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Shang Y, Meng X, Liu J, Song N, Zheng H, Han C, Ma Q. Applications of mass spectrometry in cosmetic analysis: An overview. J Chromatogr A 2023; 1705:464175. [PMID: 37406420 DOI: 10.1016/j.chroma.2023.464175] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 06/19/2023] [Accepted: 06/19/2023] [Indexed: 07/07/2023]
Abstract
Mass spectrometry (MS) is a crucial tool in cosmetic analysis. It is widely used for ingredient screening, quality control, risk monitoring, authenticity verification, and efficacy evaluation. However, due to the diversity of cosmetic products and the rapid development of MS-based analytical methods, the relevant literature needs a more systematic collation of information on this subject to unravel the true potential of MS in cosmetic analysis. Herein, an overview of the role of MS in cosmetic analysis over the past two decades is presented. The currently used sample preparation methods, ionization techniques, and types of mass analyzers are demonstrated in detail. In addition, a brief perspective on the future development of MS for cosmetic analysis is provided.
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Affiliation(s)
- Yuhan Shang
- Chinese Academy of Inspection and Quarantine, Beijing 100176, China
| | - Xianshuang Meng
- Chinese Academy of Inspection and Quarantine, Beijing 100176, China
| | - Juan Liu
- Chinese Academy of Inspection and Quarantine, Beijing 100176, China
| | - Naining Song
- Chinese Academy of Inspection and Quarantine, Beijing 100176, China
| | - Hongyan Zheng
- Chinese Academy of Inspection and Quarantine, Beijing 100176, China
| | - Chao Han
- College of Biology and Environmental Engineering, Zhejiang Shuren University, Hangzhou 310015, China
| | - Qiang Ma
- Chinese Academy of Inspection and Quarantine, Beijing 100176, China.
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2
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Yin Z, Yuan B, Lyu W, Huang Q, Simon JE, Wu Q. Method development and validation for analysis of phenolic compounds in fatty complex matrices using enhanced matrix removal (EMR) lipid cleanup and UHPLC-QqQ-MS/MS. Food Chem 2022; 373:131096. [PMID: 34710678 DOI: 10.1016/j.foodchem.2021.131096] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 08/15/2021] [Accepted: 09/06/2021] [Indexed: 12/01/2022]
Abstract
Reliable analysis of phenolic compounds in fatty matrices is a challenging task. In this work, a robust analytical method was developed and validated for 55 phenolic compounds employing QuEChERS (quick, efficient, cheap, easy, rugged and safe) and Enhanced Matrix Removal (EMR)-lipid cleanup in 96-well plates for sample preparation, coupled with ultra-high performance liquid chromatography with triple quadrupole mass spectrometry (UHPLC-QqQ-MS/MS). Seven high-fat matrices of pork brain, belly and liver; horse serum, beef, salmon and avocado were explored for method validation and led to promising stepwise recoveries of extraction, clean-up, drying-reconstitution of most analytes ranging from 75% to 113%, and with an accuracy of 78%∼117%, except for six catechin-analogues. The matrix removal efficiency of EMR was determined using UHPLC-quadruple time of flight (QTOF)-MS, and results indicated that 56%∼77% of co-extractives were removed. This method would be readily extended to wide range of applications demanding high-throughput and sensitive analysis of phenolic compounds in fatty samples.
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Affiliation(s)
- Zhiya Yin
- New Use Agriculture and Natural Plant Products Program, Department of Plant Biology Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ 08901, USA; Department of Food Science, Rutgers, The State University of New Jersey, 65 Dudley Road, New Brunswick, NJ 08901, USA
| | - Bo Yuan
- New Use Agriculture and Natural Plant Products Program, Department of Plant Biology Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ 08901, USA; Department of Food Science, Rutgers, The State University of New Jersey, 65 Dudley Road, New Brunswick, NJ 08901, USA
| | - Weiting Lyu
- New Use Agriculture and Natural Plant Products Program, Department of Plant Biology Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ 08901, USA; Department of Medicinal Chemistry, Rutgers, The State University of New Jersey, 160 Frelinghuysen Road, Piscataway, NJ 08854, USA
| | - Qingrong Huang
- Department of Food Science, Rutgers, The State University of New Jersey, 65 Dudley Road, New Brunswick, NJ 08901, USA
| | - James E Simon
- New Use Agriculture and Natural Plant Products Program, Department of Plant Biology Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ 08901, USA; Department of Medicinal Chemistry, Rutgers, The State University of New Jersey, 160 Frelinghuysen Road, Piscataway, NJ 08854, USA; Center for Agricultureal Food Ecosystens, The New Jersey Institute for Food, Nutrition and Health, Rutgers University, 61 Dudley Road, New Brunswick, NJ 08901, USA.
| | - Qingli Wu
- New Use Agriculture and Natural Plant Products Program, Department of Plant Biology Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ 08901, USA; Department of Food Science, Rutgers, The State University of New Jersey, 65 Dudley Road, New Brunswick, NJ 08901, USA; Department of Medicinal Chemistry, Rutgers, The State University of New Jersey, 160 Frelinghuysen Road, Piscataway, NJ 08854, USA; Center for Agricultureal Food Ecosystens, The New Jersey Institute for Food, Nutrition and Health, Rutgers University, 61 Dudley Road, New Brunswick, NJ 08901, USA.
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Yuan B, Zhao D, Lyu W, Yin Z, Kshatriya D, Simon JE, Bello NT, Wu Q. Development and validation of a micro-QuEChERS method with high-throughput enhanced matrix removal followed with UHPLC-QqQ-MS/MS for analysis of raspberry ketone-related phenolic compounds in adipose tissues. Talanta 2021; 235:122716. [PMID: 34517584 DOI: 10.1016/j.talanta.2021.122716] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 07/11/2021] [Accepted: 07/12/2021] [Indexed: 11/28/2022]
Abstract
Raspberry ketone (RK) is a major flavor compound in red raspberries, and it has been marketed as a popular weight-loss dietary supplement with high potential in accumulating in fatty tissues. However, challenges in extracting and characterizing RK and its associated phenolic compounds in fatty tissues persist due to the complex matrix effect. In this work, we reported a high-throughput sample preparation method for RK and 25 related phenolic compounds in white adipose tissues using an improved micro-scale QuEChERS (quick, efficient, cheap, easy, rugged and safe) approach with enhanced matrix removal (EMR)-lipid cleanup in 96-well plates, followed by UHPLC-QqQ-MS/MS analysis. The absolute recovery was 73-105% at the extraction step, and achieved 71-96% at the EMR cleanup step. The EMR cleanup removed around 66% of total lipids in the acetonitrile extract as profiled by UHPLC-QTOF-MS/MS. The innovative introduction of a reversed-phase C18 sorbent into the extract significantly improved the analytes' recovery during SpeedVac drying. The final accuracy achieved 80-120% for most analytes. Overall, this newly developed and validated method could serve as a powerful tool for analyzing RK and related phenolic compounds in fatty tissues.
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Affiliation(s)
- Bo Yuan
- New Use Agriculture and Natural Plant Products Program, Department of Plant Biology and Center for Agriculture Food Ecosystems, Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ, 08901, USA; Department of Food Science, Rutgers, The State University of New Jersey, 65 Dudley Road, New Brunswick, NJ, 08901, USA
| | - Danyue Zhao
- New Use Agriculture and Natural Plant Products Program, Department of Plant Biology and Center for Agriculture Food Ecosystems, Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ, 08901, USA; Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong.
| | - Weiting Lyu
- New Use Agriculture and Natural Plant Products Program, Department of Plant Biology and Center for Agriculture Food Ecosystems, Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ, 08901, USA; Department of Medicinal Chemistry, Rutgers, The State University of New Jersey, 160 Frelinghuysen Road, Piscataway, NJ, 08854, USA
| | - Zhiya Yin
- New Use Agriculture and Natural Plant Products Program, Department of Plant Biology and Center for Agriculture Food Ecosystems, Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ, 08901, USA; Department of Food Science, Rutgers, The State University of New Jersey, 65 Dudley Road, New Brunswick, NJ, 08901, USA
| | - Dushyant Kshatriya
- Department of Animal Sciences and Nutritional Sciences, School of Environmental and Biological Sciences,
Rutgers University, 84 Lipman Drive, New Brunswick, NJ, 08901, USA
| | - James E Simon
- New Use Agriculture and Natural Plant Products Program, Department of Plant Biology and Center for Agriculture Food Ecosystems, Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ, 08901, USA; Department of Medicinal Chemistry, Rutgers, The State University of New Jersey, 160 Frelinghuysen Road, Piscataway, NJ, 08854, USA
| | - Nicholas T Bello
- Department of Animal Sciences and Nutritional Sciences, School of Environmental and Biological Sciences,
Rutgers University, 84 Lipman Drive, New Brunswick, NJ, 08901, USA
| | - Qingli Wu
- New Use Agriculture and Natural Plant Products Program, Department of Plant Biology and Center for Agriculture Food Ecosystems, Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ, 08901, USA; Department of Food Science, Rutgers, The State University of New Jersey, 65 Dudley Road, New Brunswick, NJ, 08901, USA; Department of Medicinal Chemistry, Rutgers, The State University of New Jersey, 160 Frelinghuysen Road, Piscataway, NJ, 08854, USA.
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Jiafeng Y, Decheng S, Xiaoyong L, Yang L, Guangyu L, Min BS. Multiresidue determination of 19 anabolic steroids in animal oil using enhanced matrix removal lipid cleanup and ultrahigh performance liquid chromatography-tandem mass spectrometry. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2021; 13:2374-2383. [PMID: 34027940 DOI: 10.1039/d1ay00437a] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
A method for sensitive analysis of 19 anabolic steroids (AS) in animal oil using enhanced matrix removal lipid (EMR-Lipid) cleanup and ultrahigh performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) was developed. Oil samples were extracted with 20 mL of acetonitrile aqueous solution and purified using EMR-Lipid cartridges. The eluent was evaporated to dryness under nitrogen and analyzed by UHPLC-MS/MS using 0.1% formic acid-acetonitrile and 0.1% formic acid-water solutions as the mobile phase via gradient elution. The method effectively removed unwanted matrix co-extractives better than other extraction cleanup techniques while still delivering acceptable recovery results for most of the AS. The established quantification method showed AS recovery in the range of 72.9-110.7% with good precision (relative standard deviation < 15%).
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Affiliation(s)
- Yu Jiafeng
- Liaoning Provincial Inspection and Testing Certification Center, Shenyang 110016, China
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Sun D, Jin Y, Zhao Q, Tang C, Li Y, Wang H, Qin Y, Zhang J. Modified EMR-lipid method combined with HPLC-MS/MS to determine folates in egg yolks from laying hens supplemented with different amounts of folic acid. Food Chem 2020; 337:127767. [PMID: 32799162 DOI: 10.1016/j.foodchem.2020.127767] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 07/24/2020] [Accepted: 08/02/2020] [Indexed: 12/29/2022]
Abstract
Egg yolks are a good source of folates. However, the method for analyzing the naturally occurring folates in egg yolks is complicated and time-consuming. In this study, a simplified pre-treatment method followed by validated HPLC-MS/MS was developed to determine native folates in eggs from laying hens treated with different amounts of folic acid. The modified enhanced matrix removal -lipid method to purify samples showed good performance in lipid elimination, reduction of steps and time savings. According to experimental analysis, yolks contained total folate amounts ranging from 147 to 760 μg/100 g when laying hens' diet was supplemented with folic acid from 0 to 10 mg/kg. Four folate vitamers were detected in egg yolks: 5-methyltetrahydrofolate accounted for 91-98% of total folates, whereas folic acid, 5-formyltetrahydrofolate and 10-formylfolic acid together accounted for 2-9%. Therefore, laying hens efficiently converted folic acid in feed into 5-methyltetrahydrofolate in eggs with little folic acid deposition.
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Affiliation(s)
- Dandan Sun
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences of Chinese Academy of Agricultural Sciences, Beijing 100193, China; Scientific Observing and Experiment Station of Animal Genetic Resources and Nutrition in North China of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences of Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Yue Jin
- Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Qingyu Zhao
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences of Chinese Academy of Agricultural Sciences, Beijing 100193, China; Scientific Observing and Experiment Station of Animal Genetic Resources and Nutrition in North China of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences of Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Chaohua Tang
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences of Chinese Academy of Agricultural Sciences, Beijing 100193, China; Scientific Observing and Experiment Station of Animal Genetic Resources and Nutrition in North China of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences of Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Yi Li
- Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Hao Wang
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences of Chinese Academy of Agricultural Sciences, Beijing 100193, China; Scientific Observing and Experiment Station of Animal Genetic Resources and Nutrition in North China of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences of Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Yuchang Qin
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences of Chinese Academy of Agricultural Sciences, Beijing 100193, China; Scientific Observing and Experiment Station of Animal Genetic Resources and Nutrition in North China of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences of Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Junmin Zhang
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences of Chinese Academy of Agricultural Sciences, Beijing 100193, China; Scientific Observing and Experiment Station of Animal Genetic Resources and Nutrition in North China of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences of Chinese Academy of Agricultural Sciences, Beijing 100193, China.
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Roda G, Faggiani F, Bolchi C, Pallavicini M, Dei Cas M. Ten Years of Fentanyl-like Drugs: a Technical-analytical Review. ANAL SCI 2019; 35:479-491. [PMID: 30686797 DOI: 10.2116/analsci.18r004] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Synthetic opioids, such as fentanyl and its analogues, are a new public health warning. Clandestine laboratories produce drug analogues at a faster rate than these compounds can be controlled or scheduled by drug agencies. Detection requires specific testing and clinicians may be confronted with a sequence of severe issues concerning the diagnosis and management of these contemporary opioid overdoses. This paper deals with methods for biological sample treatment, as well as the methodologies of analysis that have been reported, in the last decade, in the field of fentanyl-like compounds. From this analysis, it emerges that the gold standard for the identification and quantification of 4-anilinopiperidines is LC-MS/MS, coupled with liquid-liquid or solid-phase extraction. In the end, the return to the scene of illicit fentanyls can be considered as a critical problem that can be tackled only with a global multidisciplinary approach.
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Affiliation(s)
- Gabriella Roda
- Department of Pharmaceutical Sciences, University of Milan
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