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The (partial) replacement of synthetic polymers with bioplastics is due to increased production of conventional packaging plastics causing for severe environmental pollution with plastics waste. The bioplastics, however, represent complex mixtures of known and unknown (bio)polymers, fillers, plasticizers, stabilizers, flame retardant, pigments, antioxidants, hydrophobic polymers such as poly(lactic acid), polyethylene, polyesters, glycol, or poly(butylene succinate), and little is known of their chemical safety for both the environment and the human health. Polymerization reactions of bioplastics can produce no intentionally added chemicals to the bulk material, which could be toxic, as well. When polymers are used to food packing, then the latter chemicals could also migrate from the polymer to food. This fact compromises the safety for consumers, as well. The scarce data on chemical safety of bioplastics makes a gap in knowledge of their toxicity to humans and environment. Thus, development of exact analytical protocols for determining chemicals of bioplastics in environmental and food samples as well as packing polymers can only provide warrant for reliable conclusive evidence of their safety for both the human health and the environment. The task is compulsory according to legislation Directives valid to environmental protection, food control, and assessment of the risk to human health. The quantitative and structural determination of analytes is primary research task of analysis of polymers. The methods of mass spectrometry are fruitfully used for these purposes. Methodological development of exact analytical mass spectrometric tools for reliable structural analysis of bioplastics only guarantees their safety, efficacy, and quality to both humans and environment. This study, first, highlights innovative stochastic dynamics equations processing exactly mass spectrometric measurands and, thus, producing exact analyte quantification and 3D molecular and electronic structural analyses. There are determined synthetic polymers such as poly(ethylenglycol), poly(propylene glycol), and polyisoprene as well as biopolymers in bags for foodstuffs made from renewable cellulose and starch, and containing, in total within the 20,416–17,495 chemicals per sample of the composite biopolymers. Advantages of complementary employment in mass spectrometric methods and Fourier transform infrared spectroscopy is highlighted. The study utilizes ultra-high resolution electrospray ionization mass spectrometric and Fourier transform infrared spectroscopic data on biodegradable plastics bags for foodstuffs; high accuracy quantum chemical static methods, molecular dynamics; and chemometrics. There is achieved method performance |r| = 0.99981 determining poly(propylene glycol) in bag for foodstuff containing 20,416 species and using stochastic dynamics mass spectrometric formulas. The results highlight their great capability and applicability to the analytical science as well as relevance to both the fundamental research and to the industry.
Assessment of sustainable development models for rural watershed areas with a focus on environmental components
Vol 5, Issue 2, 2024
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Abstract
From the point of view of the systemic approach in sustainable rural development programs, all components should be considered concerning each other, but one of the most important components is the environmental index in development programs. Considering that the lack of attention to the environmental components in the development plans of many projects has failed and many challenges have been created in the environmental components. The current research aims to evaluate the role of environmental components in the sustainable development of rural areas. For this purpose, a questionnaire was compiled and using Cochran’s formula, a sample size of 100 copies of the questionnaire was completed from household heads, and in addition, 20 copies of the questionnaire were completed to survey the relevant officials. SPSS software was used to classify and analyze data and information, and the AHP model was used to examine the relationship between variables and prioritize them. The studied area was located in the north of Tehran-Mashhad asphalt road and about 50 km east of Garmsar city. The results of the study indicate that there is a significant relationship between the environmental components and the sustainable development of the rural areas of the studied area, which requires the special attention of the officials in this sector. It has the most importance in this region. At the end, suggestions for better planning and sustainable development are given.
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Copyright (c) 2024 Reihaneh Naseri, Faraz Estelaji, Alireza Naseri, Razie Hasanpour, Rahim Zahedi
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Beijing University of Technology, China
