Cost-Effective Biosensors for the Detection of Various Analytes and Rapid Diagnosis in View of Public Health Profile: A Review
Keywords:
Analytes, Biosensors, Detection, Low cost, Low power, SensitivityAbstract
The recent incidents of pandemic virus outbreaks and health-related issues like food adulteration and water contamination have raised concerns among citizens about health-related issues. Providing treatment to individual patients when rapidly increasing infection affects is the need to avoid the number of deaths in a proper schedule. In remote areas, it is not possible to treat patients using conventional methods, as many medical instruments are bulky and require a trained workforce in developing countries like India. The cost is also high, and the process is also time-consuming. By using bulky ECG systems, it is not possible to monitor abnormal heart rate continuously. IoT-based wearable devices are gaining importance nowadays. Therefore, researchers are focusing on low-cost, low-power, portable devices with reliable technologies to provide the best treatment to the public. Many instruments are presented and demonstrated effectively with good performance in recent times. This paper describes various models proposed by the investigators to detect analytes for infection-causing reasons in a short duration.
References
M. Chatzipetrou and I. Zergioti, “Digital printing and functionalization of surfaces for biosensing applications,” in IEEE Sensors Journal, vol. 21, no. 20, pp. 22182–22189, Oct, 2021.
B. V. Riberio, T. A. Reis Cordeiro, G. R. O. e Freitas, L. F. Ferriera and D. L. Franco, “Biosensors for the detection of respiratory viruses: A review,” Talanta Open, vol. 2, Dec. 2020.
C. Vaghela, M. Kulkarni, R. Aiyer and M. Karve, “LED-based portable optical biosensor for measurement of serum urea levels using urease immobilized Agarose-Guar Gum composite film,” in IEEE Sensors Journal, vol. 18, no. 17, pp. 7273–7280, Sept. 2018.
UK Research and Innovation (UKRI), Low-cost environmental monitoring sensors: Landscaping review for the UK & India. Swindon, U.K.: UK Research and Innovation, Dec. 2022.
N. Nuroeni et al., “Cost effective and portable heart rate monitoring system using Arduino Uno and finger trip sensor,” Journal of Advance Research Design, vol. 139, no. 1, Apr. 2026.
K. Ahmed, M. M. Ali, M. A. Mollah, F. M. Bui and L. Chen, “Deep learning optimized SPR multi-analyte biosensor for simultaneous detection of water pathogens,” in IEEE Photonics Technology Letters, vol. 38, no. 4, pp. 283–286, Feb. 2026.
K. Prasad Aryal, E. Félix, M. -U. -S. Chowdhury, S. Tallur and R. Pandey, “De-Cortisensor: A portable and highly sensitive direct enzyme-based cortisol detection platform,” in IEEE Sensors Journal, vol. 25, no. 23, pp. 42473–42481, Dec. 2025.
S. A. Ospina-Rodríguez, N. Prieto-Castañeda, N. Vigués and X. Muñoz–Berbel, “Bacterial biosensor supported in nanoclays intercalated with ionic liquids for general toxicity assessment,” in IEEE Sensors Letters, vol. 8, no. 10, pp. 1–4, Oct. 2024.
P. Supraja, R. Gangwar, S. Tripathy, S. R. K. Vanjari and S. G. Singh, “PPY-fMWCNT Nanocomposite-based chemicapacitive biosensor for ultrasensitive detection of TBI-specific GFAP biomarker in human plasma,” in IEEE Sensors Letters, vol. 8, no. 12, pp. 1–4, Dec. 2024.
X. Guo, S. Sang, Y. Liu, M. Luo, D. Han and D. Shen, “Three-dimensional printed flexible magnetoelastic biosensor for C-reactive protein detection based on patterned PDMS/MnFe2O4 film," in IEEE Sensors Journal, vol. 24, no. 2, pp. 1572–1578, Jan. 2024.
A. Hanman, S. M. Chenna, I. M. Pires, “Machine learning based smart wearable system for cardiac arrest monitoring using hybrid computing,” Biomedical Signal Processing and Control, vol. 87, Jan. 2024.
P. -Y. Kuo, T. -H. Wang, W. -H. Lai and C. -H. Chang, “Analysis and measurements of an urea biosensor based on instrumentation amplifier chip with cross-coupled technique,” in IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1–9, 2023.
R. Nandeshwar and S. Tallur, “Integrated low cost optical biosensor for high resolution sensing of Myeloperoxidase (MPO) activity through carbon nanotube degradation,” in IEEE Sensors Journal, vol. 21, no. 2, pp. 1236–1243, Jan. 2021.
A. Galli, R. J. H. Montree, S. Que, E. Peri, and R. Vullings, “An overview of the sensors for heart rate monitoring used in extramural applications,” Sensors, vol. 22, no. 11, May 2022.
S. Li, Y. Jiang, S. Eda and J. J. Wu, “Low-cost and desktop-fabricated biosensor for rapid and sensitive detection of circulating D-dimer biomarker,” in IEEE Sensors Journal, vol. 19, no. 4, pp. 1245–1251, Feb. 2019.
S. -Y. Lee, C. -P. Wang and Y. -S. Chu, “Low-voltage OTA–C filter with an area- and power-efficient OTA for biosignal sensor applications,” in IEEE Transactions on Biomedical Circuits and Systems, vol. 13, no. 1, pp. 56–67, Feb. 2019.
M. E. G. Bigelow et al., “Point-of-care technologies for the advancement of precision medicine in heart, lung, blood, and sleep disorders,” in IEEE Journal of Translational Engineering in Health and Medicine, vol. 4, pp. 1–10, 2016.
S. Chen, Y. Liu, Q. Liu, Z. Liu and W. Peng, “Self-reference surface plasmon resonance biosensor based on multiple-beam interference,” in IEEE Sensors Journal, vol. 16, no. 21, pp. 7568–7571, Nov. 2016.
N. Samanta, O. Kundu and C. R. Chaudhuri, “A simple low power electronic readout for rapid bacteria detection with impedance biosensor,” in IEEE Sensors Journal, vol. 13, no. 12, pp. 4716–4724, Dec. 2013.
