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Journal articles on the topic 'Micro-extraction'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 March 2023

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1

Zarabi, Sanaz, Rouhollah Heydari, and Sayed Zia Mohammadi. "Dispersive micro-solid phase extraction in micro-channel." Microchemical Journal 170 (November 2021): 106676. http://dx.doi.org/10.1016/j.microc.2021.106676.

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2

Kanafusa, Sumiyo. "Solid Phase Micro Extraction: SPME." Nippon Shokuhin Kagaku Kogaku Kaishi 65, no. 4 (2018): 215. http://dx.doi.org/10.3136/nskkk.65.215.

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3

Chisvert, Alberto, Soledad Cárdenas, and Rafael Lucena. "Dispersive micro-solid phase extraction." TrAC Trends in Analytical Chemistry 112 (March 2019): 226–33. http://dx.doi.org/10.1016/j.trac.2018.12.005.

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4

Assmann, N., A. Ładosz, and P. Rudolf von Rohr. "Continuous Micro Liquid-Liquid Extraction." Chemical Engineering & Technology 36, no. 6 (April 11, 2013): 921–36. http://dx.doi.org/10.1002/ceat.201200557.

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5

Zhang, Lianfu, Dehua Mou, and Yanshan Du. "Procyanidins: extraction and micro- encapsulation." Journal of the Science of Food and Agriculture 87, no. 12 (2007): 2192–97. http://dx.doi.org/10.1002/jsfa.2899.

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6

Gao, Hongwei, Lianggui Xie, Shuliang Wen, and Yong Kuang. "Micro-Doppler Signature Extraction from Ballistic Target with Micro-Motions." IEEE Transactions on Aerospace and Electronic Systems 46, no. 4 (October 2010): 1969–82. http://dx.doi.org/10.1109/taes.2010.5595607.

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7

He, Man, Xiaoxiao Ou, Yuxin Wang, Zhenna Chen, Dandan Li, Beibei Chen, and Bin Hu. "Porous organic frameworks-based (micro)extraction." Journal of Chromatography A 1609 (January 2020): 460477. http://dx.doi.org/10.1016/j.chroma.2019.460477.

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8

Huang, Xiaojia, and Dongxing Yuan. "Recent Developments of Extraction and Micro-extraction Technologies with Porous Monoliths." Critical Reviews in Analytical Chemistry 42, no. 1 (January 2012): 38–49. http://dx.doi.org/10.1080/10408347.2012.629950.

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9

Ye, Wei Lin. "The Extraction of Buzzwords for Micro-Blogs." Advanced Materials Research 926-930 (May 2014): 2840–44. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2840.

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This paper proposes a method of buzzwords extraction for micro-blogs using buzzwords word-formation features and event correlation. This method includes four important steps. The first step finds out all the candidate words from micro-blog topics by using repeated string searching algorithm. The second step filters the candidate words based on the repeat string properties and language model. The third step extracts the candidate buzzwords through the constraint of words role relationship and special structure model. The last step is to filter the buzzwords according to the words event correlation. The experiments show that the method is accurately and efficiently to extract buzzwords.

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10

Cruz-Vera, M., R. Lucena, S. Cárdenas, and M. Valcárcel. "Sample treatments based on dispersive (micro)extraction." Analytical Methods 3, no. 8 (2011): 1719. http://dx.doi.org/10.1039/c1ay05201b.

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11

Lasarte-Aragonés, Guillermo, Rafael Lucena, Soledad Cárdenas, and Miguel Valcárcel. "Effervescence-assisted dispersive micro-solid phase extraction." Journal of Chromatography A 1218, no. 51 (December 2011): 9128–34. http://dx.doi.org/10.1016/j.chroma.2011.10.042.

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12

Patry, G., K. Jarvi, E. D. Grober, K. C. Lo, and L. Spencer. "Map: micro-testicular sperm extraction avoidance program." Fertility and Sterility 90 (September 2008): S98. http://dx.doi.org/10.1016/j.fertnstert.2008.07.1063.

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13

Otu, Emmanuel O., and Janusz Pawliszyn. "Solid phase micro-extraction of metal ions." Mikrochimica Acta 112, no. 1-4 (January 1993): 41–46. http://dx.doi.org/10.1007/bf01243319.

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14

Asfaram, Arash, Mehrorang Ghaedi, Alireza Goudarzi, and Mustafa Soylak. "Comparison between dispersive liquid–liquid microextraction and ultrasound-assisted nanoparticles-dispersive solid-phase microextraction combined with microvolume spectrophotometry method for the determination of Auramine-O in water samples." RSC Advances 5, no. 49 (2015): 39084–96. http://dx.doi.org/10.1039/c5ra02214b.

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15

Qi, Lin, Ya P. Liu, Nan N. Zhang, and Ying C. Su. "Predictors of testicular sperm retrieval in patients with non-obstructive azoospermia: a review." Journal of International Medical Research 49, no. 4 (April 2021): 030006052110027. http://dx.doi.org/10.1177/03000605211002703.

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Azoospermia is divided into two categories of obstructive azoospermia and non-obstructive azoospermia. Before 1995, couples with a male partner diagnosed with non-obstructive azoospermia had to choose sperm donation or adoption to have a child. Currently, testicular sperm aspiration or micro-dissection testicular sperm extraction combined with intracytoplasmic sperm injection allows patients with non-obstructive azoospermia to have biological offspring. The sperm retrieval rate is significantly higher in micro-dissection testicular sperm extraction compared with testicular sperm aspiration. Additionally, micro-dissection testicular sperm extraction has the advantages of minimal invasion, safety, limited disruption of testicular function, a low risk of postoperative intratesticular bleeding, and low serum testosterone concentrations. Failed micro-dissection testicular sperm extraction has significant emotional and financial implications on the involved couples. Testicular sperm aspiration and micro-dissection testicular sperm extraction have the possibility of failure. Therefore, predicting the sperm retrieval rate before surgery is important. This narrative review summarizes the existing data on testicular sperm aspiration and micro-dissection testicular sperm extraction to identify the possible factor(s) that can predict the presence of sperm to guide clinical practice. The predictors of surgical sperm retrieval in patients with non-obstructive azoospermia have been widely studied, but there is no consensus.

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16

Aydin, Senar, Mehmet Emin Aydin, Fatma Beduk, Arzu Tekinay, and Havva Kilic. "Analysis of diclofenac in water samples using in situ derivatization-vortex-assisted liquid-liquid microextraction with gas chromatography-mass spectrometry." Acta Pharmaceutica 68, no. 3 (September 1, 2018): 313–24. http://dx.doi.org/10.2478/acph-2018-0024.

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Abstract A novel micro-extraction technique for a rapid and sensitive analysis of diclofenac (DCF) in water samples has been developed. DCF was derivatized and extracted simultaneously using vortex-assisted liquid-liquid micro-extraction (VALLME) prior to gas chromatography with mass spectrometry detection. The effects of extraction solvent volume, extraction and derivatization time and ionic strength of the sample were studied using 23 factorial experimental design. The optimum extraction conditions were as follows: 200 μL of chloroform, 25 μL of N-methyl-N-trimethylsilyl-trifluoroacetamide (MSTFA) derivatization reagent, vortex extraction and derivatization time 5 min at 3000 rpm. The extraction recovery for different fortification levels was 98 %. Also, the proposed micro-extraction method exhibited results comparable with the solid phase extraction of real water samples. The proposed one-step VALLME and derivatization method is simpler and faster than the conventional extraction and derivatization methods used for the determination of DCF in real water samples.

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17

Jayasinghe, G. D. Thilini Madurangika, and Antonio Moreda-Piñeiro. "Molecularly Imprinted Polymers for Dispersive (Micro)Solid Phase Extraction: A Review." Separations 8, no. 7 (July 6, 2021): 99. http://dx.doi.org/10.3390/separations8070099.

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The review describes the development of batch solid phase extraction procedures based on dispersive (micro)solid phase extraction with molecularly imprinted polymers (MIPs) and magnetic MIPs (MMIPs). Advantages and disadvantages of the various MIPs for dispersive solid phase extraction and dispersive (micro)solid phase extraction are discussed. In addition, an effort has also been made to condense the information regarding MMIPs since there are a great variety of supports (magnetite and magnetite composites with carbon nanotubes, graphene oxide, or organic metal framework) and magnetite surface functionalization mechanisms for enhancing MIP synthesis, including reversible addition-fragmentation chain-transfer (RAFT) polymerization. Finally, drawbacks and future prospects for improving molecularly imprinted (micro)solid phase extraction (MIMSPE) are also appraised.

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18

Zhou, Xue Mei, and Yi Zhe Liu. "Data Detection, Tracking and Sentiment Analysis Based on Micro-Blog Data." Advanced Materials Research 1079-1080 (December 2014): 609–13. http://dx.doi.org/10.4028/www.scientific.net/amr.1079-1080.609.

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With development of information technology and network technique, as information media micro-blog becomes more and more important. Micro-blog is noted for preeminent simple, convenient and interactivity. However with the help of micro-blog, fake information is rampant increasingly. The public opinion analysis of micro-blog data allows of no delay. This paper explicates the features of micro-blog text, and then describes text information extraction technology such as top detection, tracking in detail. The outcomes of information extraction can inform government department spot of internet public opinion in real time.

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19

Yan, Dong Mei, and Lian Yu. "Comparative Research on Aroma from Mango Juice Extracted by Different Methods." Advanced Materials Research 396-398 (November 2011): 1302–5. http://dx.doi.org/10.4028/www.scientific.net/amr.396-398.1302.

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Aroma was extracted from fresh Mango juice by solvent extraction, simultaneous distilled extraction and solid phase micro-extraction. The chemical components of aroma were analyzed by GC-MS and check up, compared carefully. The results show that the ingredients and contents of the aroma obtained by these different ways are different. The main chemical components that were extracted by solvent extraction are Terpinolen(73.65%), Ocimen(6.46%), beta-Pinene (3.2%), Limonene(2.4%); that by simultaneous distilled extraction are Terpinolen(81.77%),Ocimene (5.79%), Limonene(2.68%), 3-Caren(2.21%); that by solid phase micro-extraction are Terpinolen(82.09%), 3-Caren(5.21%), Limonene(4.35%), Ocimene (3.47%).

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20

Takao, Yoshinori, Kenta Hiramoto, Yuichi Nakagawa, Yusuke Kasagi, Hiroyuki Koizumi, and Kimiya Komurasaki. "Electron extraction mechanisms of a micro-ECR neutralizer." Japanese Journal of Applied Physics 55, no. 7S2 (June 24, 2016): 07LD09. http://dx.doi.org/10.7567/jjap.55.07ld09.

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21

Li, Shaowei, Shan Jing, Qiang Luo, Jing Chen, and Guangsheng Luo. "Bionic system for countercurrent multi-stage micro-extraction." RSC Advances 2, no. 29 (2012): 10817. http://dx.doi.org/10.1039/c2ra21818f.

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22

Yan, Wen-Jing, and Yu-Hsin Chen. "Measuring dynamic micro-expressions via feature extraction methods." Journal of Computational Science 25 (March 2018): 318–26. http://dx.doi.org/10.1016/j.jocs.2017.02.012.

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23

Lin, Huaqing, Jiale Wang, Lingjie Zeng, Gang Li, Yunfei Sha, Da Wu, and Baizhan Liu. "Development of solvent micro-extraction combined with derivatization." Journal of Chromatography A 1296 (June 2013): 235–42. http://dx.doi.org/10.1016/j.chroma.2013.04.039.

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24

Flanagan, R. J., P. E. Morgan, E. P. Spencer, and R. Whelpton. "Micro-extraction techniques in analytical toxicology: short review." Biomedical Chromatography 20, no. 6-7 (2006): 530–38. http://dx.doi.org/10.1002/bmc.671.

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25

Ritchie, Matthew, Francesco Fioranelli, Hervé Borrion, and Hugh Griffiths. "Multistatic micro‐Doppler radar feature extraction for classification of unloaded/loaded micro‐drones." IET Radar, Sonar & Navigation 11, no. 1 (January 2017): 116–24. http://dx.doi.org/10.1049/iet-rsn.2016.0063.

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26

Khezeli, Tahere, and Ali Daneshfar. "Development of dispersive micro-solid phase extraction based on micro and nano sorbents." TrAC Trends in Analytical Chemistry 89 (April 2017): 99–118. http://dx.doi.org/10.1016/j.trac.2017.01.004.

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27

Pinto, Juan J., Mabel Martín, Belén Herce-Sesa, José A. López-López, and Carlos Moreno. "Solvent bar micro-extraction: Improving hollow fiber liquid phase micro-extraction applicability in the determination of Ni in seawater samples." Talanta 142 (September 2015): 84–89. http://dx.doi.org/10.1016/j.talanta.2015.04.029.

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28

Wang, Dan, Zhuomin Zhang, Lin Luo, Tiemei Li, Lan Zhang, and Guonan Chen. "ZnO nanorod array solid phase micro-extraction fiber coating: fabrication and extraction capability." Nanotechnology 20, no. 46 (October 21, 2009): 465702. http://dx.doi.org/10.1088/0957-4484/20/46/465702.

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29

Babaee, Shirin, and Ali Daneshfar. "Extraction of phenolic compounds from water samples by dispersive micro-solid-phase extraction." Journal of Separation Science 39, no. 13 (May 30, 2016): 2508–16. http://dx.doi.org/10.1002/jssc.201500977.

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30

Bae, Eun-Jeong, Shin-Woo Kang, Geun-Su Choi, Eun-Bi Jang, Dong-Hyun Baek, Byeong-Kwon Ju, and Young-Wook Park. "Enhanced Light Extraction from Organic Light-Emitting Diodes with Micro-Nano Hybrid Structure." Nanomaterials 12, no. 8 (April 8, 2022): 1266. http://dx.doi.org/10.3390/nano12081266.

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In this study, an external light extraction layer with a micro-nano hybrid structure was applied to improve the external light extraction efficiency of organic light-emitting diodes (OLEDs). A reactive ion-etching (RIE) process, using O2 and CHF3 plasma, was performed on the surface of the micro-scale pattern to form micro-nano hybrid structures. According to the results of this study, the nanostructures formed by the treatment of O2 and CHF3 were different, and the efficiency according to the structures was analyzed experimentally and theoretically. As a result, the OLED, to which the micro-nano hybrid structure, manufactured through a simple process, is applied, improved the external light extraction efficiency by up to 38%, and an extended viewing angle profile was obtained. Additionally, an effective method for enhancing the out-coupling efficiency of OLEDs was presented by optimizing the micro-nano hybrid structure according to process conditions.

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31

Shen, Xiao Xia, Ya Zhou Ren, and Guo Yan Dong. "Optimizing Design of LEDs with Photonic Crystal and Planer Micro Cavity for High Extraction Efficiency." Advanced Materials Research 860-863 (December 2013): 937–40. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.937.

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LED structures with the introducing of surface PC and planer micro cavity was described to improve the light extraction efficiency of LEDs. The distributions of guided modes propagated in LED were analyzed, and the modal extraction lengths were determined using high-resolution angle-resolved measurements in order to research the interaction of each guided mode with PCs. The impact of structure parameters design on modal extraction length was learned. Result shows that PC extraction will not interfere with micro cavity effects, and can be used together to enhance LEE.

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32

Gao, Kun Yang, Xiao Feng Huang, Yong Yang, Lei Yang, Qi Dong Xia, Yan Fu Wei, Tao Zhou, and Yang Song Qin. "Advances on the Extraction and Separation Technologies in Tea Aroma Components Research." Advanced Materials Research 301-303 (July 2011): 421–25. http://dx.doi.org/10.4028/www.scientific.net/amr.301-303.421.

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Study on the tea aroma components is greatly significant, which are important factors in tea quality valuation.In recent years, nine main methods are under consideration：simultaneous distillation and solvent extraction, vacuum distillation extraction, steam distillation under reduced pressure, headspace analysis, solid-phase micro-extractions, headspace solid-phase micro-extractions, tea liquid absorption, supercritical fluid extraction and electronic nose. Meanwhile, advantages and disadvantages of each method were analyzed, in order to conduct technological guidance on the extraction and separation technologies in tea aroma components and provide a theoretical basis in improvement of each method.

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33

Yang, Degui, Xing Wang, Jin Li, and Zhenghong Peng. "Micro-Doppler Curves Extraction of Space Target Based on Modified Synchro-Reassigning Transform and Ridge Segment Linking." Remote Sensing 14, no. 15 (August 2, 2022): 3691. http://dx.doi.org/10.3390/rs14153691.

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The micro-movement feature is recognized as one of the practical features of space target recognition in academic circles. The separation of the micro-Doppler curve of the scattering center is the key to feature extraction and parameter estimation, which depends on the time–frequency analysis method. The existing techniques have low separation accuracy and adaptability when there are overlap and noise in the time–frequency domain. This paper proposes a micro-Doppler feature extraction algorithm of a space target based on the modified synchro-reassigning transform (MSRT) and ridge segment linking. The MSRT can eliminate repeated assignment problems, has more accurate micro-Doppler frequency estimates than the synchro-reassigning transform, and has lower computational complexity than second-order synchronous compression and synchronous extraction transforms. The re-linking of the ridge realizes the correct connection of the micro-Doppler curves of each scattering center. The simulation data and the electromagnetic calculation data verify the method’s effectiveness.

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34

Oertel, Peter, Andreas Bergmann, Sina Fischer, Phillip Trefz, Anne Küntzel, Petra Reinhold, Heike Köhler, Jochen K. Schubert, and Wolfram Miekisch. "Evaluation of needle trap micro-extraction and solid-phase micro-extraction: Obtaining comprehensive information on volatile emissions from in vitro cultures." Biomedical Chromatography 32, no. 10 (June 5, 2018): e4285. http://dx.doi.org/10.1002/bmc.4285.

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35

Yuan, Dong, and Long Sheng Lu. "Surface Microstructure Machining for LED Light Extraction Efficiency Enhancement." Key Engineering Materials 589-590 (October 2013): 537–42. http://dx.doi.org/10.4028/www.scientific.net/kem.589-590.537.

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The external efficiency of LED is limited by total internal reflection on the interfacial surface. Surface structure modification is an effective way to solve this problem. In this work, micromachining method was present to manufacture surface microstructures for the GaN based LED light extraction efficiency enhancement. The feasibility of micromachining was discussed theoretically and proved by experimental study in this work. Micro-cutting and micro-forming approach was found be suitable for GaN surface microstructure machining. An experimental study of micro-cutting was carried out. The result shows that no crack and failure occurred during micro-cutting with 1μm cutting depth. This result demonstrated that microstructure can be machined on GaN based LED surface to enhance the LED light extraction efficiency.

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36

Zhao, Feng, Xiaobin Liu, Zhiming Xu, Yuan Liu, and Xiaofeng Ai. "Micro-Motion Feature Extraction of a Rotating Target Based on Interrupted Transmitting and Receiving Pulse Signal in an Anechoic Chamber." Electronics 8, no. 9 (September 13, 2019): 1028. http://dx.doi.org/10.3390/electronics8091028.

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The pulse signal is widely used in micro-motion feature extraction of rapidly rotating targets as its pulse repetition frequency (PRF) can be high. However, when the pulse signal is implemented in a range-limited anechoic chamber for micro-motion feature extraction, the transmitted and reflected pulse signals may be coupled at the receiver. To solve this problem, the interrupted transmitting and receiving (ITR) method is applied to transmit the pulse signal with hundreds of sub-pulses. The target echo can be received when the sub-pulse is not transmitted. Hence, it avoids the coupling effect of transmitted signals and echoes. Then, the whole process of micro-motion feature extraction for rotating target is proposed based on the ITR method. At last, the simulations and experiments verify that the rotating target micro-Doppler can be extracted by the ITR pulse signal.

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37

Zhao, Yue, and Jiancheng Xu. "Necessary Morphological Patches Extraction for Automatic Micro-Expression Recognition." Applied Sciences 8, no. 10 (October 3, 2018): 1811. http://dx.doi.org/10.3390/app8101811.

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Micro expressions are usually subtle and brief facial expressions that humans use to hide their true emotional states. In recent years, micro-expression recognition has attracted wide attention in the fields of psychology, mass media, and computer vision. The shortest micro expression lasts only 1/25 s. Furthermore, different from macro-expressions, micro-expressions have considerable low intensity and inadequate contraction of the facial muscles. Based on these characteristics, automatic micro-expression detection and recognition are great challenges in the field of computer vision. In this paper, we propose a novel automatic facial expression recognition framework based on necessary morphological patches (NMPs) to better detect and identify micro expressions. Micro expression is a subconscious facial muscle response. It is not controlled by the rational thought of the brain. Therefore, it calls on a few facial muscles and has local properties. NMPs are the facial regions that must be involved when a micro expression occurs. NMPs were screened based on weighting the facial active patches instead of the holistic utilization of the entire facial area. Firstly, we manually define the active facial patches according to the facial landmark coordinates and the facial action coding system (FACS). Secondly, we use a LBP-TOP descriptor to extract features in these patches and the Entropy-Weight method to select NMP. Finally, we obtain the weighted LBP-TOP features of these NMP. We test on two recent publicly available datasets: CASME II and SMIC database that provided sufficient samples. Compared with many recent state-of-the-art approaches, our method achieves more promising recognition results.

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38

Koiwa, Kozo, Hirishi TANAKA, Chiaki HIWA, and Yoshikazu NAKAI. "723 Extraction of Fiber/Matrix Micro-Debonding Fracture Toughness by Using Micro Model Composites." Proceedings of Conference of Kansai Branch 2008.83 (2008): _7–23_. http://dx.doi.org/10.1299/jsmekansai.2008.83._7-23_.

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39

Huang, Wei. "Elderly Depression Recognition Based on Facial Micro-Expression Extraction." Traitement du Signal 38, no. 4 (August 31, 2021): 1123–30. http://dx.doi.org/10.18280/ts.380423.

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Depression leads to a high suicide rate and a high death rate. But the disease can be cured if recognized in time. At present, there are only a few low-precision methods for recognizing mental health or mental disorder. Therefore, this paper attempts to recognize elderly depression by extracting facial micro-expressions. Firstly, a micro-expression recognition model was constructed for elderly depression recognition. Then, a jump connection structure and a feature fusion module were introduced to VGG-16 model, realizing the extraction and classification of micro-expression features. After that, a quantitative evaluation approach was proposed for micro-expressions based on the features of action units, which improves the recognition accuracy of elderly depression expressions. Finally, the advanced features related to the dynamic change rate of depression micro-expressions were constructed, and subjected to empirical modal decomposition (EMD) and Hilbert analysis. The effectiveness of our algorithm was proved through experiments.

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40

Artz, Willam E., and Robert M. Sauer. "An improved micro-extraction cell for supercritical fluid extraction and chromatography of fatty acids." Journal of the American Oil Chemists' Society 69, no. 4 (April 1992): 309–13. http://dx.doi.org/10.1007/bf02636056.

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41

Zarghampour, Fereshteh, Yadollah Yamini, Mahroo Baharfar, Ghazal Javadian, and Mohammad Faraji. "On-chip electromembrane extraction followed by sensitive digital image-based colorimetry for determination of trace amounts of Cr(vi)." Analytical Methods 12, no. 4 (2020): 483–90. http://dx.doi.org/10.1039/c9ay02328c.

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In this work, an on-chip electromembrane extraction coupled with the micro solid phase extraction step was developed for extraction, preconcentration, and determination of trace amounts of chromium(vi) in water samples.

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42

Arghavani-Beydokhti, Somayeh, Maryam Rajabi, and Alireza Asghari. "Application of syringe to syringe dispersive micro-solid phase extraction using a magnetic layered double hydroxide for the determination of cadmium(ii) and lead(ii) ions in food and water samples." Analytical Methods 10, no. 11 (2018): 1305–14. http://dx.doi.org/10.1039/c7ay01857f.

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In this work, a new mode of dispersive solid-phase extraction named syringe to syringe magnetic dispersive micro-solid phase extraction is presented as an efficient and eco-friendly sample extraction method.

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43

AYANO, Shigeru, Masaki MIYAKE, Yasushi IFUKU, Hiroya ISHIKAWA, Mitsuya SHIMODA, and Yutaka OSAJIMA. "Extraction of Limonoids Using Micro Bubble Supercritical Carbon Dioxide." NIPPON SHOKUHIN KAGAKU KOGAKU KAISHI 43, no. 4 (1996): 395–99. http://dx.doi.org/10.3136/nskkk.43.395.

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44

He, Si-san, Jian-xiong Zhou, Hui-ning Zhao, and Qiang Fu. "Micro-Doppler Signal Extraction Based on AM-LFM Decomposition." JOURNAL OF ELECTRONICS INFORMATION & TECHNOLOGY 32, no. 3 (April 19, 2010): 554–58. http://dx.doi.org/10.3724/sp.j.1146.2009.00444.

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45

Mamat Razali, Nur Amira, Wan Mohd Hanif Wan Ya'acob, Rusaini Athirah Ahmad Rusdi, and Fauziah Abdul Aziz. "Extraction of Rice Straw Alpha Cellulose Micro/Nano Fibres." Materials Science Forum 888 (March 2017): 244–47. http://dx.doi.org/10.4028/www.scientific.net/msf.888.244.

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Rice straw cellulose a biomass materials, naturally found in abundance. It is low cost, eco-friendly and biodegradable. Alpha cellulose is prepared from rice straw using chemical method namely acid hydrolysis and alkaline treatment. Both of the samples treatments were bleached using sodium chlorite (NaClO2). Alkaline treatment shows higher in producing alpha cellulose, 20.68% rather than 12.20% by acid hydrolysis.

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46

Sasaki, Takayuki, and Koichi Takamiya. "Liquid-Liquid Micro Batch Extraction System for Rapid Separation." Chemistry Letters 32, no. 2 (February 2003): 184–85. http://dx.doi.org/10.1246/cl.2003.184.

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47

Lee, Y., W. A. Barletta, K. N. Leung, V. V. Ngo, P. Scott, M. Wilcox, and N. Zahir. "Multi-aperture extraction system with micro-beamlet switching capability." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 474, no. 1 (November 2001): 86–92. http://dx.doi.org/10.1016/s0168-9002(01)00864-6.

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García-Valverde, M. T., R. Lucena, S. Cárdenas, and M. Valcárcel. "Titanium-dioxide nanotubes as sorbents in (micro)extraction techniques." TrAC Trends in Analytical Chemistry 62 (November 2014): 37–45. http://dx.doi.org/10.1016/j.trac.2014.06.015.

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Dinnis, A. R. "EBT micro-extraction structures fabricated by focused ion-beam." Microelectronic Engineering 35, no. 1-4 (February 1997): 447–50. http://dx.doi.org/10.1016/s0167-9317(96)00183-9.

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Dinnis, A. R. "Micro-extraction spectrometer for voltage contrast in the SEM." Microelectronic Engineering 41-42 (March 1998): 611–14. http://dx.doi.org/10.1016/s0167-9317(98)00143-9.

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