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IoMT–Fog–Cloud-based AI frameworks for chronic disease diagnosis: updated comparative analysis with recent AI-IoMT models (2020–2025)
(2026-01-01)
Locharoenrat, Kitsakorn
Chronic diseases such as diabetes and cardiovascular disease require frequent monitoring and timely clinical feedback to prevent complications. Internet of Medical Things (IoMT) systems increasingly combine near-patient sensing with Fog and Cloud computing so that time-critical preprocessing and inference can run close to the patient while compute-intensive training and population-level analytics remain in the Cloud. This review synthesizes primary studies published between 2020 and 2025 that implement AI-enabled IoMT, with an emphasis on systems that report both diagnostic performance and network quality-of-service (QoS). Following PRISMA 2020, we screened database records and included 14 primary studies; we focus the joint performance–QoS synthesis on six IoMT–Fog–Cloud frameworks for diabetes and cardiovascular disease and compare them with two recent multi-disease AI-IoMT models (DACL and TasLA). Diabetes-oriented implementations commonly report accuracy around 95%–96% using explainable or ensemble deep learning, whereas some cardiovascular frameworks report >99% accuracy in controlled settings; we therefore discuss plausible sources of optimistic performance, including small datasets, class imbalance, curated benchmarks, and potential leakage/overfitting in simulation-based evaluations. Across IoMT–Fog–Cloud studies, placing preprocessing and/or inference at the Fog layer repeatedly reduces end-to-end latency for streaming biosignals, but multi-Fog provisioning can increase energy and power demands. To support more reproducible comparisons, we organize 14 extracted metrics into (i) diagnostic performance (accuracy, precision, recall, F1-score, sensitivity, specificity) and (ii) system/network QoS (latency, jitter, throughput, bandwidth utilization, processing/execution time, network usage, energy consumption, power consumption), and we translate the evidence into study-linked design recommendations for future deployments.
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Impact of the Internet of Medical Things on Artificial Intelligence-enhanced medical imaging systems from 2019 to 2023
(2025-01-01)
Locharoenrat, Kitsakorn
This review addresses the disease diagnosis from brain, eye, and lung scan images based on non-invasive imaging technologies using the Internet of Medical Things (IoMT) and Artificial Intelligence (AI) systems, a topic that has been neglected in the recent literature. Combining imaging modalities with IoMT and AI is expected to enhance both medical diagnoses and personalized treatment plans. We searched various scientific databases for details on IoMT and AI in medical imaging technologies from 2019 to 2023, focusing on different imaging modalities. We investigated the performance of AI-based algorithms in imaging modalities such as X-ray, Computed Tomography, Magnetic Resonance Imaging, Positron Emission Tomography, and Optical Coherence Tomography using the following metrics: accuracy, precision, recall, sensitivity, specificity, and F-1 score, and then analyzed their balanced performance in six issues: enhancement of medical image quality, improvement of clinical diagnoses, support for clinical decision-making, consideration of input data, time efficiency, and data management. Advanced understanding of the IoMT and AI applications in medical imaging technologies would help identify unexplored opportunities and provide directions for future research to enhance the clinical applicability.
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Water remediation with a dielectric-free portable triple-electrode cold plasma discharge system
(2024-01-01)
Sutjitjoon, Prathana
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Nupangtha, Wasin
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Saidarasamoot, Kamtorn
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Locharoenrat, Kitsakorn
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Lekchaum, Sarai
This paper presents the design and application of a portable multi-electrode cold plasma corona discharge system for pollutant degradation in wastewater. The system generated stable plasma without a dielectric barrier, producing active species such as hydroxyl radicals, hydrogen peroxide, nitrite, and nitrate. The experimental results presented a pollutant degradation efficiency of 100%, reducing methylene blue as a model pollutant from 6 ppm to 0 ppm within 125 s at an optimized electrode distance of 0.20 cm. This optimization minimizes the risks associated with the arcing and self-collision of plasma streams while sustaining continuous plasma discharge, ensuring the maximum breakdown voltage and high ion density for efficient plasma production. The system further demonstrated its application in treating hand washing as a target pollutant to reduce the risk of infection during the COVID-19 pandemic. A comparative analysis highlighted the advantages of the system in terms of rapid treatment, energy efficiency, and low-cost operation. The processed water met the World Health Organization (WHO) wastewater discharge standards and WHO guidelines for virus elimination, with residual nitrogen compounds maintained below 50 ppm and hydrogen peroxide levels kept under 5,000 ppm, confirming the effectiveness of the system in pathogen reduction and wastewater purification.
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Use of Ag-Au-ICG to increase fluorescence image of human hepatocellular carcinoma cell lines
(2023-01-01)
Sittisart, Pattarapol
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Locharoenrat, Kitsakorn
Indocyanine green (ICG) is effective for a variety of applications including liver tumour imaging and operates in the near-infrared window. Agents for near-infrared imaging are, however, still in clinical development. The present study aimed to prepare and investigate fluorescence emission properties of ICG in combination with Ag-Au in order to enhance their specific interactions with human hepatocellular carcinoma cell lines (HepG-2). The Ag-Au-ICG complex was prepared via physical adsorption, and hence evaluated for fluorescence spectra using a spectrophotometer. Ag-Au-ICG at an optimised dosage (Ag-Au:ICG = 0.0147:1 molar ratio) in Intralipid medium was added to HepG-2 to observe the maximum fluorescence signal intensity, which further enhanced HepG-2 contrast fluorescence. Ag-Au-ICG served as a fluorescence enhancer bound onto the liposome membrane, whilst free Ag, Au, and pure ICG induced low levels of cytotoxicity in HepG-2 and a normal human cell line. Thus, our findings provided new insights for the liver cancer imaging.Highlights Concentration-dependent fluorescence peaking in the near-infrared window revealed ICG aggregation in Ag-Au molecules. Ag-Au-ICG fluorescence intensity depended strongly on the environmental media. Human hepatocellular carcinoma cell lines treated with Ag-Au-ICG in Intralipid enhanced the contrast of fluorescence microscopy images by decreasing the level of scattering in the cell lines with the contrast values being approximately five times those observed in pure ICG in Intralipid.
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Evaluation of a docetaxel-cisplatin-fluorouracil-Au complex in human oral carcinoma cell line
(2023-01-01)
Khamaikawin, Wannisa
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Locharoenrat, Kitsakorn
Higher tobacco and alcohol use have led to a consistent increase in head and neck cancer incidence rates. Currently employed chemotherapeutic and surgical treatment are associated with significant drawbacks. Herein, we evaluated the anti-tumour effect of gold nanoparticles as a vehicle for the delivery of a triple chemotherapy drug formulation and elucidated the potential underlying mechanism. The hydrodynamic size of docetaxel, cisplatin, and 5-fluorouracil physically co-adsorbed on Au nanoparticles was 56 ± 0.8 nm, showing a negative zeta potential. Fourier transform infra-red spectroscopy data confirmed that the triple chemotherapy drug successfully interacted with the gold nano-carrier. Au nanoparticles exhibited high loading efficacy of docetaxel (61%), cisplatin (75%), and 5-fluorouracil (90%), with a controlled drug release profile at 24 h. The triple chemotherapy drug formulation was tested in human oral cavity cancer cell line (KB). Cytotoxicity achieved through a synergistic effect between the treatments led to apoptosis, with a lower half-maximal inhibitory concentration indicating higher cytotoxicity than that of plain docetaxel-cisplatin-fluorouracil. Taken together, we demonstrated that the docetaxel-cisplatin-fluorouracil-gold complex exhibited excellent cytotoxicity in KB cells, superior to that docetaxel-cisplatin-fluorouracil.HIGHLIGHTS The docetaxel-cisplatin-fluorouracil-Au complex showed a controlled drug-release profile at 24 h. The docetaxel-cisplatin-fluorouracil-Au complex exhibited enhanced internalisation efficiency in cells. Au nanoparticles were biocompatible, with no change in apoptosis among cell line. Spherical Au nanoparticles allowed a high volume of incorporated docetaxel, cisplatin, and 5-fluorouracil to steadily attach onto cells.
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Effective detection of ZnO in nicotine using butterfly wing scales
(2022-01-01)
Changcharoen, Thanachai
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Apiphatnaphakul, Thidsanu
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Watjanavarreerat, Wasupon
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Locharoenrat, Kitsakorn
This study aimed to elucidate the optical functions of naturally butterfly wing scales via precise control of morphology as an effective photonic sensor and confirm the content of metal oxide nanoparticles in surrounding nicotine. Metal oxide nanoparticles mixed with nicotine were deposited on the wing scales through the spin-coating method and hence investigated using optical microscopy and spectroscopy. Experimental results demonstrated that absorption intensities of ZnO and TiO<inf>2</inf> mixed with nicotine on Danaus genutia were remarkably enhanced. Due to the relatively high concentration of zinc found in e-cigarette aerosol, the intensity of ZnO/nicotine modelled as aerosol adsorption on Danaus genutia, further held a certain linear relationship with the concentration of ZnO. The limit of detection of ZnO was as low as 1 nM. The working mechanism of our sensor was explained through the molecular adsorption after H-bond formation of ZnO/nicotine molecules as high-index materials on the wing scales of Danaus genutia without aggregation. This photonic sensor is an alternative to the present-day methods for the rapid test of ZnO content, which is very simple without complicated instrumentation. Furthermore, our method might become a starting point for the advancement of portable instruments for onsite ZnO detection.
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Use of zinc oxide nanoparticles for detection of fluoride in toothpaste gel
(2022-01-01)
Watjanavarreerat, Wasupon
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Steier, Liviu
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Locharoenrat, Kitsakorn
This study aimed to investigate the metal-binding effect of fluoride, contained in different commercial toothpaste gels; the study aimed to determine if the toothpastes contained excessive concentrations of fluoride, which result in white spot lesions. A spectrophotometric method that used spectrophotometric reagents, including zinc oxide nanoparticles and iron chloride, was used to determine fluoride distribution; the analysis was based on the selective attack of fluoride ions on metals. Fluoride concentrations between 0 and 1450 ppm were analyzed. Although the iron–fluoride complex was a more sensitive reagent, the zinc–fluoride complex could serve as a suitable alternative to it for fluoride analysis, partly because the method was less time consuming and more stable. The detection and quantification limits obtained from the linear calibration curves of the zinc–fluoride complexes, in deionized water, were 0.191:1 and 0.579:1 w/w ZnO, respectively. A model calibration curve was suggested to detect the unknown products of fluoride degradation. Dentists could use a fluoride treatment similar to the protocol used in this study, to prevent potential enamel demineralization, and exclude physical cavity preparation and restoration.
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Antitumor activities of carboplatin–doxorubicin–ZnO complexes in different human cancer cell lines (breast, cervix uteri, colon, liver and oral) under UV exposition
(2021-01-01)
Pairoj, Suttirak
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Damrongsak, Pattareeya
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Damrongsak, Badin
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Jinawath, Natini
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Kaewkhaw, Rossukon
This study aimed to examine the pharmacological profiles of multiple chemo drug candidates in systematic circulation to enhance their specific interactions with five human cancer cell lines. ZnO nanoparticles were successfully bound with chemo drugs via physical adsorption. The drug loading capacity was confirmed by FTIR, whereas the loading efficiency was determined via UV–vis spectrometry. The mean hydrodynamic size increased to 69–82 nm after chemo-drug immobilization via non-covalent interaction with ZnO. Among the nine formulated chemo drugs, the carboplatin (CP)–doxorubicin (DOX)–ZnO complex under UV light irradiation exhibited high sensitivity towards human breast adenocarcinoma cells without affecting human keratinocyte immortal cells with an IC<inf>50</inf> of 0.137 µg/mL, whereas the loading capacity and efficiency of CP–DOX–ZnO were 77.81% and 99.05%, respectively. Fluorescence images confirmed that CP–DOX–ZnO using DOX served as a fluorescence enhancer specifically bound onto the cell membranes, which became almost saturated after 24 h incubation. Carboplatin–DOX–ZnO was possibly endocytosed by cancer cells and was selectively internalized into the target cells; thus, free chemo drug was released in the cytoplasm, which induced acute apoptosis. This resulted in complete inhabitation of growth signal of target cancer cells.
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Efficiency of tooth bleaching agent on staining and discoloration characteristics of nicotine stained dental enamel model
(2020-08-10)
Lertsukprasert, Nattha
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Locharoenrat, Kitsakorn
Background: Surface staining and deeper discoloration characteristics of peroxide-based bleaching agents in the nicotine stain in dental enamel model were evaluated in the present study. Methods: Nicotine stained dental enamel fragments (n = 36) were prepared and were subjected to the bleaching ingredients for a fixed treatment time of 30 min. The bleaching agents were composed of limonene, coconut diethanolamide, and carbamide peroxide served as solvent, nonionic surfactant, and oxidizer, respectively. Optical analysis was carried out considering color stability via colorimeter and UV-Vis spectrometer. Results: Degrees of color variations were significantly influenced by nicotine content and bleaching ingredient factors. They varied in the range of approximately 3.00 and 5.00 units for all tooth-bleaching agents. The most prominent degrees of color variation elevations were obtained in the tooth bleaching formulae set #2 (1.0% limonene + 20% coconut diethanolamide) in the stained tooth model in comparison to set #1 (0.5% limonene + 10% coconut diethanolamide) and set #3 (1.5% limonene + 30% coconut diethanolamide), partly due to the perceptible color changes. The lowest degree of color variation under a dose limitation was found in the tooth bleaching formulae set #2 + 10% carbamide peroxide formulation. Absorbance spectra were also evaluated after the interaction of bleaching treatment. They confirmed a relationship between nicotine content and discoloration characteristics of the tooth bleaching formulae set #2 + 10% carbamide peroxide. Conclusions: Carbamide peroxide is considered as generator of free radicals. It converts the color of stains to clear by oxidizing the organic compounds in the stained dental enamel model, achieving whiteness enhancement.
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Computational algorithm of high-intensity focused ultrasound beams in cancer tissue model for hyperthermia therapy
(2020-01-01)
Songkaitiwong, Kittiphot
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Locharoenrat, Kitsakorn
We calculate the acoustic field of a high-intensity focused ultrasound field in a 2D-model of human breast carcinoma and induce temperature elevation for the generation of necrosis. The computational operation is based on the Pennes bioheat concept. This method provides precise heat transfer values based upon thermal conduction in soft tissue and thermal convection in the domain of the blood. An ultrasound beam at 1 MHz was laterally focused on a tumor of 15.0 mm x 28.5 mm at different focal depths without elevational focalization. The length of each focus point of the ultrasound beam was 6.8 - 45.4 mm on the vertical axis, whereas the full width at half maximum was 1.1-2.5 mm on the horizontal axis. Simulated results showed that a discrepancy of the acoustic pressure around the focus area rises with focal depth. Like the pressure profile, when the focal depth is close to the ultrasound source, the thermal homogeneity around the focus area is attained, whereas thermal uniformity around the focus area becomes worse with increasing focal depth. Using the data visualization arrangement, a temperature profile corresponding to the obtained pressure profile is converted to attain a 2D image of a model of human breast carcinoma to show that tumor ablation was achieved and the healthy surrounding tissues were safe.

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