María Eugenia Monge

Mass Spectrometry: Recent Advances in Direct Open Air Surface Sampling/Ionization

1. Scope of this Review 2270 2. Ambient Ionization Techniques 2272 2.1. Solid−Liquid Extraction-Based Techniques 2272 2.1.1. Desorption Electrospray Ionization (DESI) 2272 2.1.2. Desorption Ionization by Charge Exchange (DICE) 2277 2.1.3. Easy Ambient Sonic-Spray Ionization (EASI) 2278 2.1.4. Liquid Micro Junction Surface Sampling Probe (LMJ-SSP) 2279 2.1.5. Liquid Extraction Surface Analysis (LESA) 2279 2.1.6. Nanospray Desorption Electrospray Ionization (nanoDESI) 2280 2.1.7. Desorption Atmospheric Pressure Photoionization (DAPPI) 2280 2.2. Plasma-Based Techniques 2281 2.2.1. Direct Analysis in Real Time (DART) 2282 2.2.2. Flowing Atmospheric-Pressure Afterglow (FAPA) 2286 2.2.3. Low Temperature Plasma (LTP) & Dielectric Barrier Discharge Ionization (DBDI) 2286 2.2.4. Chemical Sputtering/Ionization Techniques 2287 2.3. Two-Step Thermal/Mechanical Desorption/ Ablation (Non-Laser) Techniques 2288 2.3.1. Neutral Desorption Extractive Electrospray Ionization (ND-EESI) 2288 2.3.2. Beta Electron-Assisted Direct Chemical Ionization (BADCI) 2288 2.3.3. Atmospheric Pressure Thermal Desorption-Secondary Ionization (AP-TD/SI) 2289 2.3.4. Probe Electrospray Ionization (PESI) 2289 2.4. Two-Step Laser-Based Desorption Ablation Techniques 2290 2.4.1. Laser-Based Hybrid Techniques Coupled to ESI or Plasma Ionization 2290 2.4.2. Laser Electrospray Mass Spectrometry (LEMS) 2292 2.4.3. Laser Ablation Atmospheric Pressure Photoionization (LAAPPI) 2293 2.4.4. Laser Ablation Sample Transfer 2293 2.5. Acoustic Desorption Techniques 2294 2.5.1. Laser-Induced Acoustic Desorption (LIAD) 2294 2.5.2. Radiofrequency Acoustic Desorption Ionization (RADIO) 2295 2.5.3. Surface Acoustic Wave-Based Techniques 2295 2.6. Multimode Techniques 2296 2.6.1. Desorption Electrospray/Metastable-Induced Ionization (DEMI) 2296 2.7. Other Techniques 2296 2.7.1. Rapid Evaporative Ionization Mass Spectrometry (REIMS) 2296 2.7.2. Laser Desorption Ionization (LDI) 2297 2.7.3. Switched Ferroelectric Plasma Ionizer (SwiFerr) 2297 2.7.4. Laserspray Ionization (LSI) 2297 3. Remote Sampling 2298 3.1. Nonproximate Ambient MS 2298 3.2. Fundamentals of Neutral/Ion Transport 2298 3.3. Transport of Neutrals 2298 3.4. Transport of Ions 2299 4. Future Directions 2300 Author Information 2300 Corresponding Author 2300 Author Contributions 2300 Notes 2300 Biographies 2300 Acknowledgments 2301 References 2301

Falsified medicines in Africa: all talk, no action

Fil: Newton, Paul N. . Mahosot Hospital. Microbiology Laboratory. Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit; Laos. Oxford University. Churchill Hospital. Nuffield Department of Medicine. Centre for Tropical Medicine and Global Health; Reino Unido. Oxford University. Churchill Hospital. Worldwide Antimalarial Resistance Network; Reino Unido

Feasibility of Detecting Prostate Cancer by Ultraperformance Liquid Chromatography–Mass Spectrometry Serum Metabolomics

Prostate cancer (PCa) is the second leading cause of cancer-related mortality in men. The prevalent diagnosis method is based on the serum prostate-specific antigen (PSA) screening test, which suffers from low specificity, overdiagnosis, and overtreatment. In this work, untargeted metabolomic profiling of age-matched serum samples from prostate cancer patients and healthy individuals was performed using ultraperformance liquid chromatography coupled to high-resolution tandem mass spectrometry (UPLC-MS/MS) and machine learning methods. A metabolite-based in vitro diagnostic multivariate index assay (IVDMIA) was developed to predict the presence of PCa in serum samples with high classification sensitivity, specificity, and accuracy. A panel of 40 metabolic spectral features was found to be differential with 92.1% sensitivity, 94.3% specificity, and 93.0% accuracy. The performance of the IVDMIA was higher than the prevalent PSA test. Within the discriminant panel, 31 metabolites were identified by MS and MS/MS, with 10 further confirmed chromatographically by standards. Numerous discriminant metabolites were mapped in the steroid hormone biosynthesis pathway. The identification of fatty acids, amino acids, lysophospholipids, and bile acids provided further insights into the metabolic alterations associated with the disease. With additional work, the results presented here show great potential toward implementation in clinical settings.

Ion mobility and liquid chromatography/mass spectrometry strategies for exhaled breath condensate glucose quantitation in cystic fibrosis studies

RATIONALE Cystic fibrosis related diabetes (CFRD) is an important complication of cystic fibrosis (CF) because it causes acceleration in the decline in lung function. Monitoring concentrations of key metabolites such as glucose in airway lining fluid is necessary for improving our understanding of the biochemical mechanisms linking diabetes and CF. Targeted-metabolomic strategies for glucose quantitation in exhaled breath condensate (EBC) from healthy individuals are presented. METHODS Three different electrospray ionization mass spectrometry (ESI-MS)-based methods were developed for EBC sample interrogation and glucose quantitation without derivatization. Two methods utilized ultra-high-performance liquid chromatography (UHPLC) coupled to either time-of-flight (TOF) MS or triple quadrupole (QqQ) tandem MS (MS/MS). A third approach involved direct-infusion traveling wave ion mobility spectrometry (TWIMS) with TOF-MS detection. UHPLC/QqQ-MS/MS was used for urea quantitation as the EBC dilution marker. Matrix effects were mitigated using isotopically labeled glucose and urea as internal standards. RESULTS All the developed methods allowed glucose and urea quantitation in EBC with high accuracy and precision. The UHPLC/TOF-MS and UHPLC/QqQ-MS/MS methods provided similar analytical figures of merit. UHPLC/QqQ-MS/MS provided the highest sensitivity and the lowest limit of detection (LOD) of 1.5 nM in EBC for both glucose and urea. The TWIMS-TOF-MS-based method provided the highest sample throughput capability; however, the glucose LOD was ~3-fold higher than with the two chromatographic methods. CONCLUSIONS Mass spectrometric methods for the quantitative analysis of trace EBC glucose levels are reported and compared for the first time. The analytical figures of merit demonstrate the applicability of these methods to metabolite analysis of airway samples for CF and CFRD research.

Metabolomic serum profiling detects early-stage high-grade serous ovarian cancer in a mouse model.

Ovarian cancer is a deadly disease killing more than any other gynecologic cancer. Nonspecific symptoms, combined with a lack of early detection methods, contribute to late diagnosis and low five-year survival rates. High-grade serous carcinoma (HGSC) is the most common and deadliest subtype that results in 90% of ovarian cancer deaths. To investigate metabolic patterns for early detection of this deadly ovarian cancer, Dicer-Pten double knockout (DKO) mice that phenocopy many of the features of metastatic HGSC observed in women were studied. Using ultraperformance liquid chromatography-mass spectrometry (UPLC-MS), serum samples from 14 early-stage tumor (ET) DKO mice and 11 controls were analyzed in depth to screen for metabolic signatures capable of differentiating early-stage HGSC from controls. Iterative multivariate classification selected 18 metabolites that, when considered as a panel, yielded 100% accuracy, sensitivity, and specificity for classification. Altered metabolic pathways reflected in that panel included those of fatty acids, bile acids, glycerophospholipids, peptides, and some dietary phytochemicals. These alterations revealed impacts to cellular energy storage and membrane stability, as well as changes in defenses against oxidative stress, shedding new light on the metabolic alterations associated with early ovarian cancer stages.

Feasibility of Early Detection of Cystic Fibrosis Acute Pulmonary Exacerbations by Exhaled Breath Condensate Metabolomics: A Pilot Study

Progressive lung function decline and, ultimately, respiratory failure are the most common cause of death in patients with cystic fibrosis (CF). This decline is punctuated by acute pulmonary exacerbations (APEs), and in many cases, there is a failure to return to baseline lung function. Ultraperformance liquid chromatography quadrupole-time-of-flight mass spectrometry was used to profile metabolites in exhaled breath condensate (EBC) samples from 17 clinically stable CF patients, 9 CF patients with an APE severe enough to require hospitalization (termed APE), 5 CF patients during recovery from a severe APE (termed post-APE), and 4 CF patients who were clinically stable at the time of collection but in the subsequent 1-3 months developed a severe APE (termed pre-APE). A panel containing two metabolic discriminant features, 4-hydroxycyclohexylcarboxylic acid and pyroglutamic acid, differentiated the APE samples from the stable CF samples with 84.6% accuracy. Pre-APE samples were distinguished from stable CF samples by lactic acid and pyroglutamic acid with 90.5% accuracy and in general matched the APE signature when projected onto the APE vs stable CF model. Post-APE samples were on average more similar to stable CF samples in terms of their metabolomic signature. These results show the feasibility of detecting and predicting an oncoming APE or monitoring APE treatment using EBC metabolites.

A tiered analytical approach for investigating poor quality emergency contraceptives.

Reproductive health has been deleteriously affected by poor quality medicines. Emergency contraceptive pills (ECPs) are an important birth control method that women can use after unprotected coitus for reducing the risk of pregnancy. In response to the detection of poor quality ECPs commercially available in the Peruvian market we developed a tiered multi-platform analytical strategy. In a survey to assess ECP medicine quality in Peru, 7 out of 25 different batches showed inadequate release of levonorgestrel by dissolution testing or improper amounts of active ingredient. One batch was found to contain a wrong active ingredient, with no detectable levonorgestrel. By combining ultrahigh performance liquid chromatography-ion mobility spectrometry-mass spectrometry (UHPLC-IMS-MS) and direct analysis in real time MS (DART-MS) the unknown compound was identified as the antibiotic sulfamethoxazole. Quantitation by UHPLC-triple quadrupole tandem MS (QqQ-MS/MS) indicated that the wrong ingredient was present in the ECP sample at levels which could have significant physiological effects. Further chemical characterization of the poor quality ECP samples included the identification of the excipients by 2D Diffusion-Ordered Nuclear Magnetic Resonance Spectroscopy (DOSY 1H NMR) indicating the presence of lactose and magnesium stearate.

Plasma-Spray Ionization (PLASI): A Multimodal Atmospheric Pressure Ion Source for Liquid Stream Analysis

AbstractA new ion generation method, named plasma-spray ionization (PLASI) for direct analysis of liquid streams, such as in continuous infusion experiments or liquid chromatography (LC), is reported. PLASI addresses many of the analytical limitations of electrospray ionization (ESI) and has potential for real time process stream analysis and reaction monitoring under atmospheric conditions in non-ESI friendly scenarios. In PLASI-mass spectrometry (MS), the liquid stream is pneumatically nebulized and partially charged at low voltages; the resultant aerosol is thus entrained with a gaseous plasma plume from a distal glow discharge prior to MS detection. PLASI-MS not only overcomes ESI-MS limitations but also generates simpler mass spectra with minimal adduct and cluster formation. PLASI utilizes the atomization capabilities of an ESI sprayer operated below the ESI threshold to generate gas-phase aerosols that are then ionized by the plasma stream. When operated at or above the ESI threshold, ionization by traditional ESI mechanisms is achieved. The multimodal nature of the technique enables readily switching between plasma and ESI operation. It is expected that PLASI will enable analyzing a wide range of analytes in complex matrices and less-restricted solvent systems, providing more flexibility than that achievable by ESI alone. Figureᅟ

Comparison of Ambient and Atmospheric Pressure Ion Sources for Cystic Fibrosis Exhaled Breath Condensate Ion Mobility-Mass Spectrometry Metabolomics

AbstractCystic fibrosis (CF) is an autosomal recessive disorder caused by mutations in the gene that encodes the cystic fibrosis transmembrane conductance regulator (CFTR) protein. The vast majority of the mortality is due to progressive lung disease. Targeted and untargeted CF breath metabolomics investigations via exhaled breath condensate (EBC) analyses have the potential to expose metabolic alterations associated with CF pathology and aid in assessing the effectiveness of CF therapies. Here, transmission-mode direct analysis in real time traveling wave ion mobility spectrometry time-of-flight mass spectrometry (TM-DART-TWIMS-TOF MS) was tested as a high-throughput alternative to conventional direct infusion (DI) electrospray ionization (ESI) and atmospheric pressure chemical ionization (APCI) methods, and a critical comparison of the three ionization methods was conducted. EBC was chosen as the noninvasive surrogate for airway sampling over expectorated sputum as EBC can be collected in all CF subjects regardless of age and lung disease severity. When using pooled EBC collected from a healthy control, ESI detected the most metabolites, APCI a log order less, and TM-DART the least. TM-DART-TWIMS-TOF MS was used to profile metabolites in EBC samples from five healthy controls and four CF patients, finding that a panel of three discriminant EBC metabolites, some of which had been previously detected by other methods, differentiated these two classes with excellent cross-validated accuracy. Graphical Abstractᅟ

Chapter 1:An Introduction to Ambient Ionization Mass Spectrometry

Ambient ionization/sampling mass spectrometry (or “ambient mass spectrometry” for short) is a subdiscipline of mass spectrometry that enables direct, high-throughput, surface analysis of native samples. Two flagship ambient mass spectrometry techniques: direct analysis in real time (DART) and desorption electrospray ionization (DESI) have not only enabled experiments previously not possible, but have also been surrounded by a plethora of other techniques, each with their own advantages and specific applications. This chapter introduces the kind of experiments that are the cornerstone of ambient mass spectrometry, and provides a set of select examples to introduce the reader new to the area to the field.