PRA RANCANGAN PABRIK DETERJEN BUBUK DARI ALKYLBENZENE DAN OLEUM DENGAN KAPASITAS PRODUKSI 40.000 TON/TAHUN

ABSTRAKPrarancangan pabrik Deterjen Bubuk ini menggunakan bahan baku alkylbenzene dan Oleum 20%. Alkylbenzene diperoleh dari PT. Unggul Indah Cahaya, sementara Oleum 20% diperoleh dari PT Indonesian Acids Industry. Kapasitas produksi pabrik ini adalah 40.000 Ton/Tahun dengan hari kerja 330 hari/tahun. Bentuk perusahaan yang direncanakan adalah Perseroan Terbatas (PT) dengan menggunakan metode struktur garis dan staf. Kebutuhan tenaga kerja untuk menjalankan perusahaan ini berjumlah 143 orang. Lokasi pabrik direncanakan didirikan di Desa Gerem, Kecamatan Pulomerak, Kota Cilegon, Banten, dengan luas tanah 10.000 m2. Sumber air pabrik ini berasal dari Sungai Ciujung, Kota Cilegon, Banten dengan total kebutuhan air sebesar 42617,86 kg/jam, serta untuk memenuhi kebutuhan listrik sebesar 1,3 MW diperoleh dari generator diesel. Hasil analisa ekonomi yang diperoleh adalah sebagai berikut : 1.Fixed Capital Investment (FCI)= Rp. 119.367.004.7402.Working Capital Investment (WCI)= Rp. 56.403.749.5443.Total Capital Investment (TCI)= Rp. 175.770.754.2844.Total Production Cost (TPC)= Rp. 676.844.994.5255.Sales Cost (SC)= Rp. 748.000.000.0006.Laba Bersih= Rp. 53.366.254.1067.Pay Out Time (POT)= 4,5 tahun 8.Break Event Point (BEP)= 54%9.Internal Rate of Return (IRR)= 22

An in silico MS/MS library for automatic annotation of novel FAHFA lipids.

BackgroundA new lipid class named 'fatty acid esters of hydroxyl fatty acids' (FAHFA) was recently discovered in mammalian adipose tissue and in blood plasma and some FAHFAs were found to be associated with type 2 diabetes. To facilitate the automatic annotation of FAHFAs in biological specimens, a tandem mass spectra (MS/MS) library is needed. Due to the limitation of the commercial available standard compounds, we proposed building an in silico MS/MS library to extend the coverage of molecules.ResultsWe developed a computer-generated library with 3267 tandem mass spectra (MS/MS) for 1089 FAHFA species. FAHFA spectra were generated based on authentic standards with negative mode electrospray ionization and 10, 20, and 40 V collision induced dissociation at 4 spectra/s as used in in ultra-high performance liquid chromatography-QTOF mass spectrometry studies. However, positional information of the hydroxyl group is only obtained either at lower QTOF spectra acquisition rates of 1 spectrum/s or at the MS(3) level in ion trap instruments. Therefore, an additional set of 4290 fragment-rich MS/MS spectra was created to enable distinguishing positional FAHFA isomers. The library was generated based on ion fragmentations and ion intensities of FAHFA external reference standards, developing a heuristic model for fragmentation rules and extending these rules to large swaths of computer-generated structures of FAHFAs with varying chain lengths, degrees of unsaturation and hydroxyl group positions. Subsequently, we validated the new in silico library by discovering several new FAHFA species in egg yolk, showing that this library enables high-throughput screening of FAHFA lipids in various biological matrices.ConclusionsThe developed library and templates are freely available for commercial or noncommercial use at http://fiehnlab.ucdavis.edu/staff/yanma/fahfa-lipid-library. This in silico MS/MS library allows users to annotate FAHFAs from accurate mass tandem mass spectra in an easy and fast manner with NIST MS Search or PepSearch software. The developing template is provided for advanced users to modify the parameters and export customized libraries according to their instrument features. Graphical abstractExample of experimental and in silico MS/MS spectra for FAHFA lipids

Strategic planning to build transformational preparedness : an application of enterprise architecture practice

Enterprises are continuously evolving systems; this evolution can be directed or emergent. Enterprise transformation has special aspects due to the enterprise being a socio-technical system whereupon evolution happens on the levels of individuals / humans / organisation, on the level of the technology and on the level of the Information Systems that integrates the activities performed by humans and by technology. Furthermore, changes are typically continuous, due partly to external factors and partly to strategic foresights. Either way, transformation needs to happen so that the enterprise can keep satisfying its objectives. An important transformation mechanism is to perform mergers or acquisitions (M&amp;As). Interestingly, literature reveals that an unacceptably high percentage of M&amp;As do not achieve the aimed objectives and (as we demonstrate) the success of such trajectory depends on several factors. This article proposes a methodology to overcome potential problems by making necessary anticipatory transformations opening up a possibility to perform M&amp;As with a better chance of success.<br /

Holographic Data Storage Technology- The future of Data Storage

In the present times technological advancement has grown at rapid rate. Today most of the people are using smart devices which comprises of various kinds of technologies. One of the most important factor in using technology is to store digital data. Presently most of the work are done using digital devices such as computers and mobiles and people need to store their data in devices but the device has limited amount of storage. So need arises to store more amount of data using less space. For this purpose we need to invent storage technologies which helps people to store more amount of data. In order to meet demands of greater storage there are various storage technologies such as different types of ROM, optical storage discs, USB flash drives which uses different technologies to store data. This paper focuses on Holographic data storage technology which helps people to store large amount of data

A comparison of intrathecal dexmedetomidine and clonidine as adjuvants to hyperbaric bupivacaine for gynecological surgery

Background: Various adjuvants are being used with local anesthetics for prolongation of intraoperative and post-operative analgesia. Dexmedetomidine, a highly selective alpha2 adrenergic agonist, is a new neuraxial adjuvant gaining popularity. The purpose of this study was to compare the onset, duration of sensory and motor block, hemodynamic effects, post-operative analgesia, and adverse effects of dexmedetomidine and clonidine with hyperbaric 0.5% bupivacaine for spinal anesthesia.Methods: 60 patients belonging to ASA Grade 1 and 2 undergoing elective gynecological surgery under spinal anesthesia were studied in this prospective. The patients were allocated in two groups (30 patients each). Group bupivacaine + clonidine (BC) received 17.5 mg of bupivacaine supplemented 45 mcg clonidine and Group bupivacaine + dexmedetomidine (BD) received 17.5 mg bupivacaine supplemented 5 mcg dexmedetomidine. The onset time of sensory and motor level, time to reach peak sensory and motor level, the regression time of sensory and motor level, hemodynamic changes, and side effects were recorded.Results: Patients in Group BD had significantly longer sensory and motor block time than patients in Group BC. The onset time to reach dermatome T4 and modified Bromage3 motor block were not significantly different between two groups. Dexmedetomidine group showed significantly less and delayed requirement of rescue analgesic.Conclusion: Intrathecal dexmedetomidine is associated with prolonged motor and sensory block, hemodynamic stability and reduced demand of rescue analgesic in 24 hrs as compared to clonidine

How Well Can We Predict Mass Spectra from Structures? Benchmarking Competitive Fragmentation Modeling for Metabolite Identification on Untrained Tandem Mass Spectra

Competitive Fragmentation Modeling for Metabolite Identification (CFM-ID) is a machine learning tool to predict in silico tandem mass spectra (MS/MS) for known or suspected metabolites for which chemical reference standards are not available. As a machine learning tool, it relies on both an underlying statistical model and an explicit training set that encompasses experimental mass spectra for specific compounds. Such mass spectra depend on specific parameters such as collision energies, instrument types, and adducts which are accumulated in libraries. Yet, ultimately prediction tools that are meant to cover wide expanses of entities must be validated on cases that were not included in the initial training and testing sets. Hence, we here benchmarked the performance of CFM-ID 4.0 to correctly predict MS/MS spectra for spectra that were not included in the CFM-ID training set and for different mass spectrometry conditions. We used 609,456 experimental tandem spectra from the NIST20 mass spectral library that were newly added to the previous NIST17 library version. We found that CFM-ID's highest energy prediction output would maximize the capacity for library generation. Matching the experimental collision energy with CFM-ID's prediction energy produced the best results, even for HCD-Orbitrap instruments. For benzenoids, better MS/MS predictions were achieved than for heterocyclic compounds. However, when exploring CFM-ID's performance on 8,305 compounds at 40 eV HCD-Orbitrap collision energy, &gt;90% of the 20/80 split test compounds showed &lt;700 MS/MS similarity score. Instead of a stand-alone tool, CFM-ID 4.0 might be useful to boost candidate structures in the greater context of identification workflows

Alternative Identification of Glycosides Using MS/MS Matching with an In Silico-Modified Aglycone Mass Spectra Library

Glycosylation of metabolites serves multiple purposes. Adding sugars makes metabolites more water soluble and improves their biodistribution, stability, and detoxification. In plants, the increase in melting points enables storing otherwise volatile compounds that are released by hydrolysis when needed. Classically, glycosylated metabolites were identified by mass spectrometry (MS/MS) using [M-sugar] neutral losses. Herein, we studied 71 pairs of glycosides with their respective aglycones, including hexose, pentose, and glucuronide moieties. Using liquid chromatography (LC) coupled to electrospray ionization high-resolution mass spectrometry, we detected the classic [M-sugar] product ions for only 68% of glycosides. Instead, we found that most aglycone MS/MS product ions were conserved in the MS/MS spectra of their corresponding glycosides, even when no [M-sugar] neutral losses were observed. We added pentose and hexose units to the precursor masses of an MS/MS library of 3057 aglycones to enable rapid identification of glycosylated natural products with standard MS/MS search algorithms. When searching unknown compounds in untargeted LC-MS/MS metabolomics data of chocolate and tea, we structurally annotated 108 novel glycosides in standard MS-DIAL data processing. We uploaded this new in silico-glycosylated product MS/MS library to GitHub to enable users to detect natural product glycosides without authentic chemical standards