Penyelenggaraan struktur penahan cerun rock shed: langkah mitigasi runtuhan tanah di Simpang Pulai - Blue Valley, Perak

Industri pembinaan merupakan industri yang sangat mencabar bukan sahaja di Malaysia malah di seluruh dunia yang merangkumi skop 3D dirty, difficult and dangerous. Industri ini juga meruapakan antara penyumbang terbesar KDNK iaitu sebanyak 7.4 peratus pada tahun 2016, walaupun industri ini antara penyumbang terbesar dari aspek keselamatan iaitu kemalangan (CIDB, 2017). Justeru itu, pihak yang bertanggungjawab seharusnya memandang serius mengenai masalah-masalah yang dihadapi supaya industri ini mampu bersaing di peringkat antarabangsa

Removal of cu2+ using utricularia aurea as a biosorbent in synthetic industrial wastewater/ Nor Azliza Akbar

Biosorption of copper ions (Cu2+) using Utricularia Aurea has been investigated as a function of pH, contact time and particle size of the biosorbent. A series of batch equilibrium adsorption study was conducted to determine the effect of varied pH from pH 2, 4, 7, and 9, contact time at 30, 60, 90 and 120 minutes, biosorbent particle size ranging from 150 µm, 300 µm, 450 µm and 600 µm at an agitation speed of 125 rpm using Utricularia aurea (U. Aurea). Based on the optimization study, it was found that the optimum removal of Cu2+ (>90%) occurred at pH4, contact time of 40 minutes and particle size of 450µm. Atomic Absorption Spectrometer was used to analyse the concentration of Cu2+ in the sample. A kinetic study on Cu2+ adsorption onto U.Aurea was analysed using pseudo-first order and pseudo second order kinetic models. Based on the kinetic study analysis, the adsorption of Cu2+ followed pseudo- second order kinetic which r2 was greater than 0.99 rather than pseudo- first order kinetic models. Thus, Utricularia Aurea can be an alternative as a new adsorbent media in treating heavy metals contaminated for industrial wastewater

Biochemical characterisation and structure determination of a novel cold-active Proline iminopeptidase from the Psychrophilic yeast, Glaciozyma antarctica PI12

Microbial proteases constitute one of the most important groups of industrially relevant enzymes. Proline iminopeptidases (PIPs) that specifically release amino-terminal proline from peptides are of major interest for applications in food biotechnology. Proline iminopeptidase has been extensively characterised in bacteria and filamentous fungi. However, no similar reports exist for yeasts. In this study, a protease gene from Glaciozyma antarctica designated as GaPIP was cloned and overexpressed in Escherichia coli. Sequence analyses of the gene revealed a 960 bp open reading frame encoding a 319 amino acid protein (35,406 Da). The purified recombinant GaPIP showed a specific activity of 3561 Umg−1 towards L-proline-p-nitroanilide, confirming its identity as a proline iminopeptidase. GaPIP is a cold-active enzyme with an optimum activity of 30◦ C at pH 7.0. The enzyme is stable between pH 7.0 and 8.0 and able to retain its activity at 10–30◦ C. Although GaPIP is a serine protease, only 25% inhibition by the serine protease inhibitor, phenylmethanesulfonylfluoride (PMSF) was recorded. This enzyme is strongly inhibited by the presence of EDTA, suggesting that it is a metalloenzyme. The dimeric structure of GaPIP was determined at a resolution of 2.4 Å. To date, GaPIP is the first characterised PIP from yeasts and the structure of GaPIP is the first structure for PIP from eukaryotes

In silico characterisation of the glaciozyma antarctica genome: mining the molecular chaperones

Glaciozyma antarctica is a psychrophilic yeast isolated from the Antarctic sea ice. In this study, we performed a de novo characterisation of molecular chaperones from G. antarctica genome datasets. A total of 7857 genes that code for various types of proteins have been predicted from the G. antarctica genome sequence. From these genes, we identified 89 possible molecular chaperones that matched known molecular chaperones from other organisms available in various databases such as Uniprot, Gene Ontology, cpnDB and NCBI. For an in-depth analysis of molecular functions, we used homologous clustering to transfer knowledge from unknown to known functions using Cluster Analysis of Sequences (CLANS) bioinformatics software. The results reveal 12 major groups of chaperones that contribute to the cold-adaptation mechanism through their molecular function, biological processes and cellular components. The findings lay the foundation for future functional genomics studies on this organism and shed light on how lower eukaryotic cells respond to low temperatur