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ICAR AICE-JRF/SRF Advanced Analytical Techniques & Foodomics: practice questions

ICAR AICE-JRF/SRF (PhD) — Food Processing Technology, Food Safety & Quality, Processing and Food Engineering · India · ICAR through the National Testing Agency

Original practice questions written to the published syllabus · not past papers
10worked here, free
104written to this exam in this subject
12syllabus units

What this subject covers

The analytical science of a research laboratory: high-resolution mass spectrometry, NMR, advanced chromatography, imaging and hyperspectral methods, proteomics, metabolomics and lipidomics of foods, biosensors, and the chemometrics that interprets the data.

In the exams: ICAR AICE 35.a Unit 4 (non-destructive methods, biosensors) and 35.b Unit 6 (research techniques); PhD research

Where the 104 questions fall

How our questions for ICAR AICE-JRF/SRF spread across the units of Advanced Analytical Techniques & Foodomics. Difficulty: 22 easy, 70 medium, 12 hard.

High-resolution and tandem mass spectrometry9
LC-MS/MS and GC-MS/MS for residues and contaminants9
Advanced chromatography: UHPLC, 2D chromatography and ion chromatography9
Thermal analysis: DSC and TGA9
Proteomics, peptidomics and allergen detection9
Metabolomics and lipidomics9
Biosensors and electronic nose and tongue9
Chemometrics and machine learning for analytical data9
Nuclear magnetic resonance in food analysis8
Microscopy of foods: SEM, TEM, confocal and AFM8
X-ray diffraction and scattering8
Hyperspectral imaging and machine vision8

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 · High-resolution and tandem mass spectrometry · easy

Which ionisation technique, used with gas chromatography at 70 eV, gives reproducible fragment spectra searchable in libraries?

  1. Electrospray ionisation
  2. Electron ionisation
  3. MALDI
  4. Atmospheric-pressure photoionisation
Answer and working

B. Electron ionisation

EI at 70 eV gives standardised fragmentation for library matching. ESI is soft and used with LC; MALDI suits large biomolecules.

Further reading: de Hoffmann and Stroobant, Mass Spectrometry

2 · Nuclear magnetic resonance in food analysis · easy

On a 400 MHz spectrometer, a signal appears 1600 Hz from TMS. What is its chemical shift?

  1. 4.0 ppm
  2. 40 ppm
  3. 0.25 ppm
  4. 1.6 ppm
Answer and working

A. 4.0 ppm

δ = 1600 Hz/400 MHz = 4.0 ppm. 0.25 inverts the ratio; 1.6 and 40 slip factors.

Further reading: Belton et al., Magnetic Resonance in Food Science

3 · Nuclear magnetic resonance in food analysis · medium

What is the main limitation of NMR compared with mass spectrometry for food analysis?

  1. Poor reproducibility between instruments
  2. Inability to quantify
  3. Destruction of the sample
  4. Lower sensitivity
Answer and working

D. Lower sensitivity

NMR is reproducible, quantitative and non-destructive but far less sensitive, so it misses trace compounds.

Further reading: Belton et al., Magnetic Resonance in Food Science

4 · Advanced chromatography: UHPLC, 2D chromatography and ion chromatography · medium

Why do sub-2 µm particles in UHPLC allow faster separations without losing efficiency?

  1. They increase longitudinal diffusion of analytes
  2. They lower the column back-pressure markedly
  3. They lower the A and C terms of the van Deemter curve
  4. They remove the need for any mobile phase
Answer and working

C. They lower the A and C terms of the van Deemter curve

Smaller particles give lower plate heights and a flatter van Deemter curve at high velocity, at the cost of higher pressure.

Further reading: Snyder, Kirkland and Dolan, Introduction to Modern Liquid Chromatography

5 · Microscopy of foods: SEM, TEM, confocal and AFM · easy

What happens to the Maltese cross of starch granules under polarised light on gelatinisation?

  1. It becomes brighter
  2. It disappears
  3. It turns blue
  4. It doubles in number
Answer and working

B. It disappears

Loss of ordered (birefringent) structure on gelatinisation removes the cross.

Further reading: Aguilera and Stanley, Microstructural Principles

6 · X-ray diffraction and scattering · medium

Which XRD pattern indicates amylose-lipid complexes formed during extrusion?

  1. V-type
  2. A-type
  3. C-type
  4. B-type
Answer and working

A. V-type

Single amylose helices around lipids give the V pattern.

Further reading: Aguilera and Stanley, Microstructural Principles

7 · Hyperspectral imaging and machine vision · medium

Which wavelength range is used by short-wave infrared hyperspectral cameras?

  1. About 200 to 400 nm
  2. About 5 to 10 µm
  3. About 1000 to 2500 nm
  4. About 400 to 700 nm only
Answer and working

C. About 1000 to 2500 nm

SWIR covers ~1000–2500 nm, where O–H, C–H and N–H overtones occur.

Further reading: Sun, Hyperspectral Imaging for Food Quality

8 · Hyperspectral imaging and machine vision · medium

Which pre-processing method reduces light-scattering effects in reflectance spectra?

  1. Mean-centring only
  2. Standard normal variate
  3. Random shuffling of variables
  4. Adding white noise
Answer and working

B. Standard normal variate

SNV (and MSC) correct for scatter differences caused by particle size and surface.

Further reading: Sun, Hyperspectral Imaging for Food Quality

9 · Metabolomics and lipidomics · medium

A PLS-DA model separates organic from conventional tomatoes perfectly in training. What must be done before trusting it?

  1. Add more variables until it is perfect
  2. Validate with permutation tests and independent samples
  3. Publish immediately as a definitive method
  4. Remove the cross-validation step
Answer and working

B. Validate with permutation tests and independent samples

With many features and few samples, perfect training separation can be chance; validation shows real predictive power.

Further reading: Cifuentes, Foodomics; Sumner et al. (2007)

10 · Chemometrics and machine learning for analytical data · easy

What does autoscaling do to each variable?

  1. Sorts values in descending order
  2. Mean-centres it and divides by its standard deviation
  3. Squares every value
  4. Removes all variables with negative values
Answer and working

B. Mean-centres it and divides by its standard deviation

Autoscaling gives each variable unit variance so that all have equal weight.

Further reading: Brereton, Chemometrics

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Read the subject

Advanced Analytical Techniques & FoodomicsThe full study manual, free ICAR AICE-JRF/SRFFormat, sections and how it has changed

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