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Item type:Publication, Enhancement of Bacterial Anti−Adhesion Properties on Robust PDMS Micro−Structure Using a Simple Flame Treatment Method(2022-02-01) ;Houngkamhang, Nongluck ;Chaisawat, Ploymanee ;Joksathit, Waisaree ;Samart, SutichaiChutipaijit, SuteeBiofilm−associated infections caused by an accumulation of micro−organisms and pathogens significantly impact the environment, health risks, and the global economy. Currently, a non−biocide−releasing superhydrophobic surface is a potential solution for antibacterial purposes. This research demonstrated a well−designed robust polydimethylsiloxane (PDMS) micro−structure and a flame treatment process with improved hydrophobicity and bacterial anti−adhesion proper-ties. After the flame treatment at 700 ± 20 °C for 15 s, unique flower−petal re−entrant nano−structures were formed on pillars (PIL−F, width: 1.87 ± 0.30 μm, height: 7.76 ± 0.13 μm, aspect ratio (A.R.): 4.14) and circular rings with eight stripe supporters (C−RESS−F, width: 0.50 ± 0.04 μm, height: 3.55 ± 0.11 μm, A.R.: 7.10) PDMS micro−patterns. The water contact angle (WCA) and ethylene glycol contact angle (EGCA) of flame−treated flat−PDMS (FLT−F), PIL–F, and C–RESS−F patterns were (133.9 ± 3.8°, 128.6 ± 5.3°), (156.1 ± 1.5°, 151.5 ± 2.1°), and (146.3 ± 3.5°, 150.7 ± 1.8°), respectively. The Escherichia coli adhesion on the C−RESS−F micro−pattern with hydrophobicity and superoleophobicity was 42.6%, 31.8%, and 2.9% less than FLT−F, PIL−F, and Teflon surfaces. Therefore, the flame−treated C−RESS−F pattern is one of the promising bacterial anti−adhesion micro−structures in practical utilization for various applications. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Antimicrobial resistance in fecal Escherichia coli from different pig production systems(2022-01-01) ;Mitchaothai, JamlongSrikijkasemwat, KanokratObjective: The objective of the current study was to investigate the influences of conventional (CO) and deep litter (DE) systems on antimicrobial resistance in fecal Escherichia coli (E. coli). Methods: A crosssectional study was carried out to detect antimicrobial resistance to E. coli in swine fecal samples in CO and DE systems located in western and northeastern Thailand. Individual rectal swab samples were taken only from healthy pigs. A total of 215 individual and healthy pigs were randomly selected for isolation and antimicrobial susceptibility test of E. coli by the disc diffusion method. The test panel included amoxicillin (AMX), colistin, doxycycline (DOX), enrofloxacin, gentamicin (GEN), kanamycin, neomycin (NEO), and trimethoprimsulfamethoxazole (SXT). Results: There were significant (p<0.05) lower resistance levels for GEN, NEO, and SXT in the DE farms compared to those in the CO farms. There was a lower number of antimicrobial resistance agents (p<0.001) in the DE farms compared to those in the CO farms. This result was consistent with those in western (p<0.01) and northeastern (p<0.01) Thailand. Overall, antibiograms of AMXSXT and AMXDOXSXT were found in the CO (19.09% and 20.91%, respectively) and the DE (16.19% and 24.76%, respectively) farms. No antimicrobial resistance (5.71%) was found and AMX (13.33%) resistant pigs in the DE farms, whereas the pattern of AMXGENSXT (6.36%) and AMXDOXGENSXT (11.82%) resistant pigs was found in the CO farms. Conclusion: The DE system for pig farming was superior to conventional pig farming by lowering the resistance level of fecal E. coli to GEN, NEO, and SXT, with decreasing the number of antimicrobial resistance agents and inducing a small proportion of pigs to be free from antimicrobial resistance. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Fluorescence based rapid E. coli Detector(2021-01-01) ;Chantharasuriyasakun, Thitiyo ;Sungwol, SiriyakornPiyawattanametha, WiboolWe have developed a fluorescence based rapid detection for E. coli which is an indicator for water quality identification. This portable detector will trim down the time taken to detect E. coli in the water from a few days to just a couple of minutes. Moreover, with the use of enzyme-substrate reaction between the enzyme β-D glucuronidase (GUD) in the E. coli and the substrate 4-methylumblliferyl-β-D glucuronide (MUG) resulting in a byproduct of 4-methylumbellliferone (4MU), the fluorescence emitting from this byproduct is then detected by our system and be enumerated for the number of E. coli. Hence, we have tested our system with two different pH solution, distilled water and tap water with pH values at 6.68 and 7.81 consecutively. Our developed system can detect the byproduct of 4MU in the concentration range of 0.001 μ M to 2 μM for the distilled water and 0.001 μM to 0.1 μM for the tap water, which can then be used for the enumeration of E. coli. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, An E. coli screening machine in water via fluorescence detection(2019-01-10) ;Juhong, AniwatPiyawattanametha, WiboolWe have developed a fluorescence based detection for rapid E. coli which is an indicator for fecal contamination for water quality. This technology has cut down the time taken to detect E. coli from a few days to just a couple of hours. The system relies on the enzyme β-D glucuronidase (GUD) reacts with 4-methylumblliferyl-β-D glucuronide (MUG) resulting in a byproduct named 4-methylumbellliferone (4MU). Our system can detect this byproduct in the concentration range from 0.01 to 80 μM which can then be enumerated to be the number of E. coli. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Evaluation of rapid detection system for Escherichia coli in water samples(2017-02-21) ;Pipitsombat, Chanikarn ;Phasuk, Kanchana ;Suwan, SupakornPiyawattanametha, WiboolWe demonstrated a fast detection platform for Escherichia coli (E. coli) in water. The system is based on a fluorescence detection technique by determining enzyme β-D-glucuronidase (GUD) activity and relating that activity to E. coli concentration. We found the portable E. coli detection platform is able to detect both the fluorescence 4-MU signal from the reaction of GUD assay from 0.01-1 μg/ml and to enumerate the number of E. coli in the range of 10<sup>5</sup>-10<sup>7</sup> CFU/ml. The required incubation time is in between 20-240 min. In addition, we can estimate the maximum of incubation time for detecting minimum of E. coli 1 CFU/ml from the equation to be 576 mins. Our preliminary study demonstrates that the system can be used to enumerate the number of E. coli in water on-site and requires less detection time than traditional E. coli methods. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A portable escherichia colil detection platform for water inspection(2016-02-04) ;Pipitsombat, ChanikarnPiyawattanametha, WiboolA large proportion of the population of Thailand relies on stored rainwater or coin water dispensers show in figure 1 as their main sources of drinking and household use water. There are over 60,000 coin water dispensers as shown in figure 1 (>50,000 in Bangkok and >10,000 in other provinces) alone. Substandard in drinking water quality has long been a major issue due to no regular water testing even with regulatory mandates. Little data are available on the microbial quality of these water sources. This data gap is partly due to the high cost and technical difficulty of current water quality testing methods. There are more than 20 methods to measure and E. coli in water. The major issues with these methods are they are time consuming, labour intensive, and give retrospective information, often when it is too late to take corrective action. Most of these methods are lab-based and take at least 24 hrs to produce a result after the sample reaches the laboratory. There is an urgent need at many levels in the water supply chain to minimize contaminating E. coli. Monitoring for E. coli itself is routinely done in assessing water quality as they are a good indication on the presence of pathogens, and microbiology of, a given supply, and thus, in themselves, they are a good measure of overall water quality. In this work, our team will introduce recent developments of E. coli detection with portable systems and show our preliminary approach to develop a cost effective E. coli in water detection system with processing time less than 4 hrs based on a specific enzymatic detection (β-D glucuronidase) which is widely used for the detection and enumeration of E. coll.
