Suhaidi Nurul Azreen, Halmi Mohd Izuan Effendi, Rashidi Asraf Alif, Anuar Mohd Firdaus Mohd, Mahmud Khairil, Kusnin Norzila, Gani Siti Salwa Abd, Shukor Mohd Yunus Abd
Department of Land Management, Faculty of Agriculture, University Putra Malaysia, 43400 Serdang, Selangor Malaysia.
Unit of Biodiversity, Institute of Bioscience, Universiti Putra Malaysia, 43400 Serdang, Selangor Malaysia.
3 Biotech. 2023 May;13(5):121. doi: 10.1007/s13205-023-03532-z. Epub 2023 Apr 5.
A very sensitive and selective colorimetric biosensor for the measurement of mercury ion (Hg) in environmental samples has been developed using functionalized gold nanoparticles with bromelain enzyme (brn-AuNPs). This work has shown that Hg measurement based on spectrophotometer and digital image analysis is a very innovative and successful method for providing an effective preliminary system and has promise for the future of water quality biomonitoring. Response Surface Methodology (RSM), a Box-Behnken design-based technique, was used to identify the optimum levels of functionalization of bromelain to AuNPs. The created model's validity was confirmed, and statistical analysis revealed that the ideal functionalize conditions were 1 mM of AuNPs, functionalize with 0.59 mM bromelain concentration on 14 ℃ temperature and 72 h incubation time. The lowest colorimetric detection concentration (LOD) of brn-AuNPs of Hg was 0.0092 ppm and 0.011 ppm for spectrophotometer and digital image analysis. As shown, digital image analysis had advantages based on the LOD result comparable to UV-VIS spectrophotometer. The practical application of the brn-AuNPs sensing was proven with mercury determination in water samples. The present study developed a robust sensor, which successfully implemented in a compact portable sensor kit, turning this sensor into a very potent tool for the development water quality biomonitoring system of Hg application.
一种用于测量环境样品中汞离子（Hg）的高灵敏度和高选择性比色生物传感器已被开发出来，该传感器使用了用菠萝蛋白酶（brn-AuNPs）功能化的金纳米颗粒。这项工作表明，基于分光光度计和数字图像分析的汞测量是一种非常创新且成功的方法，可为提供一个有效的初步系统，并且对水质生物监测的未来具有前景。响应面法（RSM）是一种基于Box-Behnken设计的技术，用于确定菠萝蛋白酶对金纳米颗粒功能化的最佳水平。所创建模型的有效性得到了证实，统计分析表明，理想的功能化条件是1 mM的金纳米颗粒，在14℃温度下用0.59 mM的菠萝蛋白酶浓度进行功能化，孵育时间为72小时。对于分光光度计和数字图像分析，brn-AuNPs对汞的最低比色检测浓度（LOD）分别为0.0092 ppm和0.011 ppm。如图所示，基于LOD结果，数字图像分析与紫外可见分光光度计相比具有优势。通过对水样中汞的测定证明了brn-AuNPs传感的实际应用。本研究开发了一种强大的传感器，该传感器成功应用于紧凑型便携式传感器套件中，使其成为开发汞应用水质生物监测系统的一种非常有效的工具。
