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Journal articles on the topic 'Automated Sampling'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Tibbits, Matthew M., Chris Groendyke, Murali Haran, and John C. Liechty. "Automated Factor Slice Sampling." Journal of Computational and Graphical Statistics 23, no. 2 (2014): 543–63. http://dx.doi.org/10.1080/10618600.2013.791193.

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2

Kulakova, E. S., A. M. Safarov та V. I. Safarova. "Automated Аir Sampling System". Ecology and Industry of Russia 28, № 3 (2024): 16–21. http://dx.doi.org/10.18412/1816-0395-2024-3-16-21.

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A study was conducted of the problem of high-altitude air pollution in populated areas. A technical solution has been developed that allows automated monitoring of toxicants at various heights from the ground level. A design for a sampling device system coupled with an information system for controlling adjustable valves, registration and recording in a database is proposed. A scheme of a sampling system is presented that allows sampling at various heights in order to obtain a representative assessment of the impact of industrial emission sources on the air quality of a residential area. The distribution of toxicants in the atmospheric air near an industrial emission source was analyzed.

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3

Srinivasan, P. T. "Monitoring, sampling and automated analysis." Water Environment Research 74, no. 6 (2002): 46–70. http://dx.doi.org/10.2175/106143002x140404.

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4

Srinivasan, P. T. "Monitoring, Sampling, and Automated Analysis." Water Environment Research 75, no. 6 (2003): 51–64. http://dx.doi.org/10.2175/106143003x141367.

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5

Askew, Edward F., and Peter Craan. "Monitoring, Sampling, and Automated Analysis." Water Environment Research 78, no. 10 (2006): 1078–83. http://dx.doi.org/10.2175/106143006x119161.

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6

Srinivasan, P. T. "Monitoring, Sampling and Automated Analysis." Water Environment Research 81, no. 10 (2009): 981–85. http://dx.doi.org/10.2175/106143009x12445568399334.

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7

Ninomiya, Satoshi. "Automated Remote Sampling Mass Spectrometry." Journal of the Mass Spectrometry Society of Japan 70, no. 3 (2022): 209–10. http://dx.doi.org/10.5702/massspec.s22-54.

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8

Shamas, Jamal Y., and Victor C. Culpepper. "Monitoring, sampling, and automated analysis." Water Environment Research 69, no. 4 (1997): 415–18. http://dx.doi.org/10.2175/106143097x134731.

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9

Shamas, Jamal Y. "Monitoring, sampling, and automated analysis." Water Environment Research 70, no. 4 (1998): 418–23. http://dx.doi.org/10.2175/106143098x134145.

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10

Aryal, Niroj, Dongyang Deng, Manoj K. Jha, and Andrea Ofori‐Boadu. "Monitoring, sampling, and automated analysis." Water Environment Research 91, no. 10 (2019): 1288–93. http://dx.doi.org/10.1002/wer.1224.

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11

Goo, Reginald. "Monitoring, sampling, and automated analysis." Water Environment Research 65, no. 4 (1993): 300–302. http://dx.doi.org/10.1002/j.1554-7531.1993.tb00051.x.

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12

Goo, Reginald. "Monitoring, sampling, and automated analysis." Water Environment Research 66, no. 4 (1994): 298–302. http://dx.doi.org/10.1002/j.1554-7531.1994.tb00094.x.

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13

Gavars, Didzis, Egīls Gulbis, Mikus Gavars, et al. "Observation of Automated Management Use of Self-Sampling Kits." Proceedings of the Latvian Academy of Sciences. Section B. Natural, Exact, and Applied Sciences. 78, no. 1 (2024): 99–105. http://dx.doi.org/10.2478/prolas-2024-0014.

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Abstract In the current times of ever-growing prevalence of infectious diseases, it is requisite to explore ways to provide the safest and most effective medical care for our patients. The aim of this study is to explain how the issues raised by the SARS-CoV-2 pandemic were addressed by the E. Gulbis Laboratory in Latvia. The study looks back on the goal to introduce an automated and effective solution for the management of self-collected samples. The study is primarily aimed to formulate the conclusions about the data and use of automation in the self-sample kit collection. Results were collected from 18 automated (contactless) sample collection devices used by E. Gulbis Laboratory. Sixty-four thousand two hundred fifty-seven (64,257) saliva kits for SARSCoV-2 PCR testing were employed. It was found that 3.92% of them were positive (SARS-CoV-2 virus RNA found in saliva sample). The average processing time in automated devices located in the capital city was 11.13 hours, in the suburbs — 15.52 hours, rest of the country — 17.60 hours. The average age of patients that choose an automatic device to hand in their saliva sample kits was 33.94 years. These results suggest that by using the automated device, patient contacts are decreased, and direct communication with medical staff is excluded, which reduces the risk of infection during processing. Automated devices make sample kit distribution available 24 hours. They save workforce resources in the laboratory that are already very limited, especially during a pandemic period.

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14

DICKENS, J. A., N. A. COX, J. S. BAILEY, and J. E. THOMSON. "Automated Microbiological Sampling of Broiler Carcasses." Poultry Science 64, no. 6 (1985): 1116–20. http://dx.doi.org/10.3382/ps.0641116.

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15

Muller, Christian G. "Automated Sampling In Accordance with USP." Dissolution Technologies 3, no. 4 (1996): 7–8. http://dx.doi.org/10.14227/dt030496p7.

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16

W. S. Anthony. "Automated Sampling Stations for Cotton Gins." Applied Engineering in Agriculture 8, no. 6 (1992): 765–70. http://dx.doi.org/10.13031/2013.26111.

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17

TAMAKI, Motonori, Takatoshi HIRAKI, and Mitsuhiro MATSUMOTO. "Automated sampling and analysis of precipitation." Journal of Environmental Conservation Engineering 18, no. 9 (1989): 570–74. http://dx.doi.org/10.5956/jriet.18.570.

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18

TAMAKI, Motonori, Takatoshi HIRAKI, and Mitsuhiro MATSUMOTO. "Automated sampling and analysis of precipitation." Journal of Environmental Conservation Engineering 18, no. 10 (1989): 625–34. http://dx.doi.org/10.5956/jriet.18.625.

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19

Cha, Hyemi, Mee Jang, Jong-Myoung Lim, Wanno Lee, and Hyuncheol Kim. "Automated Sampling System for Monitoring 85Kr in Air." Atmosphere 14, no. 7 (2023): 1103. http://dx.doi.org/10.3390/atmos14071103.

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Radioactive krypton-85 (85Kr) gas, a chemically inert and non-proliferation indicator, is derived from fission products. Its detection relies on the Budesamt für Strahlenschutz–Institute of Atmospheric Radioactivity (BfS-IAR) method, which necessitated impurity removal using soda lime, silica gel, and liquid nitrogen for cryogenic adsorption. This manual process requires frequent replacements, posing challenges for its automation. To address this, we developed a prototype krypton sampling system as an interim research product for the fully automated remote monitoring of covert nuclear activity. The system incorporates a hollow fiber membrane for impurity removal, a computer-controlled multi-position valve for sampling, and an electric cooler for adsorption. The impurity removal modules demonstrated high efficiencies, removing H2O and CO2 at 99.8% and 97.8% rates, respectively. Further, the custom-made sampling system can process 16 samples in a single run without analyst intervention. We conducted experiments to verify the automatic krypton sampling capability. The activity concentration of 85Kr in ambient air was measured using the BfS-IAR processing and detection system. The system exhibited a recovery rate of ~7.8% for krypton in 1000 L air, demonstrating good continuous remote monitoring capability. This study promotes the development of an automated analysis system for the detection of 85Kr in ambient air.

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20

Alcázar, Vidal, Susana Fernández, Daniel Borrajo, and Manuela Veloso. "Using random sampling trees for automated planning." AI Communications 28, no. 4 (2015): 665–81. http://dx.doi.org/10.3233/aic-150658.

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21

R. D. Harmel, K. W. King, and R. M. Slade. "AUTOMATED STORM WATER SAMPLING ON SMALL WATERSHEDS." Applied Engineering in Agriculture 19, no. 6 (2003): 667–74. http://dx.doi.org/10.13031/2013.15662.

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22

Huang, Ruoguan, and John Keyser. "Automated sampling and control of gaseous simulations." Visual Computer 29, no. 6-8 (2013): 751–60. http://dx.doi.org/10.1007/s00371-013-0798-0.

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23

Marrelec, G., and H. Benali. "Automated rejection sampling from product of distributions." Computational Statistics 19, no. 2 (2004): 301–15. http://dx.doi.org/10.1007/bf02892062.

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24

Little, Jon C., and Lloyd B. Gordon. "Automated, differentially pumped, mass‐spectrometer sampling system." Review of Scientific Instruments 62, no. 2 (1991): 334–41. http://dx.doi.org/10.1063/1.1142124.

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25

Vivian, B. J., and J. N. Quinton. "Automated water sampling in ephemeral hydrological systems." Earth Surface Processes and Landforms 18, no. 9 (1993): 863–68. http://dx.doi.org/10.1002/esp.3290180911.

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26

Løvendahl, P., and M. A. Bjerring. "Detection of Carryover in Automated Milk Sampling Equipment." Journal of Dairy Science 89, no. 9 (2006): 3645–52. http://dx.doi.org/10.3168/jds.s0022-0302(06)72404-3.

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27

Bodin, P., M. L. Jacobsen, A. Kuehle, et al. "An automated 55 GHz cryogenic Josephson sampling oscilloscope." Review of Scientific Instruments 64, no. 2 (1993): 561–67. http://dx.doi.org/10.1063/1.1144233.

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28

Cheng, Fan-Tien, Yao-Sheng Hsieh, Chun-Fang Chen, and Jhao-Rong Lyu. "Automated sampling decision scheme for the AVM system." International Journal of Production Research 54, no. 21 (2015): 6351–66. http://dx.doi.org/10.1080/00207543.2015.1072649.

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29

Timmermans, L., A. Van den Bergh, A. Verhecken, and C. Van de Sande. "Automated sampling and analysis in research product synthesis." Journal of Automatic Chemistry 14, no. 5 (1992): 169–72. http://dx.doi.org/10.1155/s1463924692000312.

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The information obtained about relevant reaction parameters can be greatly increased by monitoring concentration changes during a reaction. To achieve this goal, a fully automated system was designed which handles both sampling and analysis. The sampling system takes samples at predefined intervals, and also performs a number of tasks such as dilution, neutralization, filtration and analysis.The examples show the universal applicability of the device regarding to solvents, reaction media and reaction type. It is also demonstrated that the information, included in the concentration profiles, greatly increases our knowledge about the reaction. This increase in information, in conjunction with other data,for example calorimetry, could be used for reaction simulation software.

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30

Paoletti, Domenica, and Giuseppe Schirripa Spagnolo. "Automated radon monitoring system for continuous environmental sampling." Revue de Physique Appliquée 25, no. 12 (1990): 1259–63. http://dx.doi.org/10.1051/rphysap:0199000250120125900.

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31

Eriksson, L., S. Holte, C. Bohm, M. Kesselberg, and B. Hovander. "Automated blood sampling systems for positron emission tomography." IEEE Transactions on Nuclear Science 35, no. 1 (1988): 703–7. http://dx.doi.org/10.1109/23.12815.

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32

V. I. Adamchuk, M. T. Morgan, and D. R. Ess. "AN AUTOMATED SAMPLING SYSTEM FOR MEASURING SOIL pH." Transactions of the ASAE 42, no. 4 (1999): 885–92. http://dx.doi.org/10.13031/2013.13268.

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33

Tamm, S., and M. Schulz. "Automated aerosol sampling aboard a North Sea Ferry." Journal of Aerosol Science 30 (September 1999): S189—S190. http://dx.doi.org/10.1016/s0021-8502(99)80106-2.

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34

Schaefer, U., W. Boos, R. Takors, and D. Weuster-Botz. "Automated Sampling Device for Monitoring Intracellular Metabolite Dynamics." Analytical Biochemistry 270, no. 1 (1999): 88–96. http://dx.doi.org/10.1006/abio.1999.4048.

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35

Packard, Vernal S., Roy E. Ginn, and Dick T. Metzger. "Automated Technique for Sampling Milk from Farm Bulk Tanks: Collaborative Study." Journal of AOAC INTERNATIONAL 76, no. 2 (1993): 297–305. http://dx.doi.org/10.1093/jaoac/76.2.297.

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Abstract An automated, in-line, mechanical technique for sampling milk from farm bulk tanks was evaluated in a collaborative study. The automated sampling device, which is mounted on the milk intake line, contains an electronically controlled peristaltic pump. The device takes a representative sample of the entire volume pumped through the system. Samples taken can be analyzed for both composition and microbiological quality. The study was performed in 3 phases. In the first 2 phases, samples taken by manual and automated methods were compared in analyses for somatic cell count, antibiotics, fat, protein, lactose, and solids-not-fat. The third phase, using a modified procedure, was designed to compare sampling methods in analyses for total bacteria count (standard plate count), psychrotrophic bacteria count, and coliform count. Evaluation of the data by a nested ANOVA indicated no difference between results for samples taken by the automated and manual methods (P = 0.05) in Phases 1 and 2, irrespective of whether the bulk milk was agitated before sampling. By introducing a sanitizing step between farms in Phase 3, the automated method also provided samples comparable with those taken manually for microbial analyses. The automated method has been adopted first action by AOAC International.

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36

Wu, Y., A. Abdul Rahim, Z. Tan, J. Lee, J. Lim, and M. Bin Mohamed Ishak. "Automated aseptic sampling device for repeated aseptic sampling from bioreactor during cell manufacturing." Cytotherapy 23, no. 5 (2021): S163. http://dx.doi.org/10.1016/s1465324921005545.

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37

Burge, Scott R., and James May. "Automated ground water sampling and analysis of trichloroethene using a “universal” sampling/analytical system." Groundwater Monitoring & Remediation 25, no. 1 (2005): 113–22. http://dx.doi.org/10.1111/j.1745-6592.2005.0006.x.

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38

Zhang, Yongqi, Quanming Yao, and Lei Chen. "Simple and automated negative sampling for knowledge graph embedding." VLDB Journal 30, no. 2 (2021): 259–85. http://dx.doi.org/10.1007/s00778-020-00640-7.

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39

Wilsey, Amanda S., Yevgeniya E. Koshman, Debra A. Weisbecker, et al. "Automated Blood Sampling in a Canine Telemetry Cardiovascular Model." Comparative Medicine 71, no. 2 (2021): 133–40. http://dx.doi.org/10.30802/aalas-cm-20-000083.

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Successful implementation of automated blood sampling (ABS) into a telemetry instrumented canine cardiovascular model provides simultaneous cardiovascular assessment of novel compounds while collecting multiple blood samples for analysis of drug level, cytokines, and biomarkers. Purpose-bred male Beagle dogs (n = 36) were instrumented with a dual-pressure telemetry transmitter and vascular access port. Modifications to acclimation practices, surgical procedures, and housing were required for implementation of ABS in our established cardiovascular canine telemetry colony. These modifications have increased the use and reproducibility of the model by combining early pharmacokinetic and cardiovascular studies, thus achieving both refinement and reduction from a 3R perspective. In addition, the modified model can shorten timelines and reduce the compound requirement in early stages of drug development. This telemetry–ABS model provides an efficient means to quickly identify potential effects on key cardiovascular parameters in a large animal species and to obtain a more complete pharmacokinetic–pharmacodynamic profile for discovery compounds.

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40

Sidor, Jan, and Marcin Nawrocki. "Systems of grained materials automated sampling from belt conveyors." New Trends in Production Engineering 2, no. 1 (2019): 344–52. http://dx.doi.org/10.2478/ntpe-2019-0037.

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Abstract The collection of representative samples of grained materials is necessary to determine the quality parameters of this material. This operation is carried out in difficult conditions (dustiness, noise, atmospheric precipitation), which is a nuisance to the staff taking samples and adversely affects accuracy. In addition, the quality of representative samples is affected by the care of personnel. Therefore, to ensure a higher quality of sampling operations and to eliminate the work of people in difficult conditions, systems have been developed for the automatic collection of representative samples from conveyor belts. The work gives examples of automatic sampling systems equipped with samplers and other auxiliary devices. The work contains descriptions of construction, classifications, an example of selection and examples of construction solutions for automatic sampling of grained materials.

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41

Farsad, A., S. J. Herbert, M. Hashemi, and A. Sadeghpour. "An Automated Suction Lysimeter for Improved Soil Water Sampling." Vadose Zone Journal 11, no. 4 (2012): vzj2012.0003. http://dx.doi.org/10.2136/vzj2012.0003.

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42

Bolliger, Janine, Marco Collet, Michael Hohl, and Martin K. Obrist. "Automated flight-interception traps for interval sampling of insects." PLOS ONE 15, no. 7 (2020): e0229476. http://dx.doi.org/10.1371/journal.pone.0229476.

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43

Perry, M., T. Vissing, T. P. Boesen, J. S. Hansen, J. Emnéus, and C. H. Nielsen. "Automated sampling and data processing derived from biomimetic membranes." Bioinspiration & Biomimetics 4, no. 4 (2009): 044001. http://dx.doi.org/10.1088/1748-3182/4/4/044001.

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44

Overney, F., and B. Jeanneret. "$RLC$ Bridge Based on an Automated Synchronous Sampling System." IEEE Transactions on Instrumentation and Measurement 60, no. 7 (2011): 2393–98. http://dx.doi.org/10.1109/tim.2010.2100650.

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45

Mucciarone, David A., and Robert B. Dunbar. "Automated multiport flow-through water pumping and sampling system." HardwareX 8 (October 2020): e00147. http://dx.doi.org/10.1016/j.ohx.2020.e00147.

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46

Winkler, Markus, and Jochen Wollenhaupt. "Automated sampling of used oils from internal combustion engines." MTZ worldwide 67, no. 10 (2006): 15–16. http://dx.doi.org/10.1007/bf03227877.

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47

Hill, R. A., and B. G. Snider. "A widely applicable automated sampling apparatus for dissolution testing." International Journal of Pharmaceutics 36, no. 2-3 (1987): 175–83. http://dx.doi.org/10.1016/0378-5173(87)90153-0.

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48

Azar, Jimmy C., Martin Simonsson, Ewert Bengtsson, and Anders Hast. "Automated Classification of Glandular Tissue by Statistical Proximity Sampling." International Journal of Biomedical Imaging 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/943104.

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Due to the complexity of biological tissue and variations in staining procedures, features that are based on the explicit extraction of properties from subglandular structures in tissue images may have difficulty generalizing well over an unrestricted set of images and staining variations. We circumvent this problem by an implicit representation that is both robust and highly descriptive, especially when combined with a multiple instance learning approach to image classification. The new feature method is able to describe tissue architecture based on glandular structure. It is based on statistically representing the relative distribution of tissue components around lumen regions, while preserving spatial and quantitative information, as a basis for diagnosing and analyzing different areas within an image. We demonstrate the efficacy of the method in extracting discriminative features for obtaining high classification rates for tubular formation in both healthy and cancerous tissue, which is an important component in Gleason and tubule-based Elston grading. The proposed method may be used for glandular classification, also in other tissue types, in addition to general applicability as a region-based feature descriptor in image analysis where the image represents a bag with a certain label (or grade) and the region-based feature vectors represent instances.

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49

Islam, Shuvo, Avishek Bose, Christopher A. Jones, Mustaque Hossain, and Cristopher I. Vahl. "Developing an Automated Technique to Calibrate the AASHTOWare Pavement ME Design Software." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 9 (2020): 867–77. http://dx.doi.org/10.1177/0361198120932567.

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Many state highway agencies are in the process of implementing the AASHTOWare Pavement ME Design (PMED) software for routine pavement design. However, a recurring implementation challenge has been the need to locally calibrate the software to reflect an agency’s design and construction practices, materials, and climate. This study introduced a framework to automate the calibration processes of the PMED performance models. This automated technique can search PMED output files and identify relevant damages/distresses for a project on a particular date. After obtaining this damage/distress information, the technique conducts model verification with the global calibration factors. Transfer function coefficients are then automatically derived following an optimization technique and numerical measures of goodness-of-fit. An equivalence statistical testing approach is conducted to ensure predicted performance results are in agreement with the measured data. The automated technique allows users to select one of three sampling approaches: split sampling, jackknifing, or bootstrapping. Based on the sampling approach chosen, the automated technique provides the calibration coefficients or suitable ranges for the coefficients and shows the results graphically. Model bias, standard error, sum squared error, and p-value from the paired t-test are also reported to assess efficacy of the calibration process.

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50

Burge, Scott, Dave Hoffman, Mary Hartman, and Richard Venedam. "Automated Ground-Water Sampling and Analysis of Hexavalent Chromium using a “Universal” Sampling/Analytical System." Sensors 5, no. 1 (2005): 38–50. http://dx.doi.org/10.3390/s5010038.

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