GATE — Life Sciences (XL), Section U Food Technology · India · IITs and IISc on rotation (2026: IIT Guwahati)
Original practice questions written to the published syllabus · not past papersWhich microorganisms grow in which foods and why, the pathogens and toxins behind food-borne disease, and the methods — conventional, rapid and molecular — used to find them. The PG units on predictive microbiology and genomic surveillance carry it beyond the hygiene-focused milk and meat microbiology in the Veterinary track (milk-meat-hygiene-food-safety).
In the exams: GATE XE-G and XL-U Section 2 (spoilage, toxins from microbes); ICAR AIEEA-PG Code 18 Unit IV; ICAR AICE 35.b Units 2–4
GATE — Engineering Sciences (XE), Section G Food Technology
Section 2 Food Microbiology: characteristics of spoilage organisms and pathogens, growth and death kinetics, serial dilution, spoilage of specific foods and toxins from microbes. Expect numerical-answer items on generation time, counts from dilution plates and log reductions, and multiple-select items on which organisms grow under given aw, pH or temperature.
GATE — Life Sciences (XL), Section U Food Technology
Same Section 2 syllabus as XE-G; science graduates meet more questions on pathogen identification (Gram reaction, oxygen requirement, selective media, toxin type) and on fermented and spoiled foods.
How our questions for GATE spread across the units of Food Microbiology: Spoilage, Pathogens & Detection. Difficulty: 38 easy, 44 medium, 18 hard.
| Microbial spoilage of milk, meat, fish, eggs, cereals, fruits and vegetables | 12 | |
| Spore-formers and toxin producers: Clostridium botulinum, C. perfringens, Bacillus cereus and Staphylococcus aureus | 10 | |
| Spoilage of canned, bakery and beverage products | 9 | |
| Bacterial food-borne pathogens: Salmonella, Listeria, E. coli (STEC), Campylobacter, Shigella, Vibrio and Yersinia | 9 | |
| Intrinsic and extrinsic factors controlling microbial growth | 8 | |
| Conventional methods: plate count, MPN, selective media and confirmation | 8 | |
| Mycotoxigenic moulds: Aspergillus, Penicillium and Fusarium | 7 | |
| Food-borne viruses and parasites | 7 | |
| Indicator and index organisms | 6 | |
| Molecular methods: PCR, qPCR and whole-genome sequencing | 6 | |
| Predictive microbiology: primary and secondary models | 5 | |
| Microbiological criteria and sampling plans | 5 | |
| Rapid methods: ATP bioluminescence, immunoassays and lateral flow | 4 | |
| Biofilms in food plants | 4 |
Choose an answer, then open the working. Each explanation says why the right answer is right and why the others are not.
A food has a water activity of 0.85. At what relative humidity of the surrounding air will it neither gain nor lose moisture?
C. 85%
Equilibrium relative humidity = aw × 100 = 0.85 × 100 = 85%. 15% is 100 − 85, a confusion with the moisture deficit; 0.85% forgets the factor of 100.
Further reading: Jay, Loessner and Golden, Modern Food Microbiology, ch. 3
Which characteristic helps distinguish E. coli O157:H7 from most other E. coli on selective plating media?
B. It does not ferment sorbitol within 24 hours
Most O157:H7 strains are sorbitol non-fermenting and β-glucuronidase negative, the basis of sorbitol MacConkey media. All E. coli ferment glucose and are oxidase negative.
Further reading: Doyle, Diez-Gonzalez and Hill, Food Microbiology: Fundamentals and Frontiers
Non-proteolytic (Group II) Clostridium botulinum is a particular hazard in chilled vacuum-packed foods because it:
C. Grows and forms toxin at temperatures as low as about 3 °C
Group II strains grow at about 3 °C, need aw about 0.97 and pH above about 5.0, and have spores of lower heat resistance than Group I.
Further reading: Doyle, Diez-Gonzalez and Hill, Food Microbiology: Fundamentals and Frontiers
D121 for proteolytic C. botulinum spores is taken as 0.21 min. What minimum F0 does a 12D botulinum cook require?
C. 2.52 min
F0 = 12 × D121 = 12 × 0.21 = 2.52 min. 12.0 min confuses 12D with 12 minutes; 1.75 min divides 0.21 by 0.12.
Further reading: Doyle, Diez-Gonzalez and Hill, Food Microbiology: Fundamentals and Frontiers
Why is a non-selective pre-enrichment step used before selective enrichment in Salmonella detection?
C. To let sublethally injured cells recover before they meet selective agents
Processing injures cells, and injured cells are killed by selective agents. Buffered peptone water lets them repair first.
Further reading: US FDA Bacteriological Analytical Manual; ISO 6579-1, ISO 11290-1, ISO 4833-1
Which reagent is used in viability PCR to reduce amplification of DNA from dead cells?
A. Propidium monoazide
Propidium monoazide enters cells with damaged membranes and, after light activation, binds DNA so it cannot be amplified. Uracil-N-glycosylase prevents carry-over contamination instead.
Further reading: Doyle, Diez-Gonzalez and Hill, Food Microbiology: Fundamentals and Frontiers
Cells in a biofilm are much more resistant to sanitisers than the same cells in suspension mainly because:
A. The matrix limits penetration, deep cells grow slowly and persister cells survive
The extracellular matrix binds and blocks active chemicals, slow-growing cells deep in the biofilm are less susceptible, and persisters survive.
Further reading: Doyle, Diez-Gonzalez and Hill, Food Microbiology: Fundamentals and Frontiers, biofilm chapter
In an ICMSF two-class sampling plan, the symbol c means:
D. The maximum number of sample units allowed to exceed m
n is the number of units tested, m the limit, c the maximum number of defective units allowed; M is used only in three-class plans.
Further reading: ICMSF, Microorganisms in Foods 7; Codex CXG 21-1997; Regulation (EC) No 2073/2005
Swollen cans are described in increasing order of severity as:
C. Flipper, springer, soft swell, hard swell
A flipper's end flips out when struck; a springer's end springs back when pressed; a soft swell can be pushed in; a hard swell cannot.
Further reading: Adams, Moss and McClure, Food Microbiology; Stumbo, Thermobacteriology in Food Processing
Which of the following is a primary growth model?
D. Baranyi and Roberts model
Baranyi and Roberts describes numbers against time (primary). The square-root, gamma and cardinal parameter models describe how growth parameters depend on conditions (secondary).
Further reading: McKellar and Lu, Modeling Microbial Responses in Food
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