Global Impact Journal: Life Sciences & Biology

Study of the Growth and Metabolic Insights of Kiwi Fruit by the Application of Amino Acid and Organic-Based Biostimulants

2026-08-29T05:38:38+00:00

Investigating the application of sustainable agricultural approaches, such as the use of biostimulants, is considered more significant than ever, especially in the commercially important species Actinidia deliciosa L., in the face of climate change. In this work, the application of a glycine–betaine–proline-based biostimulant (GBP) and a humic and fulvic acid-based biostimulant (HF) was evaluated on the growth and metabolism of kiwi trees under field conditions. Total phenolic content, proline, and chlorophyll content were analyzed during the experiment. The metabolic data showed that the kiwi trees of the GBP treatment were more robust, as indicated by proline analysis (0.41 ± 0.09 μmol g⁻¹) compared to C (0.28 ± 0.06 μmol g⁻¹). This vigor of GBP treatment was also represented in leaf area (3943.17 ± 211.26 cm²), compared to the C (3484.01 ± 354.19 cm²). The implementation of biostimulants constitutes an ecological approach that can be integrated into biological crop management, as it is environmentally friendly, non-invasive to the ecosystem, and aims for crop resilience to biotic or abiotic stress.

Automation-Assisted Recovery and Dispensing of Micro-Particle Salt in Industrial Food Production Lines: System Development and Experimental Analysis

2026-05-19T10:27:29+00:00

Salt and seasoning application plays a critical role in flavor and product consistency in industrial food manufacturing; however, manual recovery of excess salt limits both hygiene and process efficiency. In this study, a closed-loop salt dispensing machine capable of operating between 120–700 kg/h was developed to automatically recover salt that does not adhere to the product surface during processing. The required motor power and torque for achieving the maximum discharge rate of 700 kg/h were analytically calculated and experimentally validated. Homogeneity tests performed on a 1.2-m conveyor indicated maximum and minimum deviations of 5.3% and 7%, respectively. Overall, the system eliminates material waste, enhances hygiene, and provides more controlled salt distribution compared to conventional manual methods.

Sub-Acute Preclinical Evaluation of the Consumption of High-Protein Vegetable-Based Cookies

2026-08-29T05:48:50+00:00

Development of innovative functional foods is a key sports nutrition strategy to enhance physical performance, support recovery, and promote overall health. Plant-based protein-rich products have emerged as a sustainable alternative to conventional animal-protein sources, offering nutritional benefits and reducing environmental impact. This study aimed to develop high-protein plant-based cookies using a conventional formulation enriched with carrot, broccoli, and legume flour, and to evaluate their effects in a preclinical model. The nutritional composition was determined using standard food analysis methods and microbiological assays were conducted to ensure safety. Twelve-week-old male Wistar rats were randomly assigned to either a standard diet group or a cookie-supplemented group. The intervention consisted of daily administration of cookies at a dose of 5.3 g/kg body weight for 15 days. Physiological and biochemical parameters, including body weight, glucose, lipid profile, renal function, muscle thickness, and grip strength, were assessed. Despite no significant differences in glucose and lipid profiles between groups, increased muscle thickness (pubococcygeus and gastrocnemius), improved grip strength and higher levels of urea and creatinine were observed in the supplemented group. These findings indicate that high-protein plant-based cookies are safe in preclinical conditions and may promote functional benefits such as enhanced muscle strength and lean mass development. Therefore, they represent a promising and sustainable functional food for sports nutrition applications.

Meat Species Identification and Classification by MALDI-TOF Mass Spectrometry

2026-08-29T05:27:45+00:00

Protein profiling generated by MALDI-TOF (matrix-assisted laser desorption ionization-time-of-flight) was used to distinguish meat from different livestock species and identify meat species. Meat proteins from fresh beef (n = 12), pork (n = 7), chicken (n = 5) and tilapia fish (n = 3) were extracted and analyzed in a MALDI Biotyper mass spectrometer (Bruker Daltonics, Bremen, Germany) with alpha-cyano-4-hydroxycinnamic acid as the matrix. Mass spectra allowed the distinction of meat species, including between Nellore and Angus bovine breeds, and PCA classification revealed possible biomarkers for meat types. Our results corroborate MALDI-TOF mass spectrometry as an interesting tool for meat identification, which is useful for quality control and the certification of meat products.

An Exploration of Temporal Yield Dynamics in Hydroponic Cucumber Treated with Foliar Biostimulants Using Functional Data

2026-08-29T06:01:49+00:00

The present study explored the dynamic effects of foliar biostimulants on cucumber (Cucumis sativus var. Centauro) accumulated yield curves using a novel statistical approach: Functional Data Analysis (FDA). Four treatments were tested: T1 (control, water), T2 (seaweed extract with N, K, B, Zn), T3 (high Mg, B, Zn), and T4 (T2 + T3). Yield was measured over four harvest cuts. FDA modelled cumulative yield as continuous functions. Functional principal component analysis identified one major mode of variation, revealing an accelerated yield response between the second and third cuts, especially for T4. A functional generalized regression detected significant treatment effects (p = 0.029), which were not detected by a traditional repeated-measures ANOVA (p = 0.074). The results showed that FDA captures subtle, time-dependent growth dynamics missed by conventional methods. The combination treatment (T4) maximized yield via early-phase acceleration, highlighting a synergistic biostimulant effect. FDA provided a superior analytical framework for understanding continuous crop responses to biostimulants.