Jordon Gilmore

Owing to the lack of early diagnosis and delayed arrival at the hospital, diseases are often not identified in a timely manner, leading to prolonged patient suffering and an elevated mortality rate. In addition, the majority of diagnostic technologies currently employed for biomarker analysis depend on invasive procedures that require piercing body tissue to collect biofluids. Such biofluid collection methods are not only painful but also pose considerable risks for infants and babies. Therefore, wearable non-invasive biosensors have emerged as highly promising technological solutions, capable of providing real-time information about an individual’s health without necessitating any tissue disruption. This innovative approach not only ensures patient safety and comfort but also mitigates prolonged patient suffering. This chapter encompasses the geometrical design of wearable non-invasive biosensors and their fabrication process. Furthermore, the fundamental principles, advanced nanomaterials, biorecognition, non-enzymatic processes, and associated electronic modules are thoroughly discussed.

Herein, we have comprehensively investigated the properties of solution blow‐spun nonwoven nanofiber mats. Three nonidentical polylactic acid (PLA) concentrations in conjunction with two different solution flow rates and gas pressures were set as experimental parameters. Rheological data showed that entanglement concentration (C _e ) is 8% (w/v) with a dynamic viscosity of 102.4 mPa.s, while overlap concentration (C ^* ) is 4.6% (w/v). A scanning electron microscope (SEM) was utilized to investigate nanofiber diameter and its distribution. The 10% (w/v) PLA/chloroform concentration and 40 mL/h polymer flow rate with 40 psi gas pressure synthesized 259.8 ± 161.2 nm fibers, which showed better statistical distribution and mechanical characteristics (Young's modulus, ultimate tensile strength, and elongation at break). Thermogravimetric analysis (TGA) and differential scanning calorimetry (DSC) were employed to analyze thermal stability, glass transition temperature (T _g ), melting point temperature (T _m ), crystallization temperature (T _c ), and degree of crystallinity (χ _c ). Bulk PLA depicts higher T _c and χ _c compared to the mats. Fourier transform infrared (FTIR) spectrum revealed additional peaks from the fabricated nanofiber mats, which were justified further with nuclear magnetic resonance ( ¹ H NMR) shifts. 3D surface topography was analyzed with a confocal laser microscope. Analysis of variance (ANOVA) and Tukey's HSD were performed for statistical significance analysis ( p < 0.05).

The use of machine learning and deep learning has become prominent within various fields of bioprocessing for countless modeling and prediction tasks. Previous reviews have emphasized machine learning applications in various fields of bioprocessing, including biomanufacturing. This comprehensive review highlights many of the different machine learning and multivariate analysis techniques that have been utilized within Chinese hamster ovary cell biomanufacturing, specifically due to their rising significance in the industry. Applications of machine and deep learning within other bioprocessing industries are also briefly discussed.

Antibacterial woven polyester fabrics are drawing much attention in the medical and textile industries because they can provide many health-promoting properties that prevent infection while providing a barrier to the external environment. In this work, we developed and investigated two different polyester fabrics to demonstrate the antibacterial, non-adhesive, and moisture wicking properties of a multicomponent wound dressing. Vertical wicking of a braided layer composed of Poly-l-lactide (PLLA) yarn of 4-deep-grooved (4DG) fibers was tested using porcine blood serum to mimic wound exudate viscosity. Bacterial inhibition of Pseudomonas putida was measured after exposure to gentamicin sulfate (GS)-incorporated PLLA skin-contact layers of two different shaped yarns. Poly-ethylene glycol (PEG) was added to the GS PLLA contact layer to further prevent non-specific cellular attachment. Results indicated vertical wicking of moisture at 0.88 mm/s. While a specific wicking rate for adequate wound moisture regulation has not been indicated in the literature due to wound and patient variability, we assert that rapid removal of excess fluid from the wound bed, as demonstrated by our fabric is an essential component for a comprehensive wound dressing. Antibacterial experiments showed that GS exhibited both bactericidal and bacteriostatic trends by killing bacteria and further inhibiting growth, respectively. The surface treatment of PEG on PLLA contact layers showed less cellular attachment, promoting non-adhesion during dressing changes. Ultimately, using woven polyester medical textiles in wound care allows for optimizing parameters, such as antimicrobial uptake/release and moisture wicking for personalized healing. The construct studied here may serve as a tunable platform for development of wound dressings with specific antibacterial, moisture, and tissue adhesion requirements.

Since the discovery and subsequent use of penicillin, antibiotics have been used to treat most bacterial infections in the U.S. Over time, the repeated prescription of many antibiotics has given rise to many antibiotic-resistant microbes. A bacterial strain becomes resistant by horizontal gene transfer, where surviving microbes acquire genetic material or DNA fragments from adjacent bacteria that encode for resistance. In order to avoid significant bacterial resistance, novel and target therapeutics are needed. Further advancement of diagnostic technologies could be used to develop novel treatment strategies. The use of biosensors to detect quorum-sensing signaling molecules has the potential to provide timely diagnostic information toward mitigating the multidrug-resistant bacteria epidemic. Resistance and pathogenesis are controlled by quorum-sensing (QS) circuits. QS systems secrete or passively release signaling molecules when the bacterial concentration reaches a certain threshold. Signaling molecules give an early indication of virulence. Detection of these compounds in vitro or in vivo can be used to identify the onset of infection. Whole-cell and cell-free biosensors have been developed to detect quorum-sensing signaling molecules. This review will give an overview of quorum networks in the most common pathogens found in chronic and acute infections. Additionally, the current state of research surrounding the detection of quorum-sensing molecules will be reviewed. Followed by a discussion of future works toward the advancement of technologies to quantify quorum signaling molecules in chronic and acute infections.

Bloodstream infection with Candida fungal cells remains one of the most life-threatening complications among hospitalized patients around the world. Although most of the cases are still due to Candida albicans, the rising incidence of infections caused by other Candida strains that may not respond to traditional anti-fungal treatments merits the development of a method for species-specific isolation of Candida. To this end, here we present the characterization of the dielectrophoresis (DEP) response of Candida albicans, Candida tropicalis and Candida parapsilosis. We complement such characterization with a study of the Candida cells morphology. The Candida strains exhibited subtle differences in their morphology and dimensions. All the Candida strains exhibited positive DEP in the range 10–500 kHz, although the strength of the DEP response was different for each Candida strain at different frequencies. Only Candida tropicalis showed positive DEP at 750 kHz. The current results show potential for manipulation and enrichment of a specific Candida strain at specific DEP conditions towards aiding in the rapid identification of Candida strains to enable the effective and timely treatment of Candida infections.

Quantifiable sensing of common microbes in chronic wounds has the potential to enable an objective assessment of wound healing for diagnostic applications. Sensing platforms should be robust, simple, and flexible to provide clinicians with a point-of-care tool. In this work, solution blow spun poly (lactic acid)/multiwalled carbon nanotube nanofiber composites are used to detect the presence and concentration of Pseudomonas putida in vitro using changes in impedance. Impedance microbiology (IM) is a well-documented diagnostic technique used in many applications, including cancer detection, tuberculosis screening and pregnancy tests. Twenty-four hour real-time measurements of the equivalent circuit of three culture media were taken with an inductance, capacitance, and resistance (LCR) meter. Variations in impedance were calculated to correspond to the growth of P. putida. Additionally, instantaneous measurements of bacterial cultures were taken over a one-minute time point to display the fast sensing of bacterial load via IM. This proof-of-concept shows that conductive solution blow spun fiber mats is a valid fabrication technique to develop in situ wound dressing impedance sensors. Study results indicate successful measurement and quantification of bacterial growth in this proof-of-concept study.

Given their severity and non-healing nature, diabetic chronic wounds are a significant concern to the 30.3 million Americans diagnosed with diabetes mellitus (2015). Peripheral arterial diseases, neuropathy, and infection contribute to the development of these wounds, which lead to an increased incidence of lower extremity amputations. Early recognition, debridement, offloading, and controlling infection are imperative for timely treatment. However, wound characterization and treatment are highly subjective and based largely on the experience of the treating clinician. Many wound dressings have been designed to address particular clinical presentations, but a prescriptive method is lacking for identifying the particular state of chronic, non-healing wounds. The authors suggest that recent developments in wound dressings and biosensing may allow for the quantitative, real-time representation of the wound environment, including exudate levels, pathogen concentrations, and tissue regeneration. Development of such sensing capability could enable more strategic, personalized care at the onset of ulceration and limit the infection leading to amputation. This review presents an overview of the pathophysiology of diabetic chronic wounds, a brief summary of biomaterial wound dressing treatment options, and biosensor development for biomarker sensing in the wound environment.

Research characterizing transport of nutrients and waste in tissue engineering scaffolds has led to the study of scaffold properties that contribute to permeability and porosity of the scaffold. Both permeability and porosity contribute to the transport properties of the scaffold; however, permeability relates to the degree to which pores are interconnected within the scaffold. This work evaluated permeability for woven polymer fiber scaffolds by modulating the following scaffold parameters: material combination, weave configuration, and fiber geometry. Materials tested were poly‐l‐lactide and poly‐l‐lactide‐co‐ɛ‐caprolactone in various combinations. Plain and crowfoot weave configurations were compared, and grooved wicking fibers were compared with round cross‐section fibers to study fiber geometry. A modification of the constant head hydraulic conductivity test was used in combination with a vertical wicking test to determine levels of permeability of the woven scaffolds. Results showed a significant effect on permeability for combinations of weave configuration, fiber geometry, and material combination. However, modulating fiber geometry demonstrated the most significant contribution to permeability. This result suggests the grooved wicking geometry may be used in scaffold development to regulate transport by selectively moving fluid away or toward the area of interest by capillary action. © 2018 Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater, 107B: 306–313, 2019.