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Journal articles on the topic 'Beer-Lambert'

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Published: 4 June 2021
Last updated: 8 February 2022

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1

Mitschele, Jonathan. "Beer-Lambert Law." Journal of Chemical Education 73, no. 11 (November 1996): A260. http://dx.doi.org/10.1021/ed073pa260.3.

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2

Calloway, Dean. "Beer-Lambert Law." Journal of Chemical Education 74, no. 7 (July 1997): 744. http://dx.doi.org/10.1021/ed074p744.3.

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3

Changjan, Arpapong, Sathit Punchoo, and Pongkaew Udomsamuthirun. "Magnetic Attenuation in Superconducting Cylinders by Beer-Lambert Modified Model." Applied Mechanics and Materials 548-549 (April 2014): 211–15. http://dx.doi.org/10.4028/www.scientific.net/amm.548-549.211.

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In this research, we study the magnetic attenuation of the superconducting cylinders by Beer-Lambert modified model. In optics, the Beer-Lambert model relates the absorption of light to the properties of the material through which the light is traveling. We modified Beer-Lambert model to describe behavior of magnetic field attenuation by superconducting cylinders. The penetrate field and London penetration depth are derived analytically. Finally, the attenuation of applied magnetic field is investigated and applied to cylindrical superconductors.
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4

Ricci, Robert W., Mauri Ditzler, and Lisa P. Nestor. "Discovering the Beer-Lambert Law." Journal of Chemical Education 71, no. 11 (November 1994): 983. http://dx.doi.org/10.1021/ed071p983.

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5

Casasanta, Giampietro, and Roberto Garra. "Towards a Generalized Beer-Lambert Law." Fractal and Fractional 2, no. 1 (January 31, 2018): 8. http://dx.doi.org/10.3390/fractalfract2010008.

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6

Ricci, Robert W., and Lisa P. Nestor. "Beer-Lambert Law (the authors reply)." Journal of Chemical Education 73, no. 11 (November 1996): A261. http://dx.doi.org/10.1021/ed073pa261.1.

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7

Fearn, Tom. "Multiplicative Pre-Treatments Spoil Beer-Lambert." NIR news 27, no. 2 (March 2016): 25–26. http://dx.doi.org/10.1255/nirn.1596.

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8

Kocsis, L., P. Herman, and A. Eke. "The modified Beer–Lambert law revisited." Physics in Medicine and Biology 51, no. 5 (February 15, 2006): N91—N98. http://dx.doi.org/10.1088/0031-9155/51/5/n02.

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9

Combes, Didier, Michaël Chelle, Hervé Sinoquet, and Claude Varlet-Grancher. "Evaluation of a turbid medium model to simulate light interception by walnut trees (hybrid NG38×RA and Juglans regia) and sorghum canopies (Sorghum bicolor) at three spatial scales." Functional Plant Biology 35, no. 10 (2008): 823. http://dx.doi.org/10.1071/fp08059.

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Light is one of the most important components to be included in functional–structural plant models that simulate the biophysical processes, such as photosynthesis, evapotranspiration and photomorphogenesis, involved in plant growth and development. In general, in these models, light is treated using a turbid medium approach in which radiation attenuation is described by the Beer–Lambert law. In the present study, we assessed the hypothesis of leaf random dispersion in the Beer–Lambert law at the whole-canopy, horizontal-layer and local scales. We compared two calculation methods of radiation attenuation: a 3D turbid medium model using the Beer–Lambert law and the other based on a projective method. The two models were compared by applying the calculations to two walnut trees and two sorghum canopies, which have contrasting structural characteristics. The structures of these canopies were measured in 3D to take into account the arrangement and orientation features of the plant elements. The assumptions made by the Beer–Lambert law allowed adequate simulation of light interception in a structure with little overlapping at the horizontal-layer and whole-canopy scales. At the local scale, discrepancies between the turbid medium model and the model based on a virtual plant were reduced with an adequate choice of structural parameters, such as the leaf inclination distribution function.
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10

Dong, Z., and Xi Chen Yang. "Theoretical Simulation of Temperature Field of Coaxial Powder Stream in Laser Cladding." Key Engineering Materials 392-394 (October 2008): 245–49. http://dx.doi.org/10.4028/www.scientific.net/kem.392-394.245.

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Theoretical models of temperature field are presented from Beer-Lambert law. This paper uses Beer-Lambert law to calculate powder flow on the absorption of energy and applies the law of the conservation of the energy to calculate the temperature of powder stream. This paper analyzes the effect of the various factors on the temperature field of powder flow. Temperature field of powder stream is measured by CCD camera. Finally the comparison of the theoretical results and the experimental results indicates the accuracy of the theoretical calculation.
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11

Mäntele, Werner, and Erhan Deniz. "UV–VIS absorption spectroscopy: Lambert-Beer reloaded." Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 173 (February 2017): 965–68. http://dx.doi.org/10.1016/j.saa.2016.09.037.

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12

Onorato, Pasquale, Luigi M. Gratton, Marta Polesello, Alessandro Salmoiraghi, and Stefano Oss. "The Beer Lambert law measurement made easy." Physics Education 53, no. 3 (April 5, 2018): 035033. http://dx.doi.org/10.1088/1361-6552/aab441.

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13

Baker, Wesley B., Ashwin B. Parthasarathy, David R. Busch, Rickson C. Mesquita, Joel H. Greenberg, and A. G. Yodh. "Modified Beer-Lambert law for blood flow." Biomedical Optics Express 5, no. 11 (October 28, 2014): 4053. http://dx.doi.org/10.1364/boe.5.004053.

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14

Sánchez, Hernán R. "Seven derivations of the Beer-Lambert law." Spectroscopy Letters 54, no. 2 (January 26, 2021): 133–39. http://dx.doi.org/10.1080/00387010.2021.1873149.

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15

Liu, Peng, Carol J. Ptacek, David W. Blowes, and Y. Zou Finfrock. "A beam path-based method for attenuation correction of confocal micro-X-ray fluorescence imaging data." Journal of Analytical Atomic Spectrometry 32, no. 8 (2017): 1582–89. http://dx.doi.org/10.1039/c7ja00148g.

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16

Mortensen, Niels Asger, and Sanshui Xiao. "Slow-light enhancement of Beer-Lambert-Bouguer absorption." Applied Physics Letters 90, no. 14 (April 2, 2007): 141108. http://dx.doi.org/10.1063/1.2720270.

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17

Ryu, Meguya, Reo Honda, Armandas Balčytis, Jitraporn Vongsvivut, Mark J. Tobin, Saulius Juodkazis, and Junko Morikawa. "Hyperspectral mapping of anisotropy." Nanoscale Horizons 4, no. 6 (2019): 1443–49. http://dx.doi.org/10.1039/c9nh00340a.

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18

Lykos, Peter. "The Beer-Lambert law revisited: A development without calculus." Journal of Chemical Education 69, no. 9 (September 1992): 730. http://dx.doi.org/10.1021/ed069p730.

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19

Husain, Iftak, Amarjyoti Choudhury, and Pabitra Nath. "Fiber-Optic Volumetric Sensor Based on Beer-Lambert Principle." IEEE Sensors Journal 13, no. 9 (September 2013): 3345–46. http://dx.doi.org/10.1109/jsen.2013.2272795.

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20

Langhals, H., G. Abbt-Braun, and F. H. Frimmel. "Association of Humic Substances: Verification of Lambert-Beer Law." Acta hydrochimica et hydrobiologica 28, no. 6 (December 2000): 329–32. http://dx.doi.org/10.1002/1521-401x(200012)28:6<329::aid-aheh329>3.0.co;2-e.

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21

Tolbin, Alexander Yu, Victor E. Pushkarev, Larisa G. Tomilova, and Nikolay S. Zefirov. "Threshold concentration in the nonlinear absorbance law." Physical Chemistry Chemical Physics 19, no. 20 (2017): 12953–58. http://dx.doi.org/10.1039/c7cp01514c.

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Deviation from the Beer–Lambert law at high concentrations was described in terms of the nonlinear absorbance on the basis of a new empirical equation, which includes the threshold concentration as a breakpoint on the continuous function ‘absorption coefficient vs. concentration’.
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22

Qu, Yonghua, Ahmed Shaker, Lauri Korhonen, Carlos Alberto Silva, Kun Jia, Luo Tian, and Jinling Song. "Direct Estimation of Forest Leaf Area Index based on Spectrally Corrected Airborne LiDAR Pulse Penetration Ratio." Remote Sensing 12, no. 2 (January 8, 2020): 217. http://dx.doi.org/10.3390/rs12020217.

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The leaf area index (LAI) is a crucial structural parameter of forest canopies. Light Detection and Ranging (LiDAR) provides an alternative to passive optical sensors in the estimation of LAI from remotely sensed data. However, LiDAR-based LAI estimation typically relies on empirical models, and such methods can only be applied when the field-based LAI data are available. Compared with an empirical model, a physically-based model—e.g., the Beer–Lambert law based light extinction model—is more attractive due to its independent dataset with training. However, two challenges are encountered when applying the physically-based model to estimate LAI from discrete LiDAR data: i.e., deriving the gap fraction and the extinction coefficient from the LiDAR data. We solved the first problem by integrating LiDAR and hyperspectral data to transfer the LiDAR penetration ratio to the forest gap fraction. For the second problem, the extinction coefficient was estimated from tiled (1 km × 1 km) LiDAR data by nonlinearly optimizing the cost function of the angular LiDAR gap fraction and simulated gap fraction from the Beer–Lambert law model. A validation against LAI-2000 measurements showed that the estimates were significantly correlated to the reference LAI with an R2 of 0.66, a root mean square error (RMSE) of 0.60 and a relative RMSE of 0.15. We conclude that forest LAI can be directly estimated by the nonlinear optimization method utilizing the Beer–Lambert model and a spectrally corrected LiDAR penetration ratio. The significance of the proposed method is that it can produce reliable remotely sensed forest LAI from discrete LiDAR and spectral data when field-measured LAI are unavailable.
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23

Scarminio, J., A. Urbano, and B. Gardes. "The Beer-Lambert law for electrochromic tungsten oxide thin films." Materials Chemistry and Physics 61, no. 2 (October 1999): 143–46. http://dx.doi.org/10.1016/s0254-0584(99)00132-7.

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24

Salido, Ezequiel M., Leonardo N. Servalli, Juan Carlos Gomez, and Claudio Verrastro. "Phototransduction early steps model based on Beer-Lambert optical law." Vision Research 131 (February 2017): 75–81. http://dx.doi.org/10.1016/j.visres.2016.12.012.

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25

Shabanov, N., and J. P. Gastellu-Etchegorry. "The stochastic Beer–Lambert–Bouguer law for discontinuous vegetation canopies." Journal of Quantitative Spectroscopy and Radiative Transfer 214 (July 2018): 18–32. http://dx.doi.org/10.1016/j.jqsrt.2018.04.021.

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26

Sassaroli, Angelo, and Sergio Fantini. "Comment on the modified Beer–Lambert law for scattering media." Physics in Medicine and Biology 49, no. 14 (July 6, 2004): N255—N257. http://dx.doi.org/10.1088/0031-9155/49/14/n07.

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27

Abitan, Haim, Henrik Bohr, and Preben Buchhave. "Correction to the Beer-Lambert-Bouguer law for optical absorption." Applied Optics 47, no. 29 (October 7, 2008): 5354. http://dx.doi.org/10.1364/ao.47.005354.

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28

Mayerhöfer, Thomas G., Susanne Pahlow, and Jürgen Popp. "The Bouguer‐Beer‐Lambert Law: Shining Light on the Obscure." ChemPhysChem 21, no. 18 (August 26, 2020): 2029–46. http://dx.doi.org/10.1002/cphc.202000464.

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29

Mayerhöfer, Thomas G., Susanne Pahlow, and Jürgen Popp. "The Bouguer‐Beer‐Lambert Law: Shining Light on the Obscure." ChemPhysChem 21, no. 18 (September 10, 2020): 2025. http://dx.doi.org/10.1002/cphc.202000743.

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30

Mayerhöfer, Thomas G., Susanne Pahlow, and Jürgen Popp. "The Bouguer‐Beer‐Lambert Law: Shining Light on the Obscure." ChemPhysChem 21, no. 18 (September 15, 2020): 2028. http://dx.doi.org/10.1002/cphc.202000742.

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31

Буланин, К. М., А. Ю. Михелева, Д. Н. Щепкин, and А. В. Рудакова. "Определение коэффициента экстинкции моноксида углерода, адсорбированного на диоксиде титана." Оптика и спектроскопия 129, no. 11 (2021): 1400. http://dx.doi.org/10.21883/os.2021.11.51639.2511-21.

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The adsorption of carbon monoxide on the TiO2 (anatase) surface at room temperature was studied by infrared spectroscopy and volumetry. The experimental data obtained indicate weak adsorption of CO molecules on the exponentially heterogeneous surface. The adsorption heat decreases according to the logarithmic law in the coverage range of 0.002-0.03. The extinction coefficient of adsorbed CO for the heterogeneous CO/TiO2 system is calculated using the Bouguer-Lambert-Beer law with correction for the Lorenz field taken into account. The conditions for the applicability of the Bouguer-Lambert-Beer's law for the study of heterogeneous systems are discussed.
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32

Xu, Di Jian, Mao Cheng Zhang, Sen Wang, and Jun Ling Yang. "Technology Research on Intelligent Infrared Gas Analyzer." Advanced Materials Research 765-767 (September 2013): 2351–54. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.2351.

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The theoretical basis of the Infrared analyzer is expounded in this paper. To Lambert-Beer absorption law, the paper has made math derivation and gives introduction about Infrared absorption spectra of some common gas. The focus is on spectroscopic techniques involved in Infrared gas analyzer, optical path design of optical system and monitoring technology.
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33

Ong, Pek Ek, Audrey Kah Ching Huong, Xavier Toh Ik Ngu, Farhanahani Mahmud, and Sheena Punai Philimon. "Modified lambert beer for bilirubin concentration and blood oxygen saturation prediction." International Journal of Advances in Intelligent Informatics 5, no. 2 (July 26, 2019): 113. http://dx.doi.org/10.26555/ijain.v5i2.363.

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Noninvasive measurement of health parameters such as blood oxygen saturation and bilirubin concentration predicted via an appropriate light reflectance model based on the measured optical signals is of eminent interest in biomedical research. This is to replace the use of conventional invasive blood sampling approach. This study aims to investigate the feasibility of using Modified Lambert Beer model (MLB) in the prediction of one’s bilirubin concentration and blood oxygen saturation value, SO2. This quantification technique is based on a priori knowledge of extinction coefficients of bilirubin and hemoglobin derivatives in the wavelength range of 440 – 500 nm. The validity of the prediction was evaluated using light reflectance data from TracePro raytracing software for a single-layered skin model with varying bilirubin concentration. The results revealed some promising trends in the estimated bilirubin concentration with mean ± standard deviation (SD) error of 0.255 ± 0.025 g/l. Meanwhile, a remarkable low mean ± SD error of 9.11 ± 2.48 % was found for the predicted SO2 value. It was concluded that these errors are likely due to the insufficiency of the MLB at describing changes in the light attenuation with the underlying light absorption processes. In addition, this study also suggested the use of a linear regression model deduced from this work for an improved prediction of the required health parameter values.
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34

Odashima, Jun, Yukio Shinoda, and Hisashi Takeda. "Estimation Method of Photovoltaic Power Output using Extended Lambert-Beer Law." IEEJ Transactions on Power and Energy 140, no. 2 (February 1, 2020): 42–48. http://dx.doi.org/10.1541/ieejpes.140.42.

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35

Mack Cowan, J. "Does the Intoxilyzer 4011AS-A conform to the Beer-Lambert law?" Journal of the Forensic Science Society 28, no. 3 (May 1988): 179–84. http://dx.doi.org/10.1016/s0015-7368(88)72827-3.

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36

Lacaze, Bernard. "Gaps of free-space optics beams with the Beer-Lambert law." Applied Optics 48, no. 14 (May 6, 2009): 2702. http://dx.doi.org/10.1364/ao.48.002702.

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37

Odashima, Jun, Yukio Shinoda, and Hisashi Takeda. "Estimation method of photovoltaic power output using extended Lambert‐Beer law." Electrical Engineering in Japan 212, no. 1-4 (May 23, 2020): 35–42. http://dx.doi.org/10.1002/eej.23273.

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38

Cejnar, M., H. Kobler, and S. N. Hunyor. "Quantitative photoplethysmography: Lambert-Beer law or inverse function incorporating light scatter." Journal of Biomedical Engineering 15, no. 2 (March 1993): 151–54. http://dx.doi.org/10.1016/0141-5425(93)90047-3.

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39

Mosorov, Volodymyr. "The Lambert-Beer law in time domain form and its application." Applied Radiation and Isotopes 128 (October 2017): 1–5. http://dx.doi.org/10.1016/j.apradiso.2017.06.039.

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40

Spitha, Natalia, Pamela S. Doolittle, Amanda R. Buchberger, and Samuel Pazicni. "Simulation-Based Guided Inquiry Activity for Deriving the Beer–Lambert Law." Journal of Chemical Education 98, no. 5 (March 31, 2021): 1705–11. http://dx.doi.org/10.1021/acs.jchemed.0c01433.

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41

Cuchinski, Ariela Suzan, Josiane Caetano, and Douglas Cardoso Dragunski. "EXTRAÇÃO DO CORANTE DA BETERRABA (BETA VULGARIS) PARA UTILIZAÇÃO COMO INDICADOR ÁCIDO-BASE." Eclética Química Journal 35, no. 4 (January 22, 2018): 17. http://dx.doi.org/10.26850/1678-4618eqj.v35.4.2010.p17-23.

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In this study, we investigated the behavior of aqueous and alcoholic extract of sugar beet (Beta vulgaris) as an acid-base indicator, having as main objective the awakening interest in the use of natural indicators as an alternative to teaching of concepts of titration, equilibrium chemical and the law of Lambert-Beer. For the experiments we used standard solutions of hydrochloric acid (HCl), acetic acid and sodium hydroxide (NaOH). Initially tests were performed to evaluate and reversibility of the system, and it was observed that the color changes from red to yellow with the addition of base and returns to red with acid addition, so can be used to explain the chemical equilibrium. The analysis of UV-vis spectra showed that the molecular absorption in the visible region, have different characteristics, giving evidence that was altered structure of the indicator in acidic and basic medium. After the titration was found that the points of equivalence with the natural indicator showed concordance with those obtained by potentiometric method. Furthermore, the aqueous and alcoholic extract of beet has a good correlation for Beer-Lambert law, being that the acidic medium presented a better correlation compared with basic.
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42

Nel, Elizabeth M., and Carol A. Wessman. "Canopy transmittance models for estimating forest leaf area index." Canadian Journal of Forest Research 23, no. 12 (December 1, 1993): 2579–86. http://dx.doi.org/10.1139/x93-319.

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Leaf area index was estimated in old-growth and young post-fire coniferous forests in northwestern Colorado. A line quantum sensor was used to measure canopy transmittance at different solar zenith angles. Leaf area indices were estimated from canopy transmittance data according to three different models and were subsequently compared with leaf area indices derived from existing allometric equations. Of the three canopy transmittance methods evaluated, a Beer–Lambert model adjusted for diffuse light and solar zenith angle was in closest agreement with allometric leaf area index estimates (11.5% average difference), followed closely by the Beer–Lambert model (14.4% average difference). Leaf area index predicted by a one-dimensional inversion model did not agree well with allometric estimates (30.6% average difference). Differences in methods of data processing were found to have significant effects on final results. Subtraction of diffuse photosynthetically active radiation increased the leaf area indices. Calculation of leaf area index at each sampled point and determination of a final mean leaf area index approximated the allometrically derived values more closely than did derivation of leaf area index only once from an averaged gap-fraction value. Leaf area index estimates varied with sun angle.
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43

Vose, James M., Barton D. Clinton, Neal H. Sullivan, and Paul V. Bolstad. "Vertical leaf area distribution, light transmittance, and application of the Beer–Lambert Law in four mature hardwood stands in the southern Appalachians." Canadian Journal of Forest Research 25, no. 6 (June 1, 1995): 1036–43. http://dx.doi.org/10.1139/x95-113.

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We quantified stand leaf area index and vertical leaf area distribution, and developed canopy extinction coefficients (k), in four mature hardwood stands. Leaf area index, calculated from litter fall and specific leaf area (c2•g−1), ranged from 4.3 to 5.4 m2•m−2. In three of the four stands, leaf area was distributed in the upper canopy. In the other stand, leaf area was uniformly distributed throughout the canopy. Variation in vertical leaf area distribution was related to the size and density of upper and lower canopy trees. Light transmittance through the canopies followed the Beer–Lambert Law, and k values ranged from 0.53 to 0.67. Application of these k values to an independent set of five hardwood stands with validation data for light transmittance and litter-fall leaf area index yielded variable results. For example, at k = 0.53, calculated leaf area index was within ± 10% of litter-fall estimates for three of the five sites, but from −35 to + 85% different for two other sites. Averaged across all validation sites, litter-fall leaf area index and Beer-Lambert leaf area index predictions were in much closer agreement ( ± 7 to ± 15%).
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44

Chen, Lijun, Hua Shen, and Fumei Wang. "Quantifying the thickness of each color material in multilayer transparent specimen based on transmission image." Textile Research Journal 90, no. 21-22 (May 9, 2020): 2522–32. http://dx.doi.org/10.1177/0040517520924001.

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Combing the color transmission image and the Beer–Lambert law shows a great application prospect in quantifying each material in multilayer specimen. Here, a novel, low-cost, and efficient optical algorithm is proposed to predict the thickness of each color material in a multilayer specimen from the color transmission image based on the Beer–Lambert Law. In this work, a normal scanner is employed to achieve the color transmission image of the monochrome transparent films. RGB values represent the transmitted intensity. A linear relationship between the optical depth and physical thickness is observed under different monochromatic lights. It is supposed that for a multilayer transparent film which consisted of different monochrome transparent films, the optical depth is related to the physical thickness of each monochrome transparent component. Therefore, an estimating equation is proposed to predict the thickness of each color material in the multilayer specimen. According to the result, the standard deviation of predicted thickness and practical thickness of each color film in the multilayer specimen is 0.93%. Fairly good agreement and high accuracy are obtained between the practical and predicted values, and the validity of this method is confirmed.
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45

Risdiyanto, I., and R. Setiawan. "METODE NERACA ENERGI UNTUK PERHITUNGAN INDEKS LUAS DAUN MENGGUNAKAN DATA CITRA SATELIT MULTI SPEKTRAL(ENERGY BALANCE METHOD FOR DETERMINING LEAF AREA INDEX LAND USING MULTI SPECTRAL SATELLITE IMAGINARY)." Agromet 21, no. 2 (December 20, 2007): 27. http://dx.doi.org/10.29244/j.agromet.21.2.27-38.

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<p>Leaf area index (LAI) is a variable showing relation between leaf area leaf and area closed over it. The conventionally technique to determine LAI value conducted by measure and accumulate wide of amount of leaf in one selected area and divided broadly area. The other technique, LAI also can be measured by using measuring instrument of solar radiation like attached tube solarimeter parallelly above and below/under plant canopy. Both of the approaches have limitation of spatial which developed new method with remote sensing technique. Determination of LAI with remote sensing technique exploits the nature of spectral of surface both from short wave (sun radiation) and long wave (surface radiation). One of the method able to be developed is surface energy balance approach with Beer-Lambert law. Result of this research indicate that value of LAI for the vegetation area by surface energy balance method and equation of Beer-Lambert law got value of mean LAI for natural forest equal to 3.05 with the range value 2.85 - 3.50 and R2 is 0.91, for the rubber agroforest equal to 3.01 with range value 2.79 - 3.40 and R2 is 0.69, while value of mean LAI for the plantation of monoculture of rubber equal to 2.96 with range value 2.74 - 3.28 and and R2 is 0.82. This method can be used for vegetation area especially for homogeneously like natural forest and monoculture.</p><p>---------------------------------------------------------------------</p><p>Indeks luas daun (ILD) merupakan suatu peubah yang menunjukkan hubungan antara luas daun dan luas bidang yang tertutupi. Secara konvensional penentuan nilai LAI dilakukan dengan mengukur dan mengakumulasikan jumlah luas daun dalam satu bidang tertentu dan dibagi dengan luas bidang tersebut. ILD juga dapat diukur menggunakan alat ukur radiasi surya seperti tube solari meter yang dipasang paralel di atas dan di bawah tajuk tumbuhan. Kedua pendekatan tersebut mempunyai keterbatasan spasial, sehingga dicoba mengembangkan metode baru dengan teknik penginderaan jauh. Pendugaan ILD dengan teknik ini memanfaatkan sifat spektral dari permukaan baik yang bersumber dari radiasi gelombang pendek dari matahari maupun radiasi gelombang panjang dari permukaan. Salah satu metode yang dapat dikembangkan adalah pendekatan neraca energi untuk menghasilkan peubah-peubah penduga ILD menggunakan hukum Beer-Lambert. Hasil penelitian ini menunjukkan bahwa nilai rata-rata ILD untuk lahan bervegetasi menggunakan metode neraca energi dan persamaan hukum Beer-Lambert untuk hutan alam sebesar 3.05 dengan nilai kisaran selang 2.85- 3.50 dan R2 validasi dengan ILD lapangan sebesar 0.91. Nilai rata-rata LAI pendugaan untuk agroforest karet sebesar 3.01 dengan selang 2.79–3.40 dan nilai R2 validasi sebesar 0.69, sedangkan nilai rata-rata ILD untuk perkebunan karet monokultur sebesar 2.96 dengan selang 2.74–3.28 dan nilai R2 validasi sebesar 0.82. Metode pendugaan ILD ini dapat digunakan untuk lahan bervegetasi terutama untuk pertanaman homogen seperti hutan alam dan monokultur.</p>
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46

Cheng, Zhen Hua, Na Cui, Hong Xiao Zhang, Li Jun Zhu, and Dao Hong Xia. "Synthesis of Zinc Phthalocyanine and its Dimerization in DMF." Advanced Materials Research 926-930 (May 2014): 270–73. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.270.

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Zinc phthalocyanine was prepared with improved method with high yields and characterized by XRD and FT-IR analysis. The SEM analysis was also conducted to demonstrate the apparent morphology of the synthesized compound. Dimerization of the zinc phthalocyanine was measured by UV-Vis spectroscopy in N, N-dimethyl formamide (DMF). The red–shift of maximum absorption wavelength and deviation from Lambert-Beer law was observed with increasing the concentration.
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47

Zhang, Yi, Xiao Wei Zhang, Yu Peng Qian, and Ying Bo Zhu. "The Research of Infrared Radiation Detection on High-Performance Mica Insulation Material Thickness." Advanced Materials Research 129-131 (August 2010): 333–37. http://dx.doi.org/10.4028/www.scientific.net/amr.129-131.333.

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The paper discussed a way of detection on the mica-paper’s thickness is that use infrared radiation to detect it. According the mica-paper’s absorbance characteristic of infrared radiation, the paper also discussed the method of using the lambert-beer law in thickness detecting and made the model which is applicable to mica-paper. Finally the researchers have used this model to Predict thickness of mica paper and obtained good results.
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48

Cuchinski, Ariela Suzan, Josiane Caetano, and Douglas C. Dragunski. "Extração do corante da beterraba (Beta vulgaris) para utilização como indicador ácido-base." Eclética Química 35, no. 4 (2010): 17–23. http://dx.doi.org/10.1590/s0100-46702010000400002.

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No presente trabalho, foi investigado o comportamento do extrato aquoso e alcoólico da beterraba (Beta vulgaris) como um indicador ácido-base, tendo como objetivo principal despertar o interesse pelo uso dos indicadores naturais, como alternativa didática para transmissão dos conceitos de titulação, equilíbrio químico e a lei de Lambert-Beer. Para a realização dos experimentos foram utilizadas soluções padrão de ácido clorídrico (HCl), ácido acético e hidróxido de sódio (NaOH). Inicialmente foram feitos testes para avaliar a reversibilidade do sistema, e observou-se que a coloração passa de vermelho para amarela com adição de base e retorna para vermelho com adição do ácido, sendo possível sua utilização para explicação do equilíbrio químico. As análises de espectroscopia UV-vis mostraram que os espectros de absorção molecular na região do visível, apresentam diferentes característica, dando indícios que ocorreu modificação na estrutura do indicador em meio ácido e básico. Após as análises volumétricas constatou-se que os pontos de equivalência determinados com o indicador natural tiveram concordância com os obtidos pelo método potenciométrico. Além disso, os extratos aquosos e alcoólicos da beterraba apresentam potencial didático para a explicação da lei de Lambert-Beer, sendo que no meio ácido houve uma melhor correlação comparado com o meio básico.
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49

Brooks, Larry M., Benjamin J. Kuhlman Kuhlman, Doug W. McKesson, and Leo McCloskey. "Poor Interoperability of the Adams-Harbertson Method for Analysis of Anthocyanins: Comparison with AOAC pH Differential Method." Journal of AOAC INTERNATIONAL 96, no. 1 (January 1, 2013): 86–90. http://dx.doi.org/10.5740/jaoacint.12-216.

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Abstract The poor interoperability of anthocyanin glycosides measurements by two pH differential methods is documented. Adams-Harbertson, which was proposed for commercial winemaking, was compared to AOAC Official MethodSM 2005.02 for wine. California bottled wines (Pinot Noir, Merlot, and Cabernet Sauvignon) were assayed in a collaborative study (n = 105), which found mean precision of Adams- Harbertson winery versus reference measurements to be 77 ± 20%. Maximum error is expected to be 48% for Pinot Noir, 42% for Merlot, and 34% for Cabernet Sauvignon from reproducibility RSD. Range of measurements was actually 30 to 91% for Pinot Noir. An interoperability study (n = 30) found Adams-Harbertson produces measurements that are nominally 150% of the AOAC pH differential method. Large analytical chemistry differences are: AOAC method uses Beer-Lambert equation and measures absorbance at pH 1.0 and 4.5, proposed a priori by Flueki and Francis; whereas Adams-Harbertson uses “universal” standard curve and measures absorbance ad hoc at pH 1.8 and 4.9 to reduce the effects of so-called co-pigmentation. Errors relative to AOAC are produced by Adams-Harbertson standard curve over Beer-Lambert and pH 1.8 over pH 1.0. The study recommends using AOAC Official Method 2005.02 for analysis of wine anthocyanin glycosides.
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50

Canassa, Thalita'. "Utilização da lei de Lambert-Beer para determinação da concentração de soluções." Journal of Experimental Techniques and Instrumentation 1, no. 2 (July 6, 2018): 23–30. http://dx.doi.org/10.30609/jeti.2018-2.5930.

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