Whole blood and semen identification using mid-infrared and Raman spectrum analysis for forensic applications

Zou, Y.; Pan, Xia; Yang, Feifei; Cao, Fangqi; Ma, Ke; Mi, Zhongliang; Huang, Xiaochun; Cai, Nengbin; Jiang, Bei; Zhao, Xuejun; Liu, Wenbin; Chen, Xianfeng

doi:10.1039/c5ay03337c

Cited by 33 publications

(18 citation statements)

References 30 publications

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“…Between ca. 700 and 1,800 cm −1 , spectra roughly match those reported for ancient, dried, and/or liquid human blood, [ 72–77 ] with main peaks at ca. 745, 1,000, 1,130, 1,240, 1,350, and 1,590 cm −1 (Figure 3c, Table 2).…”

Section: Resultssupporting

confidence: 68%

Raman spectroscopy in experimental rock art: Improving the study of ancient paintings

Ozán

Oriolo

Castro

et al. 2020

J Raman Spectroscopy

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The present work analyzes Raman spectra of red, white, and black experimental paintings manufactured according to archeological and ethnographical data from Patagonia (South America), in order to provide reference patterns to better understand ancient signatures of rock art. Methodological insights are also presented, evaluating pitfalls and advantages of Raman spectroscopy. For this purpose, different pigments (hematite, gypsum, charcoal) mixed with binders and additives (Lama guanicoe fat, blood, urine, saliva, gypsum) were combined. Results show that, despite its high‐spatial resolution, Raman analysis shows painting spectra often reflecting multicomponent signals at micrometer‐scale. Results also indicate that fat and blood show well‐defined spectra in paintings, whereas saliva and urine have negligible signatures, so a relatively high and low archeological preservation is expected, respectively. On the other hand, laser‐related thermoalteration processes of fat and blood binders are triggered by the presence of hematite. This thermoalteration promotes conspicuous signatures in fat and blood binders related to disordered CC bonds (ca. 1,330 and 1,566 cm−1), which are also found in charcoal. Therefore, disordered carbon in the Raman spectra of rock art may not necessarily imply the presence of charcoal‐bearing pigments but may also result from thermoalteration of organic materials. Evidence of blood migration through rock porosity is registered as well, with significant implications for rock art preservation, composition, and dating.

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Section: Resultssupporting

confidence: 68%

Raman spectroscopy in experimental rock art: Improving the study of ancient paintings

Ozán

Oriolo

Castro

et al. 2020

J Raman Spectroscopy

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“…The dominant contributions from such blood proteins correspond to the distinctive peaks in the average spectra of blood at 3285 cm −1 (Amide A), 1640 cm −1 (Amide I), 1532 cm −1 (Amide II) and 1240 cm −1 (Amide III). In addition, glucose represents the contribution in the spectral range of 1100-980 cm −1 , which shows substantial donor variance 8 , 9 , 24 , 28 . The average spectrum of saliva also shows characteristic peaks of proteins at 3279 cm −1 (Amide A), 1640 cm −1 (Amide I), 1537 cm −1 (Amide II) and 1239 cm −1 (Amide III) 30 – 32 .…”

Section: Resultsmentioning

confidence: 99%

“…The distinctive peak at 1056 cm −1 can be assigned to contributions from the sugar moieties of prostate specific antigen and fructose, which are abundant in human semen. The peak observed at 1393 cm −1 originates from the methyl groups of proteins and lipids 9 , 28 , 34 . Meanwhile, the average spectra of urine and sweat indicate little contribution from proteins.…”

Section: Resultsmentioning

confidence: 99%

Soft and Robust Identification of Body Fluid Using Fourier Transform Infrared Spectroscopy and Chemometric Strategies for Forensic Analysis

Takamura

Watanabe

Akutsu

et al. 2018

Sci Rep

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Body fluid (BF) identification is a critical part of a criminal investigation because of its ability to suggest how the crime was committed and to provide reliable origins of DNA. In contrast to current methods using serological and biochemical techniques, vibrational spectroscopic approaches provide alternative advantages for forensic BF identification, such as non-destructivity and versatility for various BF types and analytical interests. However, unexplored issues remain for its practical application to forensics; for example, a specific BF needs to be discriminated from all other suspicious materials as well as other BFs, and the method should be applicable even to aged BF samples. Herein, we describe an innovative modeling method for discriminating the ATR FT-IR spectra of various BFs, including peripheral blood, saliva, semen, urine and sweat, to meet the practical demands described above. Spectra from unexpected non-BF samples were efficiently excluded as outliers by adopting the Q-statistics technique. The robustness of the models against aged BFs was significantly improved by using the discrimination scheme of a dichotomous classification tree with hierarchical clustering. The present study advances the use of vibrational spectroscopy and a chemometric strategy for forensic BF identification.

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“…Lastly, based on the previous spectroscopic analysis of body fluids [55], and the earlier work by Roy et al [42], Kozicki et al [56], Khoshmanesh et al [41], putative bands possibly responsible for the spectral differences between Plasmodium -infected and Plasmodium -free specimen were examined. Biochemical compositions such as lipids, proteins, carbohydrate and nucleic acids were explored from the sensitivity of the candidate MIR bands.…”

Section: Methodsmentioning

confidence: 99%

Detection of malaria parasites in dried human blood spots using mid-infrared spectroscopy and logistic regression analysis

Mwanga

Minja

Mrimi

et al. 2019

Malar J

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Background Epidemiological surveys of malaria currently rely on microscopy, polymerase chain reaction assays (PCR) or rapid diagnostic test kits for Plasmodium infections (RDTs). This study investigated whether mid-infrared (MIR) spectroscopy coupled with supervised machine learning could constitute an alternative method for rapid malaria screening, directly from dried human blood spots. Methods Filter papers containing dried blood spots (DBS) were obtained from a cross-sectional malaria survey in 12 wards in southeastern Tanzania in 2018/19. The DBS were scanned using attenuated total reflection-Fourier Transform Infrared (ATR-FTIR) spectrometer to obtain high-resolution MIR spectra in the range 4000 cm−1 to 500 cm−1. The spectra were cleaned to compensate for atmospheric water vapour and CO2 interference bands and used to train different classification algorithms to distinguish between malaria-positive and malaria-negative DBS papers based on PCR test results as reference. The analysis considered 296 individuals, including 123 PCR-confirmed malaria positives and 173 negatives. Model training was done using 80% of the dataset, after which the best-fitting model was optimized by bootstrapping of 80/20 train/test-stratified splits. The trained models were evaluated by predicting Plasmodium falciparum positivity in the 20% validation set of DBS. Results Logistic regression was the best-performing model. Considering PCR as reference, the models attained overall accuracies of 92% for predicting P. falciparum infections (specificity = 91.7%; sensitivity = 92.8%) and 85% for predicting mixed infections of P. falciparum and Plasmodium ovale (specificity = 85%, sensitivity = 85%) in the field-collected specimen. Conclusion These results demonstrate that mid-infrared spectroscopy coupled with supervised machine learning (MIR-ML) could be used to screen for malaria parasites in human DBS. The approach could have potential for rapid and high-throughput screening of Plasmodium in both non-clinical settings (e.g., field surveys) and clinical settings (diagnosis to aid case management). However, before the approach can be used, we need additional field validation in other study sites with different parasite populations, and in-depth evaluation of the biological basis of the MIR signals. Improving the classification algorithms, and model training on larger datasets could also improve specificity and sensitivity. The MIR-ML spectroscopy system is physically robust, low-cost, and requires minimum maintenance.

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Whole blood and semen identification using mid-infrared and Raman spectrum analysis for forensic applications

Abstract: The identification of body fluids is important in forensic science.

Cited by 33 publications

References 30 publications

Raman spectroscopy in experimental rock art: Improving the study of ancient paintings

Raman spectroscopy in experimental rock art: Improving the study of ancient paintings

Soft and Robust Identification of Body Fluid Using Fourier Transform Infrared Spectroscopy and Chemometric Strategies for Forensic Analysis

Detection of malaria parasites in dried human blood spots using mid-infrared spectroscopy and logistic regression analysis

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