As we see rapid growth in the field of opinion mining, there is high scope for Sentimental Analysis, which effectively identifies and extracts subjective information. Sentimental Analysis is the one, which uses Natural Language Processing to successfully classify the expressed feelings in diverse manners such as positive, negative or neutral. It aims at discovering text or opinions present on social media platform along with the calculation of polarity. As sentiments of customers are very essential for the growth of the company, data which is unstructured or incomplete, need to be properly managed and this is where Sentimental Analysis Plays an important role. In order to solve all these problems, Sentimental Analysis is combined with Deep Learning, as DL models are well known for their high performance.
Gold nanoparticles absorb light energy and convert it to thermal energy that transfers to the surrounding environment, making them potentially useful for the hyperthermic treatments well known as photothermal therapy (PTT). Further, it is well documented that noble metal nanoparticles are capable of significantly enhancing the Raman scattering of molecules attached to their surfaces, a technique which is termed surface-enhanced Raman scattering (SERS). SERS combined with PTT has the ability to locate nanoparticles at depth and trigger heat production, providing an effective methodology to both seek and destroy diseased tissues. While PTT and SERS are often used in tandem and there are several ways of individually measuring SERS and thermal output, there is currently no method available that pre-screens both properties prior to in vitro or in vivo application. In this work, we have designed a 3D printed platform capable of coupling a commercially available Raman probe to a sample cuvette for SERS and heat output to be monitored simultaneously. We have compared the performance of morphologically complex gold nanoparticles, nanostars (AuNSs) and nanoplates (AuNPLs), which are both well utilized in SERS and photothermal experiments; and measured the SERS activity originating from common Raman reporter analytes 4-mercaptobenzoic acid (MBA) and 1,4-benzenedithiol (BDT). We were able to show that the system effectively measures the thermal output and SERS activity of the particles and can evaluate the effect that multiple irradiation cycles have on the SERS signal.
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