Ho Chi Minh City University of Food Industry

Abstract The present study delves into the intricate correlation between fiscal spending and green growth, specifically focusing on the catalyzing effect of green finance. Spanning the timeframe from 2005 to 2021, our investigation encompasses 18 developing and 14 developed countries. Leveraging Bayesian regression analysis, our findings uncover a nuanced juxtaposition in the effect of R&D expenditure on green growth across these divergent contexts. In developing nations, R&D spending demonstrates a discouraging negative effect on green growth, supported by a robust probability of 76.74%. Conversely, in developed countries, R&D expenditure manifests a promising positive influence, with a likelihood of 71.33%. However, upon integrating the pivotal role of green finance, a synergistic relationship emerges, underscoring its potential as a catalyst for bolstering green growth in both categories of nations. Grounded in these discerning insights, we delineate tailored implications aimed at fortifying green finance initiatives within each cohort of countries.

Under the irradiation of NIR, La0.9Ba0.1Co0.5Ni0.5O3 possesses good NIR absorption and photothermal conversion ability, which increased the temperature of the system and significantly promoted the catalytic activation of PMS.

This research presents the implementation of a modern meta-heuristic algorithm called the skill optimization algorithm (SOA) to solve the optimal power flow problem (OPF). An IEEE 30-bus transmission system is selected to test the real performance of SOA. The main objective function of the study is to minimize the total fuel cost (TFC) of all thermal units. To clarify the high performance of SOA, a classical meta-heuristic named particle swarm optimization (PSO) is also applied for comparison. All results reached by SOA are compared with those of PSO on different criteria. Particularly, SOA has reached smaller cost than PSO by $1.04, equivalent to 0.13% of PSO’s TFC. Furthermore, SOA has reached a more stable performance by finding better average and maximum TFC over fifty runs. The evaluation of these criteria indicates that SOA completely outperforms PSO. Besides, the optimal solution reached by SOA satisfies all considered constraints with zero violation of the dependent variables. Therefore, SOA is highly suggested to handle the OPF problem.

Fingerprinting techniques, which utilize the unique chemical and physical properties of food samples, have emerged as a promising approach for food authentication and traceability. Recent studies have demonstrated significant advancements in food authentication through the use of fingerprinting methods, such as multivariate statistical analysis techniques applied to trace elements and isotope ratios. However, further research is required to optimize these methods and ensure their validity and reliability in real-world applications. In this study, the inductively coupled plasma mass spectrometry (ICP-MS) analytical method was employed to determine the content of 21 elements in 300 cashew nut (Anacardium occidentale L.) samples from 5 brands. Multivariate statistical methods, such as principal components analysis (PCA), were employed to analyze the data obtained and establish the provenance of the cashew nuts. While cashew nuts are widely marketed in many countries, no universal method has been utilized to differentiate the origin of these nuts. Our study represents the initial step in identifying the geographical origin of commercial cashew nuts marketed in Vietnam. The analysis showed significant differences in the means of 21 of the 40 analyzed elements among the cashew nut samples from the 5 brands, including 7Li, 11B, 24Mg, 27Al, 44Ca, 48Ti, 51V, 52Cr, 55Mn, 57Fe, 60Ni, 63Cu, 66Zn, 93Nb, 98Mo, 111Cd, 115In, 121Sb, 138Ba, 208Pb, and 209Bi. The PCA analysis indicated that the cashew nut samples can be accurately classified according to their original locations. This research serves as a prerequisite for future studies involving the combination of elemental composition analysis with statistical classification methods for the accurate establishment of cashew nut provenance, which involves the identification of key markers for the original discrimination of cashew nuts.

This study was conducted to establish an efficient in vitro plantlet regeneration protocol using the ex vitro leaves as explants for Haworthia retusa. Leaf tissues were cultured on liquid full-strength Murashige and Skoog (MS) medium supplemented with 2.0 mg/L indole 3-butyric acids (IBA) for callus induction, followed by sub-cultured to solid medium for callus proliferation. Callus was then transferred to a fresh medium supplemented with 6-benzyl amino adenine (BA) for shoot development. The result showed that the maximum rate of shoot regeneration (100%), number of shoots per explant (43), and shoot height (9.4 mm) were recorded on the solid MS medium supplemented with 1.0 mg/L BA and 30 g/L sucrose. IBA improved rooting, whereas, NAA (naphthaleneacetic acid) causes calli to form at the base of the shoots. The half-strength MS medium supplemented with 0.5 mg/L IBA provided the best rooting response for the shoot. This medium formulation resulted in the highest rooting rate (100%) and the highest mean root number (5 roots/explant). The result of the present study would be helpful for the mass propagation of commercially important H. retusa.

Light-emitting diodes are increasingly used as artificial light sources in Haematococcus pluvialis cultivation due to the fact of their energy advantages. The immobilized cultivation of H. pluvialis in pilot-scale angled twin-layer porous substrate photobioreactors (TL-PSBRs) was initially performed with a 14/10 h light/dark cycle and showed relatively low biomass growth and astaxanthin accumulation. In this study, the illumination time with red and blue LEDs at a light intensity of 120 µmol photons m-2 s-1 was increased to 16-24 h per day. With a light/dark cycle of 22/2 h, the biomass productivity of the algae was 7.5 g m-2 day-1, 2.4 times higher than in the 14/10 h cycle. The percentage of astaxanthin in the dry biomass was 2%, and the total amount of astaxanthin was 1.7 g m-2. Along with the increase in light duration, adding 10 or 20 mM NaHCO3 to the BG11-H culture medium over ten days of cultivation in angled TL-PSBRs did not increase the total amount of astaxanthin compared with only CO2 addition at a flow rate of 3.6 mg min-1 to the culture medium. Adding NaHCO3 with a 30-80 mM concentration inhibited algal growth and astaxanthin accumulation. However, adding 10-40 mM NaHCO3 caused algal cells to accumulate astaxanthin at a high percentage in dry weight after the first four days in TL-PSBRs.

Abstract An increasing interest in nanocomposites prepared from agricultural/industrial byproducts has been paid for environmental remediation, especially in water treatment. This study reports the facile preparation of a low-cost magnetic biocomposite of magnetic Fe3O4 nanoparticles (NPs) incorporated with biopolymers extracted from durian husk, called bp-Fe3O4 and examined in the removal of methylene blue (MB) dye. Here, Fe2O3 NPs were first recovered from red mud waste and then converted to magnetic nanostructured Fe3O4 using a one-pot process via carbon combustion. The bp-Fe3O4 inherited the characteristics of each constituent component, while showing slightly higher saturation magnetization than the bare Fe3O4 NPs (19.84 and 18.66 emu/g, respectively), allowing for easy separation from the aqueous solution using a suitable magnet. The MB adsorption on bp-Fe3O4 reached an equilibrium state within 60 min reaction and achieved >90% of removal (at 50 mg/L MB) at an optimal pH range of 6–8. The effective adsorption of MB dye was attributed to both the hydroxylated-Fe3O4 NPs and biopolymers. The material showed excellent reusability tested up to the seventh MB adsorption cycle (decreased by <2% of adsorption efficiency). Overall, the outstanding magnetic properties and low-cost bp-Fe3O4 rendered them easily manipulated and separated, and reusable for water/wastewater treatment of MB dye.