Magnesium Oxide-catalyzed Oxidative Depolymerization of EFB Lignin

Vania Tanda Widyaya,Huyen Thanh Vo,Deliana Dahnum,이현주 대한화학회 2016 Bulletin of the Korean Chemical Society Vol.37 No.4

Empty fruit bunch (EFB) lignin, which had been isolated by the previous sulfuric acid treatment of EFB, was oxidized in the presence of a base and air to depolymerize the solvent-insoluble lignin into smaller solvent-soluble molecules. Depending on the types of base and solvent, the yield of solvent-soluble lignin (SSL) varied, and the highest yield of 54% was obtained when MgO and ethanol were used at 150 °C with an air pressure of 500 psig for 3 h. Gel permeation chromatography analysis of the oxidized lignin showed that SSL had decreased molecular weight compared to native EFB lignin.31P NMR experiments revealed that concentrations of hydroxy group and acid group were increased by the oxidation. 2D 1H-13C HSQC NMR was performed, and it was found that the area intensities related to methoxy group and β-O-4′ unit as well as guaiacyl, oxidized syringyl, and p-hydroxybenzoate group were decreased by the oxidation.

Empty fruit bunch-lignin depolymerization through aerobic oxidation assisted by magnesium oxide

( Vania Tanda Widyaya ),이현주 한국공업화학회 2014 한국공업화학회 연구논문 초록집 Vol.2014 No.1

Oxidative depolymerization of empty fruit bunch (EFB)-lignin was carried out in the presence of MgO with mass ratio of EFB:MgO = 1:1. Reaction was conducted for 3 h at 150°C under 500 psi of air. Four reaction medium (THF, H₂O, CH₃CN, EtOH) were examined. The effect of MgO and O₂ presence was also investigated. Small amount of volatile fractions including phenol, syringol, vanillin, and syringaldehyde were detected by GC-MS. Structural change of EFB lignin was characterized using FT-IR and 2D HSQC NMR.

Poster Session : PS 0653 ; Respiratory Medicine ; Organizing Pneumonia and Cytomegalovirus Infection

( Vania Gomes ),( Rosa Macedo Carvalho ),( Maria Joao Ferreira Da Silva ),( Ceu Rodrigues ),( Antonio Oliveira E Silva ) 대한내과학회 2014 대한내과학회 추계학술대회 Vol.2014 No.1

Objective: Organizing pneumonia is a diffuse interstitial lung disease. Secondary organizing pneumonia can be seen in association with various diseases, including infections. Cytomegalovirus (CMV) is a human herpesvirus that has as peculiar characteristic its capacity of latency. The clinical disease is rare in immunocompetents individuals. Methods: Revision of one clinical case. Results: A 54 years old male, with known diabetes mellitus, was admitted to the emergency room due to rest dyspnoea, productive cough and fever. These symptoms were preceded by the acute onset of a fi u-like illness with odynophagia, nonproductive cough, diarrheal stools and fatigue. He was discharged with empiric antibiotics and low dose prednisolone. On the seventh day, he was readmitted with persistent fever, mild hemoptysis and pleuritic bilateral chest pain. He presented hypoxemic with severe acute respiratory failure, requiring noninvasing ventilation. The chest radiograph revealed bilateral, diffuse and consolidative opacities. Different antibiotics were started. There was no microbiological isolation. As an inpatient, he improved clinically and was discharged after 17 days. After fi ve days, he was readmitted with the same clinical picture. The high resolution computerized axial tomography showed extensive bilateral disease consistent with organizing pneumonia: small nodular opacities in a subpleural location, patchy air-space consolidation and ground glass diffuse opacities. He was medicated with prednisolone 1mg/kg/day. Viral serologies were performed and revealed active acute infection with CMV. The bronchoalveolar lavage showed a predominance of lymphocytes and CMV was isolated. He began oral valciclovir and was discharged after 10 days with no symptoms. After 4 weeks, the dose of glucocorticoid was tapered, the patient remained asymptomatic and serological conversion of CMV titles was confi rmed. Conclusions: We describe a rare case of organizing pneumonia in a diabetic male who was pharmacology immunosuppressed after initial symptoms. As the patient improved, no lung biopsy was performed.

Biochemical Characterization of Tannases from Paecilomyces variotii and Aspergillus niger

Vania Battestin,Gustavo Adolfo Saavedra Pinto,Gabriela Alves Macedo 한국식품과학회 2007 Food Science and Biotechnology Vol.16 No.2

Grape juice by-products extracted by ultrasound and microwave-assisted with different solvents: a rich chemical composition

Vania Pezzini,Fabiana Agostini,Franco Smiderle,Luciana Touguinha,Mirian Salvador,Sidnei Moura 한국식품과학회 2019 Food Science and Biotechnology Vol.28 No.3

By-products of the grape juice industry containvaluable compounds. The current work produced bioactive-enriched extracts from by-products of the grape juice,through three different extraction methods. Yields andchemical compositions varied, according to the extractionmethod (ultrasound, microwave, liquid–liquid). High-efficiencyliquid chromatography with UV–Vis and high-resolutionmass spectrometry characterised were used forchemical characterization, with glycosylated flavonoidsevident. The crude extract was fractionated by open column,which has possibility carried-out fraction rich inresveratrol. The inhibition of DPPH radicals ranged from14.2 to 74.2%, and the total phenolic content ranged from0.1 to 107.0 mg gallic acid equivalents/100 g. Microwaveassistedextraction of grape juice by-products using polarsolvents, such as ethanol and water, provided the best yieldand chemical composition, obtaining extracts rich in flavonoids. In this way, this work has demonstrated theindustrial grape by-products importances, which are a richsource of antioxidants if properly extracted.

A Peculiar Case of Ischemic Fasciitis Appeared on a Pressure Ulcer after 10 Days of Negative Pressure Wound Therapy

Vania Recchi,Benedetta Peltristo,Davide Talevi,Alessandro Scalise,Giovanni Di Benedetto 대한성형외과학회 2022 Archives of Plastic Surgery Vol.49 No.5

In this article, we reported a single case of ischemic fasciitis in a young woman with a progressive immobilization due to a multifocal demyelinating disease of central nervous system, which appeared on an extensive pressure ulcer of the sacral region treated with 10 days of negative-pressure wound therapy (NPWT). Wound examination revealed a significant nontender brown neoformation (9 cm in length × 10 cm in width × 7 cm in height), fixed to the sacrum, presenting hard consistency, and grown in the central portion of the sacral pressure sore. The histologic examination showed central fibrinoid necrosis, and vascular and atypical fibroblastic proliferations, and a diagnosis of ischemic fasciitis was made. Ischemic fasciitis is a rare benign proliferation of atypical fibroblasts that occurs in physically weak patients with reduced mobility. In the literature, the relationship between the use of NPWT on pressure ulcers and the development of ischemic fasciitis is, to the best of our knowledge, not described yet.

Intervertebral disc instance segmentation using a multistage optimization mask-RCNN (MOM-RCNN)

Vania Malinda,Lee Deukhee 한국CDE학회 2021 Journal of computational design and engineering Vol.8 No.4

Lower back pain is one of the major global challenges in health problems. Medical imaging is rapidly taking a predominant position for the diagnosis and treatment of lower back abnormalities. Magnetic resonance imaging (MRI) is a primary tool for detecting anatomical and functional abnormalities in the intervertebral disc (IVD) and provides valuable data for both diagnosis and research. Deep learning methods perform well in computer visioning when labeled general image training data are abundant. In the practice of medical images, the labeled data or the segmentation data are produced manually. However, manual medical image segmentation leads to two main issues: much time is needed for delineation, and reproducibility is called into question. To handle this problem, we developed an automated approach for IVD instance segmentation that can utilize T1 and T2 images during this study to handle data limitation problems and computational time problems and improve the generalization of the algorithm. This method builds upon mask-RCNN; we proposed a multistage optimization mask-RCNN (MOM-RCNN) for deep learning segmentation networks. We used a multi-optimization training system by utilizing stochastic gradient descent and adaptive moment estimation (Adam) with T1 and T2 in MOM-RCNN. The proposed method showed a significant improvement in processing time and segmentation results compared to previous commonly used segmentation methods. We evaluated the results using several different key performance measures. We obtain the Dice coefficient (99%). Our method can define the IVD’s segmentation as much as 88% (sensitivity) and recognize the non-IVD as much as 98% (specificity). The results also obtained increasing precision (92%) with a low global consistency error (0.03), approaching 0 (the best possible score). On the spatial distance measures, the results show a promising reduction from 0.407 ± 0.067 mm in root mean square error to 0.095 ± 0.026 mm, Hausdorff distance from 12.313 ± 3.015 to 5.155 ± 1.561 mm, and average symmetric surface distance from 1.944 ± 0.850 to 0.49 ± 0.23 mm compared to other state-of-the-art methods. We used MRI images from 263 patients to demonstrate the efficiency of our proposed method.

Importance of Synchronised MRCP and Intraoperative Cholangiogram (IOC) in Living Donor Liver Transplantation (LDLT): Indonesian Single Centre Experience

( Vania Myralda G Marbun ),( Toar Jm Lalisang ) 대한간학회 2020 춘·추계 학술대회 (KASL) Vol.2020 No.1

Aims: LDLT are obtained from MRCP and IOC. Bile leakage as one of the important complications can be minimised by detail acknowledgment of biliary anatomy by combining MRCP and IOC. This study aims to review donors’ biliary anatomy and the impact of the acknowledgment to technique and duration. Methods: This single centre retrospective study included 46 adult-to-pediatric and 7 adult-to-adult LDLTs performed in Cipto Mangunkusumo Hospital from 2010-2019. All patients were performed MRCP then synchronised with IOC. All results were classified by Huang Classification. Demographic data, surgical technique, duration, and radiologic discrepancy were collected. Results: There are 34 cholangiographies out of 53 LDLTs. No biliary complications detected. Forty-nine donors underwent left-lateral sectionectomy and 4 right hepatectomy. Operative duration ranged from 270-600 minutes. The frequency of each type on MRCP/IOC are as follows: Huang A1 40,5%/35,1%; Huang A2 37,8%;37,8%; Huang A3 13,5%/18,9%; Huang A4 5,4%/8,1%; and Huang A5 2,7%/0. Huang A1 has the shortest operative duration and the least blood loss (70cc). Huang A3 has the longest operative duration with the most blood loss (900cc). Discrepancy were found in 6 patients of which 2 underwent longest operative duration and lost the most blood. Conclusions: Synchronised MRCP and IOC decrease operative duration therefore associated with better outcome. Low discrepancy showed that surgeon does not require nephrotoxic contrast media used in IOC hence reducing surgical duration except for rare cases like Huang A4 and A5 to avoid ligation of major intrahepatic duct.

Automatic spine segmentation from CT images using Convolutional Neural Network via redundant generation of class labels

Malinda Vania,Dawit Mureja,Deuk-Hee Lee 한국CDE학회 2019 Journal of computational design and engineering Vol.6 No.2

There has been a significant increase from 2010 to 2016 in the number of people suffering from spine problems. The automatic image segmentation of the spine obtained from a computed tomography (CT) image is important for diagnosing spine conditions and for performing surgery with computer-assisted surgery systems. The spine has a complex anatomy that consists of 33 vertebrae, 23 intervertebral disks, the spinal cord, and connecting ribs. As a result, the spinal surgeon is faced with the challenge of needing a robust algorithm to segment and create a model of the spine. In this study, we developed a fully auto-matic segmentation method to segment the spine from CT images, and we compared our segmentation results with reference segmentations obtained by well-known methods. We use a hybrid method. This method combines the convolutional neural network (CNN) and fully convolutional network (FCN), and utilizes class redundancy as a soft constraint to greatly improve the segmentation results. The proposed method was found to significantly enhance the accuracy of the segmentation results and the system pro-cessing time. Our comparison was based on 12 measurements: the Dice coefficient (94%), Jaccard index (93%), volumetric similarity (96%), sensitivity (97%), specificity (99%), precision (over segmentation 8.3 and under segmentation 2.6), accuracy (99%), Matthews correlation coefficient (0.93), mean surface dis-tance (0.16 mm), Hausdorff distance (7.4 mm), and global consistency error (0.02). We experimented with CT images from 32 patients, and the experimental results demonstrated the efficiency of the pro-posed method.

Land Use Type as a Factor for Carbon Accumulation in Urban Soils from Elements of Green Infrastructure

Miglena Zhiyanski,Vania Doichinova 한국토양비료학회 2014 한국토양비료학회 학술발표회 초록집 Vol.2014 No.6