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Journal articles on the topic 'Laboratory reflectance spectroscopy'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Blažek, J., O. Jirsa, and M. Hrušková. "Prediction of wheat milling characteristics by near-infrared reflectance spectroscopy." Czech Journal of Food Sciences 23, No. 4 (2011): 145–51. http://dx.doi.org/10.17221/3384-cjfs.

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The aim of this study was to explore the use of NIR spectroscopy of laboratory milled flour to predict the milling characteristics of wheat. Quantitative traits of the milling process of wheat were predicted by analyses of NIR spectra of six sets consisting of 94 samples. Reference data were obtained by grinding the samples on the laboratory mill Chopin CD1-auto (France), spectral data were measured on spectrograph NIRSystem 6500. Commercial spectral analysis software WINISI II was used to collect spectra, develop calibration equations and evaluate calibration performance. The quality of predi

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Couillard, A., A. J. Turgeon, M. O. Westerhaus, and J. S. Shenk. "Determination of Soil Separates with near Infrared Reflectance Spectroscopy." Journal of Near Infrared Spectroscopy 4, no. 1 (1996): 201–12. http://dx.doi.org/10.1255/jnirs.91.

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The use of near infrared (NIR) reflectance spectroscopy to evaluate soil properties has started to receive more attention in recent years. The technology is evolving and research on NIR spectroscopic analysis using natural state samples is increasing. There is no method available today, besides NIR spectroscopy, that could simultaneously evaluate physical and chemical properties of a soil sample without processing the sample and affecting the visual quality of the site. More samples can be scanned in their natural undisturbed form resulting in a variety of particle sizes. Research on the effec

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Leone, Natalia, Valeria Ancona, Ciro Galeone, Carmine Massarelli, Vito Felice Uricchio, and Antonio Pasquale Leone. "Vis-NIR Reflectance Spectroscopy and PLSR to Predict PCB Content in Severely Contaminated Soils: A Perspective Approach." Applied Sciences 12, no. 16 (2022): 8283. http://dx.doi.org/10.3390/app12168283.

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Soil reclamation from polychlorinated biphenyls (PCBs) requires careful analysis in terms of their concentrations and spatial distribution. Conventional laboratory analysis, even if providing the careful evaluation of PCBs, is costly and time-consuming. Therefore, rapid and cost-effective techniques to replace traditional analytical approaches are required. The utility of visible-near infrared (vis-NIR) reflectance spectroscopy in conjunction with partial least square regression (PLSR) analysis was evaluated in this study. Spectral reflectance was measured in the laboratory on 28 soil samples

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Neumeister, Volker, Werner Jaross, Jobst Henker, and Georg Kaltenborn. "Simultaneous Determination of Fecal Fat, Nitrogen and Water by Fourier Transform near Infrared Reflectance Spectroscopy through a Polyethylene/Polyaminde Film." Journal of Near Infrared Spectroscopy 6, A (1998): A265—A272. http://dx.doi.org/10.1255/jnirs.206.

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The determination of fecal fat, nitrogen and water is important to get evidence for malassimilation and for estimating the efficacy of treatment with pancreatic enzymes. Standard methods for the determination of these parameters (van-de-Kamer method for fat determination, Kjeldahl method for nitrogen determination) are expensive, time-consuming and cumbersome for laboratory assistants. Near infrared (NIR) reflectance spectroscopy was evaluated as a potentially attractive alternative method, especially because the simultaneous measurement of fat, nitrogen and water content is possible. After ho

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Arganosa, G. C., T. D. Warkentin, V. J. Racz, S. Blade, C. Phillips, and H. Hsu. "Prediction of crude protein content in field peas using near infrared reflectance spectroscopy." Canadian Journal of Plant Science 86, no. 1 (2006): 157–59. http://dx.doi.org/10.4141/p04-195.

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A rapid, near-infrared spectroscopic method to predict the crude protein contents of 72 field pea lines grown in Saskatchewan, both whole seeds and ground samples, was established. Correlation coefficients between the laboratory and predicted values were 0.938 and 0.952 for whole seed and ground seed, respectively. Both methods developed are adequate to support our field pea breeding programme. Key words: Field pea, near-infrared reflectance spectroscopy, crude protein

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Simakina, Ya I., I. I. Kuzmin, Yu I. Fabelinsky, and T. Kh Chyong. "MANGANESE(II) DETERMINATION BY DIFFUSE REFLECTANCE SPECTROSCOPY." Fine Chemical Technologies 12, no. 5 (2017): 47–55. http://dx.doi.org/10.32362/2410-6593-2017-12-5-47-55.

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Results of testing a prototype light-emitting diod miniphotometer for rapid and sensitive elements determination both in laboratory and in field conditions are presented. The new photometer consists of two devices providing measurements of absorbance and diffuse reflectance, having a joint system of data management, registration and presentation of the results. The measurements of absorbance were registered in the visible spectrum. The explored reaction of Mn(II) with 1-(2-pyridylazo)-2-naphthol and the new reaction with 2-(2-quinolinazo)-5-diethylaminophenol were used to verify the device’s m

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Tegler, S. C., W. M. Grundy, M. J. Loeffler, et al. "Optical Constants of Ices Important to Planetary Science from Laboratory Reflectance Spectroscopy." Planetary Science Journal 5, no. 2 (2024): 31. http://dx.doi.org/10.3847/psj/ad1683.

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Abstract Laboratory-derived optical constants are essential for identifying ices and measuring their relative abundances on solar system objects. Almost all optical constants of ices important to planetary science come from experiments with transmission geometries. Here we describe our new experimental setup and the modification of an iterative algorithm in the literature to measure the optical constants of ices from experiments with reflectance geometries. We apply our techniques to CH4 ice and H2O ice samples and find good agreement between our values and those in the literature, except for

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Poldi, G., and S. Caglio. "Phthalocyanine Identification in Paintings by Reflectance Spectroscopy. A Laboratory andIn SituStudy." Оптика и спектроскопия 114, no. 6 (2013): 1018–25. http://dx.doi.org/10.7868/s0030403413060147.

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9

Zhang, Xia, Weichao Sun, Yi Cen, Lifu Zhang, and Nan Wang. "Predicting cadmium concentration in soils using laboratory and field reflectance spectroscopy." Science of The Total Environment 650 (February 2019): 321–34. http://dx.doi.org/10.1016/j.scitotenv.2018.08.442.

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10

Hallett, R. A., J. W. Hornbeck, and M. E. Martin. "Predicting Elements in White Pine and Red Oak Foliage with Visible-Near Infrared Reflectance Spectroscopy." Journal of Near Infrared Spectroscopy 5, no. 2 (1997): 77–82. http://dx.doi.org/10.1255/jnirs.101.

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Near infrared (NIR) reflectance spectroscopy was evaluated for its effectiveness at predicting Al, Ca, Fe, K, Mg and Mn concentrations in white pine ( Pinus strobus L.) and red oak ( Quercus rubra L.) foliage. A NIR spectrophotometer was used to scan 470 dried, ground foliage samples. These samples were used to develop calibration equations using a modified partial least squares (MPLS) regression technique. For the calibration equations, concentrations of Al, Ca, Fe, K, Mg and Mn as determined by acid digestion and laboratory analysis were regressed against second-difference absorbance values

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Ahmadi, Arman, Mohammad Emami, Andre Daccache, and Liuyue He. "Soil Properties Prediction for Precision Agriculture Using Visible and Near-Infrared Spectroscopy: A Systematic Review and Meta-Analysis." Agronomy 11, no. 3 (2021): 433. http://dx.doi.org/10.3390/agronomy11030433.

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Reflectance spectroscopy for soil property prediction is a non-invasive, fast, and cost-effective alternative to the standard laboratory analytical procedures. Soil spectroscopy has been under study for decades now with limited application outside research. The recent advancement in precision agriculture and the need for the spatial assessment of soil properties have raised interest in this technique. The performance of soil spectroscopy differs from one site to another depending on the soil’s physical composition and chemical properties but it also depends on the instrumentation, mode of use

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Johnson, Timothy J., Bruce E. Bernacki, Rebecca L. Redding, et al. "Intensity-Value Corrections for Integrating Sphere Measurements of Solid Samples Measured behind Glass." Applied Spectroscopy 68, no. 11 (2014): 1224–34. http://dx.doi.org/10.1366/13-07322.

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Accurate and calibrated directional-hemispherical reflectance spectra of solids are important for both in situ and remote sensing. Many solids are in the form of powders or granules and to measure their diffuse reflectance spectra in the laboratory, it is often necessary to place the samples behind a transparent medium such as glass for the ultraviolet (UV), visible, or near-infrared spectral regions. Using both experimental methods and a simple optical model, we demonstrate that glass (fused quartz in our case) leads to artifacts in the reflectance values. We report our observations that the

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Leone, Antonio, Guido Leone, Natalia Leone, et al. "Capability of Diffuse Reflectance Spectroscopy to Predict Soil Water Retention and Related Soil Properties in an Irrigated Lowland District of Southern Italy." Water 11, no. 8 (2019): 1712. http://dx.doi.org/10.3390/w11081712.

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In this study, we examined the potential of vis-NIR reflectance spectroscopy, coupled with partial least squares regression (PLSR) analysis, for the evaluation and prediction of soil water retention at field capacity (FC) and permanent wilting point (PWP) and related basic soil properties [organic carbon (OC), sand, silt, and clay contents] in an agricultural irrigated land of southern Italy. Soil properties were determined in the laboratory with reference to the Italian Official Methods for Soil Analysis. Vis-NIR reflectance spectra were measured in the laboratory, using a high-resolution spe

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Dedeoglu, Mert. "Estimation of critical nitrogen contents in peach orchards using visible-near infrared spectral mixture analysis." Journal of Near Infrared Spectroscopy 28, no. 5-6 (2020): 315–27. http://dx.doi.org/10.1177/0967033520939319.

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The aim of this study was to predict the critical nitrogen (N) content in peach trees using spectrometric measurements. A nutrient-controlled hydroponics experiment was designed for this purpose. Peach saplings were grown under three N conditions: deficient, sufficient, and excessive. The reflectance values of a plant leaves were measured using a handheld field spectroradiometer fitted with a plant probe. The N contents of leaves were determined in the laboratory and Gaussian mixture discriminant analysis (GMDA) was used to estimate N levels in the leaves from reflectance values. The N levels

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Lang, Harold R., and Steven M. Baloga. "Validation airborne visible-infrared imaging spectrometer data at Ray Mine, Arizona." Environmental and Engineering Geoscience 6, no. 3 (2000): 187–200. http://dx.doi.org/10.2113/gseegeosci.6.3.187.

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Abstract The fundamental promise of imaging spectroscopy is to provide surface mineralogy based on remotely-acquired, gridded reflectance spectra of comparable quality to those from high resolution laboratory and field spectrometers. For regulatory and environmental monitoring, validating imaging spectrometer data is a major issue with this emerging technology. In this paper we validate 1997 Airborne Visible-Infrared Imaging Spectrometer (AVIRIS) reflectance spectra covering 0.4 mu m-2.4 mu m at a stable, flat, manmade target at Ray Mine, Arizona, for EPA/NASA assessment of the utility of remo

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Barton II, Franklin E., and William R. Windham. "Determination of Acid-Detergent Fiber and Crude Protein in Forages by Near-Infrared Reflectance Spectroscopy: Collaborative Study." Journal of AOAC INTERNATIONAL 71, no. 6 (1988): 1162–67. http://dx.doi.org/10.1093/jaoac/71.6.1162.

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Abstract A Collaborative Study Was Conducted To Determine The Standard Error Of Difference Among Laboratories For Near-Infrared Reflectance Spectroscopic (Nirs) Determination Of Acid-Detergent Fiber (Adf) And Crude Protein In Forages. The 6 Participating Laboratories Were Members Of The Usda/Ars National Near-Infrared Reflectance Spectroscopy Forage Research Project. The Nirs Calibration Equations Were Developed In The Associate Referee's Laboratory For Crude Protein And Adf And Were Transferred To The Instrument In Each Of The Other Collaborating Laboratories. The Calibration Set Included Ove

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Gillon, Dominique, Richard Joffre, and Pierre Dardenne. "Predicting the stage of decay of decomposing leaves by near infrared reflectance spectroscopy." Canadian Journal of Forest Research 23, no. 12 (1993): 2552–59. http://dx.doi.org/10.1139/x93-316.

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To study mineral cycling in forest ecosystems, it is essential to know the decomposition rate of the litter. This study attempted to predict directly, by near infrared reflectance spectroscopy, the stage of decomposition of leaf litter expressed as the percentage of ash-free litter mass remaining (LMR). Leaf litter of 10 different species, with varied initial compositions and at different stages of decomposition produced by incubation in the laboratory under controlled conditions, were used in this study. The LMR calibrations were carried out on half of the samples of the various populations (

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18

Poh, Abdul Halim, Mohd Fadzil Jamaludin, Iman Aris Fadzallah, et al. "Diffuse reflectance spectroscopic analysis of barium sulfate as a reflection standard within 173–2500 nm: From pure to sintered form." Journal of Near Infrared Spectroscopy 27, no. 6 (2019): 393–401. http://dx.doi.org/10.1177/0967033519868241.

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The use of barium sulfate (BaSO4) as a low-cost reflectance standard has been documented for some time. In its pure salt form, the optical characteristics do have advantages compared to laboratory-grade sintered polytetrafluoroethylene (PTFE). However, its practical use has little advantage against the stability of PTFE. In this paper, a process of producing pelletized BaSO4, and characterization of its optical reflectance properties is reported. In its sintered form, data-driven analysis shows that BaSO4 is a commendable low-cost, high-reflection and a high-consistency material. The current s

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Cho, Yongjin, Alexander H. Sheridan, Kenneth A. Sudduth, and Kristen S. Veum. "Comparison of Field and Laboratory VNIR Spectroscopy for Profile Soil Property Estimation." Transactions of the ASABE 60, no. 5 (2017): 1503–10. http://dx.doi.org/10.13031/trans.12299.

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Abstract. In-field, in-situ data collection with soil sensors has potential to improve the efficiency and accuracy of soil property estimates. Optical diffuse reflectance spectroscopy (DRS) has been used to estimate important soil properties, such as soil carbon, nitrogen, water content, and texture. Most previous work has focused on laboratory-based visible and near-infrared (VNIR) spectroscopy using dried soil. The objective of this research was to compare estimates of laboratory-measured soil properties from a laboratory DRS spectrometer and an in-situ profile DRS spectrometer. Soil cores w

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Radpour, Roxanne, John K. Delaney, and Ioanna Kakoulli. "Acquisition of High Spectral Resolution Diffuse Reflectance Image Cubes (350–2500 nm) from Archaeological Wall Paintings and Other Immovable Heritage Using a Field-Deployable Spatial Scanning Reflectance Spectrometry Hyperspectral System." Sensors 22, no. 5 (2022): 1915. http://dx.doi.org/10.3390/s22051915.

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There is growing interest in bringing non-invasive laboratory-based analytical imaging tools to field sites to study wall paintings in order to collect molecular information on the macroscale. Analytical imaging tools, such as reflectance imaging spectrometry, have provided a wealth of information about artist materials and working methods, as well as painting conditions. Currently, scientific analyses of wall paintings have been limited to point-measurement techniques such as reflectance spectroscopy (near-ultraviolet, visible, near-infrared, and mid-infrared), X-ray fluorescence, and Raman s

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Rodríguez-Febereiro, Marta, Jorge Dafonte, María Fandiño, Javier J. Cancela, and José Ramón Rodríguez-Pérez. "Evaluation of Spectroscopy and Methodological Pre-Treatments to Estimate Soil Nutrients in the Vineyard." Remote Sensing 14, no. 6 (2022): 1326. http://dx.doi.org/10.3390/rs14061326.

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The characterization of vineyard soil is a key issue for crop management, which directly affects the quality and yield of grapes. However, traditional laboratory analysis of soil properties is tedious and both time and cost consuming, which is not suitable for precision viticulture. For this reason, a fast and convenient soil characterization technique is needed for soil quality assessment and precision soil management. Here, spectroscopy appears as a suitable alternative to assist laboratory analysis. This work focuses on estimating soil properties by spectroscopy. Our study was carried out u

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Wei, Yuan, Yu, Huang, and Cao. "Estimation of Arsenic Content in Soil Based on Laboratory and Field Reflectance Spectroscopy." Sensors 19, no. 18 (2019): 3904. http://dx.doi.org/10.3390/s19183904.

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: In this study, in order to solve the difficulty of the inversion of soil arsenic (As) content using laboratory and field reflectance spectroscopy, we examined the transferability of the prediction method. Sixty-three soil samples from the Daye city area of the Jianghan Plain region of China were taken and studied in this research. The characteristic wavelengths of soil As content were then extracted from the full bands based on iteratively retaining informative variables (IRIV) coupled with Spearman’s rank correlation analysis (SCA). Firstly, the IRIV algorithm was used to roughly select the

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Poldi, G., and S. Caglio. "Phthalocyanine identification in paintings by reflectance spectroscopy. A laboratory and in situ study." Optics and Spectroscopy 114, no. 6 (2013): 929–35. http://dx.doi.org/10.1134/s0030400x13060143.

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Deo, Ravin N., Arooran Sounthararajah, and Jayantha Kodikara. "Reflectance spectroscopy of asphalt pavement under moisture and diesel perturbations: A laboratory study." Construction and Building Materials 415 (February 2024): 135076. http://dx.doi.org/10.1016/j.conbuildmat.2024.135076.

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Rivard, Benoit, Jilu Feng, E. Ann Gallie, and Helen Francis. "Ore detection and grade estimation in the Sudbury mines using thermal infrared reflectance spectroscopy." GEOPHYSICS 66, no. 6 (2001): 1691–98. http://dx.doi.org/10.1190/1.1487111.

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This pilot study investigated the usefulness of thermal infrared reflectance (TIR) spectroscopy to estimate ore grade in an underground environment and to separate ore‐bearing samples from their host rocks. Work was carried out under laboratory conditions to test the initial concept; all samples had naturally broken faces to mimic the situation in a freshly blasted underground opening. A total of 26 samples, including massive and disseminated ores, were collected from eight mines around the Sudbury basin in Ontario. Rock surfaces were measured wet and dry to address environmental conditions en

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SURPRENANT, J., and R. MICHAUD. "EVALUATION OF NEAR INFRARED REFLECTANCE SPECTROSCOPY FOR PREDICTING FORAGE QUALITY IN TIMOTHY." Canadian Journal of Plant Science 68, no. 2 (1988): 471–80. http://dx.doi.org/10.4141/cjps88-058.

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Near infrared reflectance spectroscopy (NIRS) is a newly attractive technology introduced for the analysis of agricultural products and for which new instruments have been developed. The objective of this experiment was to evaluate the capabilities of the Technicon InfraAlyzer 500 (I/A-500), a scanner monochromator type instrument, with regard to its potential utilization in the breeding of timothy (Phleum pratense L.) for higher nutritional qualities. Special features of this instrument were also used to further assess its capacities once the wavelengths were deliberately reduced and set to m

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Windham, William R., and Franklin E. Barton. "Moisture Analysis in Forage by Near-Infrared Reflectance Spectroscopy: Collaborative Study of Calibration Methodology." Journal of AOAC INTERNATIONAL 74, no. 2 (1991): 324–31. http://dx.doi.org/10.1093/jaoac/74.2.324.

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Abstract Fifteen collaborating laboratories analyzed 16 forage samples including 3 blind duplicate pairs for moisture by air-oven (AO) method 7.007 (14th Ed.; 930.15, 15th Ed.) and nearinfrared reflectance spectroscopy (NIRS). Laboratories performed method 7.007 on 50 calibration samples and applied the NIRS calibration method Independently. NIRS moisture equations were used to predict the 16 test samples, and the values were compared to those for method 7.007. Moisture concentration of the test samples ranged from approximately 6 to 16%. Within-laboratory repeatability (sr) ranged from 0.10 t

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Lane, Melissa D., Edward A. Cloutis, Roger N. Clark та ін. "Reflectance Spectroscopy of 27 Fine-particulate Mineral Samples from Far-ultraviolet through Mid-infrared (0.12–20 μm)". Planetary Science Journal 5, № 8 (2024): 189. http://dx.doi.org/10.3847/psj/ad5af7.

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Abstract This paper presents far-ultraviolet through mid-infrared (0.12–20 μm) reflectance spectra of 27 fine-particulate (<10 μm) terrestrial mineral samples, providing continuous spectra that cover an unusually broad spectral range and are of unusually fine particle size relative to most existing spectral libraries. These spectra of common geologic materials are useful for future applications that study the dust on various planetary bodies. Reflectance spectra were acquired of the samples at multiple laboratories at multiple wavelengths. All of the spectra were compared to one another to

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Ciarniello, Mauro, Lyuba V. Moroz, Olivier Poch, et al. "VIS-IR Spectroscopy of Mixtures of Water Ice, Organic Matter, and Opaque Mineral in Support of Small Body Remote Sensing Observations." Minerals 11, no. 11 (2021): 1222. http://dx.doi.org/10.3390/min11111222.

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Visual-to-infrared (VIS-IR) remote sensing observations of different classes of outer solar system objects indicate the presence of water ice and organics. Here, we present laboratory reflectance spectra in the 0.5–4.2 μm spectral range of binary particulate mixtures of water ice, organics analogue (kerite), and an opaque iron sulphide phase (pyrrhotite) to investigate the spectral effects of varying mixing ratios, endmember grain size, and mixing modality. The laboratory spectra are also compared to different implementations of the Hapke reflectance model (Hapke, 2012). We find that minor amo

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Vergara-Díaz, Omar, Shawn Kefauver, José Luis Araus, and Iker Aranjuelo. "Development of novel technological approaches for a reliable crop characterization under changing environmental conditions." NIR news 31, no. 7-8 (2020): 14–19. http://dx.doi.org/10.1177/0960336020978741.

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The expansion of world population requires the development of new strategies and tools for agriculture. Extensive breeding and agronomic efforts over the past 50 years have been responsible for tripling cereal yields, while advances in grain quality have been less evident. Continuing advances in the techniques available to breeders offer the potential to increase the rate of genetic improvement aiming to develop resilient crop and better (more resource use efficient) varieties. Plant breeders want to be able to phenotype large numbers of lines rapidly and accurately identify the best progeny.

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Janik, L. J., R. H. Merry, and J. O. Skjemstad. "Can mid infrared diffuse reflectance analysis replace soil extractions?" Australian Journal of Experimental Agriculture 38, no. 7 (1998): 681. http://dx.doi.org/10.1071/ea97144.

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Summary. Recent developments in infrared spectroscopy and computer software, together with decreasing spectrometer costs, have resulted in an increase in the potential for soil analysis. Infrared spectroscopy in both the near and mid infrared ranges allows rapid acquisition of soil information at quantitative and qualitative, or indicator, levels for use in agriculture and environmental monitoring. In this paper, we describe how mid infrared diffuse reflectance analysis can provide results comparable in accuracy with many traditional extractive and digestion laboratory methods in soil studies,

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Kawamura, Kensuke, Yasuhiro Tsujimoto, Tomohiro Nishigaki, et al. "Laboratory Visible and Near-Infrared Spectroscopy with Genetic Algorithm-Based Partial Least Squares Regression for Assessing the Soil Phosphorus Content of Upland and Lowland Rice Fields in Madagascar." Remote Sensing 11, no. 5 (2019): 506. http://dx.doi.org/10.3390/rs11050506.

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As a laboratory proximal sensing technique, the capability of visible and near-infrared (Vis-NIR) diffused reflectance spectroscopy with partial least squares (PLS) regression to determine soil properties has previously been demonstrated. However, the evaluation of the soil phosphorus (P) content—a major nutrient constraint for crop production in the tropics—is still a challenging task. PLS regression with waveband selection can improve the predictive ability of a calibration model, and a genetic algorithm (GA) has been widely applied as a suitable method for selecting wavebands in laboratory

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Couillard, Andree-Anne, A. J. Turgeon, J. S. Shenk, and M. O. Westerhaus. "COMPARISON OF NEAR-INFRARED REFLECTANCE SPECTROSCOPY AND WET CHEMICAL ANALYSIS ON THATCH COMPOSITION." HortScience 29, no. 4 (1994): 249d—249. http://dx.doi.org/10.21273/hortsci.29.4.249d.

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The ability to predict thatch composition with the use of near-infrared reflectance spectroscopy (NIRS) was investigated. This study compared a new quick test for evaluating different thatch components using NIRS with the Van Soest wet chemical analysis. Creeping bentgrass (Agrostis palustris Huds.) thatch samples were taken from an experimental golf green at the Valentine Turfgrass Research Center at Penn State Univ. Fresh and dried ground samples were scanned from 400 to 2500 nm with a near-infrared monochromator. Dried ground samples were analyzed in four replicates using the Van Soest proc

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Homhuan, Sakda, Wanwisa Pansak, Siam Lawawirojwong, and Chada Narongrit. "Laboratory Spectroscopy Assessments of Rainfed Paddy Soil Samples on Visible and Near-Infrared Spectroscopy Reflectance for Estimating Soil Organic Carbon." Air, Soil and Water Research 9 (January 2016): ASWR.S40173. http://dx.doi.org/10.4137/aswr.s40173.

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Visible and near-infrared spectroscopy is a rapid, less expensive, and nondestructive alternative to conventional methods of soil analysis. This study aimed to investigate appropriate soil sample preparations and particle sizes for estimating soil organic carbon (SOC) through the use of laboratory spectroscopy. Rainfed paddy soils were sampled from 240 sampling sites to record their spectral reflectance and to measure their SOC contents in the laboratory. Partial least squares regression was applied to select the best model to estimate SOC using soil spectra. The results showed that the highes

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Hassoun, Abdo, Karsten Heia, Stein-Kato Lindberg, and Heidi Nilsen. "Performance of Fluorescence and Diffuse Reflectance Hyperspectral Imaging for Characterization of Lutefisk: A Traditional Norwegian Fish Dish." Molecules 25, no. 5 (2020): 1191. http://dx.doi.org/10.3390/molecules25051191.

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Lutefisk is a traditional Norwegian fish dish made from dried fish, such as cod or other whitefish. In Norway and other Nordic countries, lutefisk is considered among the most popular dishes served during Christmas or other festive occasions. However, to date, little attention has been paid to this product, and available research on the quality, processing, and chemistry of lutefisk is still limited. The quality of this very delicate product, with a high pH value, depends on many factors, such as the initial quality of raw materials (stockfish), the quantity of lye used during the preparation

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Greco, Frank A. "Reflectance Spectroscopy of Clotting Blood: A Description of the Time-Dependent Behavior." Archives of Pathology & Laboratory Medicine 128, no. 2 (2004): 173–80. http://dx.doi.org/10.5858/2004-128-173-rsocba.

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Abstract Context.—Research into whether cyclooxygenase-2 (COX-2) inhibitors affect thrombosis has been hampered by the lack of a specific assay. Erythrocytes modulate the effect of aspirin on platelets, which suggests that tests of whole blood clotting may be more sensitive. Objectives.—To determine whether reflectance spectroscopy of clotting blood generates useful information about coagulation and whether it shows an effect of COX-2 inhibitors. Design.—A survey of 14 adults examined the range of phenomena demonstrated by reflectance spectroscopy. These phenomena were compared before and afte

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Yan, Yan, Xiao Zhang, Dong Li, et al. "Laboratory shortwave infrared reflectance spectroscopy for estimating grain protein content in rice and wheat." International Journal of Remote Sensing 42, no. 12 (2021): 4467–92. http://dx.doi.org/10.1080/01431161.2021.1895450.

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Couillard, Andree-Ann, A. J. Turgeon, J. S. Shenk, and M. O. Westerhaus. "Comparison of Near-infrared Reflectance Spectroscopy and Standard Laboratory Analysis of Turf Soil Profile." HortScience 30, no. 4 (1995): 896B—896. http://dx.doi.org/10.21273/hortsci.30.4.896b.

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The ability to predict moisture and organic matter contents as well as soil particle size distribution of a golf course turf media with the use of near infrared reflectance spectroscopy (NIRS) was investigated. This study compared a new quick test, NIRS, with the use of wet chemical analysis for the evaluation of different soil characteristics. Samples were taken from greens and fairways of central Pennsylvania golf courses and from two turfgrass research centers at The Pennsylvania State Univ. Fresh samples were vertically scanned by 1.27-cm increments, from 400 to 2500 nm, with a near infrar

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Tufail, I., P. Paris, I. Jõgi, et al. "Application of diffuse reflectance spectroscopy for quick laboratory assessment of Estonian oil shale quality." Proceedings of the Estonian Academy of Sciences 69, no. 2 (2020): 134. http://dx.doi.org/10.3176/proc.2020.2.04.

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Windham, William R., Franklin E. Barton, and James A. Robertson. "Moisture Analysis of Forage by Near Infrared Reflectance Spectroscopy: Preliminary Collaborative Study and Comparison Between Karl Fischer and Oven Drying Reference Methods." Journal of AOAC INTERNATIONAL 71, no. 2 (1988): 256–62. http://dx.doi.org/10.1093/jaoac/71.2.256.

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Abstract A collaborative study of moisture analysis by neai infrared reflectance spectroscopy (NIRS) has been completed involving 5 laboratories and 20 forage samples. Near infrared reflectance spectroscopy calibrations for moisture were developed in the Associate Referee's laboratory from Karl Fischer (KF) and AOAC air oven (AO) (135°C for 2 h) moisture methods, respectively, and transferred to each collaborating laboratory's NIRS instrument. NIRS moisture data were validated with KF data from the Associate Referee's laboratory and AO data from each collaborating laboratory. The standard erro

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Giang, Phuc Van, Hung Vu Tuan Le, Hoa Thi Kim Ngo, Hieu Van Le, and Dat Thanh Huynh. "STUDY OF ALUMINIUM OXIDE THIN FILM PREPARED BY RF MAGNETRON SPUTTERING." Science and Technology Development Journal 12, no. 3 (2009): 5–15. http://dx.doi.org/10.32508/stdj.v12i3.2214.

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Al2O3 is used widely for their properties of high dielectric, anti- erosion and anti- atomic oxygen effects. This compound was investigated by scientists in various methods. At the first time, the High Technology Laboratory of the Natural Sciences University in Ho Chi Minh city fabricated Al2O3 thin film by rf sputtering method. Optical properties of the film were investigated by UV-VIS spectroscopy. Its composition were determined by IR transmittance and reflectance absorption (ATR) spectroscopy methods. The structures of thin film were determined by X-ray diffraction (XRD) and AFM spectrosco

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Bloesch, Philip M. "Prediction of the CEC to clay ratio using mid-infrared spectroscopy." Soil Research 50, no. 1 (2012): 1. http://dx.doi.org/10.1071/sr11137.

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The ratio of cation exchange capacity to clay (CCR) has been used as an index of clay mineralogy in subsoils low in organic matter in place of the standard X-ray diffraction measurement. Laboratory determination of this ratio is time-consuming and expensive and involves two analyses. In this paper, the CCR has been successfully predicted from mid-infrared diffuse reflectance spectra using partial least-squares regression (PLSR) with a square-root transformation of the CCR values (R2 = 0.860; root mean squared error of prediction = 0.089; relative per cent deviation = 2.660 for an independent v

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Cho, Yongjin, Kenneth A. Sudduth, and Scott T. Drummond. "Profile Soil Property Estimation Using a VIS-NIR-EC-Force Probe." Transactions of the ASABE 60, no. 3 (2017): 683–92. http://dx.doi.org/10.13031/trans.12049.

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Abstract. Combining data collected in-field from multiple soil sensors has the potential to improve the efficiency and accuracy of soil property estimates. Optical diffuse reflectance spectroscopy (DRS) has been used to estimate many important soil properties, such as soil carbon, water content, and texture. Other common soil sensors include penetrometers that measure soil strength and apparent electrical conductivity (ECa) sensors. Previous field research has related these sensor measurements to soil properties such as bulk density, water content, and texture. A commercial instrument that can

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Saputri, Riska Nurul, Ichwana Ichwana, and Agus Arip Munawar. "Prediksi Kadar Salinitas, pH dan C-Organik Tanah Menggunakan Near Infrared Kecamatan Baitussalam Kabupaten Aceh Besar." Jurnal Ilmiah Mahasiswa Pertanian 4, no. 4 (2020): 542–51. http://dx.doi.org/10.17969/jimfp.v4i4.12940.

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Abstrak. Akuisisi spektrum Near Infrared Reflectance Spectroscopy (NIRS) terkait kualitas dan kondisi tanah telah banyak dilakukan dalam berbagai penelitian. Pada penelitian ini menggunakan model prediksi Partileal Least Squares (PLS) dengan metode koreksi spektrum Mean Normalization (MN), Savitzky-Golay Smoothing, dan kombinasi Mean Normalization (MN) dan Savitzky-Golay Smoothing. Sampel tanah yang digunakan berasal dari Kecamatan Baitussalam Kabupaten Aceh Besar karena dianggap sesuai untuk prediksi kadar salinitas, pH dan C-Organik tanah. Hasil dari penelitian menunjukkan adanya korelasi an

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Martin, Mary E., and John D. Aber. "Analyses of Forest Foliage III: Determining Nitrogen, Lignin and Cellulose in Fresh Leaves Using near Infrared Reflectance Data." Journal of Near Infrared Spectroscopy 2, no. 1 (1994): 25–32. http://dx.doi.org/10.1255/jnirs.28.

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Near infrared laboratory data of whole fresh leaves were evaluated with respect to leaf chemical composition. Near infrared spectra were measured for 211 foliage samples including both broad- and needle-leaved species. A multiple linear regression analysis was used to determine if reflectance data from fresh leaf samples contains information on nitrogen, lignin and cellulose concentrations. Calibration equations were developed for all three leaf constituents, indicating that information on leaf biochemistry is present in the spectra of fresh as well as dried, ground leaf samples.

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Ospanov, Anuar, Igor Romanishkin, Tatiana Savelieva, et al. "Optical Differentiation of Brain Tumors Based on Raman Spectroscopy and Cluster Analysis Methods." International Journal of Molecular Sciences 24, no. 19 (2023): 14432. http://dx.doi.org/10.3390/ijms241914432.

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In the present study, various combinations of dimensionality reduction methods with data clustering methods for the analysis of biopsy samples of intracranial tumors were investigated. Fresh biopsies of intracranial tumors were studied in the Laboratory of Neurosurgical Anatomy and Preservation of Biological Materials of N.N. Burdenko Neurosurgery Medical Center no later than 4 h after surgery. The spectra of Protoporphyrin IX (Pp IX) fluorescence, diffuse reflectance (DR) and Raman scattering (RS) of biopsy samples were recorded. Diffuse reflectance studies were carried out using a white ligh

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Batten, G. D. "Plant analysis using near infrared reflectance spectroscopy: the potential and the limitations." Australian Journal of Experimental Agriculture 38, no. 7 (1998): 697. http://dx.doi.org/10.1071/ea97146.

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Summary. International Standards Committees have formally accepted methods using near infrared spectroscopy for the analysis of protein, moisture and hardness in grains, and protein, acid detergent fibre and moisture in forages. In addition, near infrared spectroscopy is used world-wide for the routine analysis of many constituents in various tissues of many plant species. The reasons for near infrared spectroscopy being adopted as the preferred analytical method in many laboratories include: minimal sample preparation is needed, analysis time is short, it is cost effective to analyse a single

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Lazaar, Ayoub, Hamid Mahyou, Asa Gholizadeh, et al. "Potential of VIS-NIR spectroscopy to characterize and discriminate topsoils of different soil types in the Triffa plain (Morocco)." Soil Science Annual 70, no. 1 (2019): 54–63. http://dx.doi.org/10.2478/ssa-2019-0007.

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Abstract This study aims to identify the influence of soil organic matter (OM) content and calcium carbonates (CaCO3) on soil reflectance and select the optimum spectral bands for discriminating between topsoils of different soil types situated in the irrigated perimeter of the Triffa plain (Morocco) using VIS-NIR reflectance spectroscopy. Soil samples were collected from the plow layer in 26 sampling sites. The spectral measurements were conducted in the field using an ASD Fieldspec portable spectroradiometer (350–2500 nm), while the soil samples were analyzed in the laboratory. The spectral

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Czarnik-Matusewicz, Henryk W., and Adolf Korniewicz. "Quality Control of Technical Casein—Near Infrared Reflectance Spectroscopy Method." Journal of Near Infrared Spectroscopy 6, A (1998): A303—A306. http://dx.doi.org/10.1255/jnirs.212.

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The near infrared (NIR) reflectance spectroscopy method can be used in the routine checking of the technical casein. All the chemical and physical characteristics of the product that influence the NIR spectrum affect the qualification. In order to monitor possible deviations in the preparation, it is advisable to carry out some test during the different manufacturing stages. These test are: determination of water, fat, ash, free and total acidity. A set of 66 ground casein samples was used to calibrate the output from NIR instrument InfraAlyzer 500 (Bran+Luebbe GmbH), taking reflectance readin

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Shi, Tiezhu, Yiyun Chen, Huizeng Liu, Junjie Wang, and Guofeng Wu. "Soil Organic Carbon Content Estimation with Laboratory-Based Visible–Near-Infrared Reflectance Spectroscopy: Feature Selection." Applied Spectroscopy 68, no. 8 (2014): 831–37. http://dx.doi.org/10.1366/13-07294.

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