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ICAR AIEEA-PG / PGS Mathematics for Food Science & Engineering: practice questions

ICAR AIEEA-PG / PGS — Code 18 Food Science Technology · India · ICAR through the National Testing Agency

Original practice questions written to the published syllabus · not past papers
10worked here, free
18written to this exam in this subject
8syllabus units

What this subject covers

The calculus, linear algebra, differential equations and numerical methods behind every food engineering calculation: heat penetration curves, drying rates, reaction kinetics and process optimisation. GATE XE makes this section compulsory for every candidate who takes the Food Technology section.

In the exams: GATE XE-A (compulsory section for XE candidates); foundation for every numerical question in GATE XE-G Section 4 and ICAR AIEEA-PG Code 18 Unit II

Where the 18 questions fall

How our questions for ICAR AIEEA-PG / PGS spread across the units of Mathematics for Food Science & Engineering. Difficulty: 7 easy, 7 medium, 4 hard.

Applications in food science: first-order kinetics, exponential decay and logarithmic survivor curves10
First-order and second-order ordinary differential equations2
Matrices, determinants, rank and systems of linear equations1
Vector calculus: gradient, divergence, curl and Green's theorem1
Complex numbers, analytic functions and Cauchy-Riemann equations1
Partial differential equations: one-dimensional heat equation and Laplace equation by separation of variables1
Numerical methods: Gauss elimination, LU decomposition, interpolation and Newton-Raphson1
Numerical integration and Euler's method for ODEs1

10 practice questions, worked

Choose an answer, then open the working. Each explanation says why the right answer is right and why the others are not.

1 · Vector calculus: gradient, divergence, curl and Green's theorem · easy

Fourier's law of heat conduction is written q = −k∇T. What does the negative sign express?

  1. Heat flows in the direction of decreasing temperature
  2. Heat flux is measured into the surface, not out of it
  3. Thermal conductivity is a negative quantity for foods
  4. Temperature falls as conductivity rises in a solid
Answer and working

A. Heat flows in the direction of decreasing temperature

∇T points towards increasing temperature, and heat flows the opposite way, from hot to cold; the minus sign makes q point down the gradient. Conductivity is positive; the sign is not a measuring convention for surfaces; and it says nothing about how temperature depends on conductivity.

Further reading: Kreyszig, Advanced Engineering Mathematics; Grewal, Higher Engineering Mathematics

2 · First-order and second-order ordinary differential equations · hard

A sauce cools from 90 °C to 50 °C in 10 min in a room at 20 °C, following Newton's law of cooling. How long from the start does it take to reach 30 °C?

  1. 30.0 min
  2. 23.0 min
  3. 20.0 min
  4. 15.0 min
Answer and working

B. 23.0 min

T − 20 = 70e^(−kt). At 10 min: 30 = 70e^(−10k), so k = ln(70/30)/10 = 0.0847 per min. For T = 30: 10 = 70e^(−kt), so t = ln 7/k = 23.0 min. 20 min assumes a linear fall; 15 min and 30 min come from using temperatures rather than temperature differences above the room.

Further reading: Kreyszig, Advanced Engineering Mathematics; Grewal, Higher Engineering Mathematics

3 · Partial differential equations: one-dimensional heat equation and Laplace equation by separation of variables · medium

A slab of food takes 40 min to reach a target centre temperature. Under the same surface conditions and properties, how long will a slab of twice the thickness take?

  1. 160 min
  2. 80 min
  3. 40 min
  4. 320 min
Answer and working

A. 160 min

Time enters through the Fourier number Fo = αt/L², so equal Fo needs t ∝ L². Doubling L multiplies the time by 4: 4 × 40 = 160 min. 80 min assumes time proportional to thickness; 320 min uses L³. (With a finite Biot number the scaling is only approximate, because Bi also changes with L.)

Further reading: Kreyszig, Advanced Engineering Mathematics; Grewal, Higher Engineering Mathematics

4 · Numerical methods: Gauss elimination, LU decomposition, interpolation and Newton-Raphson · easy

Thermal conductivity of a product is 0.40 W/(m·K) at 20 °C and 0.50 W/(m·K) at 40 °C. By linear interpolation, what is it at 26 °C?

  1. 0.45 W/(m·K)
  2. 0.43 W/(m·K)
  3. 0.41 W/(m·K)
  4. 0.46 W/(m·K)
Answer and working

B. 0.43 W/(m·K)

k = 0.40 + (26 − 20)(0.50 − 0.40)/(40 − 20) = 0.40 + 6 × 0.005 = 0.43. 0.45 is the midpoint value; 0.46 uses 6/10 of the difference instead of 6/20; 0.41 uses 2/20.

Further reading: Chapra and Canale, Numerical Methods for Engineers; Kreyszig, Advanced Engineering Mathematics

5 · Numerical integration and Euler's method for ODEs · hard

A cold-point record gives 111.1 °C, 121.1 °C and 121.1 °C at 0, 1 and 2 min (z = 10 °C, reference 121.1 °C). What F₀ does the trapezoidal rule give for these 2 min?

  1. 1.55 min
  2. 1.00 min
  3. 1.10 min
  4. 2.00 min
Answer and working

A. 1.55 min

Lethal rates L = 10^((T − 121.1)/10): 0.1, 1 and 1. Trapezoid with h = 1: 0.5[0.1 + 2(1) + 1] = 1.55 min. 2.00 min treats every minute as fully lethal; 1.10 min adds the rates of only two points; 1.00 min uses only the last interval.

Further reading: Chapra and Canale, Numerical Methods for Engineers; Kreyszig, Advanced Engineering Mathematics

6 · Applications in food science: first-order kinetics, exponential decay and logarithmic survivor curves · medium

A first-order inactivation has rate constant k = 0.5 per minute. What is the D value?

  1. 4.61 min
  2. 2.00 min
  3. 0.50 min
  4. 0.87 min
Answer and working

A. 4.61 min

D = 2.303/k = 2.303/0.5 = 4.61 min, because a tenfold drop means ln 10 = 2.303 units of kt. 2.00 min is 1/k, the time for an e-fold (not tenfold) drop; 0.87 min divides by 2.303k instead of multiplying; 0.50 min confuses k with D.

Further reading: Singh and Heldman, Introduction to Food Engineering; Toledo, Fundamentals of Food Process Engineering

7 · Applications in food science: first-order kinetics, exponential decay and logarithmic survivor curves · hard

A can holds 10⁴ spores of a spoilage organism with D₁₂₁ = 1.5 min. What F₀ gives a probability of one surviving spore per 10⁵ cans?

  1. 15.0 min
  2. 13.5 min
  3. 6.0 min
  4. 7.5 min
Answer and working

B. 13.5 min

From 10⁴ to 10⁻⁵ per can is 9 log reductions: F = 9 × 1.5 = 13.5 min. 6.0 min is only the 4 logs to one spore per can; 7.5 min uses 5 logs; 15.0 min uses 10 logs.

Further reading: Singh and Heldman, Introduction to Food Engineering; Toledo, Fundamentals of Food Process Engineering

8 · Applications in food science: first-order kinetics, exponential decay and logarithmic survivor curves · easy

In thermal death kinetics, what does the z value mean?

  1. The temperature change that changes D tenfold
  2. The temperature at which the D value is one minute
  3. The number of log reductions delivered by a process
  4. The time for a tenfold fall in the surviving population
Answer and working

A. The temperature change that changes D tenfold

z is the temperature interval for a one-log change in D. The time for a tenfold reduction is D; no standard parameter is defined as the temperature where D is one minute; the number of logs delivered is F/D.

Further reading: Singh and Heldman, Introduction to Food Engineering; Toledo, Fundamentals of Food Process Engineering

9 · Applications in food science: first-order kinetics, exponential decay and logarithmic survivor curves · medium

A population of 10⁶ cells per mL with D = 2 min is held for 10 min at the test temperature. How many cells per mL survive?

  1. 10⁵ cells per mL
  2. 1 cell per mL
  3. 10 cells per mL
  4. 100 cells per mL
Answer and working

C. 10 cells per mL

Log reduction = t/D = 10/2 = 5, so N = 10⁶/10⁵ = 10 per mL. 100 corresponds to 4 logs, 1 to 6 logs, and 10⁵ to a single log.

Further reading: Singh and Heldman, Introduction to Food Engineering; Toledo, Fundamentals of Food Process Engineering

10 · Applications in food science: first-order kinetics, exponential decay and logarithmic survivor curves · medium

Non-enzymatic browning in a stored powder follows zero-order kinetics: the browning index rises from 0.10 to 0.30 in 20 days. When will it reach the rejection value of 0.50?

  1. 40 days
  2. 20 days
  3. 30 days
  4. 50 days
Answer and working

A. 40 days

Zero order: the index rises by a constant amount per day, (0.30 − 0.10)/20 = 0.01 per day. From 0.10 to 0.50 needs 0.40/0.01 = 40 days. 50 days ignores the starting value of 0.10; 20 days is only the further time after day 20; 30 days has no basis in a constant rate.

Further reading: Singh and Heldman, Introduction to Food Engineering; Toledo, Fundamentals of Food Process Engineering

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Mathematics for Food Science & EngineeringThe full study manual, free ICAR AIEEA-PG / PGSFormat, sections and how it has changed

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