Chemistry Department, Faculty of Science, Ain Shams University, Cairo, Egypt.
Chemistry Department, Faculty of Science, Taibah University, Madinah Monawara, Saudi Arabia.
Biosens Bioelectron. 2016 Dec 15;86:413-419. doi: 10.1016/j.bios.2016.06.079. Epub 2016 Jun 29.
A new nano optical sensor binuclear Pd-(2-aminothiazole) (urea), Pd(atz,ur) complex was prepared and characterized for the assessment of the activity of alpha amylase enzyme in urine and serum samples for early diagnosis of Pancreatitis disease. The assessment of alpha amylase activity is carried out by the quenching of the luminescence intensity of the nano optical sensor binuclear Pd(atz,ur) complex at 457nm by the 2-chloro-4-nitrophenol (2-CNP) which produced from the reaction of the enzyme with 2-chloro-4-nitrophenyl-α-d-maltotrioside (CNPG3) substrate. The remarkable quenching of the luminescence intensity at 457nm of nano Pd(atz,ur) doped in sol-gel matrix by various concentrations of the 2-CNP was successfully used as an optical sensor for the assessment of α-amylase activity. The calibration plot was achieved over the concentration range 8.5×10(-6) to 1.9×10(-9)molL(-1) 2-CNP with a correlation coefficient of (0.999) and a detection limit of (7.4×10(-10)molL(-1)). The method was used satisfactorily for the assessment of the α-amylase activity over activity range (3-321U/L) in different urine and serum samples of pancreatitis patients. The assessment of the alpha amylase biomarker by the proposed method increases its sensitivity (96.88%) and specificity (94.41%) for early diagnosis of pancreatitis diseases.
一种新型纳米光学传感器双核 Pd-(2-氨基噻唑)(脲)，Pd(atz,ur)配合物被制备并用于评估尿液和血清样本中α-淀粉酶酶的活性，以实现胰腺炎疾病的早期诊断。通过 2-氯-4-硝基苯酚(2-CNP)对纳米光学传感器双核 Pd(atz,ur)配合物在 457nm 处的荧光强度进行猝灭来评估α-淀粉酶的活性，该 2-CNP 是由酶与 2-氯-4-硝基苯基-α-d-麦芽三糖苷(CNPG3)底物反应产生的。通过 2-CNP 的不同浓度成功地将纳米 Pd(atz,ur)掺杂在溶胶-凝胶基质中对 457nm 处的荧光强度进行显著猝灭，将其用作评估α-淀粉酶活性的光学传感器。在 8.5×10(-6)至 1.9×10(-9)molL(-1) 2-CNP 的浓度范围内，获得了校准曲线，相关系数为(0.999)，检测限为(7.4×10(-10)molL(-1))。该方法可用于评估不同胰腺炎患者尿液和血清样本中α-淀粉酶活性范围内(3-321U/L)的活性。通过该方法评估α-淀粉酶生物标志物可提高其对胰腺炎疾病的早期诊断的灵敏度(96.88%)和特异性(94.41%)。
