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Yu K, Wu H, Xiong H, Wang G, Wei X, Liang X, Chen R, Zhang Y, Zhang K, Wang Z. Ante- and Post-Mortem Fracture Identification Protocol Based on Low- and High-Level Fusion Using Fourier Transform Infrared Spectroscopy and Raman Spectroscopy Association. APPLIED SPECTROSCOPY 2024; 78:605-615. [PMID: 38404185 DOI: 10.1177/00037028241231994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
In this study, the application of low-level fusion (LLF) and high-level fusion (HLF) strategies using a combination of Fourier transform infrared spectroscopy (FT-IR) and Raman spectroscopy in the identification of antemortem and postmortem fracture at different postmortem intervals (PMIs) was investigated. On a technical level, the same hard tissue sample can be detected using a mix of FT-IR and Raman techniques. At the method level, two cutting-edge chemometrics approaches (LLF and HLF) combining FT-IR and Raman spectroscopic data are explored. The models were ranked in accordance with their parametric quality as follows: HLF and LLF + HLF models > LLF single model > Raman single model > FT-IR single model. The LLF model performed marginally better than the Raman model, however, when compared to other models, the HLF model performed considerably better. The HLF model achieved the best performance, with both cross-validation accuracy and test data set accuracy of 0.88. The importance of the feature wavelengths in the model construction process was subsequently evaluated by intersection fusion, and it was found that the absorbance bands of amide I, PO43- ν1 ν3, and CH2 in FT-IR and phenylalanine, CO32- ν1- PO43- ν3, and amide III in Raman have outstanding contributions to the construction of antemortem and postmortem fractures identification models. Overall, the combination of FT-IR and Raman with the HLF strategy is a novel and promising approach for developing antemortem and postmortem fracture identification models at different PMIs.
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Affiliation(s)
- Kai Yu
- Department of Forensic Pathology, College of Forensic Medicine, Xi'an Jiaotong University, Xi'an, China
| | - Hao Wu
- Department of Forensic Pathology, College of Forensic Medicine, Xi'an Jiaotong University, Xi'an, China
| | - Hongli Xiong
- Department of Forensic Medicine, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing, China
| | - Gongji Wang
- Department of Forensic Pathology, College of Forensic Medicine, Xi'an Jiaotong University, Xi'an, China
| | - Xin Wei
- Department of Forensic Pathology, College of Forensic Medicine, Xi'an Jiaotong University, Xi'an, China
| | - Xinggong Liang
- Department of Forensic Pathology, College of Forensic Medicine, Xi'an Jiaotong University, Xi'an, China
| | - Run Chen
- Department of Forensic Pathology, College of Forensic Medicine, Xi'an Jiaotong University, Xi'an, China
| | | | - Kai Zhang
- Department of Forensic Pathology, College of Forensic Medicine, Xi'an Jiaotong University, Xi'an, China
| | - Zhenyuan Wang
- Department of Forensic Pathology, College of Forensic Medicine, Xi'an Jiaotong University, Xi'an, China
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Tseng LH, Liang PC, Chiu TC, Hsieh MM. Ultrasound and surfactant-assisted dispersive liquid-liquid microextraction prior to poly(ethylene oxide)-mediated stacking in CE for highly sensitive determination of barbiturates in human fluids. J Sep Sci 2023; 46:e2300557. [PMID: 37803927 DOI: 10.1002/jssc.202300557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 09/21/2023] [Accepted: 09/23/2023] [Indexed: 10/08/2023]
Abstract
This study developed a facile, highly sensitive technique for extracting and quantifying barbiturates in serum samples. This method combined ultrasound and surfactant-assisted dispersive liquid-liquid microextraction with poly(ethylene oxide)-mediated stacking in capillary electrophoresis. Factors influencing the extraction and stacking performance, such as the type and volume of extraction solvents, the type and concentration of surfactant, extraction time, salt additives, sample matrix, solution pH, and composition of the background electrolyte, were carefully studied and optimized to achieve the optimal detection sensitivity. Under the optimized extraction (injecting 140 μL C2 H4 Cl2 into 1 mL of sample with pH 4 (5 mM sodium phosphate containing 0.05 mM Tween 20 and sonication for 1 min) and separation conditions (150 mM tris(hydroxymethyl)aminomethane-borate with pH 8.5 containing 0.5% (m/v) poly(ethylene oxide)), the limits of detection (signal-to-noise ratio = 3) of five barbiturates ranged from 0.20 to 0.33 ng/mL, and the calculated sensitivity improvement ranged from 868- to 1700-fold. The experimental results revealed excellent linearity (R2 > 0.99), with relative standard deviations of 2.1%-3.4% for the migration time and 4.3%-5.7% for the peak area. The recoveries of the spiked serum samples were 97.1% -110.3%. Our proposed approach offers a rapid and practical method for quantifying barbiturates in biological fluids.
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Affiliation(s)
- Li Hsin Tseng
- Department of Chemistry, National Kaohsiung Normal University, Kaohsiung, Taiwan
| | - Pei-Chi Liang
- Department of Chemistry, National Kaohsiung Normal University, Kaohsiung, Taiwan
| | - Tai-Chia Chiu
- Department of Applied Science, National Taitung University, Taitung, Taiwan
| | - Ming-Mu Hsieh
- Department of Chemistry, National Kaohsiung Normal University, Kaohsiung, Taiwan
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Fathi HA, Yousry C, Elsabahy M, El-Badry M, El Gazayerly ON. Effective loading of incompatible drugs into nanosized vesicles: a strategy to allow concurrent administration of furosemide and midazolam in simulated clinical settings. Int J Pharm 2023; 636:122852. [PMID: 36934884 DOI: 10.1016/j.ijpharm.2023.122852] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 01/25/2023] [Accepted: 03/12/2023] [Indexed: 03/19/2023]
Abstract
The current study aims to assess the use of nanocarriers to limit drug incompatibilities in clinical settings, and thus eliminating serious clinical consequences (e.g., catheter obstruction and embolism), and enhancing in vivo bioavailability and efficacy. As a proof-of-concept, the impact of loading well-documented physically incompatible drugs (i.e., furosemide and midazolam) into nanosized vesicles on in vitro stability and in vivo bioavailability of the two drugs was investigated. Furosemide and midazolam were loaded into nanosized spherical vesicles at high entrapment efficiency (ca. 62-69%). The drug-loaded vesicles demonstrated a sustained drug release patterns, high physical stability and negligible hemolytic activity. Physical incompatibility was assessed by exploiting microscopic technique coupled with image processing and analysis, dynamic light scattering and laser Doppler anemometry. Incorporation of drugs separately inside the nanosized vesicles dramatically decreased size and number of the precipitated particles. In vivo, the niosomal drug mixture demonstrated a significant improvement in pharmacokinetic profiles of furosemide and midazolam compared to the mixed free drug solutions, as evidenced by their longer circulation half-lives and higher area under the plasma-concentration time curves of both drugs. Nanocarriers could provide an auspicious strategy for circumventing drug incompatibilities, thus reducing adverse reactions, hospitalization period and improving therapeutic outcomes.
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Affiliation(s)
- Heba A Fathi
- Assiut International Center of Nanomedicine, Al-Rajhy Liver Hospital, Assiut University, Assiut 71515, Egypt
| | - Carol Yousry
- Department of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, Cairo University, Cairo 11562, Egypt
| | - Mahmoud Elsabahy
- School of Biotechnology and BUC Research Center, Badr University in Cairo, Badr City, Cairo 11829, Egypt; Department of Chemistry, Texas A&M University, College Station, TX 77842, USA; Department of Pharmaceutics, Faculty of Pharmacy, Assiut University, Assiut 71515, Egypt.
| | - Mahmoud El-Badry
- Assiut International Center of Nanomedicine, Al-Rajhy Liver Hospital, Assiut University, Assiut 71515, Egypt; Department of Pharmaceutics, Faculty of Pharmacy, Assiut University, Assiut 71515, Egypt
| | - Omaima N El Gazayerly
- Department of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, Cairo University, Cairo 11562, Egypt
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Du H. Forensic Characterization of Tires by Attenuated Total Reflectance–Fourier Transform Infrared (ATR–FTIR) Spectroscopy and Machine Learning Algorithms. ANAL LETT 2022. [DOI: 10.1080/00032719.2022.2138422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
- Haojun Du
- Department of Traffic Management, Hunan Police College, Changsha, Hunan, China
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Zhu M, He M, Zhu H. Forensic Identification of 3,4-Methylendioxy-N-methylamphetamine (MDMA), Ketamine, and Benzodiazepine by Handheld Infrared Spectroscopy and Chemometrics. ANAL LETT 2022. [DOI: 10.1080/00032719.2022.2126852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
- Mi Zhu
- School of Forensic Science, Hunan Police Academy, Changsha, China
| | - MaoYun He
- Hunan Legal Forensic Center, Changsha, China
| | - Hongjian Zhu
- Yuelu Branch of Changsha Public Security Bureau of Hunan Province, Changsha, China
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Chen J, Yang Y, Deng Y, Liu Z, Xie J, Shen S, Yuan H, Jiang Y. Aroma quality evaluation of Dianhong black tea infusions by the combination of rapid gas phase electronic nose and multivariate statistical analysis. Lebensm Wiss Technol 2022. [DOI: 10.1016/j.lwt.2021.112496] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Non-destructive characterization and discrimination of vehicle bumpers fragments in forensic science using molecular spectral fusion analysis and chemometrics. Microchem J 2021. [DOI: 10.1016/j.microc.2021.106299] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
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