Global research trends of artificial intelligence applied in esophageal carcinoma: A bibliometric analysis (2000-2022) via CiteSpace and VOSviewer.

Objective: Using visual bibliometric analysis, the application and development of artificial intelligence in clinical esophageal cancer are summarized, and the research progress, hotspots, and emerging trends of artificial intelligence are elucidated. Methods: On April 7th, 2022, articles and reviews regarding the application of AI in esophageal cancer, published between 2000 and 2022 were chosen from the Web of Science Core Collection. To conduct co-authorship, co-citation, and co-occurrence analysis of countries, institutions, authors, references, and keywords in this field, VOSviewer (version 1.6.18), CiteSpace (version 5.8.R3), Microsoft Excel 2019, R 4.2, an online bibliometric platform (http://bibliometric.com/) and an online browser plugin (https://www.altmetric.com/) were used. Results: A total of 918 papers were included, with 23,490 citations. 5,979 authors, 39,962 co-cited authors, and 42,992 co-cited papers were identified in the study. Most publications were from China (317). In terms of the H-index (45) and citations (9925), the United States topped the list. The journal "New England Journal of Medicine" of Medicine, General & Internal (IF = 91.25) published the most studies on this topic. The University of Amsterdam had the largest number of publications among all institutions. The past 22 years of research can be broadly divided into two periods. The 2000 to 2016 research period focused on the classification, identification and comparison of esophageal cancer. Recently (2017-2022), the application of artificial intelligence lies in endoscopy, diagnosis, and precision therapy, which have become the frontiers of this field. It is expected that closely esophageal cancer clinical measures based on big data analysis and related to precision will become the research hotspot in the future. Conclusions: An increasing number of scholars are devoted to artificial intelligence-related esophageal cancer research. The research field of artificial intelligence in esophageal cancer has entered a new stage. In the future, there is a need to continue to strengthen cooperation between countries and institutions. Improving the diagnostic accuracy of esophageal imaging, big data-based treatment and prognosis prediction through deep learning technology will be the continuing focus of research. The application of AI in esophageal cancer still has many challenges to overcome before it can be utilized.

Significant enhancement of electron transfer from Shewanella oneidensis using a porous N-doped carbon cloth in a bioelectrochemical system.

Modifying the surface of an anode can improve electron transfer, thus enhancing the performance of the associated bioelectrochemical system. In this study, a porous N-doped carbon cloth electrode was obtained via a simple thermal reduction and etching treatment, and then used as the anode in a bioelectrochemical system. The electrode has a high nitrogen-to­carbon (N/C) ratio (~3.9%) and a large electrochemically active surface area (145.4 cm2, about 4.4 times higher than that of the original carbon cloth), which increases the bacterial attachment and provides more active sites for extracellular electron transfer. Electrochemical characterization reveals that the peak anodic current (0.71 mA) of the porous N-doped carbon cloth electrode in riboflavin is 18 times higher than that of the original carbon cloth electrode (0.04 mA), confirming the presence of more electroactive sites for the redox reaction. We also obtained a maximum current density of 0.29 mA/cm2 during operation of a bioelectrochemical system featuring the porous N-doped carbon cloth electrode, which is 14.5 times higher than that of the original carbon cloth electrode. This result demonstrates that the adoption of our new electrode is a viable strategy for boosting the performance of bioelectrochemical systems.

Enhanced Rhodococcus pyridinivorans HR-1 anode performance by adding trehalose lipid in microbial fuel cell.

In this study, a trehalose lipid was added to a Rhodococcus pyridinivorans-inoculated MFC to improve the power output by enhancing electron transfer. Upon trehalose lipid additions of different concentrate from 0 to 20 mg/L, the maximum power density increased from 54.7 mW/m2 to 324.4 mW/m2 (5.93 times) while the corresponding current density was 3.66 times increased from 0.35 A/m2 to 1.28 A/m2. Cyclic voltammetry analysis revealed that the addition of trehalose lipid increased the electron transfer performance, while electrochemical impedance spectroscopy results proved a decrease in internal resistance. It was demonstrated that adding bio-surfactant in MFC was a novel way to enhance power output performance.

[Sustainable electricity generation in microbial fuel cells using Fe(III)-EDTA as cathodic electron shuttle].

The rate of oxygen reduction reaction (ORR) at the cathode is a major factor affecting the performance of the microbial fuel cells (MFC). Results showed that when using Fe(III)-EDTA solution as catholyte, the ORR rate was significantly increased and the internal resistance was reduced, consequently leading to an increase in power output. With a concentration of Fe(III )-EDTA at 20.0 mmol/L in the catholyte, the MFC produced the voltage and power density at approximate 200.1 mV and 16.0 mW/m2, respectively, which was increased by 73.2% and 70.1% contrary to the MFC without the presence of Fe(III)-EDTA. The further experiment suggested that Fe(III)-EDTA functioned as electron shuttle to accelerate electron transfer. Fe(III)-EDTA received electron and got reduced to Fe(III)-EDTA, which further provided electrons to oxygen and got reoxidized at the same time. Therefore Fe(III)-EDTA can act as recyclable electron shuttles between cathode electrode and oxygen. The optimum condition in the case of using Fe(III)-EDTA as cathode electron shuttles was tested to be Fe(III)-EDTA concentration at 20.0 mmol/L and pH at 5.0, which allowed MFC produced the maximum power density of 100.9 mW/m2.

[Mechanisms of bioelectricity generation in Enterobacter aerogenes-based microbial fuel cells].

Microbial fuel cells (MFCs) using hydrogen-producing bacteria (HPB) could utilize a large number of substrates to generate power. However, the coulombic efficiency is limited by the fact that only suspended cells are used as biocatalyst in anodic medium. MFCs using Fe (III)-reducing bacteria have high energy recovery efficiency, but can only utilize some simple organic matters. In this study, Enterobacter aerogenes XM02, a hydrogen-producing strain with Fe(III)-reducing activity, was selected as biocatalyst for MFCs, which could produce electricity by digesting lots of carbohydrates even starch. Graphite felt, a material with high specific surface area and hydrogen catalysis, instead of carbon paper supported platinum, was used as anode material. The coulombic efficiency had been substantially improved from 1.68% to 42.49%, higher than other HPB-based MFCs previously reported. The SEM image proved the ability of XM02 strain to colonize on the anode surface. Power generation of MFCs could restore quickly when anodic medium was completely replaced with non-growth medium containing glucose. This suggested that the attached cells contributed to electricity production because planktonic cells had been removed during the medium replacement. This study proposed the mechanism of power generated from in situ oxidation of hydrogen produced by the XM02 strain biofilm.