Hannanta-Anan, Pimkhuan

Preferred name

Alternative Name

Hannanta-anan, Pimkhuan

Hannanta-Anan, P.

Main Affiliation

School of Engineering

pimkhuan.ha@kmitl.ac.th

Now showing 1 - 10 of 15

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Explainable machine learning reveals diverse yield-determining factors among Thai rice farmer cohorts: Implications for targeted agricultural support
(2026-06-01)
Suriyalaksh, Manusnan
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Prommawin, Benjapon
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Hannanta-Anan, Pimkhuan
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Sreewongchai, Tanee
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Promchote, Parichart
Rice yield prediction and optimization remain crucial challenges in Thailand’s agricultural sector. This study presents an explainable machine learning framework for predicting farm-level rice yields and identifying key factors affecting productivity. We collected comprehensive data from 1,722 smallholder farmers in central Thailand, encompassing 58 agronomic and economic variables. Four automated machine learning (AutoML) frameworks – AutoGluon, auto-sklearn, h2o, and mljar – were evaluated using 5-fold cross-validation, with AutoGluon achieving the best performance (root mean square error: 0.532 tonnes/hectare, mean absolute error: 0.372 tonnes/hectare, R<sup>2:</sup> 0.538). Using global SHapley Additive exPlanations (SHAP) analysis, we identified farmers’ social networks, rental costs during harvest, and total harvesting expenses as the most influential predictors of rice yields. Notably, stronger social network connectivity was associated with higher yields, suggesting that information sharing and collective knowledge within farming communities play a key role in improving productivity. Clustering analysis based on individual SHAP values revealed six distinct farmer cohorts, each characterized by unique patterns of feature importance. These cohort-specific insights demonstrate the potential of combining AutoML with explainability techniques to move beyond uniform agricultural recommendations towards precision support tailored to the specific needs of different farmer cohorts.
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Machine Learning-Driven and Smartphone-Based Fluorescence Detection for CRISPR Diagnostic of SARS-CoV-2
(2021-02-02)
Samacoits, Aubin
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Nimsamer, Pattaraporn
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Mayuramart, Oraphan
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Chantaravisoot, Naphat
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Sitthi-Amorn, Pitchaya
Rapid, accurate, and low-cost detection of SARS-CoV-2 is crucial to contain the transmission of COVID-19. Here, we present a cost-effective smartphone-based device coupled with machine learning-driven software that evaluates the fluorescence signals of the CRISPR diagnostic of SARS-CoV-2. The device consists of a three-dimensional (3D)-printed housing and low-cost optic components that allow excitation of fluorescent reporters and selective transmission of the fluorescence emission to a smartphone. Custom software equipped with a binary classification model has been developed to quantify the acquired fluorescence images and determine the presence of the virus. Our detection system has a limit of detection (LoD) of 6.25 RNA copies/μL on laboratory samples and produces a test accuracy of 95% and sensitivity of 97% on 96 nasopharyngeal swab samples with transmissible viral loads. Our quantitative fluorescence score shows a strong correlation with the quantitative reverse transcription polymerase chain reaction (RT-qPCR) Ct values, offering valuable information of the viral load and, therefore, presenting an important advantage over nonquantitative readouts.
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Smartphone-compatible, CRISPR-based platforms for sensitive detection of acute hepatopancreatic necrosis disease in shrimp
(2022-12-01)
Naranitus, Punyaporn
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Aiamsa-at, Praphutson
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Sukonta, Thanwarat
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Hannanta-anan, Pimkhuan
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Chaijarasphong, Thawatchai
Acute Hepatopancreatic Necrosis Disease (AHPND), caused by bacterial isolates expressing PirAB binary toxins, represents the severest and most economically destructive disease affecting penaeid shrimp. Its rapid disease progression and associated massive mortalities call for vigilant monitoring and early diagnosis, but molecular detection methods that simultaneously satisfy the requirements of sensitivity, specificity, and portability are still scarce. In this work, the CRISPR-Cas12a technology was harnessed for the development of two fluorescent assays compatible with naked-eye visualization. The first assay, AP4-Cas12a, was based on the OIE-recommended AP4 two-tubed nested PCR method and was designed to bypass the time-consuming and potentially hazardous agarose gel electrophoresis step. Using AP4-Cas12a, the detection limit of 10 copies per reaction could be achieved within less than 30 minutes post-PCR. The second assay, RPA-Cas12a, utilized recombinase polymerase amplification (RPA) to rapidly and isothermally amplify the target DNA, followed by amplicon detection by Cas12a, resulting in a protocol that can be completed in less than an hour at a constant temperature of 37°C. The detection limit of RPA-Cas12a is 100 copies of plasmid DNA or 100 fg of bacterial genomic DNA per reaction. Importantly, we validated that both assays are compatible with a previously reported smartphone-based device for facile visualization of fluorescence, thereby providing an affordable option that requires less consumables than lateral flow detection. Using this portable device for readouts, the AP4-Cas12a and RPA-Cas12a methods showed excellent concordance with the AP4-agarose gel electrophoresis approach in the evaluation of clinical samples. Therefore, the developed Cas12a assays have the potential to streamline both in-laboratory and onsite diagnosis of AHPND.
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Fabrications of Low-Cost Poly(methyl methacrylate) Microfluidic Devices for Precise Passive Flow Control
(2024-01-01)
Kaewtae, Wattana
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Tanasapsakul, Warinthorn
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Pattamang, Pattaraluck
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Ranron, Norabadee
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Sripumkhai, Witsaroot
Microfluidics serve as effective platforms for conducting point-of-care diagnostics and biochemical assays which require precise control over flow rates and incubation times. To enable their uses in resource-limited settings, a pump-free approach is essential for driving fluid flow within the microfluidics. In this study, we introduced cost-effective methodologies for fabricating poly(methyl methacrylate) (PMMA)-based microfluidic devices driven passively by capillary pressure. We explored three fabrication techniques including two-layer CNC micro-milling, two-layer laser engraving, and three-layer laser cutting. Among these methods, three-layer laser cutting proved to be the most reproducible method, yielding devices with consistent channel dimensions and contact angles. Consequently, this fabrication technique enables better control over flow rates within microfluidic systems. Our findings demonstrate the feasibility of fabricating low-cost, pump-free microfluidic devices for precise flow control, with potential applications in disease detection and biomedical research.
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Computationally guided design of N4-(2-methyl-2H-indazol-6-yl)-N2-phenylpyrimidine-2,4-diamine inhibitors of EGFR kinase targeting Cys797
(2026-03-01)
Konsue, Adchata
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Gleeson, Duangkamol
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Choowongkomon, Kiattawee
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Jones, Donald J.L.
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Hannanta-anan, Pimkhuan
The epidermal growth factor receptor kinase (EGFR) is a tyrosine kinase (TK) implicated in the uncontrolled growth of non-small cell lung cancer. EGFR-TK inhibitors have been used extensively, however inhibitor resistance often develops leading to disease progression. In this work, we report the computationally guided design and preparation of novel covalent 2,4-diaminopyrimidine EGFR-TK inhibitors, inspired by Osimertinib. Molecular dynamics simulations and quantum mechanical (QM) calculations were performed on novel designs incorporating a 2-methyl-2H-indazol-6-amine at the 4-position of pyrimidine as well as various linkers and electrophiles. Calculations suggested swapping the 5-pyrimidine -H atom for -Cl would lead to a preferential “out” ligand conformation that favored T790M enzyme which was later confirmed experimentally. Compound 19 was the most potent inhibitor of WT EGFR (3.0 nM) observed, more potent than the EGFR WT inhibitor Erlotinib (5.9 nM). Compounds 48 and 49 demonstrated better activity for the double-mutant EGFR (3.0 & 2.0 nM, respectively) than Osimertinib (12.8 nM). The selectivity of these compounds for the DM was found to be comparable to Osimertinib (∼20 fold) while their phosphate buffer solubilities were > 50-fold better than both marketed drugs. Kinetic evaluation of 48 (propenamide moiety) vs 49 (acrylamide electrophile) confirms k<inf>inact</inf>/K<inf>i</inf> values consistent with a covalent mode of action for the latter, but not the former. 2009 Elsevier Ltd. All rights reserved.
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An RT-RPA-Cas12a platform for rapid and sensitive detection of tilapia lake virus
(2022-11-15)
Sukonta, Thanwarat
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Senapin, Saengchan
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Taengphu, Suwimon
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Hannanta-anan, Pimkhuan
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Kitthamarat, Mintra
Tilapia lake virus (TiLV) or Tilapia tilapinevirus is a highly contagious pathogen that causes severe symptoms and massive mortalities in tilapia, affecting numerous tilapia-farming communities across the continents. Though TiLV has grown into a serious threat that could undermine the aquaculture-based economy and global food security, effective therapeutics and vaccines are not yet commercially available, rendering prompt detection and control the most practical strategy. Current TiLV diagnostic techniques, however, face a number of constraints that restrict their utility, including low throughput and high resource demands imposed upon users. To fill in this critical gap, we developed a novel CRISPR-Cas12a method coupled with reverse-transcriptase recombinase polymerase amplification (RT-RPA-Cas12a) for TiLV detection, using Segment 9 as the target. The platform could detect as few as 200 copies of RNA and produced no false positive results when tested with other fish pathogens. The assay could be carried out at a constant temperature between 37 and 42 °C in less than an hour, allowing naked-eye interpretation of the results through lateral flow and smartphone-based readouts. Taken together, our RT-RPA-Cas12a platform is accurate, streamlined, and user-friendly, and thus has the potential to be a valuable asset in combating the growing threat posed by TiLV.
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A Cost-Effective Digital Microfluidic System for CRISPR Diagnostic Automation
(2024-01-01)
Vunkong, Jirachaya
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Hannanta-Anan, Pimkhuan
CRISPR diagnostics offer precise detection of genetic material with high specificity and accuracy while adaptable for field deployment. However, the labor-intensive steps required can reduce usability and increase the risk of human error. To overcome these limitations, we developed a low-cost digital microfluidic (DMF) platform integrated with a custom fluorescence imaging module for the automation of CRISPR diagnostics. Our DMF platform was built from a basic PCB array coated with a layer of parafilm and silicone oil. The fluorescence module was custom designed and fabricated through 3D printing. Our integrated platform effectively facilitated movement, mixing, and fluorescence imaging of water and CRISPR-Cas reagents. This affordable DMF system demonstrates its initial feasibility for automating CRISPR diagnostics, enhancing accessibility and user- friendliness.
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Effects of extrusion variables on extrudate characteristics from corn-based enriched with soybean residue
(2019-09-09)
Unsaeng, K.
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Hannanta-Anan, P.
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Phongpipatpong, M.
Soybean residue is a food processing by-product of soya milk or tofu production process. It consists of rich protein and fiber. As a result, reprocessing soybean residue as human food can be a worthwhile alternative. This research focuses on studying the effects of extrusion process and the extrudate characteristics. The mixture of corn grit and soybean residue flour was extruded by single-screw extruder to produce high protein snack. Experimental design was performed by Box-Behnken design and Response surface methodology (RSM) was used to assess the effects on extrusion variables, including screw speed (370-430 RPM), soybean residue flour content (20-40%) and feed moisture (14-18%) on the properties of the extrudates including, expansion ratio (ER), density (D), water absorption index (WAI), water solubility index (WSI) and hardness (H). Analysis of variance showed that the most significant variables are soybean residue, which has negative effect on ER and positive effect on H, and screw speed, which has positive effect on ER and H, while feed moisture is non-significant in most characteristics.
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Effect of extrusion conditions on the physical properties of coconut rice-based extrudates
(2019-09-09)
Dumchaiyapoom, K.
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Hannanta-Anan, P.
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Phongpipatpong, M.
Coconut meal is a by-product of coconut oil and coconut milk production. It is a rich source of dietary fiber which shows to have an important role in lowing the risk of various chronic diseases. Therefore, it is interesting to convert the coconut meal, previously recognized as a valueless by-product, into a nutritious food product. The aim of this work is to investigate the possibility of such conversion using a widely known extrusion method. The effect of extrusion variables, including the coconut meal content (0, 6, and 12 %), glutinous rice content (5, 10 and 15%) and screw speed of extruder (380, 400 and 420 rpm) were investigated on the properties of extruded products. Physical properties of the extrudates such as expansion ratio, density, water absorption index (WAI), water solubility index (WSI), crispness and moisture content were evaluated. Our study showed that the extrudates had expansion ratio of 2.30-2.78%, density of 0.55-0.76 g/cm<sup>3</sup>, WAI of 4.24-5.50 g/g, WSI of 21.51-33.37%, crispness of 16.87-27.73 kg.sec and moisture content of 6.76-8.27%. The regression models for true density, expansion ratio, crispness, WAI and WSI were derived and statistically significant (p<0.05).
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An ultra-violet sterilization robot for disinfection
(2019-07-01)
Chanprakon, Pacharawan
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Sae-Oung, Tapparat
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Treebupachatsakul, Treesukon
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Hannanta-Anan, Pimkhuan
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Piyawattanametha, Wibool
Ultraviolet (UV) sterilization technology is used to aid in reduction of microorganisms that may remain on the surfaces after a standard cleaning to the minimum number. Our research team developed a UV robot or UV bot for sterilization in an operating or a patient room. Our UV bot has three 19.3-watt of UV lamps mounted on top of the UV bot platform covering 360° direction. Our UV bot employed an embedded system based on a Raspberry Pi to aid in navigation to avoid obstacles. In addition, we tested the effectiveness of eliminating Staphylococcus Aureus bacteria sample plates located 35 cm away from our UV bot to be within 8 seconds after UV light exposure.
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Hannanta-Anan, Pimkhuan

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