Rahul Joshi

ORCID: 0000-0002-5834-2893
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About
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Research Areas
  • Spectroscopy and Chemometric Analyses
  • Advanced Chemical Sensor Technologies
  • Identification and Quantification in Food
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Phytochemicals and Antioxidant Activities
  • Enhanced Oil Recovery Techniques
  • Melamine detection and toxicity
  • Remote Sensing in Agriculture
  • Hydraulic Fracturing and Reservoir Analysis
  • Advanced Image Fusion Techniques
  • Reservoir Engineering and Simulation Methods
  • Pesticide Residue Analysis and Safety
  • Essential Oils and Antimicrobial Activity
  • Synthesis and Reactions of Organic Compounds
  • Analytical Methods in Pharmaceuticals
  • Analytical Chemistry and Chromatography
  • Analytical chemistry methods development
  • Image and Signal Denoising Methods
  • Smart Agriculture and AI
  • Water Quality Monitoring and Analysis
  • Dye analysis and toxicity
  • Remote Sensing and LiDAR Applications
  • Synthesis of β-Lactam Compounds
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Satellite Image Processing and Photogrammetry

Symbiosis International University
2025

Chungnam National University
2019-2024

Dehradun Institute of Technology University
2022

Parul University
2015

B. V. Patel Pharmaceutical Education and Research Development Centre
2014-2015

University of Tulsa
2004-2005

This study reported an application of Au nanogap substrates for surface-enhanced Raman scattering (SERS) measurements to quantitatively analyze melamine and its derivative products at trace levels in pet liquid food (milk) combined with a waveband selection approach, namely variable importance projection (VIP). Six different concentrations melamine, cyanuric acid, acid were created, SERS spectra acquired from 550 1620 cm−1. Detection was possible up 200 picomolar (pM) melamine-contaminated...

10.1016/j.crfs.2024.100726 article EN cc-by-nc-nd Current Research in Food Science 2024-01-01

Melamine and its derivative, cyanuric acid, are occasionally added to pet meals because of their nitrogen-rich qualities, leading the development several health-related issues. A nondestructive sensing technique that offers effective detection must be developed address this problem. In conjunction with machine learning deep technique, Fourier transform infrared (FT-IR) spectroscopy was employed in investigation for quantitative measurement eight different concentrations melamine acid food....

10.3390/s23115020 article EN cc-by Sensors 2023-05-24

Almonds are nutrient-rich nuts. Due to their high level of consumption and relatively price, production is targeted for illegal practices, with the intention earning more profit. The most common adulterants based on superficial matching, as an adulterant, apricot kernel comparatively inexpensive almost identical in color, texture, odor, other physicochemical characteristics almonds. In this study, a near-infrared hyperspectral imaging (NIR-HSI) system wavelength range 900–1700 nm...

10.3390/app10186569 article EN cc-by Applied Sciences 2020-09-20

The widely used techniques for analyzing the quality of powdered food products focus on targeted detection with a low-throughput screening samples. Owing to potentially significant health threats and large-scale adulterations, regulatory agencies industries require rapid non-destructive analytical unexpected compounds present in products. Accordingly, shortwave-infrared hyperspectral imaging (SWIR-HSI) high throughput authenticity analysis almond powder was investigated this study. Two...

10.3390/s20205855 article EN cc-by Sensors 2020-10-16

The increasing interest in plant phenolic compounds the past few years has become necessary because of their several important physicochemical properties. Thus, identification through non-destructive methods crucial. This study carried out comparative measurements Arabidopsis thaliana leaf powder sample using Fourier-transform infrared and near-infrared spectroscopic techniques under six distinct stress conditions. prediction analysis 600 samples different conditions (LED lights drought) was...

10.3390/plants11070836 article EN cc-by Plants 2022-03-22

Increasing food demands, global climatic variations, and population growth have spurred the of crop yield driven by plant phenotyping in age big data. High-throughput sorghum at each organ level is vital molecular breeding to increase yield. LiDAR (light detection ranging) sensor provides 3D point clouds plants with advantages high precision, resolution, rapid measurement. However, need develop robust algorithms for extracting phenotypic traits using cloud. This study utilized four...

10.1109/jstars.2023.3312815 article EN cc-by-nc-nd IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2023-01-01

In remote sensing data, geometric distortions are observed due to acquisition system and the movements of platform.A correction image is required whenever be compared with existing maps or other images.This review paper enlists various Preprocessing techniques for raw images.Preprocessing satellite prerequisite further analysis applications such as change detection, object identification, classification etc.

10.5120/20389-2655 article EN International Journal of Computer Applications 2015-04-22

In this work, environmentally friendly fluorescent carbon dots (C-dots) were developed for the purpose of thiram identification in leaves perilla plants. Powdered plant petals from Hibiscus rosa-sinensis hydrothermally combined to create C-dots. Analytical techniques, such as scanning electron microscopy, energy dispersive X-ray spectroscopy, high resolution transmission Raman ultraviolet Fourier infrared and photoluminescence employed examine properties To enhance their functionality, an...

10.1021/acsomega.4c07090 article EN cc-by-nc-nd ACS Omega 2024-11-21

Methods that combine targeted techniques and chemometrics for analyzing food authenticity can only facilitate the detection of predefined or known adulterants, while unknown adulterants cannot be detected using such methods. Therefore, non-targeted in products is currently great demand. In this study, FT-IR FT-NIR spectroscopic were used combination with chemometric approaches, as one-class partial least squares (OCPLS) data-driven soft independent modeling class analogy (DD-SIMCA), to...

10.3390/foods9070876 article EN cc-by Foods 2020-07-03

This study performed non-destructive measurements of phenolic compounds in moringa powder using Fourier Transform Infrared (FT-IR) spectroscopy within a spectral range 3500–700 cm−1. Three major compounds, namely, kaempferol, benzoic acid, and rutin, were measured five different varieties powder, which was approved with respect to the high-performance liquid chromatography (HPLC) method. The prediction performance three regression methods, i.e., partial least squares (PLSR), principal...

10.3390/agriculture12010010 article EN cc-by Agriculture 2021-12-22

Ginseng is a perennial herbaceous plant that has been widely consumed for medicinal and dietary purposes since ancient times. plants require shade cool temperatures better growth; climate warming rising heat waves have negative impact on the plants’ productivity yield quality. Since Republic of Korea’s temperature increasing beyond normal expectations seriously threatening ginseng plants, an early-stage non-destructive diagnosis stressed essential before symptomatic manifestation to produce...

10.3390/app13010031 article EN cc-by Applied Sciences 2022-12-20

The stability of the drug actarit was studied under different stress conditions like hydrolysis (acid, alkaline and neutral), oxidation, photolysis thermal degradation as recommended by International Conference on Harmonization (ICH) guidelines. Drug found to be unstable in acidic, basic photolytic produced a common product while oxidative condition three additional products. impassive neutral hydrolysis, dry accelerated conditions. Degradation products were identified, isolated...

10.1016/j.jpha.2014.01.002 article EN cc-by-nc-nd Journal of Pharmaceutical Analysis 2014-01-26

Abstract. The objective of this study was to predict the moisture content (MC), soluble solids (SSC), and titratable acidity (TA) in bell peppers during storage (18°C, 85% relative humidity) over 12 days, based on near-infrared hyperspectral imaging (NIR-HSI) 1000-1500 nm wavelength range. mean spectra 148 mature were extracted from images, multivariate calibration models built using partial least squares (PLS) regression with different preprocessing techniques. most effective wavelengths...

10.13031/trans.12482 article EN Transactions of the ASABE 2018-01-01
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