JFR

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Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has recently been demonstrated as a rapid and reliable method for identifying bacteria in colonies grown on culture plates. Rapid identification of food spoilage bacteria is important for ensuring the quality and safety of food. To shorten the time of analysis, several researchers have proposed the direct MALDI-TOF MS technique for identification of bacteria in clinical samples such as urine and positive blood cultures. In this study, processed soybean products (total 26 test samples) were initially conducted a culture enrichment step and bacterial cells were separated from interfering components. Harvested bacterial cells were determined by MALDI-TOF MS and 16S rRNA gene sequencing method. Six processed soybean products (23%) were increased bacterial cells after culture enrichment step and they were successfully obtained the accurate identification results by MALDI-TOF MS-based method without colony formation.

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Rapid Enumeration of Microbial Cells in Solubilized Soymilk Using an Automatic Cell Counting System with LED Illumination

Cited by 7 publications

References 20 publications

Rapid Detection and Identification Systems for the Microbiological Assessment of Processed Soy Foods: A Review

Rapid Detection and Identification Systems for the Microbiological Assessment of Processed Soy Foods: A Review

High-Throughput Identification of Coliforms in Processed Soybean Products Using Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry

Evaluation of Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry for Rapid Identification of Bacteria in Processed Soybean Products

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