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Agarose hydrogel-enhanced paper spray ionization mass spectrometry was developed to quantify therapeutic drugs, and profile endogenous metabolites in raw urine.

Native mass spectrometry, which takes a high concentration of ammonium acetate (NH4OAc) for ionization, coupled with tedious and solvent-consuming purification, which separates proteins from complicated environments, has shown great potential for proteins and their complexes. A high level of nonvolatile salts in the endogenous intracellular environment results in serious ion suppression and has been one of the bottlenecks for native mass spectrometry, especially for protein complexes. Herein, an integrated protocol utilizing the inner surface of a micropipette for rapid purification, desorption, and ionization of peptide–metal interaction at subfemtomole level in cell lysate was demonstrated for native mass spectrometry. The methods showed robust and reproducibility in protein measurement within 1 min from various buffers. The E. coli cells expressing with various proteins were lysed and used to test our method. The specific interaction between the peptide–metal complex in cell lysates could be reserved and distinguished by mass spectrometry.

Rapid monitoring of real bacterial metabolic perturbations to antibiotics may be helpful to better understand the mechanisms of action and more targeted treatment. In this study, the real metabolic responses to antibiotic treatment in living bacteria were profiled rapidly by induced electrospray ionization mass spectrometry. Significant metabolic perturbations were profiled after antibiotic treatment compared with untreated bacteria. Similar and unique metabolic responses were observed with different antibiotic treatments. Further multivariable analysis was performed to determine significant metabolites as potential biomarkers. Moreover, different metabolic disturbances were detected for serial dilutions of antibiotic treatments. Overall, combined with induced electrospray ionization mass spectrometry, the rapid and real bacterial metabolic status caused by antibiotics was monitored, suggesting the potential application of our method in mechanism exploration and clinical diagnosis.

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