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•Blueberry waste as potential resource for value addition end product recovery are discussed.•Sustainable resource recovery and ecofriendly approach are reviewed.•Recent trends and ...possibilities on blueberry biorefinery are mentioned.•Challenges in blueberry waste resource recovery and applications are appraised.•Circular bioeconomy aspects and regulatory issues of blueberry waste are discussed.
Waste valorization using biological methods for value addition as well as environmental management is becoming popular approach for sustainable development. The present review addresses the availability of blueberry crop residues (BCR), applications of this feedstock in bioprocess for obtaining range of value-added products, to offer economic viability, business development and market potential, challenges and future perspectives. To the best of our knowledge, this is the first article addressing the blueberry waste valorization for a sustainable circular bioeconomy. Furthermore, it covers the information on the alternative BCR valorization methods and production of biochar for environmental management through removal or mitigation of organic and inorganic pollutants from contaminated sites. The review also discusses the ample opportunities of strategic utilization of BCR to offer solutions for environmental sustenance, covers the emerging trends to produce multi-products and techno-economic prospective for sustainable agronomy.
The increasing number of food waste (FW) had led to an urgent methods to recycle, black soldier fly larvae (BSFL) was a potential quick waste manager. To assess the impact of BSFL on conversion FW ...and sawdust into compost via the parameters of maturity, nutrient transformation and volatile fatty acids (VFAs). Meanwhile, the artificial of FW contained noodles, cabbages, rice and pork. FW and sawdust were employed by BSFL (6.5:0.5:1.2 ratio on fresh weight basis) as T1 and without BSFL called control (T2), while moisture content for FW and sawdust was 86.57% and 5.98%. Results illustrated that BSFL declined the composting time and only 9 d. Compared with initial mixture materials, T1 decreased organic matter, total kjeldahl nitrogen and VFAs from 97.41 to 85.96%, 23.01 to 17.77 g kg−1 and 3.25 to 1.69 g kg−1, respectively. However, T1 increased the total phosphorous and total potassium in 3.8 folds and 5 folds. The value of pH and EC reached at 4.27 and 1100 μS cm−1, and the germination index attained to 70.69%. In addition, redundancy analysis was used to analysis the correlation between factors under composting employed with different additive ratio of BSFL. Therefore, BSFL played a vital role in FW and sawdust recycling, especially reduced composting time and made the final separation of larvae and substrate easily, saving labor costs.
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•Black Soldier fly larvae (BSFL) took 9 d to biotransform food waste and sawdust.•BSFL treatment caused highest organic matter and volatile fatty acids degradation.•Addition BSFL increased total phosphorus and potassium in compost by 3.8 and 5 folds.•Employing of BSFL increased the germination index and reached 70.96%.
In this study, we investigated the influence of coconut shell biochar (CSB) on heavy metal resistance fungi (HMRF) during poultry manure (PM) composting by 18 S rDNA Internal Transcribed Spacer ...Amplicon Sequencing analysis. Five different concentrations of CSB (2.5%, 5%, 7.5%, and 10% dry weights basis) were applied with a mixture of PM and wheat straw (5:1 ratio dry weight basis) and without CSB (CK) was used as control. The results showed that sequence number rose along with increasing CSB concentration but total relative abundance (RA) of HMRF decreased 56.33%, 74.65% in T4 and T5, respectively. However, greater RA of HMRF was found in T1 or without biochar applied treatment. The phylum of Basidiomycota was the dominant fungal community accounting for 61.14%, 6.16%, 32.18%, 74.65%, and 73.73% from T1 to T5 of the total fungi abundance, with wide presence of the Wallemiomycetes and Eurotiomycetes classes. The Wallemia and Aspergillus were the richest genus and species. Wallemia_sebi, Altemaria_alternata and Aspergillus_amoenus were detected having greater abundance among all treatments. Besides this, the network correlation pattern confirmed that the relative greater percentage of correlation among dominant HMRF community with bio-available HM and other physicochemical factors increased with the addition of biochar. There was reasonable infer that the biochar amendment in composting could constitute favorable habitat for an active fungal population.
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•Biochar has positive effect to reduce heavy metal resistant fungal diversity by 56.33%–74.65%.•The superior fungi were Basidiomycota with relative abundance of 6.16–73.73%.•The 7.5% biochar can be efficiently altered the heavy metals resistant fungal diversity.•Coconut shell biochar remarkably effective to improve the poultry manure composting.•Biochar amendment in composting provided favorable habitat for an active fungal population.
The industry is heading towards digitalization with production and quality assurance of processes and products. Novel practices such as machine learning or artificial intelligence make it possible ...for highly complex and nonlinear occurrences to be modeled and predicted with immense accuracy when real experiences are used to train the algorithm. For example, supervised learning in a closed‐loop system allows the user to analyze and predict outcomes and gives it the ability to adapt and add intelligence to the current system. This study focuses on the development of a neural network (NN) for surface defect prediction in injection molding of model polypropylene. Feature optimization allows us to conclude that rheological parameters such as the melt flow index and relaxation time (λ) can improve predictive accuracy. Furthermore, Bayesian optimization is implemented to optimize the NN structure. The optimization approach allowed for a cross‐validation (CV) accuracy of 90.2% ± 4.4% with only five input parameters, while the seven‐input parameter optimized structure arrived at a CV accuracy of 92.4% ± 11.4%. Although the full‐feature structure optimized with Bayesian optimization concluded with slightly higher accuracy, the error range dramatically increased, meaning that this structure tends to overfit.
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•The relative abundance of fungal community and organic loading rates was studied.•Ascomycota, Basidiomycota, and Chytridiomycota were richer in higher ORLs.•A higher organic loading ...rate was beneficial to fungal community succession.•Higher organic loading rate has significant correlation among the analyzed parameters.
In this study, the influence of distinct hydraulic retention times (HRT) and organic loading rates (OLRs) on fungal dynamics during food waste anaerobic digestion in immersed membrane-based bio-reactors (iMBR) were investigated. The organic loading rate 4–8 g VS/L/d (R1) and 6–10 g VS/L/d (R2) were set in two iMBR. T1 (1d), T2 (15d) and T3 (34d) samples collected from each bioreactor were analyzed fungal community by using 18s rDNA. In R2, T2 had the most abundant Ascomycota, Basidiomycota, Chytridiomycota and Mucoromycota. As for R1, T3 also had the richest Cryptomycota except above four kinds of fungi. Subsequently, the Principal Component Analysis (PCA) and Non-Metric Multi-Dimensional Scaling (NMDS) indicated that fungal diversity was varied among the all three phases (T1, T2, and T3) and each treatment (R1 and R2). Finally, the results showed that different OLRs and HRT have significantly influenced the fungal community.
Abstract Background An increasing number of studies have demonstrated the association of circular RNAs (circRNAs) with the pathological processes of various diseases and their involvement in the ...onset and progression of multiple cancers. Nevertheless, the functional roles and underlying mechanisms of circRNAs in the autophagy regulation of gastric cancer (GC) have not been fully elucidated. Methods We used transmission electron microscopy and the mRFP-GFP-LC3 dual fluorescent autophagy indicator to investigate autophagy regulation. The cell counting kit-8 assay, colony formation assay, 5-ethynyl-2′-deoxyuridine incorporation assay, Transwell assay, and Western blot assay were conducted to confirm circPTPN22’s influence on GC progression. Dual luciferase reporter assays validated the binding between circPTPN22 and miR-6788-5p, as well as miR-6788-5p and p21-activated kinase-1 ( PAK1 ). Functional rescue experiments assessed whether circPTPN22 modulates PAK1 expression by competitively binding miR-6788-5p, affecting autophagy and other biological processes in GC cells. We investigated the impact of circPTPN22 on in vivo GC tumors using a nude mouse xenograft model. Bioinformatics tools predicted upstream regulatory transcription factors and binding proteins of circPTPN22, while chromatin immunoprecipitation and ribonucleoprotein immunoprecipitation assays confirmed the binding status. Results Upregulation of circPTPN22 in GC has been shown to inhibit autophagy and promote cell proliferation, migration, and invasion. Mechanistically, circPTPN22 directly binds to miR-6788-5p, subsequently regulating the expression of PAK1 , which activates protein kinase B (Akt) and extracellular signal-regulated kinase (Erk) phosphorylation. This modulation ultimately affects autophagy levels in GC cells. Additionally, runt-related transcription factor 1 (RUNX1) negatively regulates circPTPN22 expression, while RNA-binding proteins such as FUS (fused in sarcoma) and ELAVL1 (recombinant ELAV-like protein 1) positively regulate its expression. Inhibition of the autophagy pathway can increase FUS expression, further upregulating circPTPN22 in GC cells, thereby exacerbating the progression of GC. Conclusion Under the regulation of the transcription factor RUNX1 and RNA-binding proteins FUS and ELAVL1, circPTPN22 activates the phosphorylation of Akt and Erk through the miR-6788-5p/ PAK1 axis, thereby modulating autophagy in GC cells. Inhibition of autophagy increases FUS, which in turn upregulates circPTPN22, forming a positive feedback loop that ultimately accelerates the progression of GC.
Surfactants and other amphiphilic molecules are used extensively in household products, industrial processes, and biological applications and are also common environmental contaminants; as such, ...methods that can detect, sense, or quantify them are of great practical relevance. Aqueous emulsions of thermotropic liquid crystals (LCs) can exhibit distinctive optical responses in the presence of surfactants and have thus emerged as sensitive, rapid, and inexpensive sensors or reporters of environmental amphiphiles. However, many existing LC-in-water emulsions require the use of complicated or expensive instrumentation for quantitative characterization owing to variations in optical responses among individual LC droplets. In many cases, the responses of LC droplets are also analyzed by human inspection, which can miss subtle color or topological changes encoded in LC birefringence patterns. Here, we report an LC-based surfactant sensing platform that takes a step toward addressing several of these issues and can reliably predict concentrations and types of surfactants in aqueous solutions. Our approach uses surface-immobilized, microcontact-printed arrays of micrometer-scale droplets of thermotropic LCs and hierarchical convolutional neural networks (CNNs) to automatically extract and decode rich information about topological defects and color patterns available in optical micrographs of LC droplets to classify and quantify adsorbed surfactants. In addition, we report computational capabilities to determine relevant optical features extracted by the CNN from LC micrographs, which can provide insights into surfactant adsorption phenomena at LC–water interfaces. Overall, the combination of microcontact-printed LC arrays and machine learning provides a convenient and robust platform that could prove useful for developing high-throughput sensors for on-site testing of environmentally or biologically relevant amphiphiles.
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