Species identification key of Korean mammal hair

Sex and blood group determination from hair using ATR-FTIR spectroscopy and chemometrics

Examination of hair with its intact root is commonly used for DNA profiling of the donor. However, its use for gathering other types of information is less explored. Using attenuated total reflectance-Fourier transform infrared spectroscopy, the present study aims to explore other relevant aspects in a non-destructive manner for forensics. Determining the sex and blood group of human hair samples were the major goals of the study. Sex determination was accomplished by analyzing the differential vibrational intensities and stretching of various chemical groups associated with hair and its proteins. Statistical inference of spectral data was performed using chemometric algorithms such as PCA and PLS-DA. The PLS-DA model determined sex with 100% accuracy and blood grouping with an average accuracy of 95%. The present study is the first of its kind to determine sex and blood grouping from human scalp hair shafts, as far as the author knows. By acting as a preliminary screening test, this study could have significant implications for forensic analysis of crime scene samples. Human and synthetic hair were used in validation studies, resulting in 100% accuracy, specificity, and sensitivity, with 0% false positives and false negatives. The technique ATR FTIR spectroscopy could complement the currently used methods of hair analysis such as physical examination and mitochondrial or genomic DNA analysis.

Potential Tick Defense Associated with Skin and Hair Characteristics in Korean Water Deer (Hydropotes inermis argyropus)

The Korean water deer (WD), a predominant wildlife species in South Korea, is listed as vulnerable by the IUCN Red List. Despite belonging to the same family, Cervidae, WD show significantly fewer adult ixodid tick infestations compared to roe deer (RD). Ticks, which cannot fly, engage in questing behavior in natural environments to latch onto hosts. They detect signals like body temperature and host skin chemicals to navigate through the hair coat to the preferred epidermis. In light of this, we performed an extensive comparative study of the skin tissue and hair characteristics of both deer species, focusing on elements contributing to the reduced tick bite incidence in WD. Remarkably, WD exhibited more prominent blood vessels, sebaceous glands, and sweat glands, which are crucial for skin barrier functions (p < 0.005). Moreover, WD had irregular scale patterns on their hair cuticles and possessed hair that was significantly stiffer and 2.83 times thicker than that of RD (p < 0.001). These characteristics potentially impede ticks from reaching the epidermis hair in WD and RD in the context of tick bite prevention. Further investigations in this area could enhance our understanding of tick-host dynamics and contribute to developing preventive measures against tick-borne diseases in other deer species.

Self-assembled complete hair follicle organoids by coculture of neonatal mouse epidermal cells and dermal cells in Matrigel

BACKGROUND

3D organoid cultures of hair follicles (HFs) are powerful models that mimic native HF for both in-depth study of HF disease and precision therapy. However, few studies have investigated the complete structure and properties of HF organoids. To investigate and characterize the complete HF organoids self-assembled by coculture of neonatal mouse epidermal cells (MECs) and dermal cells in Matrigel.

METHODS

Fresh epidermal and dermal cells from newborn mice (n=4) were isolated, and cocultured (1:1 ratio) in Matrigel using DMEM/F12 medium for 1 week. During the culture, an inverted microscope was used to observe the morphology of the 3D constructs. After 1 week, hematoxylin-eosin (HE) and immunofluorescence (IF) staining of HF-related markers (K5, K73, AE13, and K10), HF stem cell markers (K15, CD34, CD49f), skin-derived precursor-related marker (Nestin), and dermal papillae (DP)-specific markers (SOX2 and ALP) was performed in the harvested constructs to identify the HF organoids.

RESULTS

Epidermal and dermal cells self-assembled into HF organoids comprising an infundibular cyst-like structure, a lower segment-like structure, and a bulb-like structure from tail to root. The HF organoid had multiple, well-defined compartments similar to native anagen HF. Of the three segments, K73 was expressed in the inner root sheath-like layer, AE13 was localized in the hair shaft-like structure, K5, K15, CD34, and CD49f were present in the outer root sheath-like layer, Nestin labeled the connective tissue sheath-like layer, and SOX2 and ALP were expressed in the DP-like structure. Furthermore, K10 and K73 were expressed in the infundibular cyst-like structure. The expression of these molecular proteins was consistent with native anagen HF.

CONCLUSIONS

The complete HF organoid regenerated in Matrigel has specific compartments and is an excellent model to study HF disease and precision therapy.

Fourier transform infrared spectroscopy and chemometrics for the discrimination of animal fur types

Rapid and reliable animal fur identification has remained a challenge for customs inspection. The accurate distinction between fur types has a significant meaning in implementing the correct tariff policy. A variety of analytical methods have been applied to work on distinguishing animal fur types, with tools of microscopy, molecular testing, mass spectrometry, Fourier transform infrared spectroscopy (FTIR), and Raman spectroscopy. In this research, the capability of attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) combined with pattern recognition methods was investigated for the discrimination of animal fur in six types. This work was to explore the non-destructive application of ATR-FTIR technique in discriminant analysis of animal fur. All spectra were collected by ATR-FTIR of the wavenumber ranging from 4000 to 650 cm^-1. Data pretreatments included moving average smoothing and multiplicative scatter correction (MSC). Four supervised classification algorithms were chosen to categorize the types of fur: soft independent modeling of class analogy (SIMCA), principal component analysis linear discriminant analysis (PCA-LDA), partial least squares discriminant analysis (PLS-DA), least squares support vector machine (LS-SVM). PLS-DA and LS-SVM were both effective approaches, with a 100% classification accuracy rate. The accuracy of PCA-LDA and SIMCA was 98.33% and 99.44%, respectively. Furthermore, LS-SVM model obtained using Monte-Carlo sampling method also obtained 100% prediction accuracy, while all other methods produced misclassification. LS-SVM corrected the non-linearities for the animal fur FTIR data but also remarkably improved the prediction performance level. The results of this study revealed that the combination of ATR-FTIR and chemometrics has a huge potential for animal fur discrimination.

Selected Instrumental Techniques Applied in Food and Feed: Quality, Safety and Adulteration Analysis

This review presents an overall glance at selected instrumental analytical techniques and methods used in food analysis, focusing on their primary food science research applications. The methods described represent approaches that have already been developed or are currently being implemented in our laboratories. Some techniques are widespread and well known and hence we will focus only in very specific examples, whilst the relatively less common techniques applied in food science are covered in a wider fashion. We made a particular emphasis on the works published on this topic in the last five years. When appropriate, we referred the reader to specialized reports highlighting each technique's principle and focused on said technologies' applications in the food analysis field. Each example forwarded will consider the advantages and limitations of the application. Certain study cases will typify that several of the techniques mentioned are used simultaneously to resolve an issue, support novel data, or gather further information from the food sample.

Layered patterns in nature, medicine, and materials: quantifying anisotropic structures and cyclicity

Various natural patterns-such as terrestrial sand dune ripples, lamellae in vertebrate bones, growth increments in fish scales and corals, aortas and lamellar corpuscles in humans and animals-comprise layers of different thicknesses and lengths. Microstructures in manmade materials-such as alloys, perlite steels, polymers, ceramics, and ripples induced by laser on the surface of graphen-also exhibit layered structures. These layered patterns form a record of internal and external factors regulating pattern formation in their various systems, making it potentially possible to recognize and identify in their incremental sequences trends, periodicities, and events in the formation history of these systems. The morphology of layered systems plays a vital role in developing new materials and in biomimetic research. The structures and sizes of these two-dimensional (2D) patterns are characteristically anisotropic: That is, the number of layers and their absolute thicknesses vary significantly in different directions. The present work develops a method to quantify the morphological characteristics of 2D layered patterns that accounts for anisotropy in the object of study. To reach this goal, we use Boolean functions and an N-partite graph to formalize layer structure and thickness across a 2D plane and to construct charts of (1) "layer thickness vs. layer number" and (2) "layer area vs. layer number." We present a parameter disorder of layer structure (DStr) to describe the deviation of a study object's anisotropic structure from an isotropic analog and illustrate that charts and DStr could be used as local and global morphological characteristics describing various layered systems such as images of, for example, geological, atmospheric, medical, materials, forensic, plants, and animals. Suggested future experiments could lead to new insights into layered pattern formation.

A Novel Application of a Cryosectioning Technique to Aid Scat Hair Microanalysis

Scat hair presents a diverse profile of hairs for morphological assessment that may find versatile applications in wildlife forensic investigations. Successful morphological assessment of scat hair microstructure, however, depends on a robust sectioning methodology. We assessed the feasibility and efficacy of a cryosectioning technique compared to that of a gold standard hand-sectioning technique. Scat hairs were embedded in paraffin wax and hand-sectioned, while cryopreserved scat hairs were sectioned with a cryostat. The results showed that cryosectioning preserved the pristine morphology of the scat hair and provided cross sections more amenable to high-resolution imaging of hair internal microstructure than hand-sectioning. The cryosectioning technique may find novel applications as a more reliable and robust technique to aid (i) scat hair internal microstructure analysis for cross-referencing with species identification keys in wildlife forensic studies and (ii) downstream toxicological analysis in wildlife forensic studies as hair biochemistry is not altered during cryopreservation.

Follow-up on the characterization of peptidic markers in hair and fur for the identification of common North American species

RATIONALE

Species identification of hair is routinely done by microscopic analysis. Following previous studies that used protein analysis to characterize species markers in hair and wool, the present work aims at covering a larger number of species and to ultimately offer a method for rapid hair identification in forensics and archaeology.

METHODS

Hair is mostly made of alpha-keratins; these proteins have only been sequenced in a handful of species and most animal families are under-represented. Using a methodology developed for the characterization of peptidic markers in tissues such as bone (peptide mass fingerprinting or PMF) and commonly applied on collagen, hair from common North American fur-bearing species was analyzed by MALDI-TOF-MS to obtain peptidic profiles.

RESULTS

Alpha-keratin peptides that are typically dominant on peptide mass profiles of hair were chosen as markers. Matching peaks were identified for each species tested and compared to known sequences from related organisms whenever possible. The markers were used to create a flowchart to narrow down identification to the family level.

CONCLUSIONS

The methodology was developed on a limited numbers of markers chosen for their variability and reliability on the peptide mass fingerprint. In the absence of genetic sequences, this strategy is a quick way to compare species from a common geographic origin. The work presented here was focused on North American species but could be applied to other animal families.