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Xing L, Zhang Q, Liu J, Yu N, Jia Y. Determination of six short-chain fatty acids in rat feces using headspace solid-phase dynamic extraction coupled with GC-MS. J Sep Sci 2024; 47:e2400032. [PMID: 38937913 DOI: 10.1002/jssc.202400032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 05/07/2024] [Accepted: 05/10/2024] [Indexed: 06/29/2024]
Abstract
Short-chain fatty acids (SCFAs) are organic acids with carbon atoms less than six, released through fermentation products by intestinal microbiome, having multiple physiological activities. Considering weak acidity and high volatility, derivatization or liquid-liquid extraction is essential, which is time consuming. Headspace-solid-phase dynamic extraction (HS-SPDE) coupled with gas chromatography-mass spectrometry is automated and effortless to determine SCFAs in rat feces. The extraction procedure is performed by aspirating and discharging the headspace cyclically through a steel needle, coated with an inner polyethylene glycol sorbent. The key parameters of SPDE were optimized including coating type, incubation time and temperature, and number of extraction strokes. Besides, salting-out was conducted. Then, a method by HS-SPDE-GC-MS was established and validated. It only took 3-min incubation time, 4.5 min extraction time, and 13 min chromatographic separation in a run. The recovery, linearity, limit of quantification, and stability were evaluated. Then, the proposed method was applied to analyze rat feces including 18 rats with liver injury and 23 normal controls. Mann-Whitney U test indicated that the concentrations of six SCFAs in normal rat feces were higher than those with liver injury. This method provides a choice for fast, solvent-free, automated, and high-throughput analysis of SCFAs.
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Affiliation(s)
- Lihua Xing
- Department of Biopharmaceuticals, College of Pharmacy, Anhui University of Chinese Medicine, Hefei, P. R. China
| | - Qiang Zhang
- Department of Criminal Science and Technology, Henan Police College, Zhengzhou, P. R. China
| | - Juan Liu
- Department of Biopharmaceuticals, College of Pharmacy, Anhui University of Chinese Medicine, Hefei, P. R. China
- Science and Technology Experimental Center, Shanghai University of Traditional Chinese Medicine, Shanghai, P. R. China
| | - Nianjun Yu
- Department of Biopharmaceuticals, College of Pharmacy, Anhui University of Chinese Medicine, Hefei, P. R. China
| | - Yiqun Jia
- Science and Technology Experimental Center, Shanghai University of Traditional Chinese Medicine, Shanghai, P. R. China
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2
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Yang L, Yuan J, Yu B, Hu S, Bai Y. Sample preparation for fatty acid analysis in biological samples with mass spectrometry-based strategies. Anal Bioanal Chem 2024; 416:2371-2387. [PMID: 38319358 DOI: 10.1007/s00216-024-05185-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 01/05/2024] [Accepted: 01/29/2024] [Indexed: 02/07/2024]
Abstract
Fatty acids (FAs) have attracted many interests for their pivotal roles in many biological processes. Imbalance of FAs is related to a variety of diseases, which makes the measurement of them important in biological samples. Over the past two decades, mass spectrometry (MS) has become an indispensable technique for the analysis of FAs owing to its high sensitivity and precision. Due to complex matrix effect of biological samples and inherent poor ionization efficiency of FAs in MS, sample preparation including extraction and chemical derivatization prior to analysis are often employed. Here, we describe an updated overview of FA extraction techniques, as well as representative derivatization methods utilized in different MS platforms including gas chromatography-MS, liquid chromatography-MS, and mass spectrometry imaging based on different chain lengths of FAs. Derivatization strategies for the identification of double bond location in unsaturated FAs are also summarized and highlighted. The advantages, disadvantages, and prospects of these methods are compared and discussed. This review provides the development and valuable information for sample pretreatment approaches and qualitative and quantitative analysis of interested FAs using different MS-based platforms in complex biological matrices. Finally, the challenges of FA analysis are summarized and the future perspectives are prospected.
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Affiliation(s)
- Li Yang
- Department of Pharmacy, Shanxi Medical University, Taiyuan, 030001, People's Republic of China.
| | - Jie Yuan
- Department of Pharmacy, Shanxi Medical University, Taiyuan, 030001, People's Republic of China
| | - Bolin Yu
- Department of Pharmacy, Shanxi Medical University, Taiyuan, 030001, People's Republic of China
| | - Shuang Hu
- Department of Pharmacy, Shanxi Medical University, Taiyuan, 030001, People's Republic of China
| | - Yu Bai
- Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry and Molecular Engineering, Beijing National Laboratory for Molecular Sciences, Peking University, Beijing, 100871, People's Republic of China.
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3
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Tay KSJ, See HH. Recent Advances in Dispersive Liquid-Liquid Microextraction for Pharmaceutical Analysis. Crit Rev Anal Chem 2024:1-22. [PMID: 38165816 DOI: 10.1080/10408347.2023.2299280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2024]
Abstract
Sample clean-up and pre-concentration are critical components of pharmaceutical analysis. The dispersive liquid-liquid microextraction (DLLME) technique is widely recognized as the most effective approach for enhancing overall detection sensitivity. While various DLLME modes have been advanced in pharmaceutical analysis, there need to be more discussions on pre-concentration techniques specifically developed for this field. This review presents a comprehensive overview of the different DLLME modes used in pharmaceutical analysis from 2017 to May 2023. The review covers the principles of DLLME, the factors affecting microextraction, the selected applications of different DLLME modes, and their advantages and disadvantages. Additionally, it focuses on multi-extraction strategies employed for pharmaceutical analysis.
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Affiliation(s)
- Karen Sze Jie Tay
- Centre for Sustainable Nanomaterials, Ibnu Sina Institute for Scientific and Industrial Research, Universiti Teknologi Malaysia, Johor, Malaysia
- Department of Chemistry, Faculty of Science, Universiti Teknologi Malaysia, Johor, Malaysia
| | - Hong Heng See
- Centre for Sustainable Nanomaterials, Ibnu Sina Institute for Scientific and Industrial Research, Universiti Teknologi Malaysia, Johor, Malaysia
- Department of Chemistry, Faculty of Science, Universiti Teknologi Malaysia, Johor, Malaysia
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Lesan S, Mirzaei H, Khandaghi J, Mogaddam MRA, Javadi A. Development of deep eutectic solvent based pressurized liquid extraction combined with dispersive liquid–liquid microextraction; Application in extraction of aflatoxins from rice samples before HPLC–FLD. Microchem J 2023. [DOI: 10.1016/j.microc.2023.108554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
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5
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Andruch V, Kalyniukova A, Płotka-Wasylka J, Jatkowska N, Snigur D, Zaruba S, Płatkiewicz J, Zgoła-Grześkowiak A, Werner J. Application of deep eutectic solvents in sample preparation for analysis (update 2017–2022). Part A: Liquid phase microextraction. Microchem J 2023. [DOI: 10.1016/j.microc.2023.108509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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6
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Daghi MM, Nemati M, Abbasalizadeh A, Farajzadeh MA, Afshar Mogaddam MR, Mohebbi A. Combination of dispersive solid phase extraction using MIL–88A as a sorbent and deep eutectic solvent–based dispersive liquid–liquid microextraction for the extraction of some pesticides from fruit juices before their determination by GC–MS. Microchem J 2022. [DOI: 10.1016/j.microc.2022.107984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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7
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Green chromatography as a novel alternative for the quality control of Serjania marginata Casar. Leaves. Microchem J 2022. [DOI: 10.1016/j.microc.2022.107671] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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8
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Rapid simultaneous determination of coumarins and organic acids in notopterygium by an isocratic micellar liquid chromatography based on Box-Behnken design. Microchem J 2022. [DOI: 10.1016/j.microc.2022.107592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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9
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Li P, Huang D, Tang J, Zhang P, Meng F. Silica gel impregnated with deep eutectic solvent-based matrix solid-phase dispersion followed by high-performance liquid chromatography for extraction and detection of triazine herbicides in brown sugar. Anal Bioanal Chem 2022; 414:3497-3505. [PMID: 35169904 DOI: 10.1007/s00216-022-03970-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 01/22/2022] [Accepted: 02/08/2022] [Indexed: 11/28/2022]
Abstract
A novel method was developed to determine six triazine herbicides from brown sugar samples using matrix solid-phase dispersion (MSPD) based on silica gel impregnated with deep eutectic solvent (DES) followed by high-performance liquid chromatography with photodiode array detector (HPLC/PDA). Several factors involved in the MSPD procedure such as DES type, DES content in impregnated silica gel, adsorbent-to-sample mass ratio, type and volume of washing solvent, type and volume of eluent, and grinding time were screened using single-factor experiments and then optimized using Box-Behnken design to accomplish the highest recoveries. The above method demonstrated a good linear range (20-1000 μg kg-1) with a determination coefficient exceeding 0.9962, low limits of determination (1.59-3.77 μg kg-1), acceptable limits of quantifications, and acceptable spiking recoveries (95.0-101.7%) for six triazines under optimized conditions. The proposed MSPD-HPLC/PDA method is a convenient, effective, and sensitive method for rapidly isolating and quantifying six triazines from brown sugar.
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Affiliation(s)
- Peng Li
- Institute of Bioengineering and Medical Engineering, Guangdong Academy of Sciences, Guangzhou, 510316, People's Republic of China.,Guangdong Engineering Research Center for Sugar Technology, Guangzhou, 510316, People's Republic of China
| | - Dongting Huang
- Institute of Bioengineering and Medical Engineering, Guangdong Academy of Sciences, Guangzhou, 510316, People's Republic of China.,Guangdong Engineering Research Center for Sugar Technology, Guangzhou, 510316, People's Republic of China
| | - Jingjie Tang
- Institute of Bioengineering and Medical Engineering, Guangdong Academy of Sciences, Guangzhou, 510316, People's Republic of China.,Guangdong Engineering Research Center for Sugar Technology, Guangzhou, 510316, People's Republic of China
| | - Pingjun Zhang
- Institute of Bioengineering and Medical Engineering, Guangdong Academy of Sciences, Guangzhou, 510316, People's Republic of China.,Guangdong Engineering Research Center for Sugar Technology, Guangzhou, 510316, People's Republic of China
| | - Fei Meng
- Institute of Bioengineering and Medical Engineering, Guangdong Academy of Sciences, Guangzhou, 510316, People's Republic of China. .,Guangdong Engineering Research Center for Sugar Technology, Guangzhou, 510316, People's Republic of China.
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Qi W, Zhou C, Kunyi L, Dongmei M, Zhengwei L. Optimization of extraction process of proanthocyanidins from Zijuan tea (
Camellia sinensis
var.
kitmaura
) by response surface design. J FOOD PROCESS PRES 2022. [DOI: 10.1111/jfpp.16213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Wang Qi
- College of Wuliangye Technology and Food Engineering Yibin Vocational and Technical College Yibin China
- College of Food Science and Technology & College of Agronomy and Biotechnology Yunnan Agricultural University Kunming China
| | - Cheng Zhou
- College of Wuliangye Technology and Food Engineering Yibin Vocational and Technical College Yibin China
| | - Liu Kunyi
- College of Wuliangye Technology and Food Engineering Yibin Vocational and Technical College Yibin China
- College of Food Science and Technology & College of Agronomy and Biotechnology Yunnan Agricultural University Kunming China
| | - Mao Dongmei
- Agricultural and Rural Comprehensive Service Center of Fulianpeng Township Eshan Yi Autonomous County Yunnan Province Yuxi China
| | - Liang Zhengwei
- College of Food Science and Technology & College of Agronomy and Biotechnology Yunnan Agricultural University Kunming China
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