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Journal articles on the topic 'Determination of moisture content'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

Sivritepe, N., H. Ö. Sivritepe, and C. Türkben. "Determination of moisture content in grape seeds." Seed Science and Technology 36, no. 1 (April 1, 2008): 198–200. http://dx.doi.org/10.15258/sst.2008.36.1.21.

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2

A. D. Ghadge, M. G. Britton, and D. S. Jayas. "Moisture Content Determination for Potatoes." Transactions of the ASAE 32, no. 5 (1989): 1744–46. http://dx.doi.org/10.13031/2013.31216.

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3

Zhang, H., S. Q. Xu, S:Y Xiao, and Y. P. Wang. "Determination of seed moisture content in ginseng (Panax ginseng C.A. Mey)." Seed Science and Technology 42, no. 3 (December 1, 2014): 444–48. http://dx.doi.org/10.15258/sst.2014.42.3.10.

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4

Prakash, K., A. Sridharan, and S. Sudheendra. "Hygroscopic moisture content: determination and correlations." Environmental Geotechnics 3, no. 5 (October 2016): 293–301. http://dx.doi.org/10.1680/envgeo.14.00008.

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5

S. O. Nelson and A. W. Kraszewski. "GRAIN MOISTURE CONTENT DETERMINATION BY MICROWAVE MEASUREMENTS." Transactions of the ASAE 33, no. 4 (1990): 1303–5. http://dx.doi.org/10.13031/2013.31473.

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6

Mark E. Casada and Linus R. Walton. "Tobacco Moisture Content Determination by Microwave Heating." Transactions of the ASAE 28, no. 1 (1985): 307–9. http://dx.doi.org/10.13031/2013.32247.

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7

BUCKEE, G. K., and M. BENARD. "DETERMINATION OF THE MOISTURE CONTENT OF BARLEY." Journal of the Institute of Brewing 101, no. 3 (May 6, 1995): 169–70. http://dx.doi.org/10.1002/j.2050-0416.1995.tb00856.x.

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8

Ameobi, J. B., and J. L. Woods. "DETERMINATION OF MOISTURE CONTENT IN MAIZE EARS." Drying Technology 11, no. 5 (January 1993): 1093–106. http://dx.doi.org/10.1080/07373939308916885.

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9

Lutovska, Monika, Vangelce Mitrevski, Ivan Pavkov, Mirko Babic, Vladimir Mijakovski, Tale Geramitcioski, and Zoran Stamenkovic. "Different methods of equilibrium moisture content determination." Journal on Processing and Energy in Agriculture 21, no. 2 (2017): 91–96. http://dx.doi.org/10.5937/jpea1702091l.

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10

Jolly, W. Matt, and Ann M. Hadlow. "A comparison of two methods for estimating conifer live foliar moisture content." International Journal of Wildland Fire 21, no. 2 (2012): 180. http://dx.doi.org/10.1071/wf11015.

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Foliar moisture content is an important factor regulating how wildland fires ignite in and spread through live fuels but moisture content determination methods are rarely standardised between studies. One such difference lies between the uses of rapid moisture analysers or drying ovens. Both of these methods are commonly used in live fuel research but they have never been systematically compared to ensure that they yield similar results. Here we compare the foliar moisture content of Pinus contorta (lodgepole pine) at multiple sites for an entire growing season determined using both oven-drying and rapid moisture analyser methods. We found that moisture contents derived from the rapid moisture analysers were nearly identical to oven-dried moisture contents (R2 = 0.99, n = 68) even though the rapid moisture analysers dried samples at 145°C v. oven-drying at 95°C. Mean absolute error between oven-drying and the rapid moisture analysers was low at 2.6% and bias was 0.62%. Mean absolute error was less than the within-sample variation of an individual moisture determination method and error was consistent across the range of moisture contents measured. These results suggest that live fuel moisture values derived from either of these two methods are interchangeable and it also suggests that drying temperatures used in live fuel moisture content determination may be less important than reported by other studies.

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11

Jackson, Beulah, and T. Jayanthy. "Moisture Content Determination Using Microstrip Fractal Resonator Sensor." Research Journal of Applied Sciences, Engineering and Technology 7, no. 14 (April 12, 2014): 2994–97. http://dx.doi.org/10.19026/rjaset.7.632.

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12

Leslie F. Backer and Arnold W. Walz. "Microwave Oven Determination of Moisture Content of Sunflower." Transactions of the ASAE 28, no. 6 (1985): 2063–65. http://dx.doi.org/10.13031/2013.32566.

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13

Kaatze, Udo, and Christof Hübner. "Electromagnetic techniques for moisture content determination of materials." Measurement Science and Technology 21, no. 8 (June 18, 2010): 082001. http://dx.doi.org/10.1088/0957-0233/21/8/082001.

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14

A. W. Kraszewski, S. Trabelsi, and S. O. Nelson. "SIMPLE GRAIN MOISTURE CONTENT DETERMINATION FROM MICROWAVE MEASUREMENTS." Transactions of the ASAE 41, no. 1 (1998): 129–34. http://dx.doi.org/10.13031/2013.17136.

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15

Marpaung, David S. S., Anggia Indryani, and Ayu Oshin Yap Sinaga. "Determination of Equilibrium Moisture Content in Trade Distribution." Journal of Agriculture and Applied Biology 1, no. 1 (July 20, 2020): 25–29. http://dx.doi.org/10.11594/jaab.01.01.04.

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16

Drnevich, PV, and AK Howard. "Minimum Test Specimen Mass for Moisture Content Determination." Geotechnical Testing Journal 12, no. 1 (1989): 39. http://dx.doi.org/10.1520/gtj10672j.

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17

Belen'kii, M. I., and B. Z. Taibin. "On determination of the moisture content of wood." Radiophysics and Quantum Electronics 37, no. 4 (April 1994): 329–31. http://dx.doi.org/10.1007/bf01046035.

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18

Petrov, Oleg V., Jill Hay, Igor V. Mastikhin, and Bruce J. Balcom. "Fat and moisture content determination with unilateral NMR." Food Research International 41, no. 7 (August 2008): 758–64. http://dx.doi.org/10.1016/j.foodres.2008.05.010.

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19

Al-Rawi, Muhanned. "Measurement bridge for large grain moisture content determination." Poljoprivredna tehnika 45, no. 2 (2020): 79–87. http://dx.doi.org/10.5937/poljteh2002079a.

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20

Tsang, Marcel M. C., and Jack K. Fujii. "Rapid Moisture Content Determination of Macadamia Nuts with an Electronic Moisture Meter." HortTechnology 2, no. 4 (October 1992): 471–73. http://dx.doi.org/10.21273/horttech.2.4.471.

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An electronic moisture meter (Dole Model 400) was calibrated for rapid determination of moisture content of macadamia (Macadamia integrifolia Maiden and Betche) nuts. The meter was found suitable to measure the moisture content (from 9.5% to 21.5% on a wet-weight basis) of macadamia nuts with sufficient accuracy for routine use by farmers and processors. On average, the meter readings were about 0.21% ± 0.08% se lower compared to readings obtained from the standard forced-air oven technique. A moisture analysis with the meter required <5 minutes compared to 72 hours by conventional oven-drying.

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21

Lewis, Micah A., and Samir Trabelsi. "Performance Comparison of Three Density-Independent Calibration Functions for Microwave Moisture Sensing in Unshelled Peanuts during Drying." Applied Engineering in Agriculture 36, no. 5 (2020): 667–72. http://dx.doi.org/10.13031/aea.13703.

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HighlightsReal-time, free-space transmission measurements of relative complex permittivity in unshelled peanuts during dryingDynamic application: temperature, density and moisture content changing during dryingThree density-independent calibration functions evaluated for accuracy in real-time moisture content determinationReal-time moisture content determination with standard error of performance (SEP) = 0.55% moisture content for all calibration functionsCalibration function most commonly used with microwave moisture sensor was determined to be most accurate; SEP = 0.448% moisture contentAbstract. A microwave moisture sensor, developed within USDA ARS, has been used to determine moisture content in unshelled peanuts during drying. Relative complex permittivities of the peanuts obtained from free-space transmission measurements at 5.8 GHz are used for the moisture determination. Due to variations in density caused by drying, it is advantageous to estimate moisture content independent of bulk density. Therefore, moisture content was estimated with three density-independent calibration functions to assess which one provided optimal accuracy. One of the functions is based on the measured attenuation and phase shift, and the other two are permittivity based (one of which is commonly used with the microwave moisture sensor). The sensor was calibrated for peanut pod moisture content determination over a temperature range of 10°C to 40°C and a moisture content range of 6.5% to 19% wet basis (w.b.). Statistical analysis showed high coefficients of determination (r2), = 0.97 for the calibration with each function. Peanut pod moisture content was determined with the sensor in real-time as peanuts dried, and estimated moisture content was compared to the reference oven drying method. While the standard error of performance (SEP) for the three functions was = 0.55% moisture content, the calibration function most commonly used with the microwave sensor was observed to be the most accurate (SEP = 0.448% moisture content). Microwave sensing is a viable solution for nondestructive, real-time determination of moisture content in peanuts in dynamic situations such as drying. Keywords: Complex permittivity, Dielectric properties, Free-space measurements, Microwave sensing, Moisture content, Peanut drying.

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22

Taylor, GB. "Determination of seed moisture content in small-seeded pasture legumes." Australian Journal of Experimental Agriculture 27, no. 3 (1987): 377. http://dx.doi.org/10.1071/ea9870377.

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An improved technique for the determination of seed moisture content in small-seeded annual legumes is described. Changes in weight of permeable and impermeable seed of Medicago truncatula, M. polymorpha and Trifolium subterraneurn, which were either left intact or cut in half, were measured in air-ovens at 105 and 130�C. Drying intact seeds for 1 h at 130�C, as specified by the International Seed Testing Association, seriously underestimated moisture content in most seed samples. Seeds dried to approximately constant weight at 130�C appeared to overestimate moisture contents by about 1%, presumably because of volatilisation losses of material other than unbound water. At 105�C, halved seeds lost weight rapidly during the first day then slightly gained weight for several days before resuming a gradual weight loss. Drying intact seeds of M. truncatula and T. subterraneurn at 105�C for 2 days gave seed moisture contents similar to those obtained from halved seeds. Intact impermeable seeds of M. polymorpha were very much slower than those of the other species to lose weight. taking 14 days to approach an apparent moisture content close to that of halved seeds. Drying halved seeds for 24 h at 105�C appears the most reliable technique.

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23

Kraszewski, A. W., and S. O. Nelson. "Moisture Content Determination in Single Peanut Kernels With a Microwave Resonator." Peanut Science 20, no. 1 (January 1, 1993): 27–31. http://dx.doi.org/10.3146/i0095-3679-20-1-8.

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Abstract Principles are discussed for determining moisture content of individual peanut, Arachis hypogaea L., kernels by microwave resonator measurements, and data illustrating the application of these principles are presented. By measuring the shift in the resonant frequency and the change in the cavity transmission characteristics when a peanut kernel is inserted into the cavity, and taking the ratio of these two parameters, it is possible to obtain the moisture content of the kernel independent of its mass (size) and apparently independent of peanut type, as far as runner and virginia market types are concerned. Moisture contents in the range from 4 to 14 percent, wet basis, were determined with an uncertainty of 0.9 percent moisture, at the 95-percent confidence level.

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24

Azmi, Noraini, Latifah Munirah Kamarudin, Ammar Zakaria, David Lorater Ndzi, Mohd Hafiz Fazalul Rahiman, Syed Muhammad Mamduh Syed Zakaria, and Latifah Mohamed. "RF-Based Moisture Content Determination in Rice Using Machine Learning Techniques." Sensors 21, no. 5 (March 8, 2021): 1875. http://dx.doi.org/10.3390/s21051875.

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Seasonal crops require reliable storage conditions to protect the yield once harvested. For long term storage, controlling the moisture content level in grains is challenging because existing moisture measuring techniques are time-consuming and laborious as measurements are carried out manually. The measurements are carried out using a sample and moisture may be unevenly distributed inside the silo/bin. Numerous studies have been conducted to measure the moisture content in grains utilising dielectric properties. To the best of authors’ knowledge, the utilisation of low-cost wireless technology operating in the 2.4 GHz and 915 MHz ISM bands such as Wireless Sensor Network (WSN) and Radio Frequency Identification (RFID) have not been widely investigated. This study focuses on the characterisation of 2.4 GHz Radio Frequency (RF) transceivers using ZigBee Standard and 868 to 915 MHz UHF RFID transceiver for moisture content classification and prediction using Artificial Neural Network (ANN) models. The Received Signal Strength Indicator (RSSI) from the wireless transceivers is used for moisture content prediction in rice. Four samples (2 kg of rice each) were conditioned to 10%, 15%, 20%, and 25% moisture contents. The RSSI from both systems were obtained and processed. The processed data is used as input to different ANNs models such as Support Vector Machine (SVM), K-Nearest Neighbour (KNN), Random Forest, and Multi-layer Perceptron (MLP). The results show that the Random Forest method with one input feature (RSSI_WSN) provides the highest accuracy of 87% compared to the other four models. All models show more than 98% accuracy when two input features (RSSI_WSN and RSSI_TAG2) are used. Hence, Random Forest is a reliable model that can be used to predict the moisture content level in rice as it gives a high accuracy even when only one input feature is used.

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25

Shetu, Nisat Sarwar, and Md Abdullah Masum. "Platform for moisture content determination of fine-grained soil." Geotechnical Research 1, no. 1 (March 2014): 43–51. http://dx.doi.org/10.1680/geores.14.00005.

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26

Sturgeon, Ralph E., Joseph W. Lam, Anthony Windust, Patricia Grinberg, Rolf Zeisler, Rabia Oflaz, Rick L. Paul, et al. "Determination of moisture content of single-wall carbon nanotubes." Analytical and Bioanalytical Chemistry 402, no. 1 (November 29, 2011): 429–38. http://dx.doi.org/10.1007/s00216-011-5509-y.

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27

Kraszewski, A. W., S. Trabelsi, and S. O. Nelson. "Moisture content determination in grain by measuring microwave parameters." Measurement Science and Technology 8, no. 8 (August 1, 1997): 857–63. http://dx.doi.org/10.1088/0957-0233/8/8/004.

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28

Kraszewski, A. W., S. Trabelsi, and S. O. Nelson. "Moisture content determination in grain by measuring microwave parameters." Measurement Science and Technology 9, no. 3 (March 1, 1998): 543–44. http://dx.doi.org/10.1088/0957-0233/9/3/034.

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29

Fridh, Lars, Sylvain Volpé, and Lars Eliasson. "An accurate and fast method for moisture content determination." International Journal of Forest Engineering 25, no. 3 (September 2, 2014): 222–28. http://dx.doi.org/10.1080/14942119.2014.974882.

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30

Dean, SW, PH Shah, and DN Singh. "Methodology for Determination of Hygroscopic Moisture Content of Soils." Journal of ASTM International 3, no. 2 (2006): 13376. http://dx.doi.org/10.1520/jai13376.

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31

Rocha, R. P., E. C. Melo, and L. L. Radunz. "Determination of Moisture Content from Guaco with Microwave Oven." Revista Engenharia na Agricultura - REVENG 19, no. 6 (December 31, 2011): 503–9. http://dx.doi.org/10.13083/1414-3984.v19n06a01.

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32

Danilchenko, A. S., Kh R. Siyukhov, T. G. Korotkova, and B. B. Siyukhova. "Determination of the content of free and attached moisture in spent grain." New Technologies, no. 4 (November 18, 2020): 41–52. http://dx.doi.org/10.47370/2072-0920-2020-15-4-41-52.

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Experimental data on the kinetics of drying of raw brewer’s grains from the Maykop brewery for two temperature regimes of 60°C and 55°C are presented. The dry matter content is 12,7%. The drying agent speed is 4,5 m/s. The purpose is to determine the content of free and attached moisture in brewer’s grains obtained as a waste in the production of beer using classical technology. Analysis of the drying curves and drying rate curves has shown that free moisture is removed when the moisture content changes from the initial 687,4% to 360%; with a further decrease in the moisture content, the attached moisture is removed. A moisture content of 360% is assumed to be at the interface between the first and second drying periods. The average free moisture content is 47%, that of the attached one is 53%. A significant amount of the attached moisture indicates insufficient destruction of the cellular structure of the material.

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33

Stasiak, M. "Determination of elastic parameters of grain with oedometric and acoustic methods." Research in Agricultural Engineering 49, No. 2 (February 8, 2012): 56–60. http://dx.doi.org/10.17221/4953-rae.

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Values of modulus of elasticity E and Poisson’s ratio   were determined with two methods adopted from geotechnique. First approach used was a method proposed by Sawicki (1994). This type of examination was applied to estimate values of E and v for wheat and rapeseed beddings for five levels of moisture content ranging from 6% to 20%. Modulus of elasticity E of wheat was found to decrease with an increase in moisture content. With the second method values of E were determined based on measurement of shear wave velocity. Tests were performed for bedding of wheat and rapeseed under equilibrium moisture content. Values of modulus of elasticity were found to depend of hydrostatic pressure and were higher then those determined in uniaxial compression test.

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34

Lukovičová, Jozefa, Gabriela Pavlendová, and Stanislav Unčík. "Experimental Determination of Innovative Plaster Moisture Expansion." Advanced Materials Research 1122 (August 2015): 153–56. http://dx.doi.org/10.4028/www.scientific.net/amr.1122.153.

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The problem of the reconstruction of the historical building surface layers is in material compatibility. The basics of the convenient choice of materials for reconstruction is understanding some physical properties of used materials. The crucial properties are moisture and temperature induced deformation. The effect of moisture sorption on the elastic behavior of innovative plaster for renovation is investigated. The measurements are performed for moisture content from the dry state to the saturation water content and temperature range of 10 - 40°C.

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35

Tau Shien, Pui, Seneviratne H.N., and Dygku Salma Awg Ismail. "A Study on Factors Influencing the Determination of Moisture Content of Fibrous Peat." Journal of Civil Engineering, Science and Technology 2, no. 2 (December 1, 2011): 39–47. http://dx.doi.org/10.33736/jcest.93.2011.

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Fibrous peat is an undrained peat that usually possesses very high moisture content. However, not all experimental procedures are applicable for determination of moisture content of fibrous peat. This research is aimed at examining the determination of insitu moisture content of fibrous peat using field measurements. The peat soil samples were collected at shallow depths from Asajaya at Kota Samarahan and Taman Kopodims at Matang , Kuching Sarawak by using peat auger. The laboratory tests such as determination of moisture content, fiber content, particle density and ash content were conducted on the collected samples in order to establish relationships between the parameters. Undisturbed peat samples from Matang were subjected to falling head permeability test to determine the saturated permeability. The saturated sample were then allowed to drain freely to simulate the moisture loss possible during sampling when samples were brought out of boreholes. The test results showed that moisture content varies according to the drying temperature and position of the soil sample (top, middle and bottom) during sampling. Comparing samples from both locations, peat soil from Kota Samarahan possessed higher moisture content. The saturated permeability of peat sample was in the range of 2.62 – 3.05 cm/s. The free draining trial showed that moisture loss during sampling significantly influence the moisture content measurement. The variation in value of moisture content for fibrous peat may occurs due to several factors such as existing ground water table, sampling method by boring, existing standard test procedure which is not suitable for peat soils requirement and also because of the physical properties which varied according to depth of soil.

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36

Gonçalves, Douglas N., Osvaldo Resende, Lílian M. Costa, and Mariana C. Prado. "Determination of physical properties of crambe fruits during drying." Engenharia Agrícola 34, no. 5 (October 2014): 972–79. http://dx.doi.org/10.1590/s0100-69162014000500016.

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The Knowledge of the physical properties of agricultural products has great importance for the construction and operation of equipment for drying and storage, to achieve increased efficiency in post-harvest operations. The aim was to determine and analyze the physical properties of crambe fruits during drying at different temperatures. Crambe fruits with an initial moisture content of 0.36 (decimal d.b.) which was reduced by drying at 37.0; 58.8 and 83.5 ºC and relative humidity of 29.4; 11.2 and 3.2%, respectively, to 0.09 ± 1 (decimal d.b.). At different levels of moisture contents (0.36; 0.31; 0.26; 0.21; 0.17; 0.13 and 0.09 decimal d.b.), was evaluated the intergranular porosity, the bulk density, the true density as well as the volumetric shrinkage and the fruit mass. The study was installed by the factorial 3 x 7, and three drying temperatures and seven moisture contents in a randomized design. Data were analyzed using regression. The bulk density and the true density decreases along the drying process; the volumetric shrinkage and the mass increased with lower moisture content and the intergranular porosity decreased sharply with the increasing drying temperature.

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37

Norris, Karl H., and Joe R. Hart. "4. Direct Spectrophotometric Determination of Moisture Content of Grain and Seeds." Journal of Near Infrared Spectroscopy 4, no. 1 (January 1996): 23–30. http://dx.doi.org/10.1255/jnirs.940.

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The water absorption bands at 0.76, 0.97, 1.18, 1.45, and 1.94 μ were investigated for spectrophotometric measurement of the moisture content of grain and seeds. The spectral absorbance curve for a thin layer of ground wheat was measured for the 1.0- to 2.3-μ region, showing that the 1.94-μ band of water has a minimum of interference. Using a 2-gram sample of ground material mixed with 1.5 to 2.0 ml of carbon tetrachloride in a 4.4-cm diameter cell, the transmittance values of a large number of wheat, soybean, wheat flour, and wheat bran samples were measured at 1.94 and 2.08 μ. From these data, the optical density difference Δ OD (1.94–2.08) μ was computed for each sample and related to the moisture content as determined by standard procedures. Calibration curves obtained for each of the four materials showed standard deviations from 0.28 to 0.37 per cent moisture for the moisture range from 0 to 20 per cent. The water absorption band at 0.97 μ was measured on individual intact peanuts and related to the moisture content. A measurement within ±0.7 per cent moisture content was obtained, using Δ OD (0.97–0.90) μ as the measured value. The authors conclude that moisture determination by direct spectrophotometry is practical on grain and should be possible on a wide range of solids.

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38

Xu, Kang, Jianxiong Lu, Yulei Gao, Yiqiang Wu, and Xianjun Li. "Determination of moisture content and moisture content profiles in wood during drying by low-field nuclear magnetic resonance." Drying Technology 35, no. 15 (February 23, 2017): 1909–18. http://dx.doi.org/10.1080/07373937.2017.1291519.

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39

Taylor, A. G., D. H. Paine, and D. F. Grabe. "340 DETERMINATION OF WATER ACTIVITY AND MOISTURE CONTENT PROM PELLETED SEED." HortScience 29, no. 5 (May 1994): 479c—479. http://dx.doi.org/10.21273/hortsci.29.5.479c.

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The purpose of this study was to develop a procedure to determine seed moisture content from intact pelleted seeds. Samples of `Sentinel' onion and `Salinas' lettuce were pelleted by the following companies; Asgrow, Germains (Seed Systems), Harris Moran, Incotec, Peto and Seed Dynamics. Physical characteristics of the various pellets were quantified including weight, volume and density. Measurements were made on intact pellets and densities ranged from 0.84 to 1.67 g/cc. Seed drying curves were obtained on the different pellets under controlled environmental conditions. Pellets were first equilibrated at 85% RH, and then dried at 25C and 18% RH. In general drying rates were similar among pellet types within crops. With regards to seed moisture content determination, neither the electronic moisture meter, based on measuring capacitance, nor oven methods were able to accurately measure seed moisture from intact pellets. Measurement of the head space RH from pre-equilibrated intact pellets (water activity) resulted in an accurate method to assess seed water status for all samples. The actual seed moisture content could be determined by using the moisture isotherms for each seed lot at a given temperature.

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40

Tiebe, Carlo, Marc Detjens, Annika Fechner, Stefanie Sielemann, Andreas Lorek, Roland Wernecke, and Hartmut Stoltenberg. "Development of a Device for Staged Determination of Water Activity and Moisture Content." Proceedings 2, no. 13 (December 10, 2018): 881. http://dx.doi.org/10.3390/proceedings2130881.

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Moisture content and water activity are important parameters for quality characterizationof products like bulk materials, powders, granules. Thus, an exact determination is necessarilyrequired in a wide range of industrial applications. Moisture of materials is the content ofnon-chemically bound water in a solid or liquid. Water activity (aw) is a characteristic/parameter ofthe non-chemically bound (“free”) water in materials and is measured as humidity over asolid/liquid surface at constant temperature (equilibrium moisture content). It is an importantparameter to characterize the quality of e.g., pharmaceutical and food products. In ourcontribution, we present the developed MOISHUM device for staged determination of wateractivity and moisture content of liquid and solid materials.

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41

Perré, Patrick. "Experimental device for the accurate determination of wood-water relations on micro-samples." Holzforschung 61, no. 4 (June 1, 2007): 419–29. http://dx.doi.org/10.1515/hf.2007.075.

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Abstract This paper describes an experimental device designed for the accurate determination of wood/water relations on micro-samples. The moisture content of the sample is measured with a highly sensitive electronic microbalance. Moreover, the dimensions of the sample in tangential and longitudinal direction are collected continuously without contact by means of two high-speed laser scan micrometers. The device is placed in a climatic chamber. The micro-samples investigated were prepared with a diamond wire saw. A sample thickness of less than 1 mm allows the moisture content to be almost uniform during the test. The data obtained are of excellent quality and accuracy, in spite of the very small mass and dimensions of the samples. The device provides a perfect tool for investigating the dynamic interaction between relative humidity, moisture content, and shrinkage. Results collected for beech, spruce and eucalyptus are presented. Important findings include: deviation from a linear relation between shrinkage and moisture content in beech; uniqueness of the shrinkage versus moisture content curve during desorption/adsorption cycles; evidence of cell collapse in eucalyptus, especially for tension wood; and property variations within the growth ring of normal wood and compression wood of spruce.

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Fredriksson, Maria, Lars Wadsö, and Peter Johansson. "Small resistive wood moisture sensors: a method for moisture content determination in wood structures." European Journal of Wood and Wood Products 71, no. 4 (June 2, 2013): 515–24. http://dx.doi.org/10.1007/s00107-013-0709-0.

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Nagarajan, R., Parul Singh, and Ranjana Mehrotra. "Direct Determination of Moisture in Powder Milk Using Near Infrared Spectroscopy." Journal of Automated Methods and Management in Chemistry 2006 (2006): 1–4. http://dx.doi.org/10.1155/jammc/2006/51342.

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Moisture content in commercially available milk powder was investigated using near infrared (NIR) diffuse reflectance spectroscopy with an Indian low-cost dispersive NIR spectrophotometer. Different packets of milk powder of the same batch were procured from the market. Forty-five samples with moisture range 4–10% were prepared in the laboratory. Spectra of the samples were collected in the wavelength region 800–2500 nm. Moisture values of all the samples were simultaneously determined by Karl Fischer (KF) titration. These KF values were used as reference for developing calibration model using partial least squares regression (PLSR) method. The calibration and validation statistics areR cal2:0.9942,RMSEC:0.1040, andR val2:0.9822,RMSEV:0.1730. Five samples of unknown moisture contents were taken for NIR prediction using developed calibration model. The agreement between NIR predicted results and those of Karl Fischer values is appreciable. The result shows that the instrument can be successfully used for the determination of moisture content in milk powder.

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Ileleji, Klein E., Arnoldo A. Garcia, Ambrose R. P. Kingsly, and Clairmont L. Clementson. "Comparison of Standard Moisture Loss-on-Drying Methods for the Determination of Moisture Content of Corn Distillers Dried Grains with Solubles." Journal of AOAC INTERNATIONAL 93, no. 3 (May 1, 2010): 825–32. http://dx.doi.org/10.1093/jaoac/93.3.825.

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Abstract This study quantified the variability among 14 standard moisture loss-on-drying (gravimetric) methods for determination of the moisture content of corn distillers dried grains with solubles (DDGS). The methods were compared with the Karl Fischer (KF) titration method to determine their percent variation from the KF method. Additionally, the thermo-balance method using a halogen moisture analyzer that is routinely used in fuel ethanol plants was included in the methods investigated. Moisture contents by the loss-on-drying methods were significantly different for DDGS samples from three fuel ethanol plants. The percent deviation of the moisture loss-on-drying methods decreased with decrease in drying temperature and, to a lesser extent, drying time. This was attributed to an overestimation of moisture content in DDGS due to the release of volatiles at high temperatures. Our findings indicate that the various methods that have been used for moisture determination by moisture loss-on-drying will not give identical results and therefore, caution should be exercised when selecting a moisture loss-on-drying method for DDGS.

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Kabutey, A., D. Herák, and A. Sedláček. "Behaviour of different moisture contents of Jatropha curcas L. seeds under compression loading." Research in Agricultural Engineering 57, No. 2 (June 27, 2011): 72–77. http://dx.doi.org/10.17221/15/2010-rae.

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A study was conducted to investigate the behaviour of different moisture contents of Jatropha curcas L. seeds under compression loading. To obtain jatropha seeds of different moisture contents ranging from 1% (w.b.) to 37% (w.b.), the seeds were soaked in water and kept in a refrigerator at 5°C for different number of days. Compression devices, namely ZDM 50-2313/56/18, pressing vessel with diameter of 76 mm and a pressing plunger of 90 mm height, were used. The amount of seeds in the pressing vessel was measured as 40 mm with compression force of 98,100 N. The results from the experiment showed that increasing the moisture content of the jatropha seeds influenced the force-deformation characteristic curve, deformation energy, maximum deformation and energy per unit volume. While moisture contents 1% (w.b.) and 10% (w.b.) displayed normal force-deformation characteristic, moisture contents 32% (w.b.) and 37% (w.b.) showed wave-effect characteristic. The R<sup>2</sup> coefficient of determination value of 0.87 obtained from the effect of moisture content on deformation energy and unit volume energy shows that jatropha seeds of moisture content 16% (w.b.) would require minimum energy but high efficiency during compression.

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Chin, H. F., and M. B. Mohd Lassim. "DETERMINATION OF MOISTURE CONTENT OF RECALCITRANT SEEDS BY MICROWAVE TECHNIQUE." Acta Horticulturae, no. 215 (October 1987): 159–64. http://dx.doi.org/10.17660/actahortic.1987.215.21.

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Silva, Rosemeire Carvalho, Camila Ribeiro de Souza Grzybowski, Andreza Cerioni Belniaki, Elisa Serra Negra Vieira, and Maristela Panobianco. "DETERMINATION OF MOISTURE CONTENT AND STORAGE POTENTIAL OF GUANANDI SEEDS." FLORESTA 50, no. 1 (December 20, 2019): 953. http://dx.doi.org/10.5380/rf.v50i1.59373.

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HARA, Toshio. "An Improved Determination Method of the Moisture Content of Tea." Chagyo Kenkyu Hokoku (Tea Research Journal), no. 83 (1996): 37–39. http://dx.doi.org/10.5979/cha.1996.83_37.

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MATSUO, Seiji, and Toshio INOUE. "Determination of the Moisture Content of Coal by Microwave Radiation." Journal of the Society of Powder Technology, Japan 28, no. 6 (1991): 373–77. http://dx.doi.org/10.4164/sptj.28.373.

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Melada, J., P. Arosio, M. Gargano, I. Veronese, S. Gallo, and N. Ludwig. "Optical reflectance apparatus for moisture content determination in porous media." Microchemical Journal 154 (May 2020): 104627. http://dx.doi.org/10.1016/j.microc.2020.104627.

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