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Direct Microbial Identification using An Automated Microbial Identification System to Facilitate the EUCAST RAST Method Without Mass Spectrometry
Published on: May 24, 2024
Rapid enumeration of low numbers of moulds in tea based drinks using an automated system
Kouichi Tanaka1, Nobuyasu Yamaguchi, Takashi Baba
1Safety Science Institute, Suntory Limited, 5-2-5 Yamazaki, Shimamoto-cho, Mishima-gun, Osaka 618-0001, Japan.
Abstract:
Aseptically prepared cold drinks based on tea have become popular worldwide. Contamination of these drinks with harmful microbes is a potential health problem because such drinks are kept free from preservatives to maximize aroma and flavour. Heat-tolerant conidia and ascospores of fungi can survive pasteurization, and need to be detected as quickly as possible. We were able to rapidly and accurately detect low numbers of conidia and ascospores in tea-based drinks using fluorescent staining followed by an automated counting system. Conidia or ascospores were inoculated into green tea and oolong tea, and samples were immediately filtered through nitrocellulose membranes (pore size: 0.8 μm) to concentrate fungal propagules. These were transferred onto potato dextrose agar and incubated for 23 h at 28 °C. Fungi germinating on the membranes were fluorescently stained for 30 min. The stained mycelia were counted selectively within 90s using an automated counting system (MGS-10LD; Chuo Electric Works, Osaka, Japan). Very low numbers (1 CFU/100ml) of conidia or ascospores could be rapidly counted, in contrast to traditional labour intensive techniques. All tested mould strains were detected within 24h while conventional plate counting required 72 h for colony enumeration. Counts of slow-growing fungi (Cladosporium cladosporioides) obtained by automated counting and by conventional plate counting were close (r(2) = 0.986). Our combination of methods enables counting of both fast- and slow-growing fungi, and should be useful for microbiological quality control of tea-based and also other drinks.
Insights
A new method rapidly detects low levels of fungal contamination in preservative-free cold tea drinks. This fluorescent staining and automated counting system ensures quicker and more accurate microbiological quality control.
Area of Science:
- Food Science
- Microbiology
- Analytical Chemistry
Background:
- Aseptically prepared cold tea drinks lack preservatives, increasing the risk of microbial contamination.
- Heat-tolerant fungal spores (conidia and ascospores) can survive pasteurization, posing a health concern.
- Rapid detection of fungal contamination is crucial for ensuring the safety of these popular beverages.
Purpose of the Study:
- To develop a rapid and accurate method for detecting low numbers of fungal conidia and ascospores in tea-based drinks.
- To assess the efficiency of fluorescent staining combined with an automated counting system for fungal enumeration.
Main Methods:
- Fungal conidia and ascospores were inoculated into green and oolong tea samples.
- Samples were filtered through 0.8 μm nitrocellulose membranes to concentrate fungal propagules.
- Germinating fungi on membranes were fluorescently stained and counted within 90 seconds using an automated system (MGS-10LD).
Main Results:
- The method successfully detected very low fungal concentrations (as low as 1 CFU/100ml).
- Detection of all tested mould strains was achieved within 24 hours, significantly faster than conventional 72-hour plate counts.
- Automated counts showed high correlation (r² = 0.986) with conventional methods for slow-growing fungi.
Conclusions:
- The combined fluorescent staining and automated counting method provides rapid and accurate detection of fungal contamination in tea drinks.
- This technique is effective for both fast- and slow-growing fungi, offering a valuable tool for microbiological quality control.
- The method is applicable to tea-based and potentially other types of beverages.
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