Close

Current Research in Nutrition and Food Science - An open access, peer reviewed international journal covering all aspects of Nutrition and Food Science

lock and key

Sign in to your account.

Account Login

Forgot your password?

Effect of Nisin on Microbial, Physical, and Sensory Qualities of Micro-filtered Coconut Water (Cocos nucifera L.) during Refrigerated Storage

Nutsuda Sumonsiri *

Department of Agro-Industrial, Food, and Environmental Technology, Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok (KMUTNB), Bangkok 10800 Thailand

Corresponding Author Email: nutsuda.s@sci.kmutnb.ac.th

DOI : https://dx.doi.org/10.12944/CRNFSJ.7.1.23

Article Publishing History

Received: 17-07-2018

Accepted: 09-04-2019

Published Online: 22-04-2019

Plagiarism Check: Yes

Reviewed by: Dr Seyed Mohammad Taghi Gharibzahedi Iran

Second Review by: Sari Intan Kailaku India

Final Approval by: Prof. Gabriel O. Adegoke

Article Metrics

Views  

PDF Download  PDF Downloads: 1520
Abstract:

The efficacy of nisin (25-75 ppm) and effect of storage time on quality attributes of micro-filtered coconut water during refrigerated storage (4°C) for 8 days was investigated in terms of total viable counts, colour, turbidity and overall sensory acceptance. All treatments significantly retarded the bacterial growth in coconut water during storage when compared to the control sample (p < 0.05). The samples treated with 50 and 75 ppm nisin had significantly lower aerobic microbial counts than the control (p < 0.05) without affecting colour, turbidity and sensory acceptability. The treated samples also had the significantly higher scores in overall acceptance than the control sample after 7 days of storage.50 ppm Nisin was suggested to be applied in micro-filtered coconut water without effects on colour, turbidity, and sensory acceptability by a reduction in changes of the microbial growth during the refrigerated storage.

Keywords:

Bacteriocin; Coconut Water; Microfiltration; Nisin; Storage; Quality

Download this article as: 

Copy the following to cite this article:

Sumonsiri N. Effect of Nisin on Microbial, Physical, and Sensory Qualities of Micro-filtered Coconut Water (Cocosnucifera L.) during Refrigerated Storage. Curr Res Nutr Food Sci 2019; 7(1). doi : http://dx.doi.org/10.12944/CRNFSJ.7.1.23


Copy the following to cite this URL:

Sumonsiri N. Effect of Nisin on Microbial, Physical, and Sensory Qualities of Micro-filtered Coconut Water (Cocosnucifera L.) during Refrigerated Storage. Curr Res Nutr Food Sci 2019; 7(1). https://bit.ly/2vhIjCg


Introduction

Coconut water is clear liquid taken out from immature green coconuts (Cocos nucifera L.). It is a very popular drink, which is consumed worldwide as a refreshing drink due to its therapeutic and nutritional properties.1 It has also been used for the treatment of oral dehydration, diarrhoea, gastroenteritis, cholera, and other infectious diseases that cause dehydration, especially of children in underdeveloped countries.2 The chemical composition of coconut water consists of water (96.11%), sugars (including glucose, fructose and sucrose, 2.7%), proteins (0.25%), lipids (0.51%), and ash (0.43%). There are plenty of minerals, such as potassium, calcium, magnesium, and manganese, but low in sodium. The number of chemical components varies with the cultivar and maturation stage of coconut.3

Since coconut water is rich in nutrients, it deteriorates easily once exposed to air. In commercial processing of coconut water, ultra-high temperature technology is usually used to prolong its shelf-life. However, this thermal processing causes loss of fresh flavour and some nutrients, leading to the limited marketability of canned coconut water4. Non-thermal processing, such as microfiltration, is an alternative way to preserve freshness, aroma, taste and nutrient contents of coconut water and other fruit juices.2,5,6,7

Nisin is a polypeptide which can be used as a preservative in food products against Gram-positive bacteria, including Clostridium botulinum, Bacillus sporothermodurans, and B. cereus, as well as some bacterial spores.8,9,10 It can be produced by Lactococcuslactis subspecies lactis. Nowadays, nisin is allowed in a variety of food products in many countries.11 In Mexico and Peru, nisin is allowed in any food products. In the United States, it is accepted as a GRAS (generally recognized as safe) agent and allowed to be used to inhibit Clostridium botulinum spore outgrowth and toxin formation in pasteurized cheese spread with meats, vegetables, and/or fruits.12 Moreover, this peptide can be found in the list of European food additives (No.E234).13 For its application in beverages, salad dressings, dairy products, and vegetables.14 In Russia, nisin(up to 100 ppm) is allowed in vegetables such as raw, peeled, minimally processed, or semi-preserved cauliflower, green peas, and potatoes. In the Slovak Republic, nisin (up to 12.5 ppm) has been approved in pickled and sterilized vegetables and some ready-to-eat meals.15 In India, nisin with a permitted concentration at 125 ppm is approved in coconut water.8 Recently, the research on application of nisin in a blend juice containing carrot juice (20%), tomato juice (20%), and beetroot juice (60%) has revealed that nisin (20 ppm) can help stabilize the thermal-treated juice packed in polyethene standy pouches over storage of 90 days at room temperature (28°C).16 Another study also showed a positive effect of nisin on microbial inactivation in fruit juices, such as cashew, peach, passion fruit, soursop, mango, orange, cupuassu, and guava.17  Many studies showed the combination of thermal processing and nisin to preserve tropical fruit juices; however, there are still limited numbers of studies on non-thermal processing and nisin in coconut water.

The aim of this research was to study the influence of nisin on quality characteristics and overall acceptability of micro-filtrated coconut water during refrigerated storage (4°C).

Materials and Methods

Materials

Green coconuts (with maturity levels of approximately 5 to 7 months), were purchased from a local market in Nonthaburi, Thailand, immediately stored in a refrigerator (4°C), and used in sample preparation within 24 hr after purchasing or within 72 h after harvesting.

Sample Preparation

Coconuts were initially rinsed in tap water to remove soil and then immersed in calcium hypochlorite solution (200 mg/L) for 15 min to reduce an initial number of microorganism on the surface of coconuts.18 Afterwards, they were rinsed with distilled water to remove residual chlorine and then allowed to air-dry. Following Good Manufacturing Practices, the coconuts were cut with a sanitized stainless-steel knife and coconut water was thoroughly mixed using a glass stirring rod in a sterile container. Refined sucrose (MitrPhol Sugar Co., Ltd., Bangkok, Thailand) and citric acid (Ajax FinechemPty., Ltd., New Zealand) were used to standardize coconut water to 7˚Brix and pH of 4.3-4.5 respectively.

To prepare the control sample, coconut water was filtered by filter cloth to remove suspended solids. The microfiltration was carried our using sterile Whatman Polyethersulfone Puradisc syringe filter (0.2 µm pore size, 25 mm diameter) (Sigma-Aldrich Pte. Ltd., Singapore) within the same day of the extraction.

For preparing nisin-treated samples, food-grade nisin (Shandong Freda Biotechnology Co., Ltd., China) was mixed with coconut water at 25, 50, and 75 ppm for 5 min before the filtration. Other procedures were similar to those steps for the control sample.

All samples were kept in sterile glass bottles and stored in a refrigerator (4°C). The process of sample preparation was independently repeated on 3 different days.

Microbiological Analysis

The pour-plate method19 was used to determine total viable counts (TVC), yeast and moulds, and coliforms every sample at 0, 4, 8, 12, 16, and 20 days of storage. 1.0 mL of the sample from an appropriate serial dilution, which had been prepared by using sterile peptone water (Merck, KGaA, Germany), was pipetted into duplicate sterile Petri dishes. Each Petri dish containing sample was added with Plate Count Agar (PCA) for TVC, acidified potato dextrose agar (PDA) for yeast and moulds, and violet red bile agar (VRB) for coliforms before incubating in an incubator at 37±2 °C (48 h) for TVC, 25±1°C (4 – 5 d) for yeast and molds, and 32±1°C (24 h)  for coliforms. Colonies were counted after the incubation and total viable counts wereexpressedusinglogCFU/mL.

Colour and Turbidity

Colour values of samples were measured with a colourimeter (Color Quest 45/0, Hunter Associates Laboratory, Inc., Reston, VA) after 0, 7, 14, and 21 days of storage. Before the colour determination, a standard white and black reflector plate had been used for calibrating the instrument. Three samples with four readings (by changing the position of the sample)were measured for each treatment at room temperature. CIE L*C*h* colour space was used to express the colour values, including lightness (L*), chroma (C*) and hue angle (h*).

Turbidity of samples was determined by using TU001 Turbidimeter (Qingdao Tlead International Co., Ltd., China), and recorded as nano turbidity units (NTU).

Sensory Evaluation

The selected treatment after comparing with the control in terms of microbial growth, colour changes, and turbidity were determined for overall acceptance among 30 untrained panellists, who had been screened from undergraduate students in Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok, Thailand. The samples at 0 and 8 days of refrigerated storage were presented to the panellists in random order. Random 3-digit codes were used for labelling each sample. All panellists were asked to evaluate samples for overall acceptance with a 9-point hedonic scale (1: dislike extremely, 2: dislike very much, 3: dislike moderately, 4: dislike slightly, 5: neither like nor dislike, 6: like slightly, 7: like moderately, 8: like very much,9: like extremely).

Statistical Analysis

Every analysis was conducted in triplicate, except that analysis of microbial growth, which was conducted in duplicate. Analysis of variance (ANOVA) and Duncan’s Multiple Range Test (DMRT) by IBM SPSS Statistics 21 (IBM Corporation, Armonk, NY) was used to analyze the data to indicate significant differences among samples at p<0.05.

Results and Discussion

Microbiological Analysis

Figure 1 presented the TVC of control and nisin-treated samples during the refrigerated storage. The TVC in the control increased with prolonging the storage time (p<0.05) while this microbial parameter in the treated samples was increased after 10 days of storage. Yeast and mould counts were lower than 1.0 log CFU/mL while total coliforms were not detected in all samples during storage (data not shown). In the previous research, the coconut water contained 1.08 x 101 CFU/mL total microbes after microfiltration (1,000 nm pore size), ultrafiltration (50 nm pore size), and UV treatment.20

All treatments significantly retarded the bacterial growth in coconut water during storage when compared to the control sample (p<0.05). The coconut water treated with 50 and 75 ppm nisin had the lowest TVC with less than 4.5 log CFU/mL until the last day of storage. In the recent research, the combination of malic acid (1500 ppm) and nisin (75 ppm) provided the lowest D55 (decimal reduction times at 55˚C) of Escherichia coli O157: H7 in young coconut liquid endosperm.21 A synergistic effect of high hydrostatic pressure (HHP) with homogenization and nisin (100 IU/mL) is also found in the inactivation of microbiota which has naturally occurred in cucumber juice.22 Moreover, nisin (5000 IU/mL) could improve microbial safety against B. cereus, Alicyclobacillusacidoterrestris, Listeria monocytogenes, and Staphylococcus aureus soursop, peach, cashew, and mango juices during storage at room temperature (30±2˚C) and 4˚C.23 Samples treated with nisin had slower growth of bacteria since nisin can form pores on the cytoplasmic membrane, especially in Gram-positive bacteria. These pores can interrupt a proton motive force, as well as pH equilibrium, which lead to an ion leakage, ATP hydrolysis, and finally death of the cell. Nisin can also bind with lipid II, which is a peptidoglycan precursor, leading to an inhibition of cell wall biosynthesis.24,25,26

Figure 1 Figure 1: Total viable counts of coconut water (control and samples within different concentration) during refrigerated storage. Significant difference among different treatments on the same day of storage was indicated by different lowercase characters (a, b, c) (p<0.05) (error bars: standard deviations, n=3).

Click here to View figure

 

Colour and Turbidity

The lightness (L*), chroma (C*), hue angle (h*), and turbidity in Tables 1 – 4 respectively revealed that the colour attributes and turbidity of micro-filtrated coconut water were not significantly affected by the addition of nisin during storage (p≥0.05). No significant differences in L* were observed in samples with or without nisin during 14 days of storage. In addition, no differences were observed in the chroma and hue angle for samples with or without nisin during 6 days of storage (p≥0.05). Moreover, there was no significant difference in turbidity in all samples during 20 days of storage. Bacteriocins are well known to cause no changes in physicochemical characteristics of foods.26 In the previous study, there was no difference in the browning index for cashew, soursop, juices with and without nisin on the same day of storage at room or refrigerated temperatures.17 The colour changes between control and nisin treated sugarcane juice (140 ppm) were not significantly different during 20 days of refrigerated storage.27

Table 1: Lightness of control and treated sample with nisin (25-75 ppm) during storage at 4°C (n=3).

Nisin (ppm) Days of Storage
0ns 7 ns 14 ns 21
0 (Control) C20.94 ± 0.66 B25.01 ± 1.44 B27.17 ± 1.69 A30.54a ± 0.15
25 D20.94 ± 0.66 C24.00 ± 0.37 B28.14 ± 0.14 A29.20b ± 0.02
50 D20.94 ± 0.66 C24.26 ± 0.14 B27.40 ± 1.77 A29.77ab ± 0.13
75 D20.94 ± 0.66 C24.23 ± 0.47 B28.01 ± 1.59 A30.92a ± 1.26

Uppercase characters (A, B, C, D) indicate significant difference among samples with different storage days at the same concentration of nisin (p<0.05).

Lowercase characters (a, b) indicate significant difference among samples with different concentration of nisin at the same storage day (p<0.05).

ns indicates that samples with different concentration of nisin at the same storage day were not significantly different (p≥0.05).

Table 2: Chroma of control and treated sample with nisin (25-75 ppm) during storage at 4°C (n=3).

Nisin (ppm) Days of Storage
0ns 7ns 14 21
0 (Control) A3.09 ± 0.07 A3.21 ± 0.02 A3.15a ± 0.15 B1.39b ± 0.05
25 A3.09 ± 0.07 A3.18 ± 0.07 A3.16a ± 0.03 B1.16c ± 0.02
50 A3.09 ± 0.07 A3.17 ± 0.04 A3.13a ± 0.03 B1.85a ± 0.10
75 A3.09 ± 0.07 A3.19 ± 0.11 B2.40b ± 0.10 C1.13c ± 0.08

Uppercase characters (A, B, C) indicate significant difference among samples with different storage days at the same concentration of nisin (p<0.05).

Lowercase characters (a, b, c) indicate significant difference among samples with different concentration of nisin at the same storage day (p<0.05).

ns indicates that samples with different concentration of nisin at the same storage day were not significantly different (p≥0.05).

Table 3: Hue angle (˚) of control and treated sample with nisin (25-75 ppm) during storage at 4°C (n=3).

Nisin (ppm) Days of Storage
0ns 7ns 14 21
0 (Control) C256.93 ± 0.67 B259.41 ± 0.30 A260.87a ± 0.46 D245.70b ± 0.87
25 B256.93 ± 0.67 AB259.23 ± 0.13 A260.97a ± 0.64 C253.60a ± 2.99
50 B256.93 ± 0.67 A259.08 ± 0.65 C255.06b ± 1.03 D237.27c ± 0.39
75 B256.93 ± 0.67 A259.41 ± 0.34 B256.17b ± 0.84 C235.30c ± 2.18

Uppercase characters (A, B, C, D) indicate significant difference among samples with different storage days at the same concentration of nisin (p<0.05).

Lowercase characters (a, b, c) indicate significant difference among samples with different concentration of nisin at the same storage day (p<0.05).

ns indicates that samples with different concentration of nisin at the same storage day were not significantly different (p≥0.05).

Table 4: Turbidity (NTU) of control and treated sample with nisin (25-75 ppm) during storage at 4°C (n=3).

Nisin (ppm) Days of Storage
0ns 7ns 14ns 21ns
0 (Control) C34.17 ± 0.85 B39.99 ± 0.26 B41.81 ± 2.07 A52.00 ± 1.64
25 C34.17 ± 0.85 B39.80 ± 2.18 B41.03 ± 1.46 A51.53 ± 0.50
50 C34.17 ± 0.85 BC39.17 ± 2.25 AB41.93 ± 3.28 A47.63 ± 6.29
75 C34.17 ± 0.85 BC38.67 ± 0.60 B40.40 ± 1.18 A45.67 ± 4.53

Uppercase characters (A, B, C) indicate significant difference among samples with different storage days at the same concentration of nisin (p<0.05).

ns indicates that samples with different concentration of nisin at the same storage day were not significantly different (p≥0.05).

Sensory Evaluation

The levels of overall acceptance between the control and coconut water treated with nisin at the first and eighth days of refrigerated storage were evaluated by untrained panellists (n=30).At the first day of storage, the control and treated samples obtained insignificantly different scores in overall acceptance (p≥0.05) (Figure 2). Both control and treated sample obtained overall acceptance scores above ‘7’ or ‘moderately like’.In the application of nisin (140 ppm) in sugarcane juice,27 nisin treated sample obtains slightly lower overall acceptability score than the control sample; however, the overall acceptability score of the treated sample is still at ‘7’ from a 9-point hedonic scale.

At the 8th day of storage, the overall acceptance scores of both nisin-treated and control samples were significantly decreased; however, the nisin-treated sample had a significantly higher score than the control at the same storage period. The results assured that nisin did not have a significant effect on overall acceptance in sensory evaluation at the beginning of storage and it also kept micro-filtered coconut water in the better condition during storage when compared to the sample without nisin added. Bacteriocins are well known to cause no changes in organoleptic characteristics of foods since it does not affect the physicochemical properties of foods.26

Figure 2 Figure 2: Acceptance scores of control and micro-filtered coconut water with 50 ppm nisin at the first and eighth days of storage according to a 9-scale hedonic procedure. Different lowercase characters (a, b, c) indicate a significant difference among samples (p<0.05) (n=30, error bars: standard deviations). 

Click here to View figure


Conclusion

Nisin significantly retarded the bacterial growth in coconut water during storage when compared to the control sample (p<0.05). The samples treated with 50 and 75 ppm nisin had significantly lower aerobic microbial counts than the control (p<0.05) without affecting colour, turbidity and sensory acceptability. The treated samples also had significantly higher scores in overall acceptance than the control sample after 7 days of storage. Nisin at 50 ppm was suggested to be applied in micro-filtered coconut water without effects on colour, turbidity, and sensory acceptability by a reduction in changes of microbial growth during the refrigerated storage.

Acknowledgements

This research was funded by the Coordinating Center for Thai Government Science and Technology Scholarship Students (CSTS), National Science and Technology Development Agency (NSTDA), Contract No. FDA-CO-2559-1444-TH (Project no. SCH-NR2015-217). The author would also like to thank her research assistants, Nantana Chotiprom and NarumonChaitan.

References

  1. Shubhashree M.N., Venkateshwarlu G., Doddamani S.H.Therapeutic and nutritional values of Narikelodaka (tender coconut water)-A review. J.Pharmacogn. Phytochem. 2014;6(4):195.
  2. Reddy E.P., Lakshmi T.M. Coconut water – properties, uses, nutritional benefits in health and wealth and in health and disease: a review. Curr. Trends Clin. Med. Lab. Biochem.2014; 2(2): 6-18.
  3. Appaiah, P., Sunil L., Prasanth Kumar P.K., Gopala Krishna A.G.Physico-chemical characteristics and stability aspects of coconut water and kernel at different stages of maturity. Food Sci. Technol. 2015; 52(8): 5196-5203.
    CrossRef
  4. Rojas M. L., Trevilin J.H., Funcia E.S, Gut J.A.W., Augusto P.E.D.Using ultrasound technology for the inactivation and thermal sensitization of peroxidase in green coconut water. Sonochem.2017;36: 173–181.
    CrossRef
  5. Mahnot N.K., Kalita D., Mahanta C.L., Chaudhuri M.K. Effect of additives on the quality of tender coconut water processed by nonthermal two stage microfiltration technique. LWT-Food Sci. Technol. 2014; 59(2): 1191-1195.
    CrossRef
  6. Karmakar S., De S. Cold sterilization and process modeling of tender coconut water by hollow fibers. Food Eng.2017; 200: 70-80.
    CrossRef
  7. Domingues R.C.C., Ramos A.A., Cardoso V.L., Reis M.H.M. Microfiltration of passion fruit juice using hollow fibre membranes and evaluation of fouling mechanisms. Food Eng. 2014; 121: 73-79.
    CrossRef
  8. Gharsallaoui A., Oulahal N., Joly C., Degraeve P. Nisin as a food preservative: part 1: physicochemical properties, antimicrobial activity, and main uses. Crit. Rev. Food Sci. Nutr. 2016; 56(8): 1262-1274.
    CrossRef
  9. Moračanin S.M.V., Đukić D.A., Memiši N.R. Bacteriocins produced by lactic acid bacteria–A review. Acta Period. Technol. 2014; 45: 271-283.
    CrossRef
  10. Ahmad V., Khan M.S., Jamal Q.M.S., Alzohairy M.A., Al Karaawi M.A., Siddiqui M.U. Antimicrobial potential of bacteriocins: in therapy, agriculture and food preservation. J. Antimicrob. Agents. 2017; 49(1): 1-11.
    CrossRef
  11. Roy S.M., Riley M.A., Crabb J.H. Treating bovine mastitis with nisin: a model for the use of protein antimicrobials in veterinary medicine. Bacteriocins. 2016; 127.
    CrossRef
  12. US Food and Drug Administration. CFR – Code of Federal Regulations Title 21. Silver Spring, MD: US Food and Drug Administration; 2015.https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfcfr/CFRSearch.cfm?fr=184.1538.
  13. EFSA Panel on Food Additives and Nutrient Sources added to Food (ANS), Younes M., Aggett P., Aguilar F., Crebelli R., Dusemund B., Filipič M., Frutos M.J., Galtier P., Gundert-Remy U., Kuhnle G.G., Lambre C., Leblanc J.-C., Lillegaard I.T., Moldeus P., Mortensen A., Oskarsson A., Stankovic I., Waalkens-Berendsen I.,Woutersen R.A., Wright M., Herman L., Tobback P., Pizzo F.,Smeraldi C., Tard A., Papaioannou A., Gott D. Safety of nisin (E 234) as a food additive in the light of new toxicological data and the proposed extension of use. EFSA J. 2017; 15(12): 1-16.
    CrossRef
  14. Sumonsiri N. Effect of nisin on qualities of milk pudding with fruit cocktail during refrigerated storage. J. Food Sci.2017; 9(3): 38-45.
  15. Sumonsiri N. Effect of ascorbic acid and nisin on fresh-cut apples. J. Food Sci. 2017; 9(4): 71-85.
  16. Jagannath A., Kumar M., Raju P.S., Batra H.V. Nisin based stabilization of novel fruit and vegetable functional juices containing bacterial cellulose at ambient temperature. Food Sci. Technol. 2014; 51(6): 1218-1222.
    CrossRef
  17. de Oliveira Junior A.A., de AraújoCouto H.G.S., Barbosa A.A.T., Carnelossi M.A.G., de Moura T.R. Stability, antimicrobial activity, and effect of nisin on the physico-chemical properties of fruit juices. J. Food Microbiol. 2015; 211: 38-43.
    CrossRef
  18. Prado F.C., Lindner J.D.D., Inaba J., Thomaz-Soccol V., Brar S.K., Soccol C.R. Development and evaluation of a fermented coconut water beverage with potential health benefits. Funct. Foods. 2015; 12: 489-497.
    CrossRef
  19. Official Methods of Analysis of AOAC International, 20th ed. Arling, VA: AOAC International; 2016.
  20. Kailaku S.I., Setiawan B., Sulaeman A., Risfaheri. The shelf life estimation of cold sterilized coconut water. PlantaTropika: J. Agro Sci. 2017; 5(1): 62-69.
    CrossRef
  21. Gabriel A.A., Estilo E.E.C. Influences of malic acid and nisin supplementations on the decimal reduction times of Escherichia coli O157:H7 in mildly-heated young coconut liquid endosperm. Food Control. 2015; 50: 645-651.
    CrossRef
  22. Zhao L., Wang Y., Wang S., Li H., Huang W., Liao X. Inactivation of naturally occurring microbiota in cucumber juice by pressure treatment. J. Food Microbiol. 2014; 174: 12-18.
    CrossRef
  23. de Oliveira Jr. A.A., de Araújo Couto H.G.S., Barbosa A.A.T., Carnelossi M.A.G., de Moura T.R. Stability, antimicrobial activity, and effect of nisin on the physico-chemical properties of fruit juices. J. Food Microbiol. 2015; 211: 38-43.
    CrossRef
  24. Punyauppa-path S., Phumkhachorn P., Rattanachaikunsopon P. Nisin: production and mechanism of antimicrobial action. J. Curr. Res. Rev. 2015; 7(2), 47-53.
  25. Müller‐Auffermann K., Grijalva F., Jacob F., Hutzler M. Nisin and its usage in breweries: a review and discussion. I. Brewing. 2015; 121(3), 309-319.
    CrossRef
  26. Santos J.C.P., Sousa R.C.S., Otoni C.G., Moraes A.R., Souza V.G.L., Medeiros E.A.A., Espitia P.J.P., Pires A.C.S., Coimbra J.S.R., Soares N. F.F. (2018). Nisin and other antimicrobial peptides: Production, mechanisms of action, and application in active food packaging. Food Sci. Emerg. Technol. 2018; 48: 179-194.
    CrossRef
  27. Abhilasha P., Pal U.S. Comparison of different preservation techniques on quality storability of sugarcane juice. Int. J. Pure App. Biosci. 2018; 6(1):339-352.
    CrossRef


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.