Zinc (Zn) is one of the most abundantly found heavy metals in the Earth’s crust and is reported to be an essential trace metal required for the growth of living beings, with it being a cofactor of major proteins, and mediating the regulation of several immunomodulatory functions. However, its essentiality also runs parallel to its toxicity, which is induced through various anthropogenic sources, constant exposure to polluted sites, and other natural phenomena. The bioavailability of Zn is attributable to various vegetables, beef, and dairy products, which are a good source of Zn for safe consumption by humans. However, conditions of Zn toxicity can also occur through the overdosage of Zn supplements, which is increasing at an alarming rate attributing to lack of awareness. Though Zn toxicity in humans is a treatable and non-life-threatening condition, several symptoms cause distress to human activities and lifestyle, including fever, breathing difficulty, nausea, chest pain, and cough. In the environment, Zn is generally found in soil and water bodies, where it is introduced through the action of weathering, and release of industrial effluents, respectively. Excessive levels of Zn in these sources can alter soil and aquatic microbial diversity, and can thus affect the bioavailability and absorption of other metals as well. Several Gram-positive and -negative species, such as Bacillus sp., Staphylococcus sp., Streptococcus sp., and Escherichia coli, Pseudomonas sp., Klebsiella sp., and Enterobacter sp., respectively, have been reported to be promising agents of Zn bioremediation. This review intends to present an overview of Zn and its properties, uses, bioavailability, toxicity, as well as the major mechanisms involved in its bioremediation from polluted soil and wastewaters.

The study provides a comprehensive bibliometric analysis of imaging and non-imaging spectroscopy for wheat scab (INISWS) using CiteSpace. Therefore, we underpinned the developments of global INISWS detection at kernel, spike, and canopy scales, considering sensors, sensitive wavelengths, and algorithmic approaches. The study retrieved original articles from the Web of Science core collection (WOSCC) using a combination of advanced keyword searches related to INISWS. Afterward, visualization networks of author co-authorship, institution co-authorship, and country co-authorship were created to categorize the productive authors, countries, and institutions. Furthermore, the most significant authors and the core journals were identified by visualizing the journal co-citation, top research articles, document co-citation, and author co-citation networks. The investigation examined the major contributions of INISWS research at the micro, meso, and macro levels and highlighted the degree of collaboration between them and INISWS knowledge sources. Furthermore, it identifies the main research areas of INISWS and the current state of knowledge and provides future research directions. Moreover, an examination of grants and cooperating countries shows that the policy support from the People’s Republic of China, the United States of America, Germany, and Italy significantly benefits the progress of INISWS research. The co-occurrence analysis of keywords was carried out to highlight the new research frontiers and current hotspots. Lastly, the findings of kernel, spike, and canopy scales are presented regarding the best algorithmic, sensitive feature, and instrument techniques.

Land use/land cover changes (LULCCs) and biological invasions significantly impact coastal wetlands (CWs) and their ecosystem services and functions. The exact impacts, however, are difficult to quantify and are often neglected in policymaking. The evaluation of ecological service value (ESV) is conducive to clarifying the ecological and environmental changes caused by LULCCs and biological invasions. The objective of this study was to investigate their impact on CWs in Jiangsu Province, China, and provide useful information and advice for policymakers concerned with sustainable development. In this paper, basic data were obtained through geographic information system technology, and CW ecosystems’ services were calculated via the ESV coefficients per unit area of different wetland types. Accordingly, this study found the current land use methods responsible for significant ecosystem disruption and reductions in the area of natural vegetation. Currently, the area of natural vegetation only accounts for 43% of the total area recorded in 1987. In 2018, the total ESV of wetland vegetation (Spartina, Phragmites, and Suaeda) was estimated to be USD 14.10 million, while that of farmland was USD 8.58 million, and that of forests was USD 2.09 million. Natural vegetation only covered 9% of the total land area but produced 60% of the total ESV. Spartina alterniflora exhibited the highest ESV per unit area, with USD 1.35 million. However, the CWs of Jiangsu Province have recently shown a shift in vegetation composition due to the invasion of Spartina alterniflora. Currently, the dominant species in these CWs are Spartina alterniflora and Phragmites australis, while the local population of Suaeda salsa has significantly declined. Therefore, it is necessary to strengthen the preservation and restoration of wetland vegetation, control the invasive potential of Spartina alterniflora, and consider the implementation of suitable protective measures for native plants.

Corrigendum: Zinc essentiality, toxicity, and its bacterial bioremediation: A comprehensive insight