Treebupachatsakul, Treesukon

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Classification model for predicting inflammation of the urinary bladder and acute nephritis of the renal pelvis
(2022-01-01)
Lochotinunt, Chanin
;
Pechprasarn, Suejit
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Treebupachatsakul, Treesukon
Urinary tract diseases can occur in many organs of the urinary system, such as kidneys, urinary bladder, renal pelvis, ureters, and urethra. The most common disease in the urinary system is bladder inflammation, cystitis, and acute nephritis. In this research, the classification artificial intelligent model is applied to predict 2 symptoms of inflammation of the urinary bladder and acute nephritis of the renal pelvis from 6 parameters, including body temperature of patient, nausea, lumbar pain, urinary pushing, micturition pains, and burning of the urethra. Here, the principal components analysis or PCA are also applied to identify the critical parameters employed to train the machine learning model. Here, we propose to compare several machine learning classification models and show the proper model accurately diagnosing these two symptoms.
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Microfluidic channel from gelatin using laser printer
(2020-10-29)
Lochotinunt, Chanin
;
Teechot, Thitirat
;
Pechprasarn, Suejit
;
Treebupachatsakul, Treesukon
Microfluidic channel is a tool for manipulating and controlling fluids under small precise volumes and spaces. Nowadays, microfluidic fabrication has used varieties of materials such as silicon, glass, polymer, and ceramic. These materials generate waste and pollution in our environment. Moreover, the process of making microfluidic is sophisticated. Therefore, using the green-material, Gelatin is an attractive alternative to fabricate microfluidic because it is abundant, cheap, environmentally friendly, and reusable. Here, the Gelatin is employed for fabricating microfluidic by which the channel features were prepared using a laser printer. The fabrication procedure consists of the following steps (1) design the microfluidic channel features and print them on a transparency plastic sheet using a laser printer. (2) Pour aqueous gelatin solution on this printed template plastic sheet and (3) make the liquid gelatin setting by cooling it down in a refrigerator or leave it at room temperature. These steps allowed us to fabricate the smallest channel of 1.78mm (width) x 0.19mm (height) from 3pt line with 30 times layer printed, which was applicable to flow the liquid through the microfluidic.
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Gelatin-Based Microfluidic Channel for Quantitative E. Coli Detection Using Blue Fluorescence of 4-Methyl-Umbelliferone Product and a Smartphone Camera
(2022-07-01)
Treebupachatsakul, Treesukon
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Lochotinunt, Chanin
;
Teechot, Thitirat
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Pensupa, Nattha
;
Pechprasarn, Suejit
Escherichia coli (E. coli) is a foodborne pathogen that can produce potent toxins, causing severe illnesses due to contaminated food and water consumption. This research has utilized a fluorescence measurement to quantify E. coli colonies from blue fluorescence emitted by 4-methyl-umbelliferone (4MU). The 4MU is the product of the catalytic reaction between beta-D-glucuronidase (GUD) secreted by multiple strains of Escherichia coli and its substrate 4-methylumbelliferyl-beta-D-glucuronide (MUG). Here, we apply the 4MU enzymatic reaction and propose simple instrumentation for label-free, real-time, in-situ, and quantitative E. coli measurement. The detection platform consists of a smartphone camera, an ultraviolet light source for fluorescence excitation, and MUG suspended microfluidic channels. The underlining mechanism for the proposed E. coli measurement is the passive diffusion process of the MUG secreted by E. coli and the GUD suspended in the gelatin, forming the blue fluorescence 4MU product in the channels. We have also proposed a cost-effective and eco-friendly fabrication method for preparing the MUG suspended gelatin microfluidic channels using a laser printer. Gelatin is an ultraviolet light-absorbing material in nature, providing an embedded optical filter. Here, we demonstrate that a smartphone camera can be utilized to image the fluorescence emission of the 4MU excited by the ultraviolet light in the gelatin film. The proposed E. coli detection technique allows the amount of E. coli colonies to be quantified without liquid sampling, cell-culturing, inoculation, and sophisticated equipment. Furthermore, the proposed method has a trade-off between response time and detection limit.
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Detection Limit of Surface Plasmon Resonance Sensor for Quantitative Foodborne E.coli Detection Using Effective Refractive Index Theory : The theoretical limit of E.coli detection of surface plasmon resonance
(2021-01-01)
Pensupa, Nattha
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Treebupachatsakul, Treesukon
;
Lochotinunt, Chanin
;
Pechprasarn, Suejit
Surface plasmon resonance has been a gold standard for label-free biomedical and biochemical measurements, such as protein binding kinetics, protein-protein interactions. The surface plasmon resonance has also been utilized in food safety screening, including Escherichia coli and Salmonella detection. The theory of surface plasmon resonance has been well established and demonstrated its ultra-sensitivity to detect small nucleotides, proteins, and molecules. However, the results, so far, for the E.coli detection under the surface plasmon resonance have not shown an impressive detection limit. The typical detection limit of E. c o l i under the conventional surface plasmon detection platform is around 103CFUml. The detection limit can be enhanced using a secondary binding agent to E.coli, including conjugated nanoparticles. Here, we propose a theoretical framework using effective refractive index theory to explain the detection mechanism and give an insight into the underlining obstacles that degrades the detection limit of the surface plasmon resonance.

Treebupachatsakul, Treesukon

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