Optimizing of ultrasonic wave-assisted extraction process of L-carnitine from bovine liver

Sun Na; Yu Qunli; Cao Hui

Volume 28 Issue 21

Oct. 2012

Turn off MathJax

Article Contents

Abstract

Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE) > 2012 > 28(21): 280-286.

Sun Na, Yu Qunli, Cao Hui. Optimizing of ultrasonic wave-assisted extraction process of L-carnitine from bovine liver[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2012, 28(21): 280-286.

Citation:

PDF (1272 KB)

Optimizing of ultrasonic wave-assisted extraction process of L-carnitine from bovine liver

More Information

Received Date: January 08, 2012
Revised Date: October 10, 2012
Published Date: October 31, 2012

Graphical Abstract

Abstract

Abstract

The effects of ultrasonication on L-carnitine extraction were studied, and the technological parameters were optimized. Bovine livers were treated by perchloric acid method assisted with ultrasonic to extract L-carnitine. Based on the single factor tests for ultrasonic power, ultrasonic time and solid-liquid ratio, a three-variable quadratic general rotary unitized experimental design was applied to optimize the parameters for ultrasonic extraction of L-carnitine. The results indicated that the influencing factors were ultrasonic power, solid-liquid ratio and ultrasonic time in order. The optimum extraction parameters are as follows: ultrasonic power 437 W, ultrasonic time 15 min and solid-liquid ratio 1:5 g/mL. Under these conditions, the L-carnitine yield was 38.37 mg/kg. The study show that ultrasonic technology in the extraction process is applicable for L-carnitine preparation.
- ultrasonic waves,
- extraction,
- optimization,
- bovine liver,
- L-carnitine

FullText(HTML)

References (0)

[1]	Lu Xinjian, He Kangning, Wang Hui, Wang Wenyi, Zhao Lijuan, An Guocai. AWRA-L model for simulating interception of rainfall loss in large scale[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2015, 31(7): 137-144. DOI: 10.3969/j.issn.1002-6819.2015.07.020
[2]	Song Jiangfeng, Li Dajing, Liu Chunquan. Optimization and kinetics for ultrasonic-assisted extraction of L-dopa from fava bean (Vicia faba L.) sprouts[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2012, 28(19): 248-254.
[3]	Lin Yuxin, Tang Liyu, Chen Chongcheng, Lin Minquan. Design and implementation of tree individual modeling tool based on compounded L-system[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2011, 27(3): 185-190.
[4]	Liao Guiping, Li Jinwei, Ou Zhongbin, Nie Min. Visual growth of flower and inflorescence of rapeseed(Brassica napus L.) based on parametric L-system[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2009, 25(4): 150-156.
[5]	Guan Xiao, Yao Huiyuan. Application of Viscozyme L in preparation of oat bran protein isolate[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2007, 23(9): 234-238.
[6]	Gao Yanping, Yu Hong, Cui Xinzhong, Jiang Guoxing, Wang Meini. Prediction model for rice stem borer based on L-M optimized algorithm and its preliminary application[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2007, 23(7): 162-165.
[7]	Gao Nianfa, Jin Mingfen, Zhang Jian. L-lactic acid zymotechnics using corn flour[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2007, 23(6): 233-236.
[8]	Shen Tao, Liu Liangyun, Ma Jinfeng, Li Cunjun, Wang Jihua. Spatial distribution characteristics of non-point pollution of Miyun reservoir areas based on L-THIA model[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2007, 23(5): 62-68.
[9]	Zhu Qingsheng, Li Yunfeng, Deng Qingqing, Cao Yukun, Fu Hegang. Design of a prototype of virtual plant combining L-system and image-based modeling[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2007, 23(4): 179-182.
[10]	Zhang Bing, Yuan Shouqi, Cheng Li, Yuan Jianping, Cong Xiaoqing. Model for predicting crop water requirements by using L-M optimization algorithm BP neural network[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2004, 20(6): 73-76.