Kundu Monika, Bhardwaj Hema, Pandey Manoj Kumar, Krishnan Prameela, Kotnala R K, Sumana Gajjala
1Division of Agricultural Physics, ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India.
2CSIR-National Physical Laboratory, Dr. K.S. Krishnan Marg, New Delhi, 110012 India.
J Food Sci Technol. 2019 Apr;56(4):1829-1840. doi: 10.1007/s13197-019-03635-7. Epub 2019 Feb 18.
An electrochemical biosensor was developed to determine formaldehyde (HCHO) adulteration commonly found in food. The current responses of various electrodes based on multiwalled carbon nanotubes (CNTs) and synthesized nanocomposite (CNT-FeO) were measured using cyclic voltammetry. The nanocomposite based biosensor shows comparatively high sensitivity (527 µA mg/L cm), low detection limit (0.05 mg/L) in linear detection range 0.05-0.5 mg/L for formaldehyde detection using formaldehyde dehydrogenase (FDH) enzyme. In real sample analysis, the low obtained RSD values (less than 1.79) and good recovery rates (more than 90%) signify an efficient and precise sensor for the selective quantification of formaldehyde in orange juice. The developed biosensor has future implications for determining formaldehyde adulteration in citrus fruit juices and other liquid foods in agri-food chain to further resolve global food safety concerns, control unethical business practices of adulteration and reduce the widespread food borne illness outbreaks.
开发了一种电化学生物传感器,用于测定食品中常见的甲醛(HCHO)掺假情况。使用循环伏安法测量了基于多壁碳纳米管(CNT)和合成纳米复合材料(CNT-FeO)的各种电极的电流响应。基于纳米复合材料的生物传感器在使用甲醛脱氢酶(FDH)进行甲醛检测时,在0.05-0.5mg/L的线性检测范围内显示出相对较高的灵敏度(527µA mg/L cm)、低检测限(0.05mg/L)。在实际样品分析中,获得的低相对标准偏差值(小于1.79)和良好的回收率(超过90%)表明该传感器对于橙汁中甲醛的选择性定量分析是高效且精确的。所开发的生物传感器对于确定农业食品链中柑橘类果汁和其他液体食品中的甲醛掺假具有未来意义,以进一步解决全球食品安全问题、控制掺假的不道德商业行为并减少广泛的食源性疾病爆发。