Research on correction method of palatal rugae morphology in forensic digital identification system / Investigación sobre el método de corrección de la morfología de las rugas palatinas en sistema digital de identificación forense

SUMMARY: Palatal rugae is an irregular soft tissue, which is located in the front third of the hard palate, and is asymmetrically distributed from the middle suture to the sides. The difference, stability and extensive characteristics of palatal rugae morphology have gradually make it a characteristic indicator of forensic identification. However, a mature digital palatal rugae identification system has not yet been established at present. Feature extraction is the premise of palatal rugae image recognition. In order to obtain palatal rugae feature information in all directions and improve the reliability of forensic identification, it is necessary to collect palatal rugae images from a plurality of different angles. When the collected images are sent to the recognition system, the diversity of angles will often cause problems such as error recognition. If the tilted images are not rotated properly, it will make the forensic identification face many difficulties. To solve the problem of image skew caused by the diversity of acquisition angle, an algorithm based on orientation vector to correct the tilted palatal rugae images was proposed in this paper. Firstly, the criteria for standard palatal rugae image and the selection rules for feature points were set; Secondly, characterizing feature points according to the rules, and fitting two lines and find their direction vector; Finally, to obtain the corrected images, the tilted images were rotated by the angle determined by the two direction vectors. Simulation results show that the proposed algorithm can correct the tilted palatal rugae images collected from different angles and has strong robustness.

RESUMEN: Las rugas palatinas son tejidos blandos irregulares, que se ubican en el tercio frontal del paladar duro y se distribuyen asimétricamente desde la sutura mediana hacia los lados. La diferencia, la estabilidad y las características extensivas de la morfología de las rugas palatinas la han convertido gradualmente en un indicador característico de la identificación forense. Sin embargo, un sistema de identificación de rugas palatinas digitales maduras todavía no se ha establecido en la actualidad. La extracción de características es la premisa del reconocimiento de imágenes de las rugas palatinas. Para obtener información sobre las características de las rugas palatinas en todas las direcciones, y mejorar la confiabilidad de la identificación forense, es necesario recopilar imágenes de las rugas palatinas desde una pluralidad de ángulos diferentes. Cuando las imágenes recogidas se envían al sistema de reconocimiento, la diversidad de ángulos a menudo causará problemas como el reconocimiento de errores. Si las imágenes inclinadas no se giran correctamente, la identificación forense se enfrentará a muchas dificultades. Para resolver el problema del sesgo de la imagen causado por la diversidad del ángulo de adquisición, en este documento se propuso un algoritmo basado en el vector de orientación para corregir las imágenes de las arrugas palatinas inclinadas. En primer lugar, se establecieron los criterios para la imagen de las rugas palatinas estándar, y las reglas de selección para los puntos de características. En segundo lugar, se determinaron puntos de características según las reglas, y se ajustaron dos líneas y encontrar la dirección del vector. Finalmente, para obtener las imágenes corregidas, las imágenes inclinadas se giraron según el ángulo determinado por la dirección de dos vectores. Los resultados de la simulación muestran que el algoritmo propuesto puede corregir las imágenes de rugas palatinas inclinadas recopiladas desde diferentes ángulos y tiene una gran robustez.

High-throughput analytical techniques for determination of residues of 653 multiclass pesticides and chemical pollutants in tea, Part II: comparative study of extraction efficiencies of three sample preparation techniques.

This paper reports a study of the extraction efficiency for the multiresidue pesticides and chemical pollutants in tea with three methods over three stages. Method 1 adopts the Pang et al. approach: the targets were extracted with 1% acetic acid in acetonitrile and cleaned up with a Cleanert TPT SPE cartridge; Method 2 adopts the QuEChERS approach: the targets were cleaned up dispersively with graphitized carbon and primary-secondary amine (PSA) sorbent; Method 3 adopts the relatively commonly used approach of hydration for solid samples, with tea hydrated before being extracted through salting out with acetonitrile and the cleanup procedures identical to those of Method 1. The three stages comprised two phases of comparative tests on spike recoveries of 201 pesticides and chemical pollutants from different teas and a third phase on determination of the content of the 201 pesticides and chemical pollutants from aged tea samples. In stages I and II, test results of the spike recoveries of 201 pesticides and chemical pollutants demonstrated that 91.4% of the pesticide and chemical pollutant recoveries fell within the range of 70-110%, and 93.2% of the pesticides and chemical pollutants had RSD < 15%, with no marked difference obtained by Method 1 and Method 2 regardless of whether it was green tea or woolong tea, or GC/MS or GC/MS/MS was used for analysis. For pigment removal, Method 1 was superior to Method 2; in terms of easy operation, Method 2 outweighed Method 1. However, Method 3 obtained relatively low recoveries, with 94% of pesticide and chemical pollutant recoveries less than 70%, which proved that Method 3 was not applicable to the determination of multiresidue pesticides and chemical pollutants in tea. Stage III made a comparison of Method 1 and Method 2 for the extraction efficiency of pesticides and chemical pollutants in 165-day-aged samples of green and woolong tea. Test results showed that 94% of the pesticide and chemical pollutant content in the aged tea samples was recovered with Method 1, more than 10% higher than with Method 2 (30-50% higher on average). For green tea, 193 (GC/MS/MS) and 197 (GC/MS) pesticides and chemical pollutants accounted for 96.5% (GC/MS/MS) and 98.0% (GC/MS) with Method 1 higher than with Method 2. For woolong tea, 191 (GC/MS/MS) and 194 (GC/MS) pesticides and chemical pollutants accounted for 95% (GC/MS/MS) and 96% (GC/MS/MS) with Method 1, higher than with Method 2, respectively. In other words, there were definite differences in the test results for aged tea samples between Method 1 and Method 2, which suggests that Method 1 was capable of extracting more residual pesticides and chemical pollutants from the precipitated 165-day-aged tea samples. The reason can be traced to the possibility that Method 1 (high-speed homogenizing) has better extraction efficiency than Method 2 (vortex and oscillation). Therefore, Method 1 was chosen as the sample preparation technique for multiresidue pesticide and chemical pollutant analysis in tea.