GET THE APP

Non-microbiological Techniques for Mycobacterial Detection in the Quality Control of Biological Products
..

Journal of Bioprocessing & Biotechniques

ISSN: 2155-9821

Open Access

Opinion - (2024) Volume 14, Issue 5

Non-microbiological Techniques for Mycobacterial Detection in the Quality Control of Biological Products

Sofia Haik*
*Correspondence: Sofia Haik, Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, USA, Email:
Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, USA

Received: 02-Sep-2024, Manuscript No. Jbpbt-24-153244; Editor assigned: 04-Sep-2024, Pre QC No. P-153244; Reviewed: 17-Sep-2024, QC No. Q-153244; Revised: 23-Sep-2024, Manuscript No. R-153244; Published: 30-Sep-2024 , DOI: 10.37421/2155-9821.2024.14.643
Citation: Haik, Sofia. “Non-microbiological Techniques for Mycobacterial Detection in the Quality Control of Biological Products.” J Bioprocess Biotech 14 (2024): 643.
Copyright: © 2024 Haik S. This is an open-access article distributed under the terms of the creative commons attribution license which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Introduction

The presence of mycobacteria in biological products is a significant concern in the pharmaceutical and biotechnology industries, especially given the potential health risks posed by these pathogens. Mycobacteria, including Mycobacterium tuberculosis and other Non-Tuberculous Mycobacteria (NTM), are slow-growing and can persist in various environments, including those used in the production of biological products. Biological products such as vaccines, therapeutic proteins, and monoclonal antibodies are particularly vulnerable to contamination due to their biological nature and the processes used in their manufacturing. Contamination by mycobacteria not only poses a safety risk to patients but can also jeopardize the quality and efficacy of these products. Traditionally, microbiological methods, including culture-based techniques, have been employed to detect mycobacteria in these products. However, these methods have limitations, such as the time required for incubation, the sensitivity for low-level contamination, and the potential for false negatives or positives. This has led to the exploration of non-microbiological techniques for mycobacterial detection, which aim to overcome these limitations and improve the quality control processes of biological products.

Description

Non-microbiological techniques for detecting mycobacteria have become an essential part of ensuring the safety and efficacy of biological products. These methods offer several advantages over traditional microbiological approaches, including faster detection, higher sensitivity, and the ability to detect mycobacterial contamination at earlier stages of production. The increasing demand for high-quality biological products, along with the growing complexity of their production processes, necessitates the development of alternative, more efficient detection techniques. These methods are especially important in settings where the time and labor-intensive nature of microbiological methods could delay the release of products or lead to contamination going undetected until later stages of production. Nonmicrobiological techniques are thus critical in meeting regulatory requirements for product safety and ensuring that biological products reach the market in a timely manner. One of the most widely discussed non-microbiological techniques for mycobacterial detection is Polymerase Chain Reaction (PCR) [1]. PCR-based methods have revolutionized the detection of mycobacteria due to their ability to detect small amounts of mycobacterial DNA in a sample. This is particularly useful in biological products, where the presence of even a small number of mycobacteria could have serious consequences. PCR assays, including real-time PCR and quantitative PCR, have been employed to identify mycobacterial DNA sequences with high specificity. These techniques offer high sensitivity and are capable of detecting contamination at an early stage, often before visible growth of mycobacteria occurs in culture-based methods. PCR can also be adapted to detect specific species of mycobacteria, enabling a more tailored and targeted approach for different types of biological products. Furthermore, PCR-based techniques can be used to screen large numbers of samples in a relatively short period of time, making them highly efficient for use in quality control laboratories that handle large volumes of testing [2].

Another non-microbiological method gaining traction is Loop-Mediated Isothermal Amplification (LAMP). Like PCR, LAMP is a DNA amplification technique, but it operates under isothermal conditions, meaning it does not require the temperature cycling used in traditional PCR. This makes LAMP an attractive alternative for mycobacterial detection in resource-limited settings or environments where laboratory equipment is not readily available. LAMP assays can be performed with minimal technical expertise and can yield results within a short time frame. Furthermore, LAMP is highly sensitive and can detect low levels of contamination, making it an effective method for quality control in biological product manufacturing. The simplicity, speed, and cost-effectiveness of LAMP make it an ideal candidate for routine testing, especially when rapid results are required for batch release and ensuring the safety of biological products. Mass spectrometry is another emerging nonmicrobiological technique that has shown great promise in the detection of mycobacteria. Matrix-Assisted Laser Desorption/Ionization Time-Of-Flight (MALDI-TOF) mass spectrometry has been used to identify mycobacterial species based on their unique protein profiles. This method is highly accurate, providing rapid and precise identification of mycobacterial species with minimal preparation time. MALDI-TOF can be used to analyze both cultured and non-cultured samples, offering versatility in detecting mycobacteria in various stages of the manufacturing process. One of the advantages of MALDITOF is its ability to detect mycobacterial contamination without the need for prior amplification of DNA, which eliminates the risk of false negatives caused by incomplete or inefficient DNA extraction. Moreover, MALDI-TOF offers high throughput, enabling the simultaneous analysis of multiple samples, which is particularly beneficial in large-scale production settings where numerous products need to be tested quickly and efficiently [3].

Immunoassays, particularly Enzyme-Linked Immunosorbent Assays (ELISA), have also been explored for the detection of mycobacterial antigens. These assays detect specific proteins or other antigens produced by mycobacteria, offering a straightforward and non-invasive method for contamination detection. ELISA-based methods are highly sensitive and can detect low levels of mycobacterial antigens in a variety of samples, including complex biological matrices. The use of ELISA for mycobacterial detection in biological products is advantageous due to its ability to be easily standardized and implemented in routine quality control processes. Furthermore, it can be used in combination with other techniques to provide a more comprehensive detection approach, helping to ensure that any potential contamination is detected early and accurately. While these non-microbiological methods offer significant improvements over traditional microbiological techniques, they are not without challenges. For example, PCR-based methods require high-quality DNA samples, and the presence of inhibitors in complex biological matrices can interfere with amplification. The detection of mycobacterial DNA in the absence of viable organisms may also lead to false positives, complicating the interpretation of results. Similarly, while LAMP and MALDI-TOF are promising, they require optimization for specific mycobacterial species, and their application in routine testing may require further validation and standardization. Immunoassays, while straightforward, can sometimes lack specificity, particularly when cross-reactivity with non-mycobacterial species occurs [4,5].

Conclusion

Despite these challenges, the advantages of non-microbiological techniques for mycobacterial detection in the quality control of biological products cannot be overstated. These methods provide faster, more sensitive, and more reliable alternatives to traditional microbiological techniques. They allow for earlier detection of contamination, reducing the risk of compromised product safety and increasing the overall efficiency of the production process. By integrating these non-microbiological methods into routine quality control procedures, the pharmaceutical and biotechnology industries can ensure that biological products are free from mycobacterial contamination, thereby safeguarding public health and maintaining the integrity of biomanufacturing processes. Non-microbiological techniques for mycobacterial detection represent an important advancement in the field of quality control for biological products. With the increasing complexity and demand for biologics, the need for faster, more accurate, and more reliable detection methods has never been greater. PCR, LAMP, MALDI-TOF, and immunoassays all offer significant improvements over traditional methods, and their continued development and optimization will likely lead to even more efficient quality control processes in the future. By embracing these non-microbiological methods, the industry can ensure that the products it delivers are safe, effective, and free from contamination, thus meeting regulatory requirements and ultimately protecting patient health.

Acknowledgement

None.

Conflict of Interest

None.

References

  1. Hermann, Clemens, Leshern Karamchand, Jonathan M. Blackburn and Nelson C. Soares. "Cell envelope proteomics of mycobacteria." J Proteome Res 20 (2020): 94-109.
  2. Google Scholar, Crossref, Indexed at

  3. Van Ingen, J., M. J. Boeree, P. N. R. Dekhuijzen and D. Van Soolingen. "Environmental sources of rapid growing nontuberculous mycobacteria causing disease in humans." Clin Microbiol Infect 15 (2009): 888-893.
  4. Google Scholar, Crossref, Indexed at

  5. Kaevska, Marija and Iva Slana. "Comparison of filtering methods, filter processing and DNA extraction kits for detection of mycobacteria in water." Ann Agric Environ Med 22 (2015).
  6. Google Scholar, Crossref, Indexed at

  7. Radomski, Nicolas, Françoise S. Lucas, Régis Moilleron and Emmanuelle Cambau, et al. "Development of a real-time qPCR method for detection and enumeration of Mycobacterium spp. in surface water." Appl Environ Microbiol 76 (2010): 7348-7351.
  8. Google Scholar, Crossref, Indexed at

  9. Kaser, Michael, Marie-Thérése Ruf, Julia Hauser and Laurent Marsollier, et al. "Optimized method for preparation of DNA from pathogenic and environmental mycobacteria." Appl Environ Microbiol 75 (2009): 414-418.
  10. Google Scholar, Crossref, Indexed at

Google Scholar citation report
Citations: 3351

Journal of Bioprocessing & Biotechniques received 3351 citations as per Google Scholar report

Journal of Bioprocessing & Biotechniques peer review process verified at publons

Indexed In

 
arrow_upward arrow_upward

https://sekillinickyazma.com.tr/

pinbahis