Metal organic frameworks for electrochemical sensor applications: A review

Metal-organic frameworks (MOFs) are broadly known as porous coordination polymers, synthesized by metal-based nodes and organic linkers. MOFs are used in various fields like catalysis, energy storage, sensors, drug delivery etc., due to their versatile properties (tailorable pore size, high surface area, and exposed active sites). This review presents a detailed discussion of MOFs as an electrochemical sensor and their enhancement in the selectivity and sensitivity of the sensor. These sensors are used for the detection of heavy metal ions like Cd²⁺, Pb²⁺, Hg²⁺, and Cu²⁺ from groundwater. Various types of organic pollutants are also detected from the water bodies using MOFs. Furthermore, electrochemical sensing of antibiotics, phenolic compounds, and pesticides has been explored. In addition to this, there is also a detailed discussion of metal nano-particles and metal-oxide based composites which can sense various compounds like glucose, amino acids, uric acid etc. The review will be helpful for young researchers, and an inspiration to future research as challenges and future opportunities of MOF-based electrochemical sensors are also reported.

Association of P2X7 receptor +1513 (A-->C) polymorphism with tuberculosis in a Punjabi population

BACKGROUND

Development of tuberculosis (TB) disease is an outcome of complex host-pathogen interactions. The purinergic P2X(7) receptors are adenosine triphosphate gated molecules shown to induce killing of intracellular Mycobacterium tuberculosis, followed by apoptosis of the infected macrophage. A single nucleotide polymorphism in exon 13 of the P2X(7) receptors gene at +1513 position has been shown to abolish the function of this receptor and to be associated with increased susceptibility to TB in some ethnic groups.

OBJECTIVE

To explore the association of +1513 (A-->C) polymorphism in TB patients in Punjab, North India.

DESIGN

A case-control study was conducted by studying peripheral blood samples from 204 TB patients (181 pulmonary, 23 extra-pulmonary) and 177 controls with no history of TB. P2X(7) +1513 (A-->C) polymorphism was studied using amplification refractory mutation system analysis.

RESULT

The distribution of +1513 A/C genotypes in the TB patient and the control groups revealed a statistically significant association with TB (P = 0.002).

CONCLUSION

The +1513C allele is a risk factor for the development of TB in the North Indian Punjabi population.