Synthesis, characterization and application of Co/Co3O4 nanocomposites as an effective photocatalyst for discoloration of organic dye contaminants in wastewater and antibacterial properties

Novel graphene electrochemical transistors incorporating zirconia inorganic molecular imprinted layer：Design, construction and application for highly sensitive and selective detection of acetaminophen

Owing to their intrinsic amplifying effect together with chemical stability, graphene electrochemical transistor sensors (GECTs) are gaining momentum for sensing applications. However, the surface of GECTs for different detection substances must be modified with different recognition molecules, which was cumbersome and lack a universal method. Molecularly imprinted polymer (MIP) is a kind of polymer with specific recognition function for given molecules. Here, MIP and GECTs were combined to effectively solve the problem of weak selectivity of GECTs, and achieve the high sensitivity and selectivity of MIP-GECTs equipment in detecting acetaminophen (AP) in complex urine environment. A novel molecular imprinting sensor based on Au nanoparticles modified zirconia (ZrO₂) inorganic molecular imprinting membrane on reduced graphene oxide (ZrO₂-MIP-Au/rGO) was proposed. ZrO₂-MIP-Au/rGO was synthesized by one-step electropolymerization using AP as template, ZrO₂ precursor as the functional monomer. The -OH group on ZrO₂ and the -OH/-CONH- group on AP were easily bonded by hydrogen bonding to form a MIP layer on the surface, which allows the sensor to have a large number of imprinted cavities for AP specific adsorption. As a proof of method, the GECTs based on ZrO₂-MIP-Au/rGO functional gate electrode has the characteristics of wide linear range (0.1 nM-4 mM), low detection limit (0.1 nM) and high selectivity for AP detection. These achievements highlight the introduction of specific and selective MIP to GECTs with unique amplification function, which could effectively solve the problem of selectivity of GECTs in complex environments, suggesting the potential of MIP-GECTs in real-time diagnosis.

Hydrothermal synthesis of spindle structure copper ferrite-graphene oxide nanocomposites for enhanced photocatalytic dye degradation and in-vitro antibacterial activity

In this study, a one-step hydrothermal approach was used to make pure magnetic copper ferrite (CuFe2O4) and copper ferrite-graphene oxide (CuFe2O4-rGO) nanocomposites (NCs) and spinel structure CuFe2O4 with a single phase of tetragonal CuFe2O4-rGO-NCs was confirmed by the XRD. Then, characterization of CuFe2O4-rGO-NCs was done using ng Raman spectroscopy, FT-IR, TGA-DTA, EDS, SEM, and TEM. The synthesized NCs was exposed to UV light to evaluate its photocatalytic activity for the degradation of methylene blue (MB) and rhodamine B (RhB) with CuFe2O4 and CuFe2O4-rGO-NCs, respectively. The catalyst CuFe2O4-rGO-NCs provided higher degradation of MB (94%) than for RhB (86%) under UV light irradiation compared to CuFe2O4. Further, the antibacterial activities of CuFe2O4-NPs and CuFe2O4-rGO-NCs were tested against Gram-negative and -positive bacterial pathogens such as Vibrio cholera (V. cholera); Escherichia coli (E. coli); Pseudomonas aeruginosa (P. aeruginosa); Bacillus subtilis (B. subtilis); Staphylococcus aureus (S. aureus); and Staphylococcus epidermidis (S. epidermidis) by well diffusion method. At 100 μg/mL concentrations of CuFe2O4-rGO-NCs, maximal growth inhibition was shown against E. coli (18 mm) and minimum growth inhibition against S. epidermidis (12 mm). This study suggests that CuFe2O4-rGO-NCs as a high-efficacy antibacterial material and plays an important role in exhibiting higher sensitivity depending on concentrations. The results encourage that the synthesized CuFe2O4-rGO-NCs can be used as a promising material for the antibacterial activity and also for dye degradation in the water/wastewater treatment plants.

Triamcinolone Acetonide Produced by Bacillus velezensis YEBBR6 Exerts Antagonistic Activity Against Fusarium oxysporum f. sp. Cubense: A Computational Analysis

Fusarium oxysporum f. sp. cubense is one of the most severe and threatening pathogens of bananas, causing "Panama wilt" worldwide. Confrontation assay of Foc antagonistic bacterial endophyte, Bacillus velezensis YEBBR6, with the Foc and GC-MS profiling of excised agar from the zone of inhibition, led to the unveiling of secondary metabolites produced by the endophyte. To refine the probable antifungal compounds among the numerous biomolecules formed during their di-trophic interaction with the pathogen, fungal protein targets were modeled, and docking studies (AutoDock Vina module of the PyRx 0.8 server) were done with all the compounds. Triamcinolone acetonide exhibited the most excellent affinity for the protein targets among the compounds studied. It had a maximum binding affinity of 11.2 kcal/mol for XRN2 (5' → 3'). Further, the protein-ligand complex formation kinetics was done through Molecular Dynamic Simulation studies. Graphs for the RMSD, RMSF, Rg, potential energy, and SASA were generated, and the values during the simulation period suggested the stability of the biomolecule as a complex with the protein. This indicated Triamcinolone acetonide's potential ability to act as a functional disrupter of the target protein and likely an antifungal molecule. Further, the biomolecule was tested for its activity against Foc by screening in the wet lab through the poisoned plate technique, and it was found to be fully inhibitory to the growth of the pathogen at 1000 ppm.

P53-response circRNA_0006420 aggravates lung cancer radiotherapy resistance by promoting formation of HUR/PTBP1 complex

BACKGROUND

p53 wild-type lung cancer cells can develop radiation resistance. Circular RNA (circRNA) consists of a family of transcripts with exclusive structures. circRNA is critical in tumorigenesis and is a potential biomarker or therapeutic target. It is uncertain how circRNA expression and functions are regulated post-radiation in p53 wild-type cancer cells.

METHODS

A549 or H1299 cells were divided into p53-wt and p53-KO groups by CRISPR/Cas9; both groups were subjected to 4Gy ionizing radiation (IR: p53-wt-IR and p53-KO-IR). RNA-seq, CCK8, cell cycle, and other functional and mechanism experiments were performed in vivo. p53 gene knockout mice were generated to test the cell results in vitro.

RESULTS

circRNAs were found in differential groups. circRNA_0006420 (IRSense) was upregulated in p53-wt cells but had the same expression level as p53-KO cells after radiation, indicating that p53 silencing prevents its upregulation after IR. In the presence of p53, upregulated IRSense post-radiation induces G2/M arrest by regulating DNA damage repair (DDR) pathway-related proteins. Meanwhile, upregulated IRSense post-radiation aggravates the radiation-induced epithelial-mesenchymal transition (EMT). Interestingly, in the presence of p53, it promotes IRSense/HUR/PTBP1 complex formation resulting in the promotion of the radiation-induced EMT. Moreover, c-Jun regulates the upregulation of p53 transcription after radiation treatment. For these lung cancer cells with p53, upregulated IRSense aggravates lung cancer cell proliferation and increases radiation resistance by interacting with HUR (ElAV-like protein 1) and PTBP1 (polypyrimidine tract-binding protein 1) in the nucleus.

CONCLUSIONS

Lung cancer cells retaining p53 may upregulate circRNA_0006420 (IRSense) expression post radiation to form an IRSense/HUR/PTBP1 complex leading to radiotherapy resistance. This study furthers our understanding of the roles of circRNA in regulating the effect of radiotherapy and provides novel therapeutic avenues for effective clinical lung cancer therapies.

Diagnosis of Ruminant Viral Diseases with Loop-Mediated Isothermal Amplification

Infectious diseases in livestock industry are major problems for animal health, food safety, and the economy. Zoonotic diseases from farm animals are significant threat to human population as well. These are notifiable diseases listed by the World Organization for Animal Health (OIE). Rapid diagnostic methods can help keep infectious diseases under control in herds. Loop-mediated isothermal amplification (LAMP) is a simple and rapid nucleic acid amplification method that is studied widely for detection of many infectious diseases in the field. LAMP allows biosensing of target DNA or RNA under isothermal conditions with high specificity in a short period of time. An untrained user can analyze results based on color change or turbidity. Here we review LAMP assays to diagnose OIE notifiable ruminant viral diseases in literature highlighting properties of LAMP method considering what is expected from an efficient, field usable diagnostic test.

The effects and drivers of green financial reform in promoting environmentally-biased technological progress

Promoting green financial reform is an important measure to support environmentally-biased technological progress (EBTP) and achieve sustainable economic and social development. Although China launched a green finance reform and innovation pilot zone (GFRIPZ) policy in 2017, little is known about whether and how such a policy affects EBTP. Based on mathematical deduction, this paper studies the mechanism through which green financial reform influences EBTP. The analysis employs panel data of Chinese prefecture-level cities and a generalized synthetic control method to examine the policy effect of the establishment of GFRIPZ in EBTP. It is found that establishing GFRIPZ significantly promotes EBTP, and that the policy effect shows "ahead-of-policy" and dynamically increasing features. Potential mechanisms reside in the pilot policy's easing of financing constraints and upgrading of industrial structure. Further heterogeneity analyses reveal that great disparities exist in the policy effects of different pilot zones, with a steadily increasing policy effect in Zhejiang and Guangdong, a lagging policy effect in Jiangxi and Guizhou, and an inverse U-shaped policy effect in Xinjiang. Policy effects are much stronger in regions with a higher degree of marketization and a higher level of attention to education. Additional tests of economic performance indicate that the pilot policy, interweaved with its driving effect on EBTP, is conducive to promoting an energy-conservation and low-carbon-energy transition. The findings shed light on applying green financial reform to encourage environment-friendly technological research and development.

Spectroelectrochemical sensing of reaction intermediates and products in an affordable fully 3D printed device

Recent advances in fused deposition modelling 3D printing (FDM 3DP) and synthesis of printable electrically conductive materials enabled the manufacture of customized electrodes and electrochemical devices by this technique. The past couple of years have seen a boom in applying approaches of FDM 3DP in the realm of spectroelectrochemistry (SEC). Despite significant progress, reported designs of SEC devices still rely on conventionally manufactured optical components such as quartz windows and cuvettes. To bridge this technological gap, in this work we apply bi-material FDM 3DP combining electrically conductive and optically translucent filaments to manufacture working electrodes and cells, constituting a fully integrated microfluidic platform for transmission absorption UV-Vis SEC measurements. The cell design enables de-aeration of samples and their convenient handling and analysis. Employing cyclic voltammetric measurements with ruthenium(III) acetylacetonate, ethylviologen dibromide and ferrocenemethanol redox-active probes as model analytes, we demonstrate that the presented platform allows SEC sensing of reactants, intermediates and products of charge transfer reactions, including the inspection of their long-term stability. Approaches developed and presented in this work pave the way for manufacturing customized SEC devices with dramatically reduced costs compared to currently available commercial platforms.

A systematic review of natural products for skin applications: Targeting inflammation, wound healing, and photo-aging

BACKGROUND

Every day the skin is constantly exposed to several harmful factors that induce oxidative stress. When the cells are incapable to maintain the balance between antioxidant defenses and reactive oxygen species, the skin no longer can keep its integrity and homeostasis. Chronic inflammation, premature skin aging, tissue damage, and immunosuppression are possible consequences induced by sustained exposure to environmental and endogenous reactive oxygen species. Skin immune and non-immune cells together with the microbiome are essential to efficiently trigger skin immune responses to stress. For this reason, an ever-increasing demand for novel molecules capable of modulating immune functions in the skin has risen the level of their development, particularly in the field of natural product-derived molecules.

PURPOSE

In this review, we explore different classes of molecules that showed evidence in modulate skin immune responses, as well as their target receptors and signaling pathways. Moreover, we describe the role of polyphenols, polysaccharides, fatty acids, peptides, and probiotics as possible treatments for skin conditions, including wound healing, infection, inflammation, allergies, and premature skin aging.

METHODS

Literature was searched, analyzed, and collected using databases, including PubMed, Science Direct, and Google Scholar. The search terms used included "Skin", "wound healing", "natural products", "skin microbiome", "immunomodulation", "anti-inflammatory", "antioxidant", "infection", "UV radiation", "polyphenols", "polysaccharides", "fatty acids", "plant oils", "peptides", "antimicrobial peptides", "probiotics", "atopic dermatitis", "psoriasis", "auto-immunity", "dry skin", "aging", etc., and several combinations of these keywords.

RESULTS

Natural products offer different solutions as possible treatments for several skin conditions. Significant antioxidant and anti-inflammatory activities were reported, followed by the ability to modulate immune functions in the skin. Several membrane-bound immune receptors in the skin recognize diverse types of natural-derived molecules, promoting different immune responses that can improve skin conditions.

CONCLUSION

Despite the increasing progress in drug discovery, several limiting factors need future clarification. Understanding the safety, biological activities, and precise mechanisms of action is a priority as well as the characterization of the active compounds responsible for that. This review provides directions for future studies in the development of new molecules with important pharmaceutical and cosmeceutical value.

Construction of rose flower-like NiCo-LDH electrode derived from bimetallic MOF for highly sensitive electrochemical sensing of hydrazine in food samples

It is necessary to efficient detection hydrazine in food. Exploring highly sensitive, low-cost and fast response electrochemical hydrazine sensing methods has been a challenge in this field. In this paper, a conformal transformation method is used to prepare rose flower-like NiCo-LDH derivating from the bimetallic NiCo-MOFs, and the N₂H₄ sensing platform with a large electrocatalytic area, high conductivity and good stability was constructed. Based on the synergy between Ni and Co and the remarkable catalytic activity of the rough 3D flower-like structure, the N₂H₄ sensor has a linear response in the concentration range of 0.001-1 mmol/L and 1-7 mmol/L, with a sensitivity of 5342 μA L mmol^-1 cm^-2 and 2965 μA L mmol^-1 cm^-2 (S/N = 3), respectively, and low limit of detection of 0.043 μmol/L. This study opens a new door for the successful application of electrochemical sensors to detect N₂H₄ in real food samples.

Antiplasmodial activity of the bulbs of Fritillaria cirrhosa D.Don (Syn: Fritillaria roylei Hook.): UPLC-IM-Q-TOF-MS/MS-based biochemometric approach for the identification of marker compounds

ETHNOPHARMACOLOGICAL RELEVANCE

Fritillaria cirrhosa D.Don (Syn: Fritillaria roylei Hook.) (Hindi name: Kshirakakoli) is a critically endangered Himalayan medicinal plant, well documented in Ayurveda for its therapeutic uses against various disorders such as jvara (fever), kasa (respiratory tract disease) etc. Its bulbs are also used as Szechuan-Pei-Mu for their antipyretic properties in the traditional Chinese medicine. However, despite its ethnomedicinal usage, the therapeutic use of F. cirrhosa bulbs for jvara (fever) related conditions such as malaria has remained unexplored. Hence in the context of increasing global concerns about drug-resistant malaria, it is important to investigate the antiplasmodial activity of F. cirrhosa bulbs for novel antimalarial agents.

AIM OF THE STUDY

To investigate the antiplasmodial effects of the extracts/fractions of F. cirrhosa bulbs by the biochemometric approach and to rationalize its ethnopharmacological usage for jvara (fever) related conditions such as malaria.

MATERIAL AND METHODS

This study involves the UHPLC-MS-based plant material selection, preparation, quantification, and assessment of F. cirrhosa bulb extracts against CQ-sensitive Pf 3D7 & CQ-resistant Pf INDO strains. Further, UPLC-IM-Q-TOF-MS-based biochemometric approach has been applied for the identification of marker compounds responsible for the observed antiplasmodial effects. The identified marker compounds were also assessed for their in silico ADMET properties and binding efficacy with the drug transporter Pf CRT.

RESULTS

Different F. cirrhosa bulb extracts/fractions showed promising antiplasmodial activity with IC₅₀ values 2.71-19.77 μg/mL for CQ-resistant Pf INDO strain and 1.76-21.52 μg/mL for CQ-sensitive Pf 3D7 strain. UPLC-IM-Q-TOF-MS/MS-based biochemometric analysis revealed four marker compounds i.e., peimine (m/z 432.3448), peimisine (m/z 428.3504), puqiedinone (m/z 414.3379), and puqiedine (m/z 416.3509) responsible for the observed antiplasmodial activity. The identified marker compounds showed excellent binding efficacy with Pf CRT and suitable drug-like properties in silico.

CONCLUSIONS

The study demonstrated promising antiplasmodial activity of the chloroform and alkaloid enriched fractions of F. cirrhosa bulbs and further identified the four marker compounds responsible for the promising antiplasmodial activity. These marker compounds i.e., peimine, peimisine, puqiedinone and puqiedine were identified by the biochemometric analysis as the putative antiplasmodial constituents of the F. cirrhosa bulbs. Further, in silico studies indicated the good binding affinity of the marker compounds with Pf CRT along with suitable ADMET properties. Overall, the study elucidates the antiplasmodial activity of F. cirrhosa bulbs from the western Himalayan region and provides nascent scientific evidence for their ethnopharmacological usage in jvara (fever) related conditions such as malaria.

Waterlogging stress alters the structure of sugar beet rhizosphere microbial community structure and recruiting potentially beneficial bacterial

Waterlogging has been shown to have a significant inhibitory effect on plant growth. However, the response mechanisms of the soil environment of sugar beet seedlings under waterlogging conditions still need to be fully understood. This study aimed to investigate the effects of waterlogging treatments on the content of effective nutrients and the microbial communities in the rhizosphere and non-rhizosphere using high-throughput sequencing. We set up waterlogging and non-waterlogging treatments, sampled sugar beet seedlings after 10 days of waterlogging, determined the effective soil nutrients in the rhizosphere and non-rhizosphere of the plants, and analyzed the differences in microbial diversity at ten days of waterlogging. The results showed that waterlogging significantly affected available potassium (AK) content. The Ak content of waterlogged soil was significantly higher than that of non-waterlogged soil. Waterlogging caused no significant difference in available nitrogen (AN) content and pH. Moreover, the plant growth-promoting bacteria Pseudomonas was significantly enriched in sugar beet waterlogged rhizospheres compared with the non-waterlogged ones. Similarly, the harmful fungi Gibellulopsis and Alternaria were enriched in sugar beet non-waterlogged rhizosphere. The network analysis revealed that waterlogging built a less complex root-microbial network than non-waterlogging. These findings implied that sugar beets subjected to waterlogging stress were enriched with beneficial microorganisms in the rhizosphere, potentially alleviating the stress.

Changes in environmental performance with firm relocation and its influencing mechanism: An evidence of chemical industry in jiangsu, China

A micro firm relocation perspective plays important roles in deepening the understanding and knowledge on the environmental effects of industrial transfer and related mechanisms, however, such research and cases are currently scarce. Based on the building of both the database of firm relocation information and a conceptual framework of changes in environmental performance with firm relocation (ΔEP), involving factors of firm heterogeneity and changes in both locational conditions and whole-process pollution treatment paths, chemical firms in Jiangsu Province were selected to explore their ΔEP and related influencing mechanisms by the Wilcoxon signed-rank test of two paired samples and a binary logistic regression model in this study, respectively. Results showed that during 1998-2014, chemical firm relocation experienced a fluctuating growth trend with a continuous surge in inter-city relocation, accompanied by a deterioration in the environmental performance (EP) with a significant reduction of pollution removal intensity (p < 0.01) after firm relocation. Most firms relocated from Southern Jiangsu (72.5%) to places adjoining Jiangsu Province (58.5%), along the river and the coast (63.4%), and in the third- and fourth-tier cities (73.5%), respectively. As for these factors, the low development level of transfer-out (DTOR) and transfer-in region (DTIR) both resulted in the downgrading EP with firm relocation, but the inter-city relocation style (RS) and strict environmental regulation (ER) were the opposite. The benefits for upgrading EP after relocation conferred by the promotion of source-process treatment were limited by RS, DTOR, and DTIR. Among firms relocated to low DTIRs, the higher the firm competitiveness in terms of capital, technology, and environmental awareness, the greater the upgrading EP probability. When firms transferred to regions with stricter ER, the likelihood of improving EP increased more for those firms with weak competency. In a word, in order to prevent the pollution haven effect, superior governments should shrink regional differences in ER policies, whereas local governments in transfer-in regions should provide targeted and essential support in funding and technology according to the firm heterogeneity and fully consider actual conditions to make environmental measures in the future.

Evaluation of the synergistic effect of chitosan metal ions (Cu2+/Co2+) in combination with antibiotics to counteract the effects on antibiotic resistant bacteria

The effectiveness of antibiotics that save millions of lives is in danger due to the increasing rise of resistant bacteria around the world. We proposed chitosan-copper ions (CSNP-Cu²⁺) and chitosan-cobalt ion nanoparticles (CSNP-Co²⁺) as biodegradable nanoparticles loaded with metal ions synthesized via an ionic gelation method for treatment of antibiotic resistant bacteria. The nanoparticles were characterized using TEM, FT-IR, zeta potential and ICP-OES. The MIC was evaluated for the NPs in addition to evaluating the synergetic effect of the nanoparticles in combination with cefepime or penicillin for five different antibiotic resistant bacterial strains. In order to investigate the mode of action, MRSA, DSMZ 28766 and Escherichia coli E0157:H7 were selected for further evaluation of antibiotic resistant genes expression upon treatment with NPs. Finally, the cytotoxic activities were investigated using MCF7, HEPG2 and A549 and WI-38 cell lines. The results showed quasi spherical shape and mean particle size of 19.9 ± 5 nm, 21 ± 5 nm and 22.27 ± 5 for CSNP, CSNP-Cu²⁺ and CSNP-Co²⁺ respectively. FT-IR showed slight shifting of the hydroxyl and amine group's peaks of chitosan indicating the adsorption of metal ions. Both nanoparticles had antibacterial activity with MIC ranging between 125 and 62 μg ml^-1 for the used standard bacterial strains. Moreover, the combination of each of the synthesized NP with either cefepime or penicillin not only showed a synergetic effect as antibacterial activity of each NP or antibiotics alone, but also decreased the fold of antibiotic resistance genes expression. The NPs showed potent cytotoxic activities for MCF-7, HepG2 and A549 cancer cell lines with lower cytotoxic values for the WI-38 normal cell line. The NPs' antibacterial activity may be due to penetration and rupture of the cell membrane and the outer membrane of Gram negative and Gram positive bacteria causing bacterial cell death, in addition to, penetration into the bacterial genes and blocking gene expression that is vital to bacterial growth. The fabricated nanoparticles can be an effective, affordable and biodegradable solution to challenge antibiotic resistant bacteria.

Concentration-dependent mechanisms of fluoranthene uptake by ryegrass

Fluoranthene (Flu) uptake by plants is affected by plant growth and environmental concentration. Although plant growth processes, including substance synthesis and antioxidant enzyme activities, have been reported to regulate Flu uptake, their contributions have been poorly evaluated. Moreover, the effect of Flu concentration is little known. Here, low concentrations (0, 1, 5, and 10 mg/L) and high concentrations (20, 30, and 40 mg/L) of Flu were set to compare the changes in Flu uptake by ryegrass (Lolium multiflorum Lam.). Indices of plant growth (biomass, root length, root area, root tip number, and photosynthesis and transpiration rates), substance synthesis (indole acetic acid [IAA] content), and antioxidant enzyme activities (superoxide dismutase [SOD], peroxidase [POD], and catalase [CAT]) were recorded to unravel the mechanism of Flu uptake. Findings suggested that the Langmuir model fitted Flu uptake by ryegrass well. Flu absorption capacity in the root was stronger than that that in the leaf. Flu bioconcentration and translocation factors increased then reduced with the increase in Flu concentration and reached the maximum value under 5 mg/L Flu treatment. Plant growth and IAA content had the same pattern as before bioconcentration factor (BCF). SOD and POD activities increased then decreased with Flu concentration and reached their highest levels under 30 and 20 mg/L Flu treatments, respectively, whereas CAT activity decreased continuously and reached its lowest level under 40 mg/L Flu treatment. Variance partitioning analysis indicated that IAA content had the greatest significant effect on Flu uptake under low-concentration Flu treatments, whereas antioxidant enzyme activities had the greatest significant effect on Flu uptake under high-concentration Flu treatments. Revealing the concentration-dependent mechanisms of Flu uptake could provide a basis for regulating pollutant accumulation in plants.

Ecohydrological insight: Solar farms facilitate carbon sink enhancement in drylands

Solar farms are critical to tackling climate change and achieving carbon neutrality. Besides producing renewable energy, a solar farm modifies microclimates and changes water distribution, consequently affecting local carbon sequestration capacity (CSC). Yet, how the CSC of an ecosystem responds to these changes after solar farm construction remains inadequately understood. Herein, the SOFAR model was adopted to reveal the effects of large-scale solar farms (LSFs) on CSC in arid northern China, with a series of numeric experiments along a climate gradient (with precipitation ranging from 70 to 500 mm yr^-1). The results show that relative to pristine vegetation background, CSC was non-linearly increased by averages of 3.49-6.68%, 4.43-10.25%, 5.07-9.71% and 5.6% each year after the installation of LSFs in hyper-arid climates (with aridity index or AI = 0.04-0.05), arid climates (AI = 0.14-0.16), semi-arid climates (AI = 0.21-0.3) and semi-humid climates (AI = 0.55), respectively. The increase in available water for plants growing under the drip lines of photovoltaic panels (PVs) in LSFs is confirmed to be the overwhelming factor responsible for CSC enhancement. Although biases remain in the estimation of increased CSC in hyper- and semi-humid regions due to the high variability of climate (e.g., extreme drought events) and serious radiation reduction beneath PVs, it is certain that solar farms facilitate CSC without increasing external land use. These results will deepen our understanding of the feedback between solar farms and ambient environments and be meaningful for vegetation management in solar farms, especially in the context of climate change and carbon neutrality aims.

Bornyl acetate: A promising agent in phytomedicine for inflammation and immune modulation

BACKGROUND

Bornyl acetate (BA), as a bicyclic monoterpene, is an active volatile component widely found in plants across the globe. BA can be used as essence and food flavor agent and is widely used in perfumes and food additives. It remains a key component in several proprietary Chinese medicines.

PURPOSE

This review summarized the pharmacological activity and research prospects of BA, making it the first of its kind to do so. Our aim is to provide a valuable resource for those pursuing research on BA.

METHODS

Databases including PubMed, Web of Science, and CNKI were used based on search formula "(bornyl acetate) NOT (review)" from 1967 to 2022. For the relevant knowledge of TCM, we quoted Chinese literature. Articles related to agriculture, industry, and economics were excluded.

RESULTS

BA showed rich pharmacological activities: It inhibits the NF-κB signal pathway via affecting the phosphorylation of IKB and the production of IKKs, inhibits the MAPK signal pathway via inhibiting the phosphorylation of ERK, JNK, and p38, down-regulates pro-inflammatory cytokines such as TNF-α, IL-1β, IL-6, up-regulates IL-11, reduces NO production, regulates immune response via up-regulating CD86⁺, decreases catecholamine secretion, and reduces tau protein phosphorylation. In addition to the pharmacological activities of BA, its toxicity and pharmacokinetics were also discussed in this paper.

CONCLUSION

BA has promising pharmacological properties, especially anti-inflammatory and immunomodulatory effects. It also has sedative properties and potential for use in aromatherapy. Compared to traditional NSAIDs, it has a more favorable safety profile while maintaining efficacy. BA has potential for developing novel drugs for treating various conditions.

Lead toxicity and potential therapeutic effect of plant-derived polyphenols

BACKGROUND

Due to its unique physical and chemical properties, lead is still used worldwide in several applications, especially in industry. Both environmental and industrial lead exposures remain a public health problem in many developing and rapidly industrializing countries. Plant polyphenols are pleiotropic in their function and have historically made a major contribution to pharmacotherapy.

PURPOSE

To summarize available pre-clinical and limited clinical evidence on plant polyphenols as potential antidotes against lead poisoning and discuss toxic mechanisms of lead.

METHOD

A comprehensive search of peer-reviewed publications was performed from core collections of electronic databases such as PubMed, Web of Science, Google Scholar, and Science Direct. Articles written in English-language from inception until December 2022 were selected.

RESULTS

In this review, we review key toxic mechanisms of lead and its pathological effects on the neurological, reproductive, renal, cardiovascular, hematological, and hepatic systems. We focus on plant polyphenols against lead toxicity and involved mechanisms. Finally, we address scientific gaps and challenges associated with translating these promising preclinical discoveries into effective clinical therapies.

CONCLUSION

While preclinical evidence suggests that plant polyphenols exhibit bioprotective effects against lead toxicity, scant and equivocal clinical data highlight a need for clinical trials with those polyphenols.

Adsorption isotherm, kinetics and response surface methodology optimization of cadmium (Cd) removal from aqueous solution by chitosan biopolymers from cephalopod waste

The present investigation was aimed to explore the cadmium removal efficiency, mechanism and characterization of Chitosan biopolymers from cephalopods waste. The extracted chitosan has showed good yield of 32% and with high minerals, ash and moisture content. In the Fourier-transform infrared spectroscopy (FT-IR) analysis multiple active functional groups of Amine, Amine, Hydroxyl were found between 612 and 3424 cm^-1 and the sugar signals such as N-acetyl glucosamine (GlcNAc) and H-1 [GlcN (H-1D), GlcNAc (H-1A)] were identified in Chitosan by ¹H Nuclear Magnetic Resonance (NMR). The Crystalline, rough surface, micropores characters were observed in Chitosan surface by Scanning Electron Microscope (SEM) analysis and the pores played a key role in adsorption process. The Cd ions removal was performed by batch experiment and the results were revealed that the pH, temperature, time and dosage highly influenced the process and the optimum condition was discovered through RSM for pH 7, temperature 42.5 °C, time 220 min and dosage of sorbent 1 g/L respectively. The kinetics models of the Cd removal were carried out and the results revealed that the Pseudo-second order is more suitable and fit for removal than Pseudo-first order model. Chitosan surface characters and functional groups played a big role in adsorption process and Chitosan can be alternative eco-friendly, low cost and highly efficient sorbent for heavy metal removal in effluent treatment plants.

Traditional Chinese medicines (TCMs) with varied meridians (Gui-Jing) differentially alleviate the adverse impact of Coptis chinensis on gut microbiota

ETHNOPHARMACOLOGICAL RELEVANCE

The meridian (GuiJing) theory is a unique theory of traditional Chinese medicine (TCM) which has been guiding the clinical practice of TCM for thousands of years, but physiological foundation of TCM's meridian remains to be clarified. Recent investigations have marked gut microbiota as a key mediator for the pharmacological effects of various TCMs. However, most studies focus on the response of gut microbes to a single drug or formula, the interactive effects of different drugs on gut microbiota are scarcely investigated.

AIM OF THE STUDY

In this work, we evaluated the co-regulatory effects of different TCMs on gut microbiota when they were individually combined with Coptis chinensis (HL), and assessed the relationship between gut microbiota and the GuiJing of TCMs.

MATERIALS AND METHODS

Normal C57BL/6 mice were gavaged with HL extract for 14 days to disrupt the gut microbial community. Simultaneously, animals were treated with different TCMs which all possess antimicrobial activity but belong to different meridians. The gut microbiota was analyzed by full-length 16S rRNA gene amplicon sequencing to get a thorough bacterial profile at the species level.

RESULTS

Administration of HL dramatically disrupted the gut microbiota and decreased the alpha diversity. Co-administration of different TCMs alleviated the adverse impact of HL on gut microbiota in a meridian-dependent manner. TCMs belonging to Shaoyin meridian moderately shifted the gut microbiota, while TCMs belonging to Taiyin and especially Jueyin meridians remarkably recovered the gut microbial community to the normal status. Decreased Firmicutes (Clostridia and Bacilli) and Actinobacteria (Bifidobacteriales) and increased Proteobacteria (Enterobacteriaceae) were main features of HL-induced gut dysbiosis. TCMs belonging to Shaoyin, Taiyin and Jueyin meridians gradually reversed the abundance of these bacteria to their normal levels. Simultaneously, the promoting effect of HL on beneficial bacteria such as Akkermansia muciniphila and Blautia coccoides was substantially preserved when co-administration of these TCMs, suggesting that co-treatment with these TCMs may reduce the toxicity of HL without deteriorating its beneficial effects.

CONCLUSION

Combination of special TCMs may alleviate the adverse effect of HL on gut microbiota while preserving its beneficial actions. Gut microbiota may be a potential biological indicator of the meridian of TCMs.

Highly sensitive and label-free electrochemical detection of C-reactive protein on a peptide receptor-gold nanoparticle-black phosphorous nanocomposite modified electrode

C-reactive protein (CRP) is a phylogenetically highly conserved plasma protein found in blood serum, and an enhanced CRP level is indicative of inflammatory conditions such as infection and cancer, among others. In this work, we developed a novel high CRP-affinity peptide-functionalized label-free electrochemical biosensor for the highly sensitive and selective detection of CRP. Throughout biopanning with random peptide libraries, high affinity peptides for CRP was successfully identified, and then a series of synthetic peptide receptor, of which C-terminus was incorporated to gold binding peptide (GBP) as an anchoring motif was covalently immobilized onto gold nanoparticle (AuNPs) tethered polydopamine (PDA)‒black phosphorus (BP) (AuNPs@BP@PDA) nanocomposite electrode. Interaction between the CRP-binding peptide and CRP was confirmed via enzyme-linked immunosorbent assay along with various physicochemical and electrochemical analyses. Under the optimized experimental conditions, the proposed peptide-based biosensor detects CRP in the range of 0-0.036 μg/mL with a detection limit (LOD) of 0.7 ng/mL. The developed sensor effectively detects CRP in the real samples of serum and plasma of Crohn's disease patients. Thus, the fabricated peptide-based biosensor has potential applications in clinical diagnosis and medical applications.

Do corporate anti-bribery and corruption commitments enhance environmental management performance? The moderating role of corporate social responsibility accountability and executive compensation governance

This study aims to examine the potential impact (substantive or symbolic) of firms' anti-bribery and corruption commitments (ABCC) on environmental management performance (ENVS). We also seek to explore whether this link is contingent on corporate social responsibility (CSR) accountability and executive compensation governance. To achieve these aims, we use a sample of 2151 firm-year observations representing 214 FTSE 350 non-financial companies from 2002 to 2016. Our findings support a positive association between firms' ABCC and ENVS. In addition, our evidence shows that CSR accountability and executive compensation governance are significant substitutes for ABCC to engender enhanced ENVS. Our study highlights practical implications for organisations, regulators and policymakers, and suggests several avenues for future environmental management research. Overall, our findings are unsensitive to alternative measures of ENVS, different types of multivariate regression methods, namely ordinary least squares (OLS) and two-step generalized method of moments (GMM) regressions, and controlling for industry environmental risk and the implementation of the UK Bribery Act 2010.

Realizing the 2050 Paris climate agreement in West Africa: the role of financial inclusion and green investments

International organizations have emphasized the importance of global economies supporting efforts to combat climate change. The Paris Agreement or Agenda 2050 urges nations to ensure that the increase in global temperature is limited to 1.5 °C. Studies have analyzed the factors that contribute to harmful emissions, particularly carbon dioxide emissions, in order to limit temperature rise. However, since there are other equally harmful pollutants, this study evaluates the impact of financial inclusion and green investment on reducing greenhouse gas emissions. The study uses data from West Africa, where environmental pollution has significantly increased. The study employed regression analysis while controlling for economic growth, foreign direct investment (FDI), and energy consumption. The study's key findings reveal that financial inclusion and green investment have a monotonic effect on reducing greenhouse gas emissions. Additionally, the study confirms the environmental Kuznets curve hypothesis and the pollution haven effect for the region. Technological innovation reduces pollution, but green investment and financial inclusion reinforce this effect. Therefore, the study recommends that governments in the sub-region commit to supporting green investment and environmentally friendly technological innovations. It is also crucial to strictly enforce laws regulating the operations of multinational corporations in the region.

An electrochemiluminescence insulin sensing platform based on the molecular recognition properties of cucurbit[7]uril

The establishment of new mechanisms for target identification and signal amplification continues to drive innovation in electrochemiluminescence (ECL) sensing platforms. In this paper, a novel ECL insulin sensing platform was constructed by utilizing the molecular recognition properties of cucurbit[7]uril. Specifically, the macrocyclic host molecule cucurbit[7]uril was immobilized on the surface of the sensing platform as an identification probe, which could selectively capture insulin according to the inherent properties of the protein N-terminal. Introducing the rigid molecule cucurbit[7]uril into the sensing interface could reduce the influence of the environmental parameters on the sensing system, which provides a reliable guarantee for the accurate detection of insulin. Furthermore, gold nanoclusters were modified by utilizing the molecular recognition properties of cucurbit[7]uril, and used as anode signal probes for ECL sensing platform. The macrocyclic molecules cucurbit[7]uril passivated the surface of the nanoclusters, inhibited the non-radiative relaxation and improved the physical stability of the luminophore, leading to a significant increase in the sensitivity and stability of the ECL probe. The ECL sensing platforms exhibited a linear range from 50.00 fg/mL to 100.0 ng/mL, with a detection limit of 5.44 fg/mL. This study revealed the critical role of cucurbit[7]uril in target recognition and signal amplification, extending the scope of supramolecular applications in ECL.

eXtreme gradient boosting-based classification of bacterial mixtures in water and milk using wireless microscopic imaging of quorum sensing peptide-conjugated particles

Numerous bacteria can cause water- and foodborne diseases and are often found in bacterial mixtures, making their detection challenging. Specific bioreceptors or selective growth media are necessary for most bacterial detection methods. In this work, we collectively used five quorum sensing-based peptides identified from bacterial biofilms to identify 10 different bacterial species (Bacillus subtilis, Campylobacter jejuni, Enterococcus faecium, Escherichia coli, Legionella pneumophila, Listeria monocytogenes, Pseudomonas aeruginosa, Salmonella Typhimurium, Staphylococcus aureus, Vibrio parahaemolyticus) and their mixtures in water and milk. Four different machine learning classification methods were used: k-nearest neighbors (k-NN), decision tree (DT), support vector machine (SVM), and eXtreme Gradient Boosting (XGBoost). Peptides were crosslinked to submicron particles, and peptide-bacteria interactions on paper microfluidic chips caused the particle aggregation. A wireless, pocket fluorescence microscope (interfaced with a smartphone) counted such particle aggregations. XGBoost showed the best accuracy of 83.75% in identifying bacterial species from water samples using 320 different datasets and 91.67% from milk samples using 140 different datasets (5 peptide features per dataset). Each peptide's contribution to correct classification was evaluated. The results were concentration-dependent, allowing the identification of a dominant species from bacterial mixtures. Using XGBoost and the previous milk database, we tested 14 blind samples of various bacterial mixtures in milk samples, with an accuracy of 81.55% to predict the dominant species. The entire process could be completed within a half hour. The demonstrated system can provide a handheld, low-cost, easy-to-operate tool for potential hygiene spot-checks, public health, or personal healthcare.

Receptor-based detection of microplastics and nanoplastics: Current and future

Plastic pollution is an emerging environmental concern, gaining significant attention worldwide. They are classified into microplastics (MP; defined from 1 μm to 5 mm) and smaller nanoplastics (NP; <1 μm). NPs may pose higher ecological risks than MPs. Various microscopic and spectroscopic techniques have been used to detect MPs, and the same methods have occasionally been used for NPs. However, they are not based on receptors, which provide high specificity in most biosensing applications. Receptor-based micro/nanoplastics (MNP) detection can provide high specificity, distinguishing MNPs from the environmental samples and, more importantly, identifying the plastic types. It can also offer a low limit of detection (LOD) required for environmental screening. Such receptors are expected to detect NPs specifically at the molecular level. This review categorizes the receptors into cells, proteins, peptides, fluorescent dyes, polymers, and micro/nanostructures. Detection techniques used with these receptors are also summarized and categorized. There is plenty of room for future research to test for broader classes of environmental samples and many plastic types, to lower the LOD, and to apply the current techniques for NPs. Portable and handheld MNP detection should also be demonstrated for field use since the current demonstrations primarily utilized laboratory instruments. Detection on microfluidic platforms will also be crucial in miniaturizing and automating the assay and, eventually, collecting an extensive database to support machine learning-based classification of MNP types.

Emerging environmental contaminants: A global perspective on policies and regulations

Emerging contaminants include many synthetic or natural substances, such as pharmaceuticals and personal care products, hormones, and flame retardants that are not often controlled or monitored in the environment. The consumption or use of these substances is on an ever-rising trend, which dangerously increases their prevalence in practically all environmental matrices. These contaminants are present in low environmental concentrations and cause severe effects on human health and the biota. The present review analyzed 2012-2022 years papers via PubChem, science direct, National Center for Biotechnology Information, web of science on the legislations and policies of emerging contaminants globally. A state-of-the-art review of several studies in the literature focus on examining and evaluating the emerging contaminants and the frameworks adopted by developed and developing countries to combat the release of emerging contaminants and form footprints towards water sustainability which includes water availability, usage patterns, generation and pollution management, the health of aquatic systems, and societal vulnerability. The paper aims to provide a comprehensive view of current global policies and framework regarding evaluating and assessing the chemicals, in light of being a threat to the environment and biota. The review also highlights the future global prospects, including current governmental activities and emerging contaminant policy measures. The review concludes with suggestions and way forward to control the inventory and disposal of emerging contaminants in the environment.

Can low-carbon city construction reduce carbon intensity？Empirical evidence from low-carbon city pilot policy in China

Low-carbon city pilot policy (LCCP) is an innovative initiative for promoting low-carbon transformation and green development in China, which is of great practical significance for realizing China's vision of "double carbon" on schedule. In this study, LCCP implementation is treated as a "quasi-natural experiment," and the spatial difference-in-differences approach is used to quantitatively examine the carbon reduction effects and impact mechanisms of LCCP using panel data of 283 cities in China from 2006 to 2017. The results show that since 2011, LCCP has significantly reduced the carbon intensity of the pilot cities by 0.13%, resulting from the effects of urban environmental governance, industrial structure optimization, and urban innovation level improvement. Meanwhile, there is a significant spatial spillover effect which results in a 0.9% reduction in carbon intensity of neighboring cities. The spatial spillover range of the reduction effect is about 500 km, which decays with distance. Moreover, the carbon reduction effect of the policy is spatially and temporally heterogeneous, and the reduction effect is more significant for resource-based cities, and different for resource-based cities in different development stages. The above findings provide useful policy insights for constructing low-carbon cities under China's "dual carbon goals" and help to realize the win-win path of green development and carbon reduction transition.

Barriers to employing digital technologies for a circular economy: A multi-level perspective

Industry 4.0 and digital technologies might significantly impact resource optimization in a smart circular economy. However, adopting digital technologies is not easy due to barriers that may arise during this process. While prior literature offers initial insights into barriers at the firm level, these studies pay less attention to these barriers' multi-level nature. Focusing only on one particular level while ignoring others may not unleash the full potential of DTs in a circular economy. To overcome barriers, it's necessary to have a systemic understanding of the phenomenon, which is missing in previous literature. By combining a systematic literature review and multiple case studies of nine firms, this study aims to unpack the multi-level nature of barriers to a smart circular economy. The primary contribution of this study is a new theoretical framework composed of eight dimensions of barriers. Each dimension provides unique insights related to the multi-level nature of the smart circular economy transition. In total, 45 barriers were identified and categorized into the following dimensions: 1. Knowledge management (five barriers), 2. Financial (three barriers), 3. Process management & Governance (eight barriers), 4. Technological (ten barriers), 5. Product & Material (three barriers), 6. Reverse logistic infrastructure (four barriers), 7. Social behaviour (seven barriers), and 8. Policy & Regulatory (five barriers). This study examines how each dimension and multi-level barrier affects the transitions toward a smart circular economy. An effective transition copes with complex, multidimensional, multi-level barriers, which might require mobilization beyond a single firm. Government actions need to be more effective and correlated with sustainable initiatives. Policies also should focus on mitigating barriers. Overall, the study contributes to smart circular economy literature by increasing theoretical and empirical understanding of digital transformation barriers towards circularity.

Electrochemical detection and analysis of tumor-derived extracellular vesicles to evaluate malignancy of pancreatic cystic neoplasm using integrated microfluidic device

Tumor-derived extracellular vesicles (tdEVs) are one of the most promising biomarkers for liquid biopsy-based cancer diagnostics, owing to the expression of specific membrane proteins of their cellular origin. The investigation of epithelial-to-mesenchymal transition (EMT) in cancer using tdEVs is an alternative way of evaluating the risk of malignancy transformation. An ultra-sensitive selection and detection methodology is an essential step in developing a tdEVs-based cancer diagnostic device. In this study, we developed an indium-tin-oxide (ITO) sensor integrated microfluidic device consisting of two main parts: 1) a multi-orifice flow-fractionation (MOFF) channel for extraction of pure EVs by removing blood cellular debris, and 2) an ITO sensor coupled with a geometrically activated surface interaction (GASI) channel for enrichment and quantification of tdEV. The microfluidic channel and the ITO sensors are assembled with a 3D printed magnetic housing to prevent sample leakage and to easily attach/detach the sensors to/from the microfluidic channel. The tdEVs were successfully captured on the specific antibody modified ITO surfaces in the integrated microfluidic channel. The integrated sensors showed an excellent linear response between 10³ and 10⁹ tdEVs/mL. Simultaneous evaluation of the epithelial and mesenchymal markers on the tdEV surfaces successfully revealed the EMT index of the corresponding pancreatic cancer cells. Our ITO sensor integrated microfluidic device showed excellent detection in the clinically relevant tdEVs-concentration range for patients with pancreatic cystic neoplasms. Hence, this system is expected to open a new avenue for liquid biopsy-based cancer prognostics and diagnostics.

Antioxidant and anti-inflammatory potential of rhizome aqueous extract of sea holly (Eryngium maritimum L.) on Jurkat cells

ETHNOPHARMACOLOGICAL RELEVANCE

The genus Eryngium is known for producing a wide range of bioactive compounds with proved medicinal properties. In the last years, research has focused on E. maritimum, with previous studies reporting anticancer, antimicrobial, antioxidant, and anti-inflammatory activities. Ethnobotanical literature suggests that it has been traditionally used to treat a wide range of illnesses, having antitussive, diuretic and aphrodisiac properties. Being rhizome one of the most bioactive organs, much of the available references from traditional uses suggest that it has been specifically used to treat renal diseases. In this sense, inflammation and oxidative processes play a major role in kidney dysfunctions, which could be associated to the mechanism of action of the plant extracts.

AIM OF THE STUDY

The main aim of the study was to investigate the effects of E. maritimum rhizome extract on the antioxidant and inflammatory response in human immune cells.

MATERIAL AND METHODS

Rhizome extracts were obtained from plants growing in Mallorca (Balearic Islands), and its composition was determined using HPLC-DAD, highlighting simple phenolic compounds such as trans-ferulic acid, catechin, chlorogenic acid, epicatechin and rosmarinic acid as the major constituents. Total antioxidant capacity was determined using the FRAP assay. Jurkat cells were cultured to analyse cytotoxicity by cell viability assay. In parallel, cells were stimulated with phytohemagglutinin and treated with different extract concentrations. Gene and protein expression, as well as nitrite and cytokine levels were evaluated as indicators of metabolic responses.

RESULTS

The plant extract showed a high diversity of pharmacologically bioactive compounds with potential therapeutic uses. The extract presented null cytotoxicity and exerted antioxidant and anti-inflammatory effects on Jurkat cells by inducing an antioxidant response and reducing cytokine and nitric oxide release and the expression of pro-inflammatory genes.

CONCLUSION

The present findings suggest that E. maritimum is a promising phytotherapeutic species because of its strong antioxidant and anti-inflammatory potential, which could explain some of its traditional uses.

The effect of state capital injection on firms' pollution emissions: Evidence from China

Existing research on state capital injection (SCI) has not yet explored its environmental effects. Using Chinese firm level data and the difference-in-difference estimator, we estimated the effect of SCI on firms' sulfur dioxide (SO₂) emissions. The results show that the SCI reduced firms' SO₂ emissions significantly but have no effect on SO₂ emissions intensity. Moreover, robustness tests show that SCI also reduced the emissions of industrial exhaust and chemical oxygen demand but not their emissions intensity. Further analysis reveals that the abatement effects of SCI are at the expense of capacity utilization reduction and then the sacrifice of economic output, thus failing to achieve a win-win situation for both pollution abatement and economic benefits. Firms accepting SCI do not significantly increase their use of pollution treatment technologies, either source control technologies or end-of-pipe treatment technologies. The reason may be that after accepting SCI, firms are required to take on more environmental social responsibility and are under higher pressure of pollution abatement. However, their managers may be more inclined to respond to environmental regulation and pollution control through non-market-based approaches rather than through technological innovation. In addition, heterogeneity analysis shows the pollution abatement effect of SCI only exists in small or lower administrative hierarchy firms. This study has shed some lights on the reform of the environmental regulatory system and the environmental performance management of state-owned enterprises.

Green credit and industrial green total factor productivity: The impact mechanism and threshold effect tests

Green credit is an important financial policy tool to solve environmental pollution problems. Improving industrial green total factor productivity (IGTFP) is the key to promote industrial green development. Our study adopts provincial data from 2005 to 2020 to investigate the influence of green credit (GC) on IGTFP. We find that GC significantly improves IGTFP on the whole, industrial structure upgrading and green innovation are the two key impact paths. Threshold model tests show that with the increase of GC, human capital and R&D intensity, the promoting effects of GC on IGTFP are significantly enhanced. Heterogeneity tests indicate that the promoting effect of GC on IGTFP was further enhanced after 2016, GC significantly promotes IGTFP in eastern China, but it is not obvious in central and western China. Besides, the promoting effect of GC on IGTFP is significantly enhanced with the increase of IGTFP. Our research shows that the government should further optimize the green credit system and play the role of green credit in promoting green innovation and industrial structure upgrading.

Hepatoprotective potency of Litsea glutinosa (L.) C.B. Rob. leaf methanol extract on H2O2-induced toxicity in HepG2 cells

ETHNOPHARMACOLOGICAL RELEVANCE

Leaves of Litsea glutinosa (L.) (Lauraceae) are traditionally used to treat hepatitis and liver injury by Bangladeshi folks. However, the hepatoprotective study of leaves of L. glutinosa has not been supported by any research.

AIM OF THE STUDY

To evaluate the antioxidant and hepatoprotective effects of leaves of methanol extract of L. glutinosa using the HepG2 cell line. Phytochemicals were identified with the help of a GC-MS study followed by In-silico docking of the promising compounds to justify our hepatoprotective effect.

MATERIALS & METHODS

The dried leaves of L. glutinosa (LGAO) were extracted by Soxhlet using methanol as solvent. Antioxidant effects were investigated using Superoxide dismutase (SOD), Reduced glutathione (GSH), Glutathione peroxidase (GPx), and Malondialdehyde (MDA) in HepG2 cells against H₂O₂ intoxicated group. The In-vitro hepatoprotective effect of LGAO (100 μg/ml) was determined in HepG2 cells as compared with the Silymarin-treated standard group (100 μg/ml) along with morphological changes of cells. Twelve numbers of phytochemicals were identified by GC-MS study. In-silico studies are performed for their inhibitory effects against Peroxisome proliferator-activated receptor alpha (PPAR-α) and Transforming growth factor-beta1 (TGF-β1) using AUTODOCK Tools-1.5.6 and Discovery studio 4.0.

RESULTS

Methanol extract of L. glutinosa possesses (LGAO) significant (p < 0.0001) increase in SOD, GSH, and GPx levels and a decrease in MDA as compared with the control one. MTT assay in HepG2 cells showed a significant (p < 0.0001) increase in the percentage of cell viability in LGAO and Silymarin-treated group i.e., 71.98%, 88.59% respectively as compared with the H₂O₂ intoxicated group alone i.e., 22.74%. Restoration of cell architecture in HepG2 cells was obtained by the LGAO and Silymarin-treated group treated with H₂O₂. Further, the In-silico study of Neophytadiene compound showed the highest docking score -10.2 and -8.6 towards receptors.

CONCLUSION

Methanol extract of leaves of L. glutinosa showed potential hepatoprotective effect In-vitro which justified our traditional claim. The presence of phytochemical Neophytadiene may be responsible for the said effect. Furthermore, molecular docking scores were consistent with the In-vitro results. They targeted the substantial inhibitory effects of Litsea glutinosa against receptors to establish the correlation between experimental and theoretical results.

Critical success factor analysis of blockchain technology in agri-food supply chain management: A circular economy perspective

In the sustainability system, which gives importance to the availability of resources, recycling, renewal, and reproduction strategies can be handled under the name of the circular economy. While there are many stages to be followed from food production to consumption and even recycling, one of the technologies that will contribute to the circular economy that can take an active role in these stages is blockchain technology. In this study, which is about the circular economy in sustainable supply chain management, the contribution of blockchain technology to agri-food supply chain management is discussed. The aim of the study is to research, analyze and prioritize the critical success factors of the use of blockchain technology for the agri-food sector on the way to the circular economy. As a first step, with the help of PESTEL analysis approach, 12 critical success factors for agri-food supply chain management under the political, economic, social, technological, environmental, and legal dimensions of blockchain technology within the scope of circular economy are determined. Analytic Network Process (ANP) and MultiAtributive Ideal-Real Comparative Analysis (MAIRCA) methods are used in an integrated way to consider the degree of influence between the factors and to determine the ideal optimal factor. In the results, it is determined that the political and technological sub-criteria of blockchain technology is determined, and it is observed that the criteria handled in line with the sustainability system are compatible with the perspective of reducing the waste of resources of the circular economy. If blockchain technology is used in the agri-food sector, it has been determined that it will contribute to the circular economy with the success factors in this study. "Ability to prevent food waste"; "Increased food security"; "Product lifecycle tracking" factors take priority in their ranking.

Two birds with one stone: An enzyme-regulated ratiometric fluorescent and photothermal dual-mode probe for organophosphorus pesticide detection

In this study, based on the oxidase activity and photothermal effect of manganese dioxide nanosheets (MnO₂ NSs), with thiamine (TH) as the fluorescence response signal and tris (2,2'-bipyridyl) ruthenium (II) hexahydrate as the reference signal, an enzyme-regulated ratiometric fluorescence and photothermal dual-mode probe was constructed for the quantitative detection of organophosphorus pesticide (OPs) residues. OPs reduced the production of the reductive product thiocholine by inhibiting the activity of acetylcholinesterase, thereby regulating the residual amount of MnO₂ NSs. With the increase of OPs concentration, the color of the probe solution gradually transitioned from red to blue, and the temperature gradually increased. Using dichlorvos and chlorpyrifos as pesticide models, the developed probes exhibited sensitive responses to OPs in a wide linear range of 0.1-8000 ng/mL. The detection limits of dichlorvos and chlorpyrifos in fluorescence mode were 1.13 × 10^-3 ng/mL and 0.86 ng/mL, respectively. The corresponding detection limits in photothermal mode were 1.01 ng/mL and 1.02 ng/mL, respectively. The proposed probe displayed excellent anti-interference and reliability in the analysis of OPs residues in real samples. The dual-mode probe with self-verification function is expected to provide more accurate and robust detection results than the single-mode probe, and has a wider application prospect.

How does heterogeneous environmental regulation affect net carbon emissions: Spatial and threshold analysis for China

The Chinese government has made great efforts in air pollutant reduction and carried out strict regulation policies. Since numerous air pollutants and CO₂ tend to have the same root, source, and process, recent studies argue that environmental regulation may also contribute to reducing carbon emissions. To investigate how various types of environmental regulations affect carbon emissions reduction, this paper constructs the spatial Durbin model and panel threshold model based on provincial panel data in China during 2003-2019. The main findings are as follows: First, China's net carbon emissions show a decreasing trend from east to west, displaying significant spatial agglomeration characteristics. Then, formal and informal environmental regulations have inverted U-shaped impacts on net carbon emissions. The "green paradox" and "reverse emission reduction" effects come into play at different stages. Finally, the threshold model reveals that with the improvement of regional technological innovation levels, the carbon-reducing effect of environmental regulation will increasingly come to the fore. These research findings are conducive to providing theoretical guidance for government to formulate and implement environmental regulation policies rationally.

Additional social welfare of environmental regulation: The effect of environmental taxes on income inequality

This study utilizes the environmental tax reform in China as a quasi-natural experiment to investigate the effect of environmental taxes on income inequality. In January 2018, the Environmental Protection Tax Law (EPTL) came into effect in China, provinces began to collect environmental taxes in accordance with the law. We find that the reform contributes to lower within-firm wage inequality. The reform leads to declines in executive compensation and increases in worker wages. We further find that tax enforcement, environmental regulations, fiscal stress and tax competition vary the relationship between the reform and wage inequality. Heterogeneity analyses show that the effect is greater in non-state-owned firms, small firms, and firms with higher board shareholdings. Extensive robustness tests corroborate our inferences. This paper verifies the effectiveness of environmental regulation in enhancing social welfare, and is beneficial for assessing the welfare effects of environmental regulation more accurately. The findings can also help the government reduce obstacles in the implementation of environmental taxes, and further enhance the effectiveness of the EPTL.

Sustainable development of fuel cell using enhanced weighted mean of vectors algorithm

Using the mathematical model of a Direct Methanol Fuel Cell (DMFC) stack, a new optimum approach is presented for estimating the seven unknown parameters i.e., ( e o , α , R , j e i d , C 1 , β ,r_eq) optimally. Specifically, a method is proposed for minimization of the Sum of Squared Errors (SSE) associated with the estimated polarization profile, based on the experimental data from simulations. The Enhanced Weighted mean of vectors (EINFO) algorithm is a novel metaheuristic method that is proposed to achieve this goal. An analysis of the results of this method is then compared to various metaheuristic algorithms such as the Particle Swarm Optimization (PSO), Sine Cosine Algorithm (SCA), Dragonfly Algorithm (DA), Atom Search Optimization (ASO), and Weighted mean of vectors (INFO) well known in literature. As a final step to confirm the proposed approach's effectiveness, the sensitivity analysis is carried out using temperature changes, along with comparison against different approaches described in the literature to demonstrate its superiority. After comparison of parameter estimation and different operating temperature a non-parametric test is also performed and compared with the rest of the metaheuristic algorithms used in the manuscript. From these tests it is concluded that the proposed algorithm is superior to the rest of the compared algorithms.

Insight into catalytic activation of bisulfite for lomefloxacin degradation by simple composite of calcinated red mud

Antibiotic was detected in many environments, and it had posed a serious threat to human health. The advanced oxidation process has been considered an effective way to treat antibiotics. In this work, using industrial waste red mud (RM) as raw material, a series of modified RM (MRM-T; T donates the calcination temperature) was obtained via a facile calcination method and applied to activate sodium bisulfite (NaHSO₃) for the lomefloxacin (LOM) degradation. Among all MRM-T, MRM-700 exhibited superior catalytic activity, and approximately 89% of LOM (10 mg/L) was degraded at 30 min through the activation of NaHSO₃ ([NaHSO₃] = 0.5 g/L) by MRM-700 ([MRM-700] = 0.9 g/L). Moreover, the kinetic constant of LOM removal in the MRM-700/NaHSO₃ system (0.082 min^-1) was 16.4 times higher than that of the RM-raw/NaHSO₃ system (0.005 min^-1). The as-synthesized product of MRM-700 was characterized by N₂ adsorption-desorption isotherms, X-ray diffraction (XRD), scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), and Raman spectra. The result indicated that the catalyst possessed excellent pore structure, high specific area, and abundant Fe³⁺ sites, and the lattice of Fe₂O₃ was doped after calcination, both of which were favorable for the activation of NaHSO₃. The quenching experiment proved that •SO₄^- and •OH^- active species were produced in MRM-700/NaHSO₃ system, and •SO₄^- played a dominant role in LOM removal. In addition, the potential LOM degradation pathway was analyzed via UPLC-MS technology and density functional theory (DFT) calculation, and the toxicity of the treated LOM solution was tested by the culture of mung bean sprouts. This study not only provided a feasible strategy for the valuable use of RM to activate NaHSO₃ but also offered a cost-effective catalyst for the efficient removal of pollutants in wastewater.

A dual “turn-on” biosensor based on AIE effect and FRET for in situ detection of miR-125b biomarker in early Alzheimer's disease

MicroRNA-125b (miR-125b) is highly associated with synaptic dysfunction and tau hyperphosphorylation in the early pathogenesis of Alzheimer's disease (AD), making it a promising biomarker for early AD diagnosis. Hence, there is an urgent need for a reliable sensing platform to assist in situ miR-125b detection. In this work, we report a dual "turn-on" fluorescence biosensor based on the nanocomposite of aggregation-induced emission fluorogen (AIEgen)-labeled oligonucleotide (TPET-DNA) probes immobilized on the surface of cationic dextran modified molybdenum disulfide (TPET-DNA@Dex-MoS₂). In the presence of the target, TEPT-DNA can hybridize with miR-125b to form a DNA/RNA duplex, causing TPET-DNA to detach from the surface of Dex-MoS₂ that simultaneously activates the dual fluorescence enhancement processes: (1) recovery of TPET-DNA signal and (2) strong fluorescent emission from AIEgen triggered by restriction of the intramolecular rotation. The sensing performance of TPET-DNA@Dex-MoS₂ was demonstrated by detecting miR-125b in vitro with good sensitivity at the picomolar level and rapid response (≤1 h) without amplification procedures. Furthermore, our nanoprobes exhibited excellent imaging capabilities to aid real-time monitoring of the endogenous miR-125b in PC12 cells and brain tissues of mice AD model induced by local administration of okadaic acid (OA). The fluorescence signals of the nanoprobes indicated miR-125b was spatially associated with phosphorylated tau protein (p-tau) in vitro and in vivo. Therefore, TPET-DNA@Dex-MoS₂ could be a promising tool for in situ and real-time monitoring of the AD-related microRNAs and also provide mechanistic insight into the early prognosis of AD.

Biomimetic integrated gustatory and olfactory sensing array based on HL-1 cardiomyocyte facilitating drug screening for tachycardia treatment

The ectopic co-expression of taste and olfactory receptors in cardiomyocytes provides not only possibilities for the construction of biomimetic gustatory and olfactory sensors but also promising novel therapeutic targets for tachycardia treatment. Here, bitter taste and olfactory receptors endogenously expressed in HL-1 cells were verified by RT-PCR and immunofluorescence staining. Then HL-1 cardiomyocyte-based integrated gustatory and olfactory sensing array coupling with the microelectrode array (MEA) was first constructed for drugs screening and evaluation for tachycardia treatment. The MEA sensor detected the extracellular field potentials and reflected the systolic-diastolic properties of cardiomyocytes in real time in a label-free and non-invasive way. The in vitro tachycardia model was constructed using isoproterenol as the stimulator. The proposed sensing array facilitated potential drug screening for tachycardia treatment, such as salicin, artemisinin, xanthotoxin, and azelaic acid which all activated specific receptors on HL-1 cells. IC₅₀ values for four potential drugs were calculated to be 0.0036 μM, 309.8 μM, 14.68 μM, and 0.102 μM, respectively. Visualization analysis with heatmaps and PCA cluster showed that different taste and odorous drugs could be easily distinguished. The mean inter-class Euclidean distance between different bitter drugs was 1.681, which was smaller than the distance between bitter and odorous drugs of 2.764. And the inter-class distance was significantly higher than the mean intra-class Euclidean distance of 1.172. In summary, this study not only indicates a new path for constructing novel integrated gustatory and olfactory sensors but also provides a powerful tool for the quantitative evaluation of potential drugs for tachycardia treatment.