Remote Sensing
·
2014
·Vol. 6
·期 12
·12723-12751
·
IF 2.623
Alice B. Kelly,Nina Maggi Kelly
This paper explores the existing literature on the active detection of crimes using remote sensing technologies. The paper reviews sixty-one studies that use remote sensing to actively detect crime. Considering the serious consequences of misidentifying crimes or sites of crimes (e.g., opening that place and its residents up to potentially needless intrusion, intimidation, surveillance or violence), the authors were surprised to find a lack of rigorous validation of the remote sensing methods utilized in these studies. In some cases, validation was not mentioned, while in others, validation was severely hampered by security issues, rough terrain and weather conditions. The paper also considers the potential hazards of the use of Google Earth to identify crimes and criminals. The paper concludes by considering alternate, “second order” validation techniques that could add vital context and understanding to remotely sensed images in a law enforcement context. With this discussion, the authors seek to initiate a discussion on other potential “second order” validation techniques, as well as on the exponential growth of surveillance in our everyday lives.Keywords:remote sensing;crime;validation;accuracy assessment;Google Earth
研究领域:
地理学
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刑事科学技术
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遥感技术
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DOI
高影响因子
BIOLOGICAL TRACE ELEMENT RESEARCH
·
2024
·
IF 3.4
Su Yue,Li Ming,Xie Honglei,Hou Xin,Zhao Meng,Li Jia,Pan Haowen,Zhang Zexu,Yue Zongyu,Che Wenjing,Liu Lanchun,Cao Jiasen,Liu Peng
Saliva iodine is a useful biochemical marker for evaluating iodine status and controlling iodine-related diseases. This study aims to establish and validate a simple, reliable, and low-cost Sandell-Kolthoff (S-K) method for the determination of iodine in saliva. The method was established by considering the digestion solution type, concentration, dosage, digestion time and temperature, the volume of saliva samples, glass tube size, dosage of arsenious acid solution and ammonium ceric sulfate solution, and warm bath time. Then, the effectiveness of the method was examined by the linearity of the standard curve, detection limit, precision, and accuracy. The 1.5 mL 1 Mol/L ammonium persulfate solution at 100 °C for 90 min, the 200 μL saliva sample, glass tubes of 15 mm × 120 mm, 2.5 mL arsenious acid solution, 0.3 mL ammonium ceric sulfate solution, and 15 min for warm bath was selected to determine saliva iodine. In terms of validation of the S-K method, the linearity method has the linear range of the standard curve from 0 to 300 μg/L and the coefficient of determination ≥ 0.999; the detection limit, when the volume of saliva samples was 0.2 mL, was 4.6 μg/L; for precision, the relative standard deviation was from 0.3 to 2.8%; and for accuracy, the total recovery rate ranged from 92.8 to 107.0%. This S-K method is easy to operate, has good precision and accuracy, and can be used as a method to determine saliva iodine. It has great potential practical value in disease prevention, clinical auxiliary diagnosis, and experimental research.
研究领域:
医学检验
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营养学
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产品关联
DOI
PubMed
高影响因子
Journal of the Mechanical Behavior of Biomedical Materials
·
2022
·
IF 4.042
Ziyang Hu,Xiao Pan,Yanni Hu,Shi Xu,Antian Gao,Dantong Cao,Zitong Lin
Objectives To explore the feasibility of using sodium iodide (NaI)+dimethyl sulfoxide (DMSO)+ethyl alcohol+ethyl acetate as a cone-beam CT (CBCT) contrast agent in the diagnosis of vertical root fracture (VRF). Methods 21 endodontically treated VRF teeth of 21 patients were collected in this study. All these 21 teeth were confirmed subtle fracture lines under transillumination, the number and position of fracture lines were recorded. All these patients had CBCT routine scanning (RS1) before extraction. After extraction, the teeth was performed micro-CT scanning and 3 in vitro CBCT scanning: CBCT routine scanning in vitro (RS2), CBCT enhanced scanning using meglumine diatrizoate (MD) as contrast agent(ES1); and CBCT enhanced scanning using NaI+DMSO+ethyl alcohol+ethyl acetate as contrast agent(ES2). The number of fracture lines was evaluated on all the 5 scanning modes and the accuracy of diagnosis was calculated. Results In all, there were 43 fracture lines on the 21 teeth. The accuracy of detection of fracture lines of CBCT RS1, RS2, ES1, ES2 and micro-CT was 0%, 20.9% (9/43), 11.6% (5/43), 93% (40/43) and 95.3% (41/43) respectively. Significant differences were found between ES2 vs. RS2, ES2 vs. ES1 ( p < 0.01); however, no significant difference was found between ES2 vs. micro-CT ( p > 0.05). Conclusion CBCT enhanced scanning using NaI+DMSO+ethyl alcohol+ethyl acetate as contrast agent could be a prospective technique in the diagnosis of VRF.
研究领域:
牙医学
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影像学
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产品关联
DOI
PubMed
高影响因子
TALANTA
·
2025
·
IF 6.1
Xian Li,Xinxin Wen,Zewei Luo,Xuejun Wang,Yilin Zhang,Jing Wei,Yonghui Tian,Rui Ling,Yixiang Duan
Breast cancer (BC) is the primary cause of cancer-related deaths in women. Currently, the discovery of biomarkers primarily relies on single platform, which might overlook other potential biomarkers and lead to inaccurate diagnoses. This study aims to: (1) expand the detection range of biomarkers through multiple analytical techniques, thereby improving the accuracy of BC diagnosis, and (2) analyze the metabolic pathways of the biomarkers to explore the metabolic mechanisms underlying BC. Urine samples from BC patients and healthy controls were analyzed using two techniques: Ultra-high performance liquid chromatography combined with Quadrupole-Exactive-Orbitrap mass spectrometry (UPLC-Q-Exactive Orbitrap-MS), and headspace solid-phase microextraction combined with gas chromatography-high resolution mass spectrometry (HS-SPME/GC-HRMS). Data from each platform was analyzed independently using both univariate and multivariate statistical approaches to identify candidate biomarkers. Subsequently, a mid-level data fusion approach was applied to integrate the candidate biomarkers identified by each platform. The fused data were used to construct orthogonal partial least squares discriminant analysis (OPLS-DA) models and random forest (RF) models, which were then compared against models based on individual platform. The fused RF and OPLS-DA models demonstrated enhanced diagnostic accuracy compared to the individual model. Integrating GC-HRMS and UPLC-Q-Exactive Orbitrap-MS achieved the best performance, with an AUC value of 0.967, sensitivity of 86.37 %, and specificity of 89.19 %. Metabolic pathway analysis revealed that 10 metabolic pathways exert an impact on BC. Four pathways—pyruvate metabolism, sulfur metabolism, taurine and hypotaurine metabolism, and tyrosine metabolism—were found to be associated with BC in both metabolomics and volatolomics studies, indicating that these pathways play pivotal roles in BC. This study confirmed the potential of merging multi-platforms to enhance the accuracy of BC diagnosis, offering new avenues for understanding the metabolic mechanisms of BC.
研究领域:
医学
·
代谢组学
·
生物信息学
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产品关联
DOI
PubMed
高影响因子
Food Analytical Methods
·
2016
·Vol. 10
·期 5
·1592-1596
·
IF 2.167
Xie Wei-Qi,Chai Xin-Sheng
This paper reports on a practical headspace gas chromatographic method (HS-GC) for rapid determination of degree of substitution (DS) in sodium carboxymethyl starch (Na-CMS). After Na-CMS was acidified by hydrochloric acid (HCl) solution, the supernatant of the solution was added to a bicarbonate solution in a closed headspace vial. Thus, the remaining HCl reacts with bicarbonate to form carbon dioxide gas and thus was measured by HS-GC. The result showed that the Na-CMS was completely converted to H-CMS within 45 min at a room temperature when a small sample size (= 0.5 g) was used by acidification pretreatment. The present method has a good measurement precision (the relative standard deviation <3.25%) and accuracy (the relative difference < 5.46%, compared to the data measured by the reference method) on the determination of DS in Na-CMS. The present method is simple, practical, and suitable for the use in the carboxymethyl starch related research and applications.
研究领域:
分析化学
·
药学
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DOI
高影响因子
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
·
2024
·
IF 3.1
Chu Cheng,Qingzhou Cheng,Wei Zhou,Yulong Chen,Pengfeng Xiao
We proposed a single-color fluorogenic DNA decoding sequencing method designed to improve sequencing accuracy, increase read length and throughput, as well as decrease scanning time. This method involves the incorporation of a mixture of four types of 3’-O-modified nucleotide reversible terminators into each reaction. Among them, two nucleotides are labeled with the same fluorophore, while the remaining two are unlabeled. Only one nucleotide can be extended in each reaction, and an encoding that partially defines base composition can be obtained. Through cyclic interrogation of a template twice with different nucleotide combinations, two sets of encodings are sequentially obtained, enabling the determination of the sequence. We demonstrate the feasibility of this method using established sequencing chemistry, achieving a cycle efficiency of approximately 99.5 %. Notably, this strategy exhibits remarkable efficacy in the detection and correction of sequencing errors, achieving a theoretical error rate of 0.00016 % at a sequencing depth of ×2, which is lower than Sanger sequencing. This method is theoretically compatible with the existing sequencing-by-synthesis (SBS) platforms, and the instrument is simpler, which may facilitate further reductions in sequencing costs, thereby broadening its applications in biology and medicine. Moreover, we demonstrate the capability to detect known mutation sites using information from only a single sequencing run. We validate this approach by accurately identifying a mutation site in the human mitochondrial DNA.
研究领域:
分子生物学
·
遗传学
·
医学
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产品关联
DOI
PubMed
高影响因子
JOURNAL OF CLINICAL LABORATORY ANALYSIS
·
2017
·Vol. 32
·期 3
·e22311
·
IF 1.521
Jingkun Wang,Yizhen Fang,Peihua Li,Huayue Lin,Hongwei Jin,Lei Gao,Shengxiang Ge,Zhong-Ying Zhang
Background To evaluate the performance of a chemiluminescence detection kit for cardiac troponin T (cTnT). Methods According to the “Guiding principles on performance analysis of diagnostic reagents in vitro” and the Clinical and Laboratory Standards Institute (CLSI) Guidelines, we assessed the detection limit, linear range, reportable range, accuracy, precision, cross reactivity, interference factors, and matrix effect of the kit, and compared these parameters with that of the commercial electrochemiluminescence detection kit for cTnT (Roche). Results The minimum detection limit of the kit was 0.01 ng/mL. The linear range was 0.01 ng/mL-25 ng/mL. The reportable range was from 0.01 ng/mL to 100 ng/mL. Precision within the batch was 2.9%-6.4%, and precision between batches was 6.0%; the accuracy was good and the recovery rate reached 96.2%. The cross-reaction test demonstrated that there was no reactivity between cTnT and a variety of troponins. Test results deviated by less than ±10% in the presence of hemoglobin ≤1000 μg/mL, bilirubin ≤250 μg/mL, triglycerides ≤11.25 mg/mL, and rheumatoid factor ≤206 U/mL, suggesting that kit results were not significantly interfered with these factors. Results from the matrix-effect assessment revealed absence of a matrix effect in the tested serum samples. Correlation study revealed that the performance of the kit was very consistent with that of the Roche electrochemiluminescence detection kit (Kappa = 0.900, P < .001) with a high correlation ( r = .903, P < .001) and a total matching rate of 95.00%. Conclusion The performance of the evaluated chemiluminescence immunoquantitation kit for cTnT detection was acceptable in all tested parameters, fulfilling requirements for clinical applications.
研究领域:
医学检验
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生物化学
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产品关联
DOI
PubMed
高影响因子
FOOD CHEMISTRY
·
2023
·
IF 8.8
Kam-Chun Chan,Wei-Hao Zhang,Yui-Man Chan,Hiu-Lam Li,Jing Fang,Han-Yan Luo,Jun Xu
Sulfur treatment for the pesticidal and antibacterial processing of food products has been criticized since it impairs the quality of treated products. The inspection of sulfur-treated products is thus required to achieve the regulation of sulfur treatment. Sulfite assay is currently available for the inspection, but it bears the disadvantages of inaccurate results and complex experimental procedures. Here we report a new chemical marker, namely tryptophan sulfonate, that can be used for the accurate and efficient inspection of sulfur-treated foods. First, the marker was discovered in sulfur-fumigated ginger, yam, and ginseng by untargeted metabolomics. The marker identity was then elucidated using chromatographic separation, nuclear magnetic resonance analysis and chemical synthesis. Finally, to demonstrate its applicability in the inspection, a tryptophan sulfonate assay was developed to test 50 commercial food samples, and the results indicated that it performed better than the sulfite assay in terms of both accuracy and efficiency.
研究领域:
食品科学
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分析化学
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生物化学
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产品关联
DOI
PubMed
高影响因子
JOURNAL OF LIPID RESEARCH
·
2020
·Vol. 61
·期 4
·580-586
·
IF 4.483
Teng-Fei Yuan (袁;腾;飞,Juan Le (乐;娟,Shao-Ting Wang (王;少;亭,Yan Li (李;艳
Analyzing global steroid metabolism in humans can shed light on the etiologies of steroid-related diseases. However, existing methods require large amounts of serum and lack the evaluation of accuracy. Here, we developed an LC/MS/MS method for the simultaneous quantification of 12 steroid hormones: testosterone, pregnenolone, progesterone, androstenedione, corticosterone, 11-deoxycortisol, cortisol, 17-hydroxypregnenolone, 17-hydroxyprogesterone, dehydroepiandrosterone, estriol, and estradiol. Steroids and spiked internal standards in 100 μl serum were extracted by protein precipitation and liquid-liquid extraction. The organic phase was dried by evaporation, and isonicotinoyl chloride was added for steroid derivatization, followed by evaporation under nitrogen and redissolution in 50% methanol. Chromatographic separation was performed on a reverse-phase PFP column, and analytes were detected on a triple quadrupole mass spectrometer with ESI. The lower limits of quantification ranged from 0.005 ng/ml for estradiol to 1 ng/ml for cortisol. Apparent recoveries of steroids at high, medium, and low concentrations in quality control samples were between 86.4% and 115.0%. There were limited biases (−10.7% to 10.5%) between the measured values and the authentic values, indicating that the method has excellent reliability. An analysis of the steroid metabolome in pregnant women highlighted the applicability of the method in clinical serum samples. We conclude that the LC/MS/MS method reported here enables steroid metabolome analysis with high accuracy and reduced serum consumption, indicating that it may be a useful tool in both clinical and scientific laboratory research.
研究领域:
临床医学
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分析化学
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产品关联
DOI
PubMed
高影响因子
MEASUREMENT
·
2025
·
IF 5.6
Jintao Liang,Zhenshun Wei,Qing Huang,Jianlu Liang,XiuChuan Zhao,Zhide Zhou,Guiyin Li
Tea polyphenols are a general term for the total phenolic compounds in tea. Tea polyphenols play a crucial role in the quality of tea. Rapid detection of tea polyphenols is essential for tea harvesting and breeding. In this paper, a rapid method for the detection of tea polyphenols is presented based on diazotization coupling (DC) reaction and flow batch analysis system (FBAS). The tea polyphenols detection based on DC reaction can avoid interference from non-phenolic substances and improve detection accuracy. Meanwhile, FBAS for sample injection can shorten the analysis time, reduce the reagent consumption and improve the sensitivity. Experimental results demonstrate that absorbance values exhibit linearity with gallic acid concentrations in the range of 5 to 60 μg/mL, with a linear equation of y = 0.0279x + 0.0613 (R 2 = 0.9993) and a limit of detection (LOD) of 0.215 μg/mL (S/N=3). The method was applied to the detection of tea polyphenols in tea samples, with relative standard deviations (RSD) ranging from 0.326% to 0.659%. The DC-FBAS method has a high potential application with the requirements of portable, cost-effective, and highly precise on-site tea polyphenols detection.
研究领域:
食品科学
·
分析化学
✓ 已验证
产品关联
DOI
高影响因子
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
·
2024
·
IF 4.3
Yuhao Huang,Chen Chen,Chenjie Chang,Zhiyuan Cheng,Yang Liu,Xuehua Wang,Cheng Chen,Xiaoyi Lv
As artificial intelligence technology gains widespread adoption in biomedicine, the exploration of integrating biofluidic Raman spectroscopy for enhanced disease diagnosis opens up new prospects for the practical application of Raman spectroscopy in clinical settings. However, for systemic lupus erythematosus (SLE), origin Raman spectral data (ORS) have relatively weak signals, making it challenging to obtain ideal classification results. Although the surface enhancement technique can enhance the scattering signal of Raman spectroscopic data, the sensitivity of the SERS substrate to airborne impurities and the inhomogeneous distribution of hotspots degrade part of the signal. To fully utilize both kinds of data, this paper proposes a two-branch residual-attention network (DBRAN) fusion technique, which allows the ORS to complement the degraded portion and thus improve the model's classification accuracy. The features are extracted using the residual module, which retains the original features while extracting the deep features. At the same time, the study incorporates the attention module in both the upper and lower branches to handle the weight allocation of the two modal features more efficiently. The experimental results demonstrate that both the low-level fusion method and the intermediate-level fusion method can significantly improve the diagnostic accuracy of SLE disease classification compared with a single modality, in which the intermediate-level fusion of DBRAN achieves 100% classification accuracy, sensitivity, and specificity. The accuracy is improved by 10% and 7% compared with the ORS unimodal and the SERS unimodal modalities, respectively. The experiment, by fusing the multimodal spectral, realized rapid diagnosis of SLE disease by fusing multimodal spectral data, which provides a reference idea in the field of Raman spectroscopy and can be further promoted to clinical practical applications in the future.
研究领域:
生物医学工程
·
光谱学
·
人工智能在医学中的应用
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产品关联
DOI
PubMed
高影响因子
MICROCHEMICAL JOURNAL
·
2023
·
IF 4.8
Xiaoyan Li,Yang Qi,Changxu Zhao,Fei Wang,Yanlei Ding,Guangzheng Hou,Pengcheng Cao,Zhe Zhou,Qiqi Liu
Sensitivity and accuracy are the key performance metrics for evaluating immunochromatographic assay (ICA). In this study, we have developed a quantum dot nanobeads-based dual-channel fluorescent ICA (QBs-DICA) designed for the sensitive and accurate detection of both influenza A virus (IAV) and human adenovirus (ADV) antigens. Following systematic assay optimization, we achieved a remarkable improvement in sensitivity, with gains of up to two orders of magnitude at the best. To enhance signal accuracy for IAV and ADV testing, we implemented a temperature-controlled dual-channel detector during sample incubation and the chromatographic process, resulting in an approximate increase of 34.2% and 36.7%, respectively. The Limit of Detection (LOD) for IAV and ADV testing was robustly established at 165 copies/mL and 805 copies/mL, respectively. Furthermore, in the case of IAV-spiked and ADV-spiked samples, we achieved consistently high recoveries ranging from 94.5% to 104.8% and 94.7% to 106.4%, with impressively low coefficients of variation (CV) of below 7.16% and 6.25%, respectively. Our established QBs-DICA system has exhibited a remarkable enhancement in both sensitivity and accuracy, making it exceptionally well-suited for supporting the rapid advancement of clinical diagnosis and treatment strategies.
研究领域:
医学诊断
·
病毒学
·
纳米技术
✓ 已验证
产品关联
DOI
高影响因子
危险品化学品经营许可证（带存储）