Volatile Organic Compounds of Malignant Breast Cancer Wounds: Identification and Odors.

INTRODUCTION: During the metabolic processes of malignant wounds, bacteria produce a large amount of volatile organic compounds (VOCs) that are responsible for malodors and may have a major impact on the patient's quality of life with a risk of isolation. OBJECTIVE: A translational study was conducted on 32 malignant breast wounds by combining the identification of bacterial strains present on wounds, the identification of VOCs produced by these bacterial strains, and sensory evaluation to assess odor intensity and quality of odorous bacteria. MATERIALS AND METHODS: Thirty-two patients with malignant breast cancer wounds > 10 cm2 at various stages of the disease (curative or palliative) were included in the protocol. Volatile organic compounds were collected from primary dressings by headspace solid-phase microextraction and then analyzed by gas chromatography separation coupled with a mass spectrometer detector analysis. Microbiological samplings were taken and analyzed on agar plates. The odors of selected bacteria were assessed by a panel of staff members. RESULTS: Proteus mirabilis and Fusobacterium necrophorum seem to produce the strongest and most typical malignant wound odor. The VOCs were analyzed and dimethyl disulfide, dimethyl trisulfide, phenol, indole, and 3-methylbutanal were found to be produced by bacteria generating the most typical wound odor. CONCLUSIONS: This study suggests the bacteria present in wounds may be responsible for odors. In addition, these findings could pave the way to engineer new types of dressings and to develop an evaluation method to assess their efficiency both quantitatively and qualitatively as well as improve quality of palliative care and comfort for women with malignant wounds.

Development of a gas chromatography-mass spectrometry method to monitor in a single run, mono- to triterpenoid compounds distribution in resinous plant materials.

A new procedure based on gas chromatography coupled to mass spectrometry (GC-MS) was developed for the simultaneous determination of mono- to triterpenoid compounds in resinous materials. Given the difference of volatility and polarity of the studied compounds some critical steps in this methodology had to be identified and investigated. The recovery of volatile compounds after sample extraction was studied. A recovery range from 30% to 100% from the more volatile monoterpene to the least one was observed. Then the mandatory derivatization step for the analysis of pentacyclic triterpenes bearing hydroxyl and carboxyl groups was optimized. Results showed that derivatization using N,O-bis(trimethylsilyl)trifluoroacetamide (BSTFA) and trimethylchlorosilane (TMCS) in pyridine (22:13:65 v/v/v) for 2h at 30 °C was the most efficient method of derivatizing all the hydroxyl and carboxylic acid groups contained in the triterpene structures. After choosing the best injection parameters for these compounds, the selectivity of the GC column towards the separation of these terpenoids was investigated using statistical tools (principal component analysis and desirability functions). A separation with a good resolution was achieved on an HP-5ms column using a programmed temperature vaporizing injector (PTV). The method was pre-validated in terms of detection limits (LOD from 100 µg L(-1) to 200 µg L(-1) depending on the compound), linearity and repeatability using seven compounds representative of mono- and triterpenoid classes. An exhaustive characterization of various types of resins (di-, triterpenic and oleo-gum resins) was achieved.

Optimization of the derivatization protocol of pentacyclic triterpenes prior to their gas chromatography-mass spectrometry analysis in plant extracts.

This paper focuses on the application of a two-level full factorial design to optimize the key derivatization step before the GC-FID and GC-MS analysis of pentacyclic triterpenes. The derivatization reaction was screened for influential factors and statistically significant parameters with a p value less than 0.05. A multi-response optimization based on a desirability function was then applied, while simultaneously considering overall detection enhancement of compounds. Results showed that derivatization using N,O-bis(trimethylsilyl)trifluoroacetamide (BSTFA) and trimethylchlorosilane (TMCS) in pyridine (22:13:65v/v/v) for 2h at 30°C was the most efficient method of derivatizing all the hydroxyl and carboxylic acid groups contained in the triterpene structures. The validity of the method was demonstrated using GC-MS analyzes of a mixture containing eleven standards (ß-amyrin, α-amyrin, lupeol, erythrodiol, uvaol, betulin, oleanolic acid, betulinic acid, ursolic acid, maslinic acid and corosolic acid). These compounds are representative of different classes of terpene compounds bearing different functional groups such as alcohols, diols, and carboxylic acids. The derivatization procedure was then tested on four plant extracts: apple pomace, salvia sclarea (dried leaves and flowers), sea buckthorn (Hyppophae rhammnoides L.) berries, and B. serrata resin. The identification of triterpenes was based on the comparison of their retention time and mass spectra to those of standards. The presence of compounds already identified in the literature was confirmed and new ones such as maslinic and corosolic acids were identified in apples, sea buckthorn and salvia sclarea.