Aims: Bioprospecting for lipases remains limited despite its great deal of industrial application. This study reports on the purification and characterization of a novel lipase KV1 from Acinetobacter haemolyticus strain KV1. Methodology and results: Strain KV1 was identified as A. haemolyticus using the 16S rDNA sequencing, phylogenetic and BIOLOG assessments. The intracellular lipase was purified to homogeneity using consecutive treatments of ammonium sulfate precipitation, dialysis and DEAE-cellulose ion exchange chromatography, affording ~3.5-fold of the purified lipase with an estimated relative molecular mass of 37 kDa. The PCR product of lipase KV1 revealed that the retrieved sequence contained the proposed complete lipase gene sequence at nucleic acid positions 1-954. The purified lipase exhibited its maximum relative activity at 40 °C and pH 8.0, respectively. Interestingly, the novel alkalophilic lipase KV1 retained its relative activities (> 50%) even up to 24 h between pH 7-11. Conclusion, significance and impact of study The findings revealed that relative activities of the intracellular lipase KV1 were the highest at 40 °C and pH 8.0, respectively. Pertinently, the remarkable stability of the lipase KV1 over a broad range of pH values (pH 7-11), as well as an optimum activity at 40 °C indicated it was an excellent enzyme for producing a wide range of industrial detergents, cleaning up enviro-agro-industrial wastes as well as catalysts in synthetic manufacturing processes. Therefore, its full characterization reported here deserves scientific and economic considerations.

Introduction: Accelerants and fabrics are commonly used to spread fire attributable to their highly flammable properties. Hence, having the ability to discriminate the different types of accelerants on various types of fabrics after fire and/or arson using the non-destructive Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) spectroscopy coupled with chemometric techniques appears forensically relevant. Methods: Six types of fabrics viz. cotton, wool, silk, rayon, satin, and polyester, were burnt completely with RON95 and RON97 gasoline as well as diesel. Subsequently, the samples were analyzed by ATR-FTIR spectroscopy followed by Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) for discriminating the different types of accelerants on such burned fabrics. Results: RON95 showed the fastest rate of burning on all fabric types. Results also revealed that while wool had the slowest burning rate for all the three different accelerants, polyester, cotton, and satin demonstrated the highest rate of burning in RON95, RON97, and diesel, respectively. FTIR spectra revealed the presence of alkane, alcohol, alkene, alkyne, aromatic, and amine compounds for all fabrics. The two dimensional PCA (PC1 versus PC2) demonstrated 71% of variance and it was improved by cross-validation through the three dimensional LDA technique with correct classification of 77.8%. Conclusion: ATR-FTIR spectroscopy coupled with chemometric techniques had enabled identification of the functional groups, as well as statistically supported discrimination of the different accelerants, a matter of relevance in forensic fire and arson investigations.