Demonstration of adapted packed-bed bioreactor for accurate and rapid estimation of biochemical oxygen demand: insights into the influence of microbial community structure and functions.

This study demonstrated a novel approach to accurately estimate 5-day biochemical oxygen demand (BOD) in textile wastewater using a microbial consortium from food processing wastewater fixed on coconut fibers. Although glucose-glutamic acid (GGA) has been widely known as the most preferred substrates for microbial respiration, its calibration surprisingly resulted in an overestimation of BOD in textile wastewater due to its lower utilization rate compared to that of textile wastewater. After being adapted with a new nutrient environment composed of GGA and textile wastewater, the adapted packed-bed bioreactors (PBBRs) was capable of accurate estimation of BOD in textile wastewater using GGA standard solution.

Development of a bioreactor with an integrated non-dispersive infrared CO sensor for rapid and sensitive detection of Cr(VI) toxicity in water.

Whole-cell bioreactors equipped with external physico-chemical sensors have gained attention for real-time toxicity monitoring. However, deploying these systems in practice is challenging due to potential interference from unknown wastewater constituents with liquid-contacted sensors. In this study, a novel approach using a bioreactor integrated with a non-dispersive infrared CO₂ sensor for both toxicity detection and real-time monitoring of microbial growth phases was successfully demonstrated.

Enhanced prediction of beta-secretase inhibitory compounds with mol2vec technique and machine learning algorithms.

A comprehensive computational strategy that combined QSAR modelling, molecular docking, and ADMET analysis was used to discover potential inhibitors for β-secretase 1 (BACE-1). A dataset of 1,138 compounds with established BACE-1 inhibitory activities was used to build a QSAR model using mol2vec descriptors and support vector regression. The obtained model demonstrated strong predictive performance (training set:  = 0.

 (Poaceae, Bambusoideae), a new species from southern Vietnam.

from Vietnam is described and illustrated. It is found in southern Vietnam, where it occurs at an elevation of 1400-1500 m in Voi Mountain, Duc Trong District, Lam Dong Province. This new species is distinguished from a similar species, , by culm nodes with a thick swollen patella, culm leaf blades erect, auricles conspicuous, margins bearing long hairs, palea dorsal view showing rachilla extension and rudimentary floret at the apex and lodicules purple gradually towards the top.