Friendly Platform Research Articles

Morphological and Metabolic Engineering of Yarrowia lipolytica to Increase β-Carotene Production.

The oleaginous yeast Yarrowia lipolytica represents an environmentally friendly platform cell factory for β-carotene production. However, Y. lipolytica is a dimorphic species that can undergo a yeast-to-mycelium transition when exposed to stress. The mycelial form is unfavorable for industrial fermentation. In this study, β-carotene-producing Y. lipolytica strains were constructed via the integration of multiple copies of 13 genes related to the β-carotene biosynthesis pathway. The β-carotene content increased by 11.7-fold compared with the start strain T1. As the β-carotene content increased, the oval-shaped yeast form was gradually replaced by hyphae, implying that the accumulation of β-carotene in Y. lipolytica induces a morphological transition. To relieve this metabolic stress, the strains were morphologically engineered by deleting CLA4 and MHY1 genes to convert the mycelium back to the yeast form, which further increased the β-carotene production by 139%. In fed-batch fermentation, the engineered strain produced 7.6 g/L and 159 mg/g DCW β-carotene, which is the highest titer and content reported to date. The morphological engineering strategy developed here may be useful for enhancing chemical synthesis in dimorphic yeasts.

LACLOD: Learning Analytics for Children’s Logic Development

Learning Analytics for Children's Logic Development (LACLOD) is a web-based and mobile friendly learning analytic platform for assessing the logic development of children age 3 to 4 years old in TASKA PERMATA UPSI Malaysia. The platform is developed using Unity and connected through Google Analytics (GA) plugin where it tracked the user interaction for the application. LACLOD is designed only for mobile or tablet which is using Android. In this paper, the development of this learning analytic platform is presented. For evaluation of this system, observation and survey have been used, to get the feedback from 2 teachers (female) and 3 children (2 female and 1 male). Based on the evaluation, it can be seen that there are still rooms for improvement. Female children found it quit hard to understand the game but the male children looked satisfy because he knew on how to navigate the app and he actively played the app by himself. As for teachers, the acceptance to this kind of assessment is moderate, however they agree that this application can better improve the children’s learning especially in logic development.

Reflections on the Nursing Work Environment in Light of the Experience With COVID-19

Labor issues related to the nursing profession have been gaining prominence in Taiwan as well as overseas. In 2016, the United Nations highlighted the importance of societies investing sufficient funds in their professional nurses to support and promote public health, gender equality, and economic growth. Good-quality care requires that nurses have good physical and mental health, while creating and maintaining a friendly nursing work environment rely on cooperation among the government, labor unions, and hospitals. Over the past decade, the Taiwan government has increasingly promoted relevant regulations and established a friendly platform to allow nursing staffs to identify problems and report labor rights violations. In addition, nurses have formed unions to defend and advocate for their professional rights. After the outbreak of COVID-19 in late 2019, the Department of Nursing and Health Care of the Ministry of Health and Welfare actively proposed policies related to creating and maintaining good nursing work environments. The Taiwan Nursing and Medical Industries Union took a supervisory role in this process, providing feedback on policies from the perspective of Taiwan's professional nurses and arguing for the reasonable and fair subsidization of epidemic prevention facilities, implementation of mask and protective equipment, nursing labor rights, and social respect for the nursing profession. Much work still needs to be done to improve the domestic working environment for nursing staffs, including improving and expanding education, normalizing and effectively utilizing nursing staff feedback and whistleblowing information, promoting information transparency, and implementing better policies. We hope that a friendlier nursing work environment will attract many more outstanding young persons to pursue a career in nursing.

Visual interfaces for the digital simulation system of the IPR-R1 Triga nuclear research reactor

Nuclear Technology Development Center (CDTN) offers the Training Course for Research Reactor Operator (Ctorp). This course is offered since 1974 and about 250 nuclear professionals were certificated by CDTN. Thus, a digital simulation system for the IPR-R1 Triga research reactor was developed to be a tool for teaching, training and recycling professionals. The simulator was developed using the LabVIEW® (Laboratory Virtual Instruments Engineering Workbench), with support calculation software, where mathematical models and graphical interface configurations form a friendly platform, which allows the trainee to be identified with the physical systems of the research reactor. A simplified modeling of the main physical phenomena related to the operation of the reactor and the reactivity control systems, reactor cooling and reactor protection was used. The digital simulator allows an HMI (Human-Machine Interaction) by manipulating system variables and monitoring trends in quantities during the operation of the reactor, showing an interactive tool for teaching, training and recycling for professionals in the IPR-R1 Triga nuclear research, allowing simulations of the start, power and stop operations. This paper presents the design and results of the user visual interfaces developed for the reactor operation simulator. This is the equivalent part of structured text programming and, therefore, the most significant part of the developed simulator.

Computer Simulator for the Research Reactor IPEN/MB-01

A computer simulator for the Nuclear Research Reactor IPEN / MB-01 was developed to be a tool for teaching, training and recycling professionals. The simulator was developed on a SCADA platform (Supervision and Data Acquisition System) with support calculation software, where mathematical models and graphical interface configurations form a friendly platform, which allows the trainee to be identified with the physical systems of the research reactor. A simplified modeling of the main physical phenomena related to the operation of the reactor and the reactivity control systems, reactor cooling and reactor protection was used. The Simulator allows an HMI (Human-Machine Interaction) by manipulating system variables and monitoring trends in quantities during the operation of the reactor, showing an interactive tool for teaching, training and recycling for professionals in the Nuclear Reactor IPEN / MB -01, allowing simulations of the start, power and stop operations.

Acoustic manipulation of breathing MOFs particles for self-folding composite films preparation

Integrating breathing metal-organic frameworks (MOFs) particles into a passive polymer matrix is a successful strategy to develop self-folding composite films. However, the folding direction of the film depends on the gradient distribution of breathing MOFs particles in the polymer matrix, which is a huge challenge. Herein, acoustic manipulation is exploited to pattern breathing MIL-53(Fe) particles in liquid photosensitive resin to control over their spatial distribution, and combined with stereolithography to prepare self-folding composite films in situ. The prepared polymer film containing the microstructure of MIL-53(Fe) particles exhibits self-folding in response to the solvent that causes breathing of MIL-53(Fe) crystals. The reported strategy provides a simple, fast and environmentally friendly platform to prepare self-folding composite films based on breathing MOFs.

Tremendous Contribution of Dr. Shahid Ullah to Scientific Community during COVID-19 Pandemic in the Form of Scientific Research

Legends are often the leading indicators of progress, civilization, culture for society and especially for the scientific community. The world is running on such beneficent, diligent, and creative-mind people, which sacrificing their precious time of life for the aid of society. Dr. Shahid Ullah is one of those who tried day night for humanity and have provided a great platform for the scientific community as well as for local researcher in the form of S Khan Lab, which has all updated biological databases of all research area that were not been provided on such friendly finding forum. The purpose of biological databases is to store, organize and distribute data in a standardized and searchable manner to facilitate the processing and visualization of data for humans. Taken together he has collected all biological databases to one easy and friendly finding manner platform which is available at http://www.habdsk.org/ with timely updates. Further, he has also provided two databases on the Covid-19, a global challenge for the scientific community recently.

Students’ Perception of Online Learning during COVID-19 Pandemic: A Case Study on the English Students of STKIP Pamane Talino

The pandemic of COVID-19 has forced the Indonesian government through its Ministry of Education and Culture to implement policies moving conventional classroom to online classroom. The current study is a  collective case study consisting of analysis of survey on students’ perceptions of their online learning during the pandemic. Sixty-six students of English Language Education Study Program at Pamane Talino College of Education (STKIP Pamane Talino) were involved. Their perceptions of their online classroom that were recorded through a survey. The recorded perceptions are in terms of students’ participation, accessibility, material and assignment delivery, and the use of e-learning platforms. The results were then summarized into tables and narrative descriptions. The study identified three major obstacles in conducting online learning in English Language Education Study Program at STKIP Pamane Talino: the first is availability and sustainability of internet connection, the second is accessibility of the teaching media, and the last is the compatibility of tools to access the media. The result of the current study suggests that accessibility is still the major factor influencing the success of online learning. Online learning for English Language Education Study Program at STKIP Pamane Talino, and potentially Indonesia in general,  requires some more friendly platforms so that students’ participation can be increased. This is especially for students who reside in rural areas with limited internet connections and other support systems

Sarcoma Treatment Efficacy Portal (STEP): A novel informatics portal providing real-time, real-world outcomes to clinicians.

e23538 Background: There are currently no informatics tools that are capable of providing complex clinical decision support using real-world outcomes (RWO) for patients with sarcoma. Although existing nomograms can provide prognostic scores based on clinical or genomics features, they typically are static and lack the ability to compare outcomes for patients managed with alternative treatment strategies. To address this need, we present STEP, a Sarcoma Treatment Efficacy Portal, a web-based tool designed for real-time exploration and visualization of patient data with the potential to be integrated into clinical decision workflows during outpatient visits. Methods: At The Ohio State University, clinical histories and omics data for sarcoma patients are captured in our prospective Sarcoma Registry (NCT0267796). STEP is an interactive web-based tool built in R/Shiny and supported by a pipeline written Python that processes, transforms, and caches clinical data extracted from the Sarcoma Registry in near real-time. Protected health information (PHI) is stored on a secure HIPAA compliant server behind the hospital firewall and migrated to a secure, deidentified staging database. Results: The STEP system is powered by detailed treatment specific data elements that are continuously abstracted for over 400 patients with bone and soft tissue sarcoma. This consists of manually annotated clinical histories in addition to nearly 10 million discrete data points are pulled from the EHR (labs, ICD-9/10 codes, medications, omics data). Importantly, STEP includes a cohort builder which allows users to define a treatment group of interest though any number of variables including tumor histology, chemotherapy, and omic features of interest. For any predefined cohort, STEP can provide information on overall survival and response to a variety of treatments. It also provides sorting mechanisms for identifying candidate treatments. A secure web interface allows a simple integration into a busy clinic flow. Conclusions: STEP provides a first in class, convenient, clinician friendly platform for delivering access to real-time, real-world treatment outcomes (RWO) in patients with a diagnosis of bone or soft tissue sarcoma. Additional usability testing is forthcoming.

Biological synthesis of iron nanoparticles using hydrolysates from a waste-based biorefinery.

The purpose of this work was to produce iron nanoparticles (Fe-NP) by microbial pathway from anaerobic bacteria grown in anaerobic fluidized bed reactors (AnFBRs) that constitute a new stage of a waste-based biorefinery. Bioparticles from biological fluidized bed reactors from a biorefinery of organic fraction of municipal solid wastes (that produces hydrolysates rich in reducing sugars) were nanodecorated (embedded nanobioparticle or nanodecorated bioparticle, ENBP) by biological reduction of iron salts. Factors "origin of bioparticles" (either from hydrogenogenic or methanogenic fluidized bed reactor) and "type of iron precursor salt" (iron chloride or iron citrate) were explored. SEM and high-resolution transmission electron microscopy (HRTEM) showed amorphous distribution of nanoparticles (NP) on the bioparticles surface, although small structures that are nanoparticle-like could be seen in the SEM micrographs. Some agglomeration of NPs was confirmed by DLS. Average NP size was lower in general for NP in ENBP-M than ENBP-H according to HRTEM. The factors did not have a significant influence on the specific surface area of NPs, which was high and in the range 490 to 650m2g-1. Analysis by EDS displayed consistent iron concentration 60-65% iron in nanoparticles present in ENBP-M (bioparticles previously grown in methanogenic bioreactor), whereas the iron concentration in NPs present in ENBP-H (bioparticles previously grown in hydrogenogenic bioreactor) was more variable in a range from 8.5 to 62%, depending on the iron salt. X-ray diffraction patterns showed the typical peaks for magnetite at 35° (3 1 1), 43° (4 0 0), and 62° (4 0 0); moreover, siderite diffraction pattern was found at 26° (0 1 2), 38° (1 1 0), and 42° (1 1 3). Results of infrared analysis of ENBP in our work were congruent with presence of magnetite and occasionally siderite determined by XRD analysis as well as presence of both Fe+2 and F+3 (and selected satellite signal peaks) observed by XPS. Our results on the ENBPs hold promise for water treatment, since iron NPs are commonly used in wastewater technologies that treat a wide variety of pollutants. Finally, the biological production of ENBP coupled to a biorefinery could become an environmentally friendly platform for nanomaterial biosynthesis as well as an additional source of revenues for a waste-based biorefinery.

Low Cost Autonomous Robot Cleaner using Mapping Algorithm based on Internet of Things (IoT)

The objective of this study is to design and develop a low-cost Arduino autonomous robot cleaner using mapping algorithm to clean floor area of houses or offices. The idea is basically to detect any obstacles with the help of sensor and sent its output to microcontroller that will control the autonomous vacuum cleaner movement. A low-cost solution is proposed in this study by using HC-SR04 ultrasonic sensor for obstacle avoidance and control by Arduino UNO. By using an autonomous vacuum cleaner, user can turn ON the autonomous vacuum robot to clean without any help of a human operator. Wall mapping and random mapping is being applied in this study to find the effective mapping algorithm for autonomous robot cleaner. Additionally, instead of using the traditional button or switch to activate the robot, voice recognition through Google Assistant implemented in this project. Hence, this provides a more user friendly platform not only for normal user but also help visually impaired people to activate the robot.

Chimeric Antigen Receptor T Cell Therapy Pipeline at a Glance: A Retrospective and Systematic Analysis from Clinicaltrials.Gov

Background: Chimeric Antigen Receptor (CAR) T cell therapy is a promising cancer immunotherapy that is growing exponentially. The doubling time of medical knowledge in 2010 was 3.5 years, and the projection for 2020 is just 73 days. In the last five years, the number of PubMed publications on cancer applications of CAR T cells has tripled. Therefore, to remain updated in the field represents a challenge for patients, care providers and researchers. In this review we provide a focused summary of the currently ongoing clinical trials, with a comprehensive overview of advances in CAR T cell therapy, beyond CD19, emphasizing on antigenic targets, development phases, and leading sponsor pharmaceutical companies. Methods: We retrieved the available data from the national registry of clinical trials (clinicaltrials.gov) using the following keywords: "CAR T cell", "CAR T cell and cancer", "chimeric antigen receptor", "CAR T AND tumor antigen", 'CAR T cell antigens", "Tumor antigens targeted by CAR T cells", "engineered T cells", "modified T cell", "CAR T cells in Cancer", "CAR T cell therapy", "CAR T cell therapy AND Cancer" until December 31, 2018 and manually excluded the trials unrelated to CAR T-cell therapies on cancer, by reviewing the detailed information provided on the website as well as preliminary data published. Results: The analysis included 271 clinical trials posted on the clinicaltrials.gov website from the United States by the cut-off date. For efficacy analysis, we retrieved information from 52 trials, by NCT number on a PubMed search. The majority of CAR T clinical research is focused on hematological cancer (57%), followed by CNS 8%, GI 6%, Skin 5%, Genitourinary 4%, Breast 4%, Gynecologic 4%, Respiratory 3%, Sarcoma 2%, Mesothelioma 2% and others 5%. The most used target in CAR T cell therapy and the leaders in phase 3 trials are CD19 (42%) and BCMA (12%), followed by CD20, NY-ESO-1, Mesothelin, HER2, GD2, MAGE-A3 and CD30. An essential step in CAR T cell therapy development is the selection of the right antigen/target. Here, we provide an overview of the clinically relevant targets that are actively being using by clinical trials in the United States. For example, CD19 appears to be a leading target regarding CAR T cell therapy on cancer with 116 trials (42% of total CAR T cells trials) on going just in the United States with a significant increment in the previous years. Similarly, with BCMA is one of the targets with more phase 3 trials (Figure 1) with promising results on patients with Multiple Myeloma with and the objective response of 85%, CR 45%, and PFS of 11.8 months. Second-generation CARs with either CD28 or 4-1BB as costimulatory signaling domain are preferred, with 4-1BB being the most commonly chosen. Conclusions: Our findings show growing trends in the development of CAR T cell-based therapies, combination and possible retargeting therapies in the future for solid tumor and hematologic malignances; taking into account the amount of important information and the complexity of the database, we have developed this analysis to understand how to generate in the future a friendly platform for researchers and patients to have an detailed overview of the clinical trials in cellular therapies Disclosures No relevant conflicts of interest to declare.

Catalytic performance of NiFe2O4 and Ni0.3Zn0.7Fe2O4 magnetic nanoparticles during biodiesel production

In this study, catalytic performance of nanoferrites NiFe2O4 and Ni0.3Zn0.7Fe2O4 is reported. Nickel–ferrite and mixed nickel–zinc ferrite were successfully synthesized by combustion reaction using a conical reactor with production of 10 g per batch. Crystallinity and purity or quantitative analysis of the catalyst were checked by using X-ray diffraction and energy dispersive X-ray analysis. Surface chemistry was examined via Fourier transform infrared (FTIR) analysis; N2 physisorption at 77 K was conducted to obtain textural properties of the catalyst; a thermogravimetric analysis, a scanning electron microscope and a transmission electron microscopy were used to check the thermal stability and morphology of the catalyst, respectively. The catalysts were used to convert soybean oil into biodiesel in a batch mode and the reaction mixture was analyzed using a pre-calibrated gas chromatograph (GC). The presence of a single-phase spinel structure in the synthesized nanoparticles was confirmed by the XRD results. The Ni0.3Zn0.7Fe2O4 had a lower surface area value of 71.5 m2g−1 and higher saturation magnetization value of 31.50 emu/g than sample NiFe2O4 which had 87.6 m2g−1 and 17.85 emu/g, respectively. Biodiesel yield of 94% was obtained with Ni0.3Zn0.7Fe2O4 and 49% was obtained with NiFe2O4. Better performance of Ni0.3Zn0.7Fe2O4 when compared to that of NiFe2O4 could be attributed to higher acidity of the former. Findings from this study suggest that the development of nickel-zinc ferrite nanoparticles as magnetic heterogeneous catalysts could provide an environmentally friendly platform for biodiesel production.

Desenvolvimento de um sistema de monitoramento em tempo real baseado em Arduino e Raspberry

Atualmente, investidores de diversos setores industriais buscam melhorias de processos que visam rentabilidade e maior competitividade no mercado, porém, características como custo, agilidade de informação e produção são pontos determinantes para tal. Plataformas de controle de entrada e saída open source que integram microcontroladores vem ganhando espaço em diversos setores, no qual, programados apresentam capacidade de controlar processos e gerenciar dados. Desta forma, este artigo apresenta o desenvolvimento de um sistema de monitoramento em tempo real de grandezas físicas baseado em Arduino e Raspberry. O sistema completo será composto por dois módulos, “Escravo” e “Mestre” no qual a transferência de dados das medidas de temperatura, umidade, luminosidade, pressão e entre outras será realizada. O escravo, formado por sensores de baixo custo conectados à um Arduino MEGA 2560, será alocado em local remoto para aquisição das grandezas físicas desejadas. Já o Mestre, receberá as informações através de uma shield ethernet, conectada em ambos os módulos, e fará o gerenciamento de banco de dados. As informações armazenadas no servidor web poderão ser acessadas via navegador de internet, seja em sistema desktops ou móveis por meio de uma plataforma amigável em tempo real.

Rechargeable Aqueous Electrochromic Batteries Utilizing Ti-Substituted Tungsten Molybdenum Oxide Based Zn2+ Ion Intercalation Cathodes.

Batteries are used in every facet of human lives. Desirable battery architectures demand high capacity, rechargeability, rapid charging speed, and cycling stability, all within an environmentally friendly platform. Many applications are limited by opaque batteries; thus, new functionalities can be unlocked by introducing transparent battery architectures. This can be achieved by incorporating electrochromic and energy storage functions. Transparent electrochromic batteries enable new applications, including variable optical attenuators, optical switches, addressable displays, touch screen devices, and most importantly smart windows for energy-efficient buildings. However, this technology is in the incipient state due to limited electrochromic materials having satisfactory optical contrast and capacity. As such, triggering electrochromism via Zn2+ intercalation is advantageous: Zn is abundant, safe, easily processed in aqueous electrolytes and provides two electrons during redox reactions. Here, enhanced Zn2+ intercalation is demonstrated in Ti-substituted tungsten molybdenum oxide, yielding improved capacity and electrochromic performance. This technique is employed to engineer cathodes exhibiting an areal capacity of 260 mAh m-2 and high optical contrast (76%), utilized in the fabrication of aqueous Zn-ion electrochromic batteries. Remarkably, these batteries can be charged by external voltages and self-recharged by spontaneously extracting Zn2+ , providing a new technology for practical electrochromic devices.

Direct electrochemistry of cytochrome c immobilized on one dimensional Au nanoparticles functionalized magnetic N-doped carbon nanotubes and its application for the detection of H2O2

In recent years, the fabrication of noble metal functionalized magnetic carbon nanotubes for a variety of novel biosensors has aroused considerable interest owing to their synergistic improved sensitivity. In the paper, the Fe3O4 and Cu nanoparticles (NPs) were integrated into the NCNTs to obtain N-doped carbon@Fe3O4-Cu nanotubes (NCNTs@Fe3O4@Cu) through a one-pot high temperature decomposition procedure. Then, Au NPs were assembled on the magnetic NCNTs to obtain NCNTs@Fe3O4@Au composite by galvanic replacement with Cu NPs. The resultant composite had provided a friendly platform for enzyme immobilization to develop highly sensitive biosensors. After the cytochrome c(cyt c) was accumulated by NCNTs@Fe3O4@Au composite, the cyt c/NCNTs@Fe3O4@Au gathered to the surface of electrode with an external magnet. Thus, the sensitivity of designed biosensor could be further improved, and most of electrochemical interferences could be excluded. Benefiting from the unique hybrid structure of the composite, the direct electron transfer of cyt c was highly facilitated and the constructed biosensors exhibited good performance for the detection of H2O2 with an extraordinary low detection limit of 0.3 μM, which revealed potential application for fabricating novel electrochemical biosensors.

Sustainable monitoring coverage of unmanned aerial vehicle photogrammetry according to wing type and image resolution

Unmanned aerial vehicles can collect high-resolution and real-time photos while emitting fewer greenhouse gases than ordinary airplanes and therefore are considered economic and environmentally friendly platforms. However, quantitative analyses of the sustainability of using unmanned aerial vehicles for aerial photography based on their performance and technical constraints compared to that of airplanes are lacking. The purpose of this study is to analyze the economically and environmentally appropriate monitoring coverage of unmanned aerial vehicle photogrammetry according to wing type (such as fixed-wing and rotary-wing types) and desired image resolution (such as 5 cm/pix and 20 cm/pix for the ground sample distance). To determine the sustainable monitoring coverage, the total photogrammetry costs must include the social cost to reduce the emitted greenhouse gases during operation, resulting in a feedback relation. As a result, the sustainable monitoring coverage of fixed-wing unmanned aerial vehicles should be less than 27.50 km2 when the resolution is 5 cm/pix and 30.64 km2 when the resolution is 20 cm/pix. Rotary-wing unmanned aerial vehicles are sustainable when their monitoring coverage is less than 23.98 km2 at a resolution of 5 cm/pix and 26.75 km2 at a resolution of 20 cm/pix. These results provide information on the number of unmanned aerial vehicles and the standing unmanned aerial vehicle deployment plans required to monitor the survey area.

Iron‐Catalyzed C−O Bond Activation: Opportunity for Sustainable Catalysis

AbstractInvited for this month′s cover is the group of Michal Szostak at the University of Opole. The image shows how the oxygen‐based electrophiles can be merged with sustainable iron catalysis to create an environmentally friendly platform for cross‐coupling. The Minireview itself is available at 10.1002/cssc.201701287.

Degradation of Pharmaceuticals and Personal Care Products by White-Rot Fungi—a Critical Review

White-rot fungi (WRF) mediated treatment can offer an environmentally friendly platform for the removal of pharmaceuticals and personal care products (PPCPs) from wastewater. These PPCPs may have adverse impacts on aquatic organisms and even human and thus their removal during wastewater treatment is of significant interest to the water industry. Whole-cell WRF or their extracellular lignin modifying enzymes (LMEs) have been reported to efficiently degrade PPCPs that are persistent to conventional activated sludge process. WRF mediated treatment of PPCPs depends on a number of factors including physicochemical properties of PPCPs (e.g., hydrophobicity and chemical structure) and wastewater matrix (e.g., pH, temperature, and dissolved constituents), type of WRF species and their specific extracellular enzymes. This review critically analyzes the performance of whole-cell WRF and their LMEs for the removal of PPCPs; particularly, it offers insights into PPCP removal mechanisms (e.g., biosorption vs. biodegradation) and degradation pathways as well as the formation of intermediate byproducts.

ChemInform Abstract: Direct Construction of 4‐Aryl Tetralones via Visible‐Light‐Induced Cyclization of Styrenes with Molecular Oxygen.

A direct synthesis of 4-aryl tetralones from aromatic alkenes and O2 under visible light irradiation was developed. An organic dye, acridinium, was used as the photocatalyst in this transformation, providing a facile and environmentally friendly platform to generate a wide range of 4-aryl tetralones.