Reduction of ionic chemical background noise based on selective gas-phase reactions with chosen neutral reagents has been proven to be a very promising approach in liquid chromatography-mass spectrometry (LC-MS). In this study further investigations on alternative reagents including the disulfides (dimethyl disulfide, diethyl disulfide, methyl propyl disulfide), dimethyl trisulfide, ethylene oxide, and butadiene monoxide, for example, have been carried out. Tandem mass spectrometric studies of ion/molecule reactions indicate that-besides dimethyl disulfide-ethylene oxide and butadiene monoxide also exhibit very efficient reactions with background ions. Furthermore, it is confirmed that the reactions are very selective according to the test with some analyte ions. In contrast to its rapid reactions with background ions, ethylene oxide does not react, or reacts much less, with these analytes. Therefore, it can be used as an alternative reagent for noise reduction. Although reactions of the other tested neutral reagents with background ions are evaluated, they are generally not suitable as reagents for this purpose because of lack of reactivity or dramatic ion losses during reactions. ( Most hardware approaches of noise reduction [6] focused on improving ionization selectivity, declustering (desolvation) conditions, ion transmission [7], preventing contamination from ion sources and tubing, and so forth. The comprehensive tandem mass spectrometry (MS/MS) scan modes, such as selected ion monitoring, multiple reaction monitoring, neutral loss scan, product ion scan, and precursor ion scan, can further improve the MS detection specificity. However, these MS/MS techniques are generally not suitable for trace analysis of unknowns, where analyte signals are generally as low as the chemical background ions in a full-scan mode.Enhancement of the signal-to-noise ratio (S/N) can also be achieved by reducing the level of background noise. The recent application of high-field asymmetry ion mobility spectrometry (FAIMS) [8] as an interfacing technique [9] in LC-MS is also aimed at the reduction or separation of ionic chemical noise to improve sensitivity. In addition to these hardware improvements, various off-line processing software programs have been developed and implemented into some commercial systems, such as the component detection algorithm (CODA) [10], the matched filtration with experimental noise determination [11], the sequential paired covariance [12], and other noise filtration methods [13]. Other software-assisted approaches such as dynamic background subtraction [14], active chemical background noise reduction [15], and windowed mass selection [16]