Lalit Mohan Kandpal

ORCID: 0000-0002-1377-5361
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About
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Research Areas
  • Spectroscopy and Chemometric Analyses
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Advanced Chemical Sensor Technologies
  • Smart Agriculture and AI
  • Meat and Animal Product Quality
  • Identification and Quantification in Food
  • Dye analysis and toxicity
  • Leaf Properties and Growth Measurement
  • Essential Oils and Antimicrobial Activity
  • Food Quality and Safety Studies
  • Soil Geostatistics and Mapping
  • Advanced Measurement and Detection Methods
  • Food Drying and Modeling
  • Freezing and Crystallization Processes
  • Garlic and Onion Studies
  • Mycotoxins in Agriculture and Food
  • Genomics, phytochemicals, and oxidative stress
  • Microencapsulation and Drying Processes
  • Computational Drug Discovery Methods
  • Food composition and properties

Chungnam National University
2013-2022

Wageningen University & Research
2022

Ghent University
2022

The objective of this study was to develop a nondestructive method evaluate chemical components such as moisture content (MC), pH, and soluble solid (SSC) in intact tomatoes by using hyperspectral imaging the range 1000–1550 nm. mean spectra 95 matured tomato samples were extracted from images, multivariate calibration models built partial least squares (PLS) regression with different preprocessing spectra. results showed that model developed PLS based on Savitzky–Golay (S–G)...

10.3390/app7010109 article EN cc-by Applied Sciences 2017-01-21

Viability is an important quality factor influencing seed germination and crop yield. Current seed-viability testing methods rely on conventional manual inspections, which use destructive, labor-intensive time-consuming measurements. The aim of this study to distinguish between viable nonviable soybean seeds, using a near-infrared (NIR) hyperspectral imaging (HSI) technique in rapid nondestructive manner. data extracted from the NIR⁻HSI seeds were analyzed partial least-squares...

10.3390/s19020271 article EN cc-by Sensors 2019-01-11

Spectroscopy has proven to be an efficient tool for measuring the properties of meat. In this article, hyperspectral imaging (HSI) techniques are used determine moisture content in cooked chicken breast over VIS/NIR (400–1,000 nm) spectral range. Moisture measurements were performed using oven drying method. A partial least squares regression (PLSR) model was developed extract a relationship between HSI spectra and content. full wavelength range, PLSR possessed maximum 0.90 SEP 0.74%. For...

10.3390/s131013289 article EN cc-by Sensors 2013-09-30

As adulteration of foodstuffs with Sudan dye, especially paprika- and chilli-containing products, has been reported some frequency, this issue become one focal point for addressing food safety. FTIR spectroscopy used extensively as an analytical method quality control safety determination products. Thus, the use rapid dye in paprika powder was investigated study. A net analyte signal (NAS)-based methodology, named HLA/GO (hybrid linear analysis literature), applied to spectral data predict...

10.1080/19440049.2017.1290828 article EN Food Additives & Contaminants Part A 2017-02-17

Monitoring the amount of active pharmaceutical ingredient (API) in finished dosage form is important to ensure content uniformity product. In this report, we summarize development and validation a hyperspectral imaging (HSI) technique for rapid in-line prediction microtablets with concentrations varying from 60 130% API (w/w). The tablet spectra different were collected using an HSI system within visible/near-infrared (vis/NIR; 400–1000 nm) short-wave infrared (SWIR; 1100–2500 regions....

10.1021/acs.analchem.6b02969 article EN Analytical Chemistry 2016-10-12

Previous works indicate that data fusion, compared to single modelling can improve the assessment of soil attributes using spectroscopy. In this work, two different kinds proximal sensing techniques i.e., mid-infrared (MIR) and X-ray fluorescence (XRF) spectroscopy were evaluated, for seven fertility attributes. These include pH, organic carbon (OC), phosphorous (P), potassium (K), magnesium (Mg), calcium (Ca) moisture contents (MC). Three spectra fusion (SF) (spectra concatenation)...

10.3390/s22093459 article EN cc-by Sensors 2022-05-01

The potential adulteration of foodstuffs has led to increasing concern regarding food safety and security, in particular for powdered products where cheap ground materials or hazardous chemicals can be added increase the quantity powder obtain desired aesthetic quality. Due resulting health threat consumers, development a fast, label-free, non-invasive technique detection over wide range is necessary. We therefore report rapid Raman hyperspectral imaging authenticity analysis. system...

10.1371/journal.pone.0195253 article EN public-domain PLoS ONE 2018-04-30

The feasibility of a color machine vision technique with the one-class classification method was investigated for quality assessment tomato seeds. health seeds is an important factor that affects their germination rate, which may be affected by seed contamination. Hence, segregation healthy from diseased and infected seeds, along foreign materials broken to improve final yield. In this study, custom-built system containing camera white light emitting diode (LED) source adopted image...

10.3390/s20092690 article EN cc-by Sensors 2020-05-08

Determining the quality of meat has always been essential for food industry because consumers prefer superior meat. Therefore, requires development a rapid and non-destructive method meat-quality determination. Over past few years, number techniques have presented monitoring meat–chemical attributes. However, most previous are quite expensive, destructive, require complex hardware to operate. Thus, in this work, we demonstrate low-cost sensing technique (eliminating expensive equipment...

10.3390/app9050912 article EN cc-by Applied Sciences 2019-03-04

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

The grading of ginseng (Panax ginseng) including the evaluation internal quality attributes is essential in industry for control. Assessment inner whitening, a major disorder, must be conducted when identifying high ginseng. Conventional methods detecting whitening root samples use manual inspection, which time-consuming and inaccurate. This study develops an measurement technique using near-infrared transmittance spectral imaging to evaluate samples. Principle component analysis (PCA) was...

10.3390/s20010273 article EN cc-by Sensors 2020-01-03

Abstract In this study, hyperspectral imaging ( HSI ) sensor was used to rapidly estimate the content of an active pharmaceutical ingredient API in powder blend samples order optimize small molecule formulation. Small containing excipients and varying concentrations were prepared using a blender. The spectrum each obtained short‐wave infrared SWIR system over wavelength range 1,000–2,500 nm. use method predict concentration validated against that high‐performance liquid chromatography...

10.1002/mds3.10006 article EN Medical Devices & Sensors 2018-02-01

본 논문에서는 가시광 및 근적외선(VIS/NIR) 분광기술을 이용하여 혈란을 비파괴적으로 검출할 수 있는 측정방법을 개발하고자 하였다. 실험에 사용된 혈란 시료는 0.1 mL, 0.07 0.04 0.01 mL의 닭의 혈을 인공적으로 노른자 주변에 주입하여 제작하였다. 분석을 위해 스펙트럼 영역은 471 ~ 1154nm 이었으며, 해상도는 1.5 nm이었다. 측정을 위한 두 개 광원의 각도는 30도이었으며 광원과 시료간 거리는 100 mm로 설정하였다. 또한 열로 인해 시료가 손상되지 않도록 노출시간은 30 ms으로 측정된 스펙트럼에 부분최소자승 분류방법(PLS-DA)을 적용하여 선별모델을 개발하였다. 개발된 모델들로 분석한 결과 혈란의 선별 정확도는 mL 시료에 대해 각각 97.9%, 94.8%, 86.5% 이었다. 근적외선 기술은 이상의 혈점이 포함된 할 가능성을 보여 주었다. The aim of this study was the non-destructive...

10.7779/jksnt.2014.34.1.31 article EN Journal of the Korean Society for Nondestructive Testing 2014-02-28
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