Volume 21 Issue 3

This study presents an integrated method combining Principal Component Analysis (PCA) and Support Vector Machine (SVM) to distinguish genuine and artificial wood grains. The approach is based on acquiring nine-dimensional gloss data measured under varying angles and texture orientations, along with two surface roughness parameters: the arithmetic mean height (S_a) and maximum peak height (S_z). The dataset was divided into training and testing sets with a ratio of 7:3 after standardized. PCA was applied to the training set to extract the top k principal components. Then, these components served as input features for training an SVM classifier, whose discriminative performance was evaluated on the test set. Experimental results indicated that the proposed method achieved an accuracy of 96.76%, an F1-score of 0.9761, and a Matthews correlation coefficient (MCC) of 0.9285, substantially outperforming comparative models including standalone SVM, Logistic Regression (LR), Partial Least Squares (PLS), and Principal Component Regression (PCR). The method demonstrated high efficiency and robustness in distinguishing wood grain types, suggesting strong potential in practical engineering applications such as quality control and material authentication.

This work examines the uptake of Eosin Yellow (EY), an anionic dye, from aqueous solution using native maize (Zea mays) husk (MH) as a biosorbent. The biomass was characterized using Brunauer–Emmett–Teller (BET), Fourier transform infrared spectroscopy (FT-IR), and scanning electron microscopy (SEM), revealing a mesoporous structure and the presence of hydroxyl, carboxyl, and aromatic functional groups. Batch adsorption experiments were performed to assess the effects of contact time, pH, initial dye concentration, and adsorbent dosage. Maximum removal efficiency of 90.3% was attained at 1.5 g adsorbent dosage, pH 2, and 60-min contact time. The Langmuir isotherm best described the equilibrium data (R² = 0.957), with a maximum adsorption capacity of 44.5 mg g⁻¹. Kinetic data were adequately described by multiple empirical models, suggesting complex uptake behavior; however, no single rate-controlling mechanism was definitively established. Information from thermodynamic constants (ΔG° < 0, ΔH° = 21.0 kJ mol⁻¹, ΔS° = 9.25 J mol⁻¹ K⁻¹) signify that the adsorption process was spontaneous and endothermic, with features consistent with physisorption. Regeneration investigations revealed that the adsorbent retained appreciable performance over multiple cycles. These results revealed that maize husk is a promising biosorbent for dye removal under controlled laboratory conditions, although further studies are required to assess its performance in complex wastewater systems and at larger scales.

Seaweeds are natural resources with antibacterial and antioxidant activities. The major objective of this study was to detect the antibacterial and antioxidant potential and bactericidal activity of chicken fillets during storage. The ethanol extract of Gracilaria gracilis had the maximum antibacterial activity, with zones of inhibition of 19 ± 2 mm and18 ± 2 mm against Bacillus cereus ATCC 14579 and Salmonella enterica ATCC 13311, respectively. The minimum inhibitory concentration (MIC) of the G. gracilis extract ranged from 25 ± 1.25 to 75 ± 5 µg/mL, and this extract was effective against B. cereus. The polyphenol and flavonoid contents were greatest (0.29 ± 0.04 mg GAE/g DW and 37.2 ± 1.8 mg QE/g, respectively) in the G. gracilis extract. G. gracilis extract exhibited a maximum DPPH scavenging potential of 58.4 ± 2.4% inhibition. The chicken fillets were experimentally inoculated with S. enterica and B. cereus and treated with equal proportions of all three seaweeds (G. gracilis, G. latifolium, and H. dilatata extracts) at various concentrations (0 to 8%). The findings revealed that seaweed extracts had antibactericidal effects on chicken fillets stored at 4 °C, reduced the growth of S. enterica and B. cereus, and improved the sensory properties of chicken fillets.

Woody plants represent a valuable source of bioactive compounds for medicine. In this study, Carpinus cordata wood was extracted with different solvents. The extracts were analyzed using Fourier transform infrared (FTIR), thermogravimetric analysis (TGA), gas chromatography-mass spectrometry (GC-MS), pyrolysis-gas chromatography-mass spectrometry (Py-GC-MS), and thermal desorption – gas chromatography – mass spectrometry (TD-GC-MS). The results revealed a diverse array of compounds, including aromatic and aliphatic hydrocarbons, alkanes, aldehydes, ketones, carboxylic acids, and esters. These chemical constituents demonstrate significant potential as feedstocks for bio-oils and novel biomaterials in industrial and agricultural sectors. Furthermore, specific bioactive molecules with potential anti-inflammatory, anticancer, and anti-HIV properties were identified, underlining their promise for pharmaceutical and biomedical agents. Live/dead staining results of ethanol extracts of C. cordata wood exhibited significant cytotoxicity against the human chronic myeloid leukemia cell line K-562, indicating the presence of potent anti-cancer constituents. Overall, the multifaceted potential of C. cordata wood was shown to be a source of both bioactive extracts for medicine and valuable chemicals through thermochemical conversion.

This study aimed to establish quantitative relationships between the average uncut chip thickness and the colour change of beech wood (Fagus sylvatica L.) during face milling. A comprehensive analysis of colour change was conducted based on measurements of chromaticity parameters, lightness, total colour difference, and hue angle variation. It was concluded that the average uncut chip thickness was a key factor in determining the surface’s visual quality. It was found that an increase in average uncut chip thickness (0.13 to 0.38 mm) correlated with a decrease in total colour difference and an increase in lightness, bringing the machined surface’s colour closer to the original wood. This effect was attributed to the minimisation of local thermal effects through optimizing the cutting process. This avoids thermally sensitive chemical reactions that cause colour changes. Results from various statistical analyses showed significant differences in total colour differences across average uncut chip thicknesses of 0.13, 0.25, and 0.38 mm.