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| S. no. | Research envisaged | Instrumental technique | Chemometric analysis | Reference |
|
| (1) | High-throughput NIR-chemometric method for meloxicam assay from powder blends for tableting | NIR spectroscopy | Principal component regression (PCR) and partial least squares (PLS) regression | [38] |
| (2) | Self-modeling curve resolution (SMCR) analysis of nearinfrared (NIR) imaging data of pharmaceutical tablets | NIR | Self-modelling curve resolution (SMCR) analysis | [39] |
| (3) | Measurement of soluble solids contents and pH in orange juice using chemometrics and Vis/NIRS | Visible and near infrared reflectance spectroscopy | Partial least squares | [40] |
| (4) | Formulation and evaluation of protein-loaded solid dispersions by nondestructive methods | Powder
X-ray diffraction (PXRD), near infrared chemical imaging (NIR-CI) | Principal component analysis and partial least square regression | [43] |
| (5) | Water content determination of super disintegrants by means of ATR-FTIR spectroscopy. | ATR-FTIR spectroscopy | Simple linear regression | [56] |
| (6) | Chemometric determination of naproxen sodium and pseudoephedrine hydrochloride in tablets by HPLC. | HPLC | Classical least squares (CLS), principle component regression (PCR), and partial least squares (PLS) | [46] |
| (7) | Simultaneous determination of ambroxol hydrochloride and guaifenesin by HPLC, TLC-spectrodensitometric, and multivariate calibration methods in pure form and in cough cold formulations | HPLC, TLC-spectrodensitometric | Multivariate calibration methods | [47] |
| (8) | Quantification of meloxicam & excipients on intact tablets by near infrared spectrometry and chemometrics | Nearinfrared Spectroscopy, HPLC | Partial leastsquares (PLS) and principal component regression (PCR) methods | [48] |
| (9) | Determination of flow properties of pharmaceutical powders by near infrared spectroscopy | NIR spectroscopy | Partial least square | [53] |
| (10) | Accurate determination of polyethylene pellet density using transmission Raman spectroscopy | Transmission Raman Spectroscopy | Principal component analysis | [54] |
| (11) | Chemometric evaluation of pharmaceutical properties of antipyrine granules by nearinfrared spectroscopy | Nearinfrared Spectroscopy | Principal component regression (PCR) analysis | [55] |
| (12) | Investigation of preparation parameters to improve the dissolution of poorly water-soluble meloxicam | X-ray powder diffraction | Self-modelling
curve resolution method | [57] |
| (13) | Theoretical analysis of tablet hardness prediction usingchemoinformetricnearinfrared spectroscopy | Nearinfrared Spectroscopy | Principal component regression (PCR) analysis | [58] |
| (14) | Prediction of tablet properties based on near infrared
spectra of raw mixed powders by chemometrics: scale-up factor of blending and tableting processes | Nearinfrared Spectroscopy | Principal component regression (PCR) method | [59] |
| (15) | Predicting the drug concentration in starch acetate matrix tablets from ATR-FTIR spectra using multiway methods | ATR-FTIR | Parallel factor analysis (PARAFAC) and multilinear partial least squares (N-PLS) | [60] |
| (16) | An efficient method development strategy for the quantitative chemical imaging using terahertz pulse spectroscopy | Terahertz pulse spectroscopy | Partial least square type 2 regression | [61] |
| (17) | Fluorescence spectroscopic determination of
triglyceride in human serum with window genetic algorithm partial least squares | Fluorescence spectroscopy | Nonlinear partial least squares (NLPLS); window
genetic algorithms partial least squares (WGAPLS) | [62] |
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