Application of RAM towards Detection of Bisphenol

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Bioanalysis has gained importance in the scientific at an exponential rate. The focus of these works attempt to seek new approaches towards faster and more efficient bioanalysis study that require little to no sample preparation. One approach is the use of new restricted access media trap technologies to facilitate an online sample preparation platform. A demonstration of the advantages of RAM involves the trace level detection of bisphenol A, an environmental contaminant. A bulk derivatization strategy used in combination with RAM trap technologies is adopted to boost sensitivity without the use of traditional sample preparation methods. Another strategy is the use of ambient ionization techniques. Novel affinity mesh screen materials are used to facilitate rapid drug discovery. The combination of these novel affinity materials with TM-DESI allows for the eventual creation of a truly high throughput screening process for new antibiotic drug compounds. A new ambient ionization technique, continuous flow – extractive desorption electrospray ionization is introduced in the presented work. Charge state manipulation of protein charge states are performed using CF-EDESI. The CF-EDESI technique is also coupled to high pressure liquid chromatography for a powerful analytical method with great versatility.

Restricted access media (RAM) is used in the development of a technique to detect bisphenol A (BPA). BPA is an environmental contaminant that has gained a great amount of attention since reports revealed the endocrine disruptor capabilities of BPA. The concern was exacerbated by its detection in many consumer plastic products, especially of those in infant care products. Infants, who are undergoing hormone and sexual development, are particularly susceptible to the negative effects of endocrine disruptor compounds. In addition to plastic infant care products, BPA was also being reported in a number of consumer food products as well. The primary aim of this work focuses on developing a novel streamlined method for the rapid analysis of BPA with ultra-high sensitivity. When considering viable sampling options for the detection of human contamination from ingested food, saliva comes to mind as an attractive route for fluid sampling. Ultrasensitive detection of environmental contaminants from human saliva has its challenges as well primarily in the form of matrix interferences. Traditional methods have already been demonstrate for the bioanalysis study of target compounds from saliva. However, these methods are tedious and expensive in terms of resource costs. To overcome these challenges, a bulk derivatization sample preparation strategy is used in conjunction with RAM trap technologies to achieve accurate and sensitive analysis of BPA from saliva using a fraction of the time and resources that previous traditional methods require. Detection limits as low as part per trillion (w/v) are reported from this work. In addition the development and optimization of this method, a viable real world application is demonstrated where the detection of BPA is reported from canned foodstuffs.