By the end of this chapter, you will be able to:
Mastering these skills ensures the quality and consistency of food products, which is essential for success in the food processing trade.
Compiled by: Mary Jemutai
Sorting of food processing raw materials is a critical initial step that directly influences the quality, safety, and marketability of the final product. In Kenya, industries such as county referral hospitals, agricultural cooperatives, and hospitality enterprises rely heavily on effective sorting and grading to meet health standards and consumer expectations. Proper sorting removes contaminants and inferior materials, ensuring that only suitable raw materials proceed to processing. This chapter explores the various methods and factors involved in sorting and grading raw materials, providing students with foundational knowledge applicable across diverse professional sectors.
Sorting and grading are distinct but complementary processes used to classify raw materials by quality attributes. Sorting separates materials into groups according to a physical characteristic such as weight, size, shape or colour. Grading assigns a quality level to each group against a set standard. Together they give a processing line uniform material, make equipment settings dependable and let the plant meet the specification of its buyers. A milk processing plant sorts and grades its own raw materials in a different way from a hotel kitchen preparing vegetables, but both rely on the same idea: material that is alike is processed alike.
Sorting methods are grouped in two ways. By the property used, material is sorted by weight, size or shape. By the way the work is done, it is sorted manually, mechanically, optically or by gravity. The property chosen depends on what the next processing step is sensitive to: a peeler is sensitive to size, a portion cutter to weight and a slicer to shape. The way chosen depends on the raw material, the volume handled and the cost the plant can carry. Colour sorting has its own sub-topic and is not repeated here.
Weight sorting separates raw materials into classes by mass, measured in grams or kilograms. It is used where items of similar size differ in weight, or where a later step depends on mass: portion cutting, pack size, cooking or drying time and yield. Two fruits of the same size can differ in weight because their density and water content differ, so they can fall into different classes.
Weight can be measured in two ways:
For example, a poultry processing plant may sort dressed chickens into four weight classes so that each class goes to the pack size it fits. The classes below are for illustration only: a plant sets its own from the specifications of its buyers.
| Class | Weight range | Birds in a batch of 600 | Share of the batch |
|---|---|---|---|
| 1 | up to 1.0 kg | 90 | 15% |
| 2 | above 1.0 kg up to 1.4 kg | 270 | 45% |
| 3 | above 1.4 kg up to 1.8 kg | 210 | 35% |
| 4 | above 1.8 kg | 30 | 5% |
The counts add up to 90 + 270 + 210 + 30 = 600 birds, and the shares to 15 + 45 + 35 + 5 = 100%. Records of this kind show the plant how its supply is spread, so it can plan which pack sizes to produce.
Good weight sorting depends on a few habits:
Size sorting separates raw materials by one dimension: length, width, thickness or diameter. It is based on a simple idea. An item passes through an opening only if its dimension is smaller than the opening, so a series of openings of increasing size divides a mixed lot into size classes. Weight and size are related but are not the same: a long thin item and a short round item can weigh the same.
Size is sorted by these means:
For example, a potato crisps plant may sort tubers into three diameter classes before peeling, such as under 40 mm, 40 to 60 mm and over 60 mm (classes for illustration only). Small tubers lose a larger share of their flesh in a peeler, and slices cut from very large tubers differ in diameter from the rest, so each class is run with its own peeler time and slicer setting.
Size sorting is also used on dry raw materials. A stack of sieves with decreasing apertures splits a lot of grain into fractions, and this is how a laboratory finds the particle size spread of a flour sample. The separation of dirt and foreign matter from grain by screens is a cleaning step and is covered in Raw material cleaning methods.
Common faults are screens overloaded so that small items ride over with the large ones, damp or sticky material that blocks the holes, and worn holes that have grown larger than the class limit. Screens are therefore fed at an even rate, cleaned between lots and checked for wear. Fruit that rolls over hard screens can be bruised, so soft produce is sorted on padded or slow-moving surfaces.
Shape sorting separates raw materials by their geometry: round or flat, long or short, straight or curved, whole or broken. Shape matters where a machine needs a regular form, such as a slicer, a corer or a filling line, and where appearance in the finished product is part of its quality. A shape that departs from the usual is not always a defect: a forked carrot is perfectly safe, but it does not slice evenly.
Shape is sorted by these means:
For example, a groundnut processing plant may separate whole, round kernels from split and flat ones before roasting, because split kernels roast unevenly and scorch. A vegetable processing plant may send straight, evenly tapered carrots to the slicing line and divert forked or twisted ones to a puree line where shape does not matter. Diverting material to a line where its shape is no problem keeps it in use and reduces waste.
Shape is usually judged together with size, because a small item and a broken item can both pass through the same opening. Plants therefore use shape sorting after size sorting, not instead of it.
Manual sorting involves workers inspecting and separating raw materials by visible or tactile cues. It is widely used in small operations or where delicate handling is required, such as picking shrivelled, mouldy or split passion fruit from a belt at a fruit processing unit. It allows flexibility in identifying defects that a machine might miss, such as a subtle bruise or the first sign of disease. Sorters work on a table or a slow belt with good lighting, wear clean gloves and hair covering, and take short breaks because attention falls as the work becomes repetitive.
Mechanical sorting uses machines to separate materials by size, weight or other physical properties. For example, a flour mill may use vibrating screens and sieves to separate grain from debris. Mechanical sorting improves speed and consistency but requires capital investment and maintenance. The machines themselves are described in Sorting and grading equipment.
Optical sorting uses cameras and sensors to detect differences in colour, shape or texture, and it is used in large plants where rapid and precise sorting is essential. The camera and air jet work as described under Colour sorting technology. For instance, a tea processing factory may use optical sorters to remove discoloured leaf and stalk so that the finished tea is uniform.
Gravity sorting separates materials by differences in density. For example, a maize mill may use a gravity table to remove stones and lighter impurities from grain. The table is a slightly tilted, vibrating deck through which air is blown: heavy particles settle on the deck and work uphill, while light ones float and drift downhill. This method improves purity and reduces damage during milling.
Colour sorting is a quality control step that separates raw materials by visible colour, which often shows ripeness, contamination or damage. For example, a tomato sauce plant needs tomatoes that are fully red, because green or yellow shoulders give a pale product with a different taste. A tomato with a brown patch may be rotten, and a grain kernel with dark spots may carry mould.
Colour differences often signal variations in quality or safety. Discoloured vegetables may indicate spoilage or fungal infection, which could harm the consumer if the material were processed. Colour sorting helps maintain product standards and reduces customer complaints.
Colour sorting can be manual or automated. Manual colour sorting relies on trained workers, such as those at a cashew processing unit picking discoloured kernels from a belt. Automated colour sorting uses sensors and cameras to identify and separate material rapidly, and is increasingly adopted in large processing plants.
Modern colour sorters use high-resolution cameras combined with software to detect colour differences. Each item passes the camera in a thin stream, falling or on a belt, and the software compares its colour with the accepted range. An item outside the range is removed by a short blast of air. These machines can handle large volumes quickly and remove defective items without damaging good raw material.
Colour sorting accuracy can be affected by lighting, surface moisture, dust on the camera and variation within the material itself. For example, uneven lighting in a food processing plant can make good produce read as discoloured, and wet leaves reflect light differently from dry ones. Cameras are therefore cleaned and calibrated against reference samples at regular intervals, and operators check the rejected stream to make sure good material is not being thrown out.
Manual grading is the assessment of raw materials by people, who assign quality categories based on appearance, size and other senses. It remains widely used in food processing units because it adapts easily to different materials and costs little to set up.
Graders judge size uniformity, colour, texture and the presence of defects. For example, in a fish processing unit, graders place whole fish into quality classes by the clearness of the eyes, the colour of the gills, the firmness of the flesh and the smell. Fish that fall below the lowest accepted class are rejected before they reach the filleting line.
Effective manual grading needs trained personnel with sharp observation and a working knowledge of the quality standards. In a food processing plant, graders are trained with reference samples and photographs for each grade, and are checked from time to time against the quality laboratory's results to confirm that their judgement has not drifted.
Manual grading can be subjective and inconsistent, especially with large volumes or tired workers. This variation affects product uniformity and may lead to disputes with buyers over what a grade means. Speed is also limited, and a grader can examine only the surface of an item.
Standard grading charts and regular refresher training improve consistency. For instance, a hotel kitchen may use colour-coded grading cards so that staff apply the same limits when sorting fresh produce. Good lighting, rotating graders between tasks and testing two graders on the same sample to compare their results also help.
Machine grading uses automated equipment to classify raw materials by measurable attributes such as size, weight or firmness. It raises throughput and removes much of the personal judgement of manual grading, especially in commercial food processing.
Common machines include size graders, weight graders and firmness testers. A mango packhouse may use size grading machines to separate fruit into classes for different packaging specifications, and a firmness tester to check ripeness before the fruit goes to the pulping line. How each machine is built and selected is covered in Sorting and grading equipment.
Automated grading reduces human error, increases processing speed and records data for quality control. A weight grader, for example, can print the number of items and the total mass in each class at the end of a shift, so that supply and yield can be reviewed.
Initial investment and maintenance costs can be barriers for small processors. Machines also need calibration to suit different varieties of raw material, and a worn screen or drifting load cell grades wrongly without any obvious sign.
Machine grading is often combined with sorting to control quality more closely. For instance, a fresh-cut salad unit may run size grading and colour sorting in sequence to select the grade for its premium buyers.
Understanding and managing damage to raw materials during sorting and grading is essential to keep quality and reduce losses. Damage can occur through mechanical handling, environmental factors or improper storage.
Damage includes bruising, cracking, microbial contamination and dehydration. For example, a fruit processing plant loses material when fruit is bruised during sorting, because bruised tissue spoils faster and shortens the shelf life of the pulp.
Rough handling, wrong machine settings and overcrowding contribute to damage. In a pickling unit, overloading sorting bins crushes the cucumbers at the bottom and increases waste. Long drops onto hard surfaces, fast belts and worn, rough screens add to the damage.
Damaged raw materials may spoil faster, pose health risks and lose market value. This reduces profitability for a processor such as a tea factory that depends on quality leaf, because broken and bruised leaf gives a different cup quality.
Gentle handling, regular equipment maintenance and proper training reduce damage. For instance, a juice plant may fit soft belts and lower the drop height between conveyors to reduce bruising of fruit during sorting. Bins are filled to the marked level only, and damaged items are separated at once so that they do not contaminate sound ones.
Sorting and grading serve several purposes that improve product quality, safety and market acceptance. Food processors in every sector use them to remain competitive.
Uniform raw materials give consistent processing results and a consistent final product. A flour mill that sorts wheat before milling gets even grinding and a flour that behaves the same way in the dough from one batch to the next.
Sorting removes foreign matter and inferior items that could compromise safety. For example, a sesame processing unit removes stones, twigs and damaged seed to prevent equipment damage and contamination of the product.
Graded products can be priced by quality class, which lets a processor sell to different markets. A coffee processing factory grades beans by size and defects, and each grade is sold at its own price.
Uniform raw materials reduce machine downtime and improve throughput. A vegetable processing plant gains from sorted produce that feeds smoothly into automated peeling machines.
Food safety regulations require processors to meet quality and hygiene criteria. Sorting and grading help food processors meet the requirements of the Kenya Bureau of Standards (KEBS) and of public health officers, who inspect processing premises.
Grading assesses the factors that decide whether a raw material suits processing and consumption. Processors judge these factors against the written specification for each grade.
Consistent size and weight allow uniform processing and packaging. For instance, a canning line for French beans grades pods by length and thickness, so that cans fill evenly and the pods cook at the same rate.
Colour indicates freshness and ripeness, and a uniform appearance supports product appeal. A chilli sauce plant, for example, grades chillies by colour so that only fully red fruit goes into a red sauce.
Texture affects behaviour in processing and consumer preference. A jam-making unit separates firm, just-ripe guavas from soft, over-ripe ones, because ripeness affects the setting of the jam.
Moisture influences shelf life and processing performance. A sorghum mill measures the moisture of incoming grain with a moisture meter, because grain that is too damp spoils in store and mills poorly.
Detecting bruises, insect damage or foreign matter is essential for safety and quality. A fruit processing plant rejects fruit with visible defects at the grading table before it reaches the pulping machine.
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Create a free accountThis chapter examined the processes of sorting and grading raw materials in food processing, highlighting the essential methods used to classify inputs by weight, size, and shape. It explored the role of colour sorting as a critical quality determinant, alongside the distinction between manual and machine grading techniques. The chapter emphasized the impact of product damage on sorting outcomes and detailed the various reasons why sorting and grading are integral to maintaining product standards. Key grading factors were identified, providing a framework for consistent quality assessment. An overview of the equipment employed in sorting and grading was presented, illustrating the technological support that enhances efficiency and accuracy. Finally, the importance of thorough documentation was discussed as a means to ensure traceability and accountability throughout the sorting and grading stages.
Type: Individual
| Tools & Equipment | Materials |
|---|---|
| Sorting trays (plastic) | Maize grains (dried) |
| Tweezers | Labels (50 x 90 mm) |
| Magnifying glass | Protective gloves |
| Waste collection container | Face mask |
| Permanent marker pen |
| S/N | Item | Quantity |
|---|---|---|
| 1 | Maize grains (dried) | 2 kg per Candidate |
| 2 | Sorting trays (plastic) | 1 Pc per Candidate |
| 3 | White sorting tray (plastic) | 1 Pc per Candidate |
| 4 | Tweezers | 1 Pc per Candidate |
| 5 | Waste collection container | 1 Pc per Candidate |
| 6 | Magnifying glass | 1 Pc per 5 Candidates |
| 7 | Labels (50 x 90 mm) | 2 Pc per Candidate |
| 8 | Permanent marker pen | 1 Pc per Candidate |
| 9 | Protective gloves | 1 Pair per Candidate |
| 10 | Face mask | 1 Pc per Candidate |
| Items to be Evaluated | Marks Available | Marks Obtained | Comments |
|---|---|---|---|
| TASK 1: Manual Sorting Process | |||
| Candidate wears protective gloves and face mask before starting (Award 2 marks for correct PPE use, zero if none) | 2 | ||
| Candidate arranges sorting trays and waste container properly (Award 2 marks for correct workstation setup) | 2 | ||
| Candidate uses tweezers and magnifying glass to identify damaged, discolored, and foreign materials (Award up to 4 marks for careful and correct identification) | 4 | ||
| Candidate separates good quality maize grains from defective grains and foreign materials accurately (Award 6 marks for effective and thorough separation) | 6 | ||
| Candidate collects and disposes of waste materials in the waste container (Award 3 marks for proper waste collection and disposal) | 3 | ||
| Candidate labels the trays correctly as 'Good Grains' and 'Waste' (Award 3 marks for correct and legible labeling) | 3 | ||
| Sub-Total | 20 | ||
| PRODUCT CHECKLIST | |||
| Good quality maize grains tray contains only clean, undamaged grains (Award 6 marks if no defective grains present) | 6 | ||
| Waste tray contains all defective, discolored, and foreign materials removed (Award 4 marks if waste tray is complete and cleanly separated) | 4 | ||
| Sorting trays are neat, and labeling is clear and correct (Award 5 marks for neat presentation and labeling) | 5 | ||
| Sub-Total | 15 | ||
| GRAND TOTAL | 35 | ||
Type: Individual
| Tools & Equipment | Materials |
|---|---|
| Digital weighing scale (accuracy 1 g) | Raw potatoes |
| Sorting trays (300mm x 200mm) | Raw carrots |
| Labels (50 x 90 mm) | |
| Permanent marker pen |
| S/N | Item | Quantity |
|---|---|---|
| 1 | Raw potatoes | 2 kg per Candidate |
| 2 | Raw carrots | 1.5 kg per Candidate |
| 3 | Digital weighing scale (accuracy 1 g) | 1 per Candidate |
| 4 | Sorting trays (plastic, 300mm x 200mm) | 3 per Candidate |
| 5 | Labels (50 x 90 mm) | 5 per Candidate |
| 6 | Permanent marker pen | 1 per Candidate |
| Items to be Evaluated | Marks Available | Marks Obtained | Comments |
|---|---|---|---|
| TASK 1: Preparation and weighing | |||
| Candidate wears appropriate PPE before handling raw materials (Award 2 marks for correct PPE use or zero) | 2 | ||
| Candidate correctly calibrates the digital weighing scale before use (Award 3 marks for proper calibration or zero) | 3 | ||
| Candidate handles raw potatoes and carrots hygienically (Award 2 marks for hygienic handling or zero) | 2 | ||
| Candidate weighs each raw material accurately to the nearest gram (Award 4 marks for accuracy or zero) | 4 | ||
| Candidate separates raw materials into three weight groups as specified (Award 4 marks for correct sorting or zero) | 4 | ||
| Sub-Total | 15 | ||
| TASK 2: Labeling and presentation | |||
| Candidate labels each sorting tray with correct weight category (Award 3 marks for correct labeling or zero) | 3 | ||
| Candidate presents sorted materials cleanly and orderly (Award 2 marks for neat presentation or zero) | 2 | ||
| Sub-Total | 5 | ||
| PRODUCT CHECKLIST | |||
| Sorted trays contain raw materials correctly categorized by weight: below 200 g, 200 g to 500 g, and above 500 g (Award 8 marks for full compliance or zero) | 8 | ||
| Labels on trays are clear, legible, and correspond to correct weight categories (Award 4 marks for correct and clear labeling or zero) | 4 | ||
| Sub-Total | 12 | ||
| GRAND TOTAL | 32 | ||
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