Assessment of Bacterial Accumulation and Environmental Factors in Sentinel Oysters and Estuarine Water Quality from the Phang Nga Estuary Area in Thailand

Jeamsripong, Saharuetai; Chuanchuen, Rungtip; Atwill, Edward R.

doi:10.3390/ijerph15091970

Cited by 27 publications

(18 citation statements)

References 38 publications

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“…In this study, the data collection was conducted in aggregation with another experiment connected to a previous study [18]. Wild-caught natural oyster larvae, or spats, have been mainly used for oyster aquaculture in southern Thailand.…”

Section: Methodsmentioning

confidence: 99%

Modelling of Indicator Escherichia coli Contamination in Sentinel Oysters and Estuarine Water

Jeamsripong

Atwill

2019

IJERPH

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This study was performed to improve the ability to predict the concentrations of Escherichia coli in oyster meat and estuarine waters by using environmental parameters, and microbiological and heavy metal contamination from shellfish growing area in southern Thailand. Oyster meat (n = 144) and estuarine waters (n = 96) were tested for microbiological and heavy metal contamination from March 2016 to February 2017. Prevalence and mean concentrations of E. coli were 93.1% and 4.6 × 103 most probable number (MPN)/g in oyster meat, and 78.1% and 2.2 × 102 MPN/100 mL in estuarine water. Average 7-day precipitation, ambient air temperature, and the presence of Salmonella were associated with the concentrations of E. coli in oyster meat (p < 0.05). Raw data (MPN/g of oyster meat and MPN/100 mL of estuarine water) and log-transformed data (logMPN/g of oyster meat and logMPN/100 mL of estuarine water) of E. coli concentrations were examined within two contrasting regression models. However, the more valid predictions were conducted using non-log transformed values. These findings indicate that non-log transformed data can be used for building more accurate statistical models in microbiological food safety, and that significant environmental parameters can be used as a part of a rapid warning system to predict levels of E. coli before harvesting oysters.

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Section: Methodsmentioning

confidence: 99%

Modelling of Indicator Escherichia coli Contamination in Sentinel Oysters and Estuarine Water

Jeamsripong

Atwill

2019

IJERPH

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“…Lebih lanjut juga dijelaskan bahwa prevalensi patogen pada hasil perikanan diantaranya dipengaruhi oleh kontaminasi pada perairan. Kejadian ini dibuktikan oleh penelitian Jeamsripong et al (2018) yaitu ditemukannya Salmonella dan Escherichia coli pada tiram. Kontaminasi laut oleh patogen terjadi diantaranya melalui aktivitas di darat dan aktivitas di pantai itu sendiri.…”

Section: Pendahuluanunclassified

Jumlah Total Bakteri dan Bakteri Coliform Pada Air Laut dan Sedimen Perairan Laut Kecamatan Kendal

2020

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ABSTRAK: Perairan Laut Kendal terhubung dengan Sungai Buntu, Sungai Kendal, dan Sungai Blorong yang membawa limbah dari kegiatan di darat seperti Mandi Cuci Kakus (MCK), peternakan, tambak, pertanian, dan kegiatan kapal dan Tempat Pelelangan Ikan (TPI). Hal ini akan mempengaruhi kualitas bakteriologis perairan laut Kecamatan Kendal. Penelitian ini dilakukan untuk menganalisa kualitas bakteriologis air dan sedimen perairan laut Kecamatan Kendal berbasis jumlah total bakteri dan Coliform. Sampel air laut dan sedimen diambil pada bulan Oktober Tahun 2019. Analisa bakteriologis dilakukan di Laboratorium Balai Pengujian Mutu Hasil Perikanan Semarang menggunakan metode berdasarkan ISO 6222: 1999 dan SNI 01-2332.3 – 2015, SNI ISO 9308 –1: 2010 dan SNI 01-2332.1 – 2006. Hasil penelitian menunjukkan jumlah total bakteri pada sampel air laut di stasiun 1 berkisar antara 190 Cfu - 240 Cfu, di stasiun 2 antara 340 Cfu - 380 Cfu. Jumlah total Coliform pada sampel air laut di stasiun 1 dan 2 adalah 1 Cfu/ 100 ml. Jumlah total bakteri pada sampel sedimen di stasiun 1 dan 2 yaitu antara 19.000 Cfu - 90.000 Cfu dan jumlah total coliform di kedua stasiun tersebut sebesar 3,6 MPN/g Coliform. Nilai total Coliform ini berada dibawah baku mutu air laut untuk biota laut, yang maksimum adalah 1.000 dengan toleransi <10%. Sedangkan untuk jumlah total bakteri tidak diatur dalam baku mutu air laut. Tetapi secara umum jumlah total bakteri di air laut terdapat 106 sel/ ml. Sehingga nilai hasil analisis total bakteri menunjukkan kualitas air laut yang masih baik. ABSTRACT: Kendal sea waters are connected to the Buntu River, Kendal River, and the Blorong River which carry waste from human activities such as domestic waste, fishery, agriculture, ship activities, and fish auction activities. These activities can influence the bacteriological quality of the waters of Kendal District. This research was conducted to analyze the bacteriological quality of seawater and sediments from Kendal Seawaters based on the total number of bacteria and Coliform. Seawater and sediment samples were taken on October 2019. Bacteriological analysis was conducted at the Semarang Fisheries Product Quality Testing Laboratory (BPMHP) using methods based on ISO 6222: 1999 and SNI 01-2332.3 - 2015, SNI ISO 9308-1: 2010 and SNI 01-2332.1 - 2006. The results showed the total number of bacteria in sea water samples at station 1 ranged from 190 Cfu - 240 Cfu, at station 2 between 340 Cfu-380 Cfu. The total amount of Coliform in seawater samples at station 1 and 2 are 1 Cfu / 100 ml. The total number of bacteria in sediment samples at station 1 and 2 are between 19,000 Cfu - 90,000 Cfu and the total number of coliforms at both stations are 3.6 MPN / g Coliform. The total value of this coliform is below the sea water quality standard for marine life, the maximum is 1,000 with a tolerance of <10%. Where as the total number of bacteria is not regulated in the seawater quality standard. But in general the total number of bacteria in seawater is 106 cells / ml. So the value of the total bacterial analysis shows that the quality of sea water is still good.

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“…More specifically, a two-day intense storm (45mm/day) led to higher E. coli loads than a light rainfall (0-10mm/day) that lasted over a week in upper Blackstone River [59]. Additionally, after a major flooding event in Thailand, increases in Sulfuricurvum, Thiovirga, and Hydrogenophaga bacterial loads were recorded [28].…”

Section: Introductionmentioning

confidence: 99%

Characterization of Bacterial Populations in Urban and Rural Houston Watershed Soil Samples Following a Flooding Event

Adedoyin¹,

Bhaskar²,

Rosenzweig³

2021

FEM

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Since Houston is prone to flooding events, bacterial population dynamics in Houston watershed soils pre-and post-Hurricane Harvey were evaluated. Unexpectedly, bayous closer to Houston's urban core, including Buffalo, Halls, Mustang, and Horsepen Bayous, had significantly higher enteric bacterial loads during the winter than the summer, likely due to water flow rate changes or proximity to wastewater outflow. Following bacterial load determination, isolated colonies were identified using biochemical tests. Additionally, metagenomic sequencing of 16S rDNA allowed for identification of both culturable and unculturable organisms. The phyla Proteobacteria, Actinobacteria, Bacteriodetes and Firmicutes were found to be dominant in our metagenomic analysis and are human gut bacteria. Some opportunistic bacterial Proteobacteria pathogens identified in our metabolomic analysis were Serratia marcenscens, Pseudomonas mendocina, Pseudomonas fulva, and Pseudomonas putida. To our knowledge, this is the first study that compares Houston-area bacterial populations before and after a major flooding event. Taken together, Hurricane Harvey likely contributed to a redistribution of enteric bacteria, as there was a significant increase in the enteric population of Buffalo and Halls Bayous. Similarly, our 2018 winter data set followed the same trend, as significant increases were seen in the enteric populations of Horsepen, Mustang, and Cypress Creek watershed soils.

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Assessment of Bacterial Accumulation and Environmental Factors in Sentinel Oysters and Estuarine Water Quality from the Phang Nga Estuary Area in Thailand

Cited by 27 publications

References 38 publications

Modelling of Indicator Escherichia coli Contamination in Sentinel Oysters and Estuarine Water

Modelling of Indicator Escherichia coli Contamination in Sentinel Oysters and Estuarine Water

Jumlah Total Bakteri dan Bakteri Coliform Pada Air Laut dan Sedimen Perairan Laut Kecamatan Kendal

Characterization of Bacterial Populations in Urban and Rural Houston Watershed Soil Samples Following a Flooding Event

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