Identification and absolute quantification of enzymes in laundry detergents by liquid chromatography tandem mass spectrometry.

In a stricter legislative context, greener detergent formulations are developed. In this way, synthetic surfactants are frequently replaced by bio-sourced surfactants and/or used at lower concentrations in combination with enzymes. In this paper, a LC-MS/MS method was developed for the identification and quantification of enzymes in laundry detergents. Prior to the LC-MS/MS analyses, a specific sample preparation protocol was developed due to matrix complexity (high surfactant percentages). Then for each enzyme family mainly used in detergent formulations (protease, amylase, cellulase, and lipase), specific peptides were identified on a high resolution platform. A LC-MS/MS method was then developed in selected reaction monitoring (SRM) MS mode for the light and corresponding heavy peptides. The method was linear on the peptide concentration ranges 25-1000 ng/mL for protease, lipase, and cellulase; 50-1000 ng/mL for amylase; and 5-1000 ng/mL for cellulase in both water and laundry detergent matrices. The application of the developed analytical strategy to real commercial laundry detergents enabled enzyme identification and absolute quantification. For the first time, identification and absolute quantification of enzymes in laundry detergent was realized by LC-MS/MS in a single run. Graphical Abstract Identification and quantification of enzymes by LC-MS/MS.

Overcoming biofluid protein complexity during targeted mass spectrometry detection and quantification of protein biomarkers by MRM cubed (MRM3).

Targeted mass spectrometry in the so-called multiple reaction monitoring mode (MRM) is certainly a promising way for the precise, accurate, and multiplexed measurement of proteins and their genetic or posttranslationally modified isoforms. MRM carried out on a low-resolution triple quadrupole instrument faces a lack of specificity when addressing the quantification of weakly concentrated proteins. In this case, extensive sample fractionation or immunoenrichment alleviates signal contamination by interferences, but in turn decreases assay performance and throughput. Recently, MRM(3) was introduced as an alternative to MRM to improve the limit of quantification of weakly concentrated protein biomarkers. In the present work, we compare MRM and MRM(3) modes for the detection of biomarkers in plasma and urine. Calibration curves drawn with MRM and MRM(3) showed a similar range of linearity (R(2) > 0.99 for both methods) with protein concentrations above 1 µg/mL in plasma and a few nanogram per milliliter in urine. In contrast, optimized MRM(3) methods improve the limits of quantification by a factor of 2 to 4 depending on the targeted peptide. This gain arises from the additional MS(3) fragmentation step, which significantly removes or decreases interfering signals within the targeted transition channels.

Improved detection specificity for plasma proteins by targeting cysteine-containing peptides with photo-SRM.

Targeted mass spectrometry using selected reaction monitoring (SRM) has emerged as an alternative to immunoassays for protein quantification owing to faster development time and higher multiplexing capability. However, the SRM strategy is faced with the high complexity of peptide mixtures after trypsin digestion of whole plasma or the cellular proteome that most of the time causes contamination, irremediably, by interfering compounds in the transition channels monitored. This problem becomes increasingly acute when the targeted protein is present at a low concentration. In this work, the merit of laser-induced photo-dissociation in the visible region at 473 nm implemented in an hybrid quadrupole linear ion-trap mass spectrometer (photo-SRM) was evaluated for detection specificity of cysteine-containing peptides in a group of plasma proteins after tagging with a dabcyl chromophore. Compared with conventional SRM, photo-SRM chromatograms have improved detection specificity for most of peptides monitored. Comparison of the signals obtained for the best proteotypic peptides in SRM mode and those recorded by photo-SRM of cysteine-containing peptides for the same proteins reveals either increased (up to 10-fold) or similar signal to photo-SRM detection. Finally, photo-SRM has extended response linearity across a calibration plot obtained by diluting human plasma in rat plasma, down to the lowest concentrations. Hence, photo-SRM may advantageously complement conventional SRM in assay of proteins in complex biological matrices.

Analysis of polar primary metabolites in biological samples using targeted metabolomics and LC-MS.

Primary metabolites are molecules of essential biochemical reactions that define the biological phenotype. All primary metabolites cannot be measured in a single analysis. In this protocol, we outline the multiplexed and quantitative measurement of 106 metabolites that cover the central part of primary metabolism. The protocol includes several sample preparation techniques and one liquid chromatography-mass spectrometry method. Then, we describe the steps of the bioinformatic data analysis to better understand the metabolic perturbations that may occur in a biological system. For complete details on the use and execution of this protocol, please refer to: Costanza et al.,1 Blomme et al.,2 Blomme et al.,3 Guillon et al.,4 Stuani et al.5.

Multiplexed targeted analysis of polyunsaturated fatty acids and oxylipins using liquid chromatography-tandem mass spectrometry.

Polyunsaturated fatty acids (PUFAs) and their oxidized products (oxylipins) are important mediators in intra- and extra-cellular signaling. We describe here the simultaneous quantification of 163 PUFAs and oxylipins using liquid chromatography-mass spectrometry (LC-MS). The protocol details steps for PUFA purification from various biological materials, the conditions for LC-MS analysis, as well as quantitative approaches for data evaluation. We provide an example of PUFA quantification in animal tissue along with the bioinformatic protocol, enabling efficient inter-sample comparison and statistical analysis. For complete details on the use and execution of this protocol, please refer to Vila et al.,1 Costanza et al.,2 Blomme et al.,3 and Blomme et al.4.

Combined collision-induced dissociation and photo-selected reaction monitoring mass spectrometry modes for simultaneous analysis of coagulation factors and estrogens.

Oral estrogens are directly associated with changes in plasma levels of coagulation proteins. Thus, the detection of any variation in protein concentrations due to estrogen contraceptives, by a simultaneous analysis of both coagulation proteins and estrogens, would be a very informative tool. In the present study, the merit of photo-selected reaction monitoring (SRM), a new analytical tool, was evaluated towards estrogens detection in plasma. Then, SRM and photo-SRM detection modes were combined for the simultaneous analysis of estrogen molecules together with heparin co-factor and factor XIIa, two proteins involved in the coagulation cascade. This study shows that photo-SRM could open new multiplexed analytical routes.