Chiravoot Pechyen

This study evaluated the biomedical potential of ethanolic extracts from five native Thai mushrooms, revealing distinct biological activities associated with their metabolomic profiles. Termitomyces clypeatus R. Heim demonstrated exceptional biocompatibility, effectively promoting human keratinocyte (HaCaT) proliferation without causing cytotoxicity to the cells. Its primary metabolome, rich in essential amino acids and nucleosides, supports its potential as a candidate for topical wound healing, pending further functional validation. Conversely, Lentinus squarrosulus exhibited strong antibiofilm properties and moderate direct antimicrobial activity against Staphylococcus aureus and Pseudomonas aeruginosa, demonstrating a weak additive effect with gentamicin. Mechanistic bioreporter screening and Liquid Chromatography Quadrupole Time-of-Flight Mass Spectrometry (LC-QTOF-MS) suggested that this efficacy may be associated with quorum-sensing disruption and the presence of bioactive hydroquinolones, in addition to potential genotoxic stress induction. While Schizophyllum commune displayed moderate effects, Volvariella volvacea and Thaeogyroporus porentosus exhibited high-dose cytotoxicity linked to severe oxidative stress and high organic acid content, limiting their direct high-dose biomedical applications. Ultimately, T. clypeatus R. Heim and L. squarrosulus have emerged as promising candidates that warrant further investigation for tissue regeneration and potential adjunctive anti-infective applications.

Uric acid is closely related to diseases such as gout, kidney failure, and metabolic disorders. A conventional method for measuring uric acid over 24 h is time intensive and cumbersome for patients who have to take samples to the hospital. At present, hospitals use only laboratory instruments to determine 24-h uric acid concentrations in the urine. This study presents the proof-of-concept of a portable point-of-care tool called Uricia, designed to improve the quality of life of patients monitoring uric acid. Spectrophotometry was performed at a fixed wavelength of 295 nm. The urine sample contained within the cuvette absorbs ultraviolet light, with uric acid specifically responsible for this absorption, thereby allowing the device to measure its concentration. An internal calibration algorithm was used to accommodate the nonlinear optical response of Uricia and was calibrated to a benchtop GENESYS 10S UV–Vis spectrophotometer. The experiments further evaluated potential urinary interferences, revealing that while most constituents had minimal impact, ascorbic acid demonstrated the highest interference, contributing up to 15% of the total signal at high physiological concentrations. This device and the corresponding spectrophotometry method revealed that high concentrations of uric acid precipitated insoluble crystals. A dilution set to an alkali solution vial to be premixed and dissolve the uric acid crystals was added, increasing the detection window to 10 mg/dL, with an LOD of 0.0232 mg/dL and LOQ of 0.0702 mg/dL. Cloud-based data measurement enables spot analysis, which is meant to provide insight into patient status development. These results validated the technical architecture of a controlled matrix for measuring uric acid.

In recent years, combination chemotherapy with therapeutic nucleic acids has emerged as a promising strategy to enhance the effectiveness of cancer therapy. However, developing an effective co-delivery system to simultaneously transport both chemotherapeutic drugs and nucleic acids remains challenging. Herein, we fabricated cholesterol-conjugated polyion complex nanoparticles (PCNs) for combination delivery of hydrophobic paclitaxel (PTX) and hydrophilic miR-34a. Cholesterol was conjugated to polyethylenimine (PEI) and hyaluronic acid (HA), producing C–PEI and C–HA, respectively. PTX was initially encapsulated within the hydrophobic core formed by the self-assembly of C–HA and C–PEI, yielding polyion complex nanoparticles (PTX@C–HA/C–PEI PCNs). Subsequently, the negatively charged miR-34a was electrostatically complexed with the cationic C–PEI moieties to generate miR-34a/PTX@C–HA/C–PEI PCNs. These PCNs exhibited a nanoscale structure with a uniform size distribution and demonstrated low cytotoxicity in colon cancer cells. Fluorescence microscopy confirmed efficient cytosolic delivery of C–HA/C–PEI PCNs in colon carcinoma cells. Furthermore, combination delivery of PTX and miR-34a using C–HA/C–PEI PCNs exhibited significantly enhanced transfection efficiency and cellular uptake for human colon cancer cells. Notably, PTX/miR-34a@C–HA/C–PEI PCNs effectively downregulated critical oncogenic targets, including Notch1, Snail1, and BCL-2, resulting in reduced cancer cell migration and proliferation. These findings indicate that PTX/miR-34a@C–HA/C–PEI PCNs hold significant potential as an innovative combination delivery platform, offering improved therapeutic efficacy for colon cancer therapy.

In recent years, Thailand’s agriculture sector has seen a significant rise in pesticide usage due to its vital role in the economy and global food trade. However, the uncontrolled use of pesticides poses severe health and environmental risks. This research focuses on the detection of pesticide residues, particularly carbaryl and paraoxon-ethyl, which are prevalent due to their high efficacy in pest control but pose neurological health risks by inhibiting acetylcholinesterase (AChE) activity, potentially impacting human health. The developed method assesses pesticide concentration by measuring changes in the CIE-LAB color space using a smartphone camera. Testing several concentrations (0.2, 0.6, and 1.0 ppm) over time revealed significant differences via ANOVA (F = 32.8, p < 0.001) and a strong linear relationship with R² values from 0.9129 to 0.9973 through regression analysis. Additionally, principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were utilized to further understand the relationship between color changes and pesticide type and concentration. PCA showed that the L* and b* values contributed most to explaining the variance in the data (96.24%), while PLS-DA provided classification models. These strong linear relationships between pesticide concentration and colorimetric changes showcase the method’s accuracy and potential for on-site pesticide monitoring in agricultural produce, emphasizing technological advancements in sustainable agriculture practices. This research presents encouraging findings from an inexpensive and straightforward method for detecting pesticide residues, suggesting that a specialized mobile application could enhance the implementation of the proposed system.

With the rapid expansion of flexible electronics, there is an urgent need for sustainable production methods that enhance device performance while minimizing environmental impact. This work presents an innovative, green approach for fabricating flexible, patterned electrodes via electric field-driven self-organization of conductive fibers onto flexible substrates. By applying high voltage to both the dispensing nozzle and an underlying printed circuit board substrate, the system leverages controlled electric fields to direct fiber jets with precision, eliminating the need for conventional masking techniques. The fiber composition-polyethylene oxide integrated with silver nanoparticles-provides both conductivity and environmental compatibility. This streamlined technique notably reduces material usage, processing time, and chemical waste. Practical demonstrations involve the construction of flexible conductive electrodes for humidity and temperature sensors, achieving a low sheet resistance near 10 Ω sq⁻¹, attesting to the method’s functional viability. The process ensures precise fiber alignment and consistent deposition, paving the way for its integration into flexible sensor and device applications. This study underscores the potential of electric field manipulation to revolutionize coating processes for sustainable and scalable production in flexible electronics.

Background/Objectives: This study aims to develop a screen-printed carbon electrode (SPCE) modified with silver nanoparticles (AgNPs) and gold nanoparticles (AuNPs) for the detection of human serum albumin (HSA). The objectives include utilizing green synthesis methods for nanoparticle production and evaluating the electrochemical performance of the modified electrodes. Methods: AgNPs and AuNPs were synthesized using Phulae pineapple peel extract (PPA) as a reducing agent. The nanoparticles were characterized using UV-visible spectrophotometry (UV-vis), Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), and transmission electron microscopy (TEM). The electrochemical performance of AgNP/SPCE and AuNP/SPCE was assessed by cyclic voltammetry (CV) studies, and the electrodes were functionalized with anti-HSA antibodies for HSA detection. Results: Characterization revealed spherical nanoparticles ranging from 10 to 30 nm. Both AgNP/SPCE and AuNP/SPCE demonstrated improved electrochemical performance compared to bare SPCEs. The modified sensors could detect serum albumin concentrations from 10 to 400 μg/mL, with high correlation values of 0.97 and 0.99 for AgNPs and AuNPs, respectively. Conclusions: This research demonstrates the potential of using agricultural waste for green synthesis of nanoparticles and highlights the application of AgNPs and AuNPs in developing sensitive biosensing platforms for the detection of human serum albumin.