Ultrasensitive and Rapid Detection of Procalcitonin via Waveguide-Enhanced Nanogold-Linked Immunosorbent Assay for Early Sepsis Diagnosis.

Sepsis, a life-threatening inflammatory response, demands economical, accurate, and rapid detection of biomarkers during the critical "golden hour" to reduce the patient mortality rate. Here, we demonstrate a cost-effective waveguide-enhanced nanogold-linked immunosorbent assay (WENLISA) based on nanoplasmonic waveguide biosensors for the rapid and sensitive detection of procalcitonin (PCT), a sepsis-related inflammatory biomarker. To enhance the limit of detection (LOD), we employed sandwich assays using immobilized capture antibodies and detection antibodies conjugated to gold nanoparticles to bind the target analyte, leading to a significant evanescent wave redistribution and strong nanoplasmonic absorption near the waveguide surface. Experimentally, we detected PCT for a wide linear response range of 0.1 pg/mL to 1 ng/mL with a record-low LOD of 48.7 fg/mL (3.74 fM) in 8 min. Furthermore, WENLISA has successfully identified PCT levels in the blood plasma of patients with sepsis and healthy individuals, offering a promising technology for early sepsis diagnosis.

Slab waveguide-based particle plasmon resonance optofluidic biosensor for rapid and label-free detection.

An effective bio-sensing platform that would meet the criteria of rapid, simple, and sensitive detection is crucial to translate bench research to clinical applications. However, simultaneously rapid and sensitive biosensing remains challenging for practical biomedical applications. In this study, for the first time, we demonstrate a cost-effective, label-free, real-time, and sensitive slab waveguide-based particle plasmon resonance (WGPPR) biosensor for practical clinical applications. A suspended glass slab waveguide structure with excellent optical confinement properties was designed and fabricated as the biosensor. Gold nanoparticles (AuNPs) were deposited on the top surface of the waveguide layer to significantly enhance the optical near field through the localized surface plasmon resonance (LSPR) effect. When light travels through the waveguide, the change in the local refractive index (RI) near the surface of the AuNPs can be transformed into changes in the intensity of transmitted light, thereby enabling sensitive and real-time detection. The RI sensing experiment shows a good sensor resolution of 1.43 × 10-4 RIU, which represents a 395% enhancement compared to that of the sensor without AuNPs. Through biochemical detection experiments, we measured IgG and determined the detection limit (LOD) at 614 ng mL-1 in ∼4 min, thereby proving the feasibility of the bio-detection sensing functionality. This study demonstrates a new type of WGPPR biosensor, which offers several unique advantages such as simple structure, high sensitivity, and rapid bio-sensing for practical bio-medical sensing applications. The new biosensor also fulfils point-of-care (POC) requirements.

Detection and quantification of palmolein and palm kernel oil added as adulterant in coconut oil based on triacylglycerol profile.

Economically motivated adulteration of expensive coconut oil with low cost oil, like palm kernel oil and palmolein is difficult to detect and quantify by available methods primarily due to their overlapping physicochemical properties with coconut oil. In the present work, a HPLC method has been developed to detect and quantify the degree of adulteration of coconut oil with palmolein and palm kernel oil based on triglyceride structure. The normalized area percentage of trilaurin (C36) among the three major TAG molecular species dilaurin-monocaprin/myristin-caprylin-laurin (C34), trilaurin (C36) and dilaurin-monomyristin (C38) of coconut oil was chosen as detection index for quantifying degree of adulteration of coconut oil with palm kernel oil, while the area ratio of dipalmitoyl-monoolein: trilaurin was chosen as detection index for quantifying adulteration of coconut oil with palmolein. The RP-HPLC based method developed in the present work is effective with a 2-4% minimum detection limit of adulterant oils and 78-98% detection accuracy depending on the degree of adulteration and types of oil.