Protocol for Quantitative Estimation of Hydrogen Cyanide Production from Bacteria
Hydrogen cyanide (HCN) is a volatile, nitrogen-containing secondary metabolite produced by various bacterial species, primarily during the idiophase of growth under nutrient-limiting or competitive conditions. It plays a significant ecological role as a biocontrol agent by inhibiting the respiratory enzymes of plant pathogens and modulating microbial competition in the rhizosphere. Although protocols for detecting HCN production have existed for over a century, they have largely remained qualitative and are rarely optimized for quantitative assessment. This is mainly due to the volatile nature of HCN, unidentified stable reference standards, and the absence of a robust, universally accepted protocol that ensures consistency across diverse microbial types. In this study, we present a simplified and efficient colorimetric method to quantify HCN production in both Gram-positive and Gram-negative bacteria. Qualitatively, HCN production was observed by a color change due to the isopurpurate complex. This compound was then eluted and quantified by measuring absorbance at 625 nm. The method uses potassium ferrocyanide as a standard, whose slow dissociation constant enables a stable and controlled release of cyanide ions for calibration, unlike highly dissociative salts like KCN that introduce early volatilization errors. This protocol demonstrated high sensitivity, capable of detecting HCN at concentrations as low as ppm levels, with strong correlation to the standard curve (R2 > 0.99). Achieving such sensitivity with other conventional methods, such as gas detection tubes or electrochemical sensors, often requires more sophisticated instrumentation and strict handling conditions. In contrast, this approach offers a cost-effective, reproducible, and user-friendly alternative. While a universally adopted method is still lacking due to standardization challenges and HCN volatility, the proposed protocol marks a significant advancement toward accurate and accessible quantitative assessment in microbiological and agricultural applications.
Quantification of Duloxetine in the Bacterial Culture and Medium to Study Drug-gut Microbiome Interactions
Expanding our understanding of drug-gut bacteria interactions requires high-throughput drug measurements in complex bacterial cultures. Quantification of drugs in the cultures, media, and cell pellets is prone to strong matrix effects. We have developed a liquid chromatography–high resolution mass spectrometry (LC–HRMS) method for quantifying duloxetine from high-throughput gut-drug interaction experiments. The method is partially validated for its reproducibility, sensitivity, and accuracy, which makes it suitable for largescale drug screens. We extensively used this method to study biotransformation and bioaccumulation of duloxetine and other drugs in several species of gut bacteria.
A SsrA/NIa-based Strategy for Post-Translational Regulation of Protein Levels in Gram-negative Bacteria
Sulfatase Assay to Determine Influence of Plants on Microbial Activity in Soil
Steady-state and Flux-based Trehalose Estimation as an Indicator of Carbon Flow from Gluconeogenesis or Glycolysis
I Plate-based Assay for Studying How Fungal Volatile Compounds (VCs) Affect Plant Growth and Development and the Identification of VCs via SPME-GC-MS
Soluble and Solid Iron Reduction Assays with Desulfitobacterium hafniense
Enzymatic Activity Assay for Invertase in Synechocystis Cells
Quantification of Hydrogen Sulfide and Cysteine Excreted by Bacterial Cells
Determination of Intracellular Osmolytes in Cyanobacterial Cells