Potential of Bacteriocins from Lactobacillus taiwanensis for Producing Bacterial Ghosts as a Next Generation Vaccine.

Bacteriocins are functionally diverse toxins produced by most microbes and are potent antimicrobial peptides (AMPs) for bacterial ghosts as next generation vaccines. Here, we first report that the AMPs secreted from Lactobacillus taiwanensis effectively form ghosts of pathogenic bacteria and are identified as diverse bacteriocins, including novel ones. In detail, a cell-free supernatant from L. taiwanensis exhibited antimicrobial activities against pathogenic bacteria and was observed to effectively cause cellular lysis through pore formation in the bacterial membrane using scanning electron microscopy (SEM). The treatment of the cell-free supernatant with proteinase K or EDTA proved that the antimicrobial activity is mediated by AMPs, and the purification of AMPs using Sep-Pak columns indicated that the cell-free supernatant includes various amphipathic peptides responsible for the antimicrobial activity. Furthermore, the whole-genome sequencing of L. taiwanensis revealed that the strain has diverse bacteriocins, confirmed experimentally to function as AMPs, and among them are three novel bacteriocins, designated as Tan 1, Tan 2, and Tan 3. We also confirmed, using SEM, that Tan 2 effectively produces bacterial ghosts. Therefore, our data suggest that the bacteriocins from L. taiwanensis are potentially useful as a critical component for the preparation of bacterial ghosts.

Functional Chemical Components in Protaetia brevitarsis Larvae: Impact of Supplementary Feeds.

The goal of this study was to evaluate the influence of various supplementary feeds on the chemical composition and production of bioactive substances in Protaetia brevitarsis larvae. The primary feed-oak-fermented sawdust-was supplemented with a variety of substances, including aloe, apple, banana, sweet persimmon (S. persimmon) and sweet pumpkin (S. pumpkin). Crude protein and fat content were the highest in the control and S. pumpkin group, respectively. Supplementary feeds increased the content of unsaturated fatty acids, except in the group receiving S. pumpkin, in which oleic acid was the most abundant (58.2%-64.5%). Free essential amino acids in larvae receiving supplementary aloe were higher compared with the control group except for Lys and His. Polyphenol and flavonoid contents and the antioxidant activities of ABTS and DPPH were higher in all treated groups compared with the control group. Although supplementary feeds led to a decreased crude protein content in the treated larvae when compared with the control group, these treatments generally improved the levels of unsaturated fatty acids and antioxidative activity. Therefore, we suggest that among the supplementary foods tested, aloe is a better resource for P. brevitarsis based on crude protein content, free amino acids and other bioactive compounds such as unsaturated fatty acids and antioxidants.

Dynamic calibration for the in-line NIR monitoring of film thickness of pharmaceutical tablets processed in a fluid-bed coater.

NIR spectroscopy has been extensively employed for the in-line monitoring of pharmaceutical processes as one of the key PAT implementation tools. Nevertheless, pharmaceutical processes such as fluid-bed coating have not fully made the most of the NIR in-line monitoring primarily due to a difficulty in handling random in-line spectra. In this study, novel approaches to develop a reasonable dynamic calibration model were proposed; averaging and clustering. Pharmaceutical test tablets were coated with HPMC-based materials using a fluid-bed processor. During the 160 min coating process under tangential spraying mode, 10 tablets were sampled out at every 10 min mark for actual coating thickness measurements. NIR spectra at and near each 10 min mark were treated and processed by the averaging and clustering operations. Averaging of 21 spectra resulted in a reasonably good dynamic calibration model whose determination coefficient was estimated as high as 0.9916. The PCA-based clustering turned out to be substantially helpful especially when a large number of NIR spectra were averaged. A prediction experiment verified that our dynamic calibration model can control the coating thickness in-line as good as 3% deviated from the actual thickness, which can offer a reasonable end-point for the fluid-bed coating process.