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Deng, Bao-Guo,Yao, Jin-Hua,Liu, Qing-Yin,Feng, Xian-Jun,Liu, Dong,Zhao, Li,Tu, Bin,Yang, Fan Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.10
Background: At present, the diagnosis of colorectal cancer (CRC) requires a colorectal biopsy which is an invasive procedure. We undertook this pilot study to develop an alternative method and potential new biomarkers for diagnosis, and validated a set of well-integrated tools called ClinProt to investigate the serum peptidome in CRC patients. Methods: Fasting blood samples from 67 patients diagnosed with CRC by histological diagnosis, 55 patients diagnosed with colorectal adenoma by biopsy, and 65 healthy volunteers were collected. Division was into a model construction group and an external validation group randomly. The present work focused on serum proteomic analysis of model construction group by ClinProt Kit combined with mass spectrometry. This approach allowed construction of a peptide pattern able to differentiate the studied populations. An external validation group was used to verify the diagnostic capability of the peptidome pattern blindly. An immunoassay method was used to determine serum CEA of CRC and controls. Results: The results showed 59 differential peptide peaks in CRC, colorectal adenoma and health volunteers. A genetic algorithm was used to set up the classification models. Four of the identified peaks at m/z 797, 810, 4078 and 5343 were used to construct peptidome patterns, achieving an accuracy of 100% (> CEA, P<0.05). Furthermore, the peptidome patterns could differentiate the validation group with high accuracy close to 100%. Conclusions: Our results showed that proteomic analysis of serum with MALDI-TOF MS is a fast and reproducible approach, which may provide a novel approach to screening for CRC.
Magnitude Estimation Approach for Assessing Stickiness Sensation Perceived in Wet Fabrics
Ka-Po Maggie Tang,Kam-Hong Chau,Chi-wai Kan,Jin-tu Fan 한국섬유공학회 2018 Fibers and polymers Vol.19 No.11
Sweating will trigger stickiness sensation and affecting sensorial comfort of wearer. This study aims at assessing stickiness sensation perceived in wetted fabrics utilizing the Body Movement Simulator (BMS). BMS was built to drive the samples to and fro subject’s volar forearms, providing repeatable fabric movement. Assessors were asked to compare the sample with the reference and assign numerical value to the sample using the magnitude estimation approach. 22 types of fabrics with different constructional parameters and fiber content were assessed by 23 assessors. Statistical analysis shows that within-judge reliability and between-judge consistency are satisfactory, and significant between-fabric differences are observed, demonstrating that both experimental method and assessor panel are reliable. The results reveal that thicker fabrics with higher absorption capacity and less contact area with skin contribute to weaker stickiness sensation. The perceived stickiness is highly related to water content and saturation level of samples, but poorly related to its surface friction and roughness in dry condition. This subjective assessment method is useful for assessing the stickiness sensation in textiles especially for sportswear, intimate apparel or hygiene products.