中美火箭残骸碰撞事件引发的法律责任问题思考

随着人类探索和利用外层空间的迅速发展,外空环境中的空间碎片急剧增加,发生空间物体损害责任事故的可能性随之日益增大。中美火箭残骸碰撞事件引发了作者对《空间物体造成损害的国际责任公约》能否有效应对当前责任事故的思考。基于空间开发新形势的需要,有必要对该公约进行修改和完善。     

谈中国关于空间碎片的立法不足

空间碎片现在已经成为外太空的主要污染源,各国航天事业需要共同攻破的课题。鉴于空间事故的屡次发生,对于空间碎片的探讨已提上日程。通过对中国参加的相关国际条约和中国国内空间的立法研究,发现国际条约中并没有具体的界定空间碎片的概念,更没有具体的条款来规范空间碎片,而国内关于空间的立法里亦没有提及到空间碎片。为了更好的发展我国航天事业,应该进一步完善我国国内空间立法,使航天事业的发展有法可依,有法可循。     

Extraction, derivatization, and analysis of vegetable oils from fire debris

Vegetable oils have the ability to spontaneously heat under certain conditions, which may lead to spontaneous ignition. While the oils are not often encountered in forensic casework, they may be suspected in some fire cases. As these oils are not effectively analyzed using traditional fire debris analysis methods, a protocol must be established for extracting vegetable oils from fire debris. In this study, a protocol was developed for the extraction, derivatization, and analysis of vegetable oils from fire debris. Three derivatization methods were compared to establish an optimal derivatization procedure to convert the fatty acids found in vegetable oils to the fatty acid methyl esters (FAMEs) used in analysis. Three different gas chromatograph columns and programs were examined to determine which was best suited for the separation and analysis of FAMEs. The procedure was tested and refined using a variety of neat and burned vegetable oils, in addition to extractions from oils burned on commonly encountered fire debris materials. The findings of this research will serve as a starting point for further understanding and research of vegetable oils in fire debris.     

Extraction of alternative fuels from fire debris samples*

Alternative fuels, specifically biodiesel, biodiesel blends, and E85 fuel, have been gaining a market share over the past few years. With the emergence of these fuels, fire debris analysts should be able to recognize their characteristics since these fuels may be encountered in casework. In this study, pure biodiesel (B100) and a 20% blend of pure biodiesel with petroleum diesel (B20) are examined as liquids and are extracted from debris samples using both passive headspace concentration and solvent extraction. Typical fire debris instrumental conditions are used to analyze these samples. Components of B100 and B20 may be observed in debris samples extracted using the passive headspace concentration method, but the chromatographic patterns are different from the pure liquid samples. When solvent extraction is used as a secondary extraction method on debris samples, the resulting patterns are consistent with the pure liquids of B100 and B20. E85 fuel, a blend of 85% ethanol and 15% gasoline, can be extracted using a typical fire debris extraction technique but requires slight modifications to typical fire debris instrumental conditions. E85 is shown at various stages of evaporation to demonstrate the resiliency of the ethanol. Additionally, samples of E85 were placed on carpet, burned and extinguished to demonstrate the effects of the suppression medium on the retention of ethanol.     

Effect of Gas Chromatography Temperature Program on the Association and Discrimination of Diesel Samples*†

Abstract: Five diesel samples were analyzed by gas chromatography–mass spectrometry (GC‐MS) using six GC temperature programs, aiming to investigate the effect of temperature program on association and discrimination of the samples. Temperature programs varied by ramp rate and incorporated one‐ or two‐step temperature ramps. Pearson product moment correlation coefficients and principal components analysis were used to evaluate differences in discrimination among the diesel samples afforded by each temperature program, based on the total ion chromatogram (TIC) and selected extracted ion profiles (EIPs). Association of diesel replicates and discrimination among samples based on the TIC and aromatic EIP were similar for all temperature programs based on scores plots. The alkane EIP was not useful in discriminating samples regardless of temperature program, because of similar alkane content of the diesel samples. The association and discrimination of diesel samples was largely unaffected by temperature programs that incorporated one‐ or two‐step temperature ramps.     

A new peptidase isozyme which may assist in the identification of vaginal debris

A characteristic peptidase has been identified in vaginal swab extracts. This enzyme, which has been termed vaginal peptidase, can be identified by its high anodal electrophoretic mobility in starch gel at pH 7.4 and its ability to hydrolyse the dipeptide substrate L-valyl-L-leucine. Vaginal peptidase was not detected in any of the body fluids or excretions commonly encountered in forensic stain analysis, other than vaginal debris. The use of this enzyme as a biochemical marker for the identification of vaginal debris in dried stains is discussed.     

An Evaluation of Standardized Software for Processing GC/MS Data from Different Vendors' Instruments in a Forensic Laboratory

Forensic science laboratories perform analyses on a variety of materials using gas chromatography/mass spectrometry (GC/MS). Instruments from different vendors may be used, requiring analysts to be proficient in the use of multiple proprietary software packages for collecting and processing data. There is no standardized GC/MS software available that can acquire data from different vendors' instruments. However, there are third‐party processing software products that can import data files in different formats. The Centre of Forensic Sciences compared the data processing performance of one such product, ACD/MS Manager Suite, with three instrument vendors' software used for casework analysis. This product was tested for its compatibility with the existing software, its capability to load and present data, and to initiate searches of commercial libraries. The study shows that the MS Manager module provides a means for the forensic analyst to view, process, and report on data from different sources in one software package.     

Progress Toward the Determination of Correct Classification Rates in Fire Debris Analysis II: Utilizing Soft Independent Modeling of Class Analogy (SIMCA)

A multistep classification scheme was used to detect and classify ignitable liquid residues in fire debris into the classes defined by the ASTM E1618‐10 standard method. The total ion spectra (TIS) of the samples were classified by soft independent modeling of class analogy (SIMCA) with cross‐validation and tested on fire debris. For detection of ignitable liquid residue, the true‐positive rate was 94.2% for cross‐validation and 79.1% for fire debris, with false‐positive rates of 5.1% and 8.9%, respectively. Evaluation of SIMCA classifications for fire debris relative to a reviewer's examination led to an increase in the true‐positive rate to 95.1%; however, the false‐positive rate also increased to 15.0%. The correct classification rates for assigning ignitable liquid residues into ASTM E1618‐10 classes were generally in the range of 80–90%, with the exception of gasoline samples, which were incorrectly classified as aromatic solvents following evaporative weathering in fire debris.     

Association of Ignitable Liquid Residues to Neat Ignitable Liquids in the Presence of Matrix Interferences Using Chemometric Procedures*,†

Abstract: In fire debris analysis, weathering of ignitable liquids and matrix interferences can make the identification of ignitable liquid residues (ILRs) difficult. An objective method was developed to associate ILRs with the corresponding neat liquid with discrimination from matrix interferences using principal components analysis (PCA) and Pearson product moment correlation (PPMC) coefficients. Six ignitable liquids (gasoline, diesel, ultra pure paraffin lamp oil, adhesive remover, torch fuel, paint thinner) were spiked onto carpet, which was burned, then extracted using passive headspace extraction, and analyzed by gas chromatography‐mass spectrometry. Both light and heavy burn conditions were investigated. In the PCA scores plot, ignitable liquids were discriminated based on alkane and aromatic content. All ILRs were successfully associated with the corresponding neat liquid using both PCA and PPMC coefficients, regardless of the extent of burning. The method developed in this research may make the association of ILRs with corresponding neat liquids more objective.