scholarly journals Assessment of Shelf Life and Quality of Biofertilizers using Tricalcium Phosphate as an Anticaking Agent and Aluminium Silicate as the Inert Carrier

2021 ◽  
Author(s):  
R. Matura ◽  
V. Bahuguna ◽  
M. Bhandari ◽  
I. Thapa ◽  
S. Jain
Keyword(s):  
Tricalcium Phosphate ◽  
Plant Root ◽  
Mineral Resources ◽  
Plate Count ◽  
Count Method ◽  
Pseudomonas Species ◽  
Inert Carrier ◽  
Plate Count Method ◽  
Aluminium Silicate

Background: Bio-fertilizers are the substances which contain living microorganisms, when applied to soil, seeds and plant root these fertilizers increases soil fertility and promote growth of the plant. Biofertilizers help plants to utilize important mineral resources, phosphorous and nitrogen. Microorganisms like Rhizobacteria, fungi and algae which provide nutrient to the soil and which are produced commercially are known as biofertilizers. The microorganisms which present in biofertilizers are Rhizobium species, Pseudomonas species and Azospirillum species etc. These biofertilizers have potential to replace conventional chemical fertilizers. The quality of biofertilizers is utmost important as they have to be used by farmers and should work well when applied to the soil. It should not form clumps after preparation. In this study, anticaking property provided by tricalcium phosphate (TCP) to individual biofertilizer containing Pseudomonas, Rhizobium and Azospirillum respectively (each separately) was studied. Methods: In our study, we have used serial dilution and direct count method (CFU) for checking viability of live microorganism for 15, 30 and 90 days duration in respective biofertilizers in our laboratory. Different percentage viz 5%, 10%, 15% and 20% of tricalcium phosphate (TCP) was used in addition to aluminium silicate as an inert carrier.Conclusion: Our study has validated that all percentage (5%, 10%, 15% and 20%) of tricalcium phosphate (TCP) is reducing clump formation as compared to control with no TCP added. On the basis of plate count method (CFU result) 10% TCP is found to be optimum to be used as an anticaking agent for biofertilizer containing Pseudomonas, Rhizobium and Azospirillum respectively.

Comparison between the EC plate count test at 21 °C and an accelerated plate count method for assessing the keeping quality of pasteurized milk

1992 ◽  
Vol 59 (3) ◽  
pp. 431-436 ◽  
Author(s):  
Sarah A. Langford ◽  
Rohan G. Kroll
Keyword(s):  
Plate Count ◽  
Gram Negative ◽  
Rapid Methods ◽  
Pasteurized Milk ◽  
Psychrotrophic Bacteria ◽  
Commercial Interest ◽  
Count Method ◽  
Keeping Quality ◽  
Plate Count Method

The keeping quality of properly refrigerated pasteurized milk and cream is primarily determined by post-pasteurization contamination by Gram-negative psychrotrophic bacteria (Phillips et al. 1981; Schröder et al. 1982). Reliable and rapid methods of assessing the levels of contamination by these organisms are therefore of commercial interest.

Impedance Measurement as an Alternative to the Plate Count Method for Estimating the Total Count of Bacteria in Raw Milk

1987 ◽  
Vol 50 (8) ◽  
pp. 665-668 ◽  
Author(s):  
F. F. J. NIEUWENHOF ◽  
J. D. HOOLWERF
Keyword(s):  
Standard Deviation ◽  
Microbiological Quality ◽  
Impedance Measurement ◽  
Raw Milk ◽  
Plate Count ◽  
Impedance Method ◽  
Count Method ◽  
Plate Counts ◽  
Plate Count Method

An improved impedance method is described with a good standard deviation of repeatability (sm = 0.05 log unit) and a fair standard deviation of the estimate of the plate count from the detection time [(sy)x = 0.33 log unit]. Compared with the standard deviation of repeatability of the plate count method (0.07 log unit), the standard deviation of repeatability of the impedance method described is a significant improvement. The impedimetric experiments were done with a Bactometer M123. The detection times as measured by this instrument were compared with the plate counts at 30°C for samples of raw refrigerated farm milk. With this technique a good indication of the microbiological quality of raw milk can be obtained within 15 h.

scholarly journals PENGARUH AIPengaruh Air Rebusan terhadap Kualitas Ikan Kembung Rebus (Rastrelliger sp.)aR REBUSAN TERHADAP KUALITAS IKAN GEMBUNG REBUS (Rastrelliger sp)

2019 ◽  
Vol 1 (1) ◽  
pp. 7-11
Author(s):  
M.Yusri Dadan Nugraha ◽  
Riyanto Riyanto ◽  
Hanifah Mutia Z.N Amrul
Keyword(s):  
Qualitative Method ◽  
Plate Count ◽  
Fish Production ◽  
Total Plate Count ◽  
Count Method ◽  
Plate Count Method ◽  
Boiled Water ◽  
Descriptive Qualitative

The research on bacterial testing on boiled water of boiled mackerel (Rastelliger sp) has been conducted. The study applied treatment of boiled water that is not replaced and is used continuously in several stages. This study aims to determine the effect of boiled water on the quality of fish production, and determine its effect on meat tectrus, gill color, and aromas. The study was conducted with a descriptive qualitative method. Boiled mackerel quality is measured using the total plate count method, which is to count the number of bacterial colonies in the water before boiling and after boiling.

scholarly journals Sifat Kimia, Mikrobiologi dan Organoleptik Yogurt yang Menggunakan Persentase Lactobacillus casei dan Kadar Gula yang Berbeda

2008 ◽  
Vol 8 (1) ◽  
pp. 21-24
Author(s):  
Yusdar Zakaria
Keyword(s):  
Acetic Acid ◽  
Lactobacillus Casei ◽  
Crude Protein ◽  
Plate Count ◽  
Organoleptic Test ◽  
Count Method ◽  
Two Factors ◽  
Plate Count Method

Chemical, microbiological and organoleptical of yogurt using the different of percentage lactobacillus casei and sugar levelABSTRACT. The objective of this study is to know quality of yogurt with variant of percentage Lactobacillus casei and sugar level. The parameter of this study were the crude protein applying the Kjeldhal method, the crude fat applying the Gerber method, the sum of amount of alive of micro-organism applying the plate count method and the organoleptic applying the square of. The result of this study showed that the different of sugar level is significant (P0.05) on crude protein and crude fat, however the different of percentage L casei not significant (P 0,05) on all parameter. The interaction is only found between two factors on crude fat. The highest of the rate amount of alive microorganism, crude protein and acetic acid are found in yogurt using 10% L. casei and 15% sugar level. From organoleptic test, it’s found that yogurt using 10% L. casei and 15% sugar level is the most prevered kind of yogurt.

The Microbiological Quality of Honey as Determined by Aerobic Colony Counts

1993 ◽  
Vol 56 (4) ◽  
pp. 336-337 ◽  
Author(s):  
JOSEP SERRA BONVEHI ◽  
ROSSEND ESCOLÁ JORDÁ
Keyword(s):  
Membrane Filter ◽  
Microbiological Quality ◽  
Plate Count ◽  
Filter Method ◽  
Filter Methods ◽  
Plate Counts ◽  
Multifloral Honey ◽  
Plate Count Method ◽  
Membrane Filter Method

The number of mesophilic aerobic colonies was determined in 72 samples of mono- and multifloral honey from various sources by the plate count and the membrane filter methods. The presence of motile colonies made the plate counts unreliable. The microorganism producing these colonies was identified as Bacillus alvei. Colony counts could only be carried out in 27 of the samples when using the plate count method, while with the membrane filter method the number of colonies was counted in all the samples.

INDIVIDUAL PLOT STUDIES OF VARIATION IN NUMBERS OF BACTERIA IN SOIL: II. THE ERRORS OF THE PROCEDURE

1942 ◽  
Vol 20c (9) ◽  
pp. 444-456 ◽  
Author(s):  
Norman James ◽  
Marjorie L. Sutherland
Keyword(s):  
Environmental Factors ◽  
Large Error ◽  
Plate Count ◽  
Crop Season ◽  
Count Method ◽  
Plate Count Method ◽  
Chief Interest ◽  
The One

Data on the errors of the plate count method are presented. They are based on changes in numbers of bacteria during the crop season in plots supporting different crops. Duplicate samples were used at each step in the procedure. This provides information on variations associated with sampling, which contribute to the error of the plot estimate on any date.A large portion of the differences among estimates from each plot made on different dates is explained by correlations among numbers of bacteria and changes in environmental factors. Obviously, a large error masks a small relationship.This may be minimized by (1) careful sampling and the use of duplicates at each step in the procedure and (2) collecting data for correlating bacteria with changes in many environmental factors other than the one of chief interest m the investigation.

Sign in / Sign up

Export Citation Format

Share Document