Published Paper Details:

Quality control plays a great role in the assurance of integrity, safety, and performance of a product within various industrial sectors such as pharmaceuticals, food processing, materials science, and chemicals. The commonly used traditional QC methods include titrimetric analysis, chromatography, and gravimetry among others. Though these methods are well known for their accuracy they involve destructive testing, elaborate sample preparation as well as long analysis time hence high operation cost and added environmental burden. Recent developments in different spectroscopic techniques have remodeled the analytical quality control area with their non-destructive, reagentless real-time molecular characterization capabilities. Available methods include FTIR, NIR, Raman, NMR, UV-Vis, THz, and LIBS which permit very selective and sensitive rapid determination of physical and chemical properties. These methods have not only enhanced analytical throughput but are also compliant with the current state of regulation which puts a spotlight on the PAT and QbD paradigms. This paper reviews the principles and foundations, instruments, applications, benefits, and practical challenges of advanced spectroscopic techniques. It discusses trends fueled by artificial intelligence in spectral interpretation, miniaturized and portable spectrometers, data fusion strategies, and hybrid spectroscopic platforms leading to intelligent automated sustainable QC systems. All these are integrated with the promise to bring a new dawn in modern manufacturing via predictive analytics as well as compliance that is not harmful to the environment while assuring quality.