Food Science and Agriculture: Research Highlights Vol. 11

Goat Milk: Current Status, Composition, Production Constrain and Challenge

Subhash Kachhawaha — 2026-10-13

Goat milk connects smallholder livelihoods, specialised dairy processing and an expanding literature on nutritional functionality. These domains are frequently reviewed separately, encouraging assumptions that biological adaptability guarantees productive resilience or that distinctive composition establishes superior health outcomes. This critical narrative review integrates evidence on production systems, milk constituents, human nutrition, animal health, processing and environmental performance. Scholarly and institutional sources were examined for publications available through 29 July 2026, with emphasis on recent research, methodological transparency and the transferability of findings across breeds, environments and product categories. The evidence supports substantial variation in milk composition with genotype, lactation stage, feeding, udder health and processing. Protein fractionation, lipid profiling and oligosaccharide analysis increasingly resolve this variation, but analytical differences do not by themselves demonstrate clinically meaningful benefits. Trials of appropriately formulated goat-milk-based infant formula generally support satisfactory growth and tolerability in healthy infants; they neither validate unmodified goat milk as an infant feed nor establish suitability for cow's milk allergy. Production remains constrained by seasonal feed deficits, heat load, inadequate recording, infectious disease, limited veterinary support and uneven access to reliable milk collection. Improvements in animal performance may be lost through poor hygiene, inconsistent product quality, weak market coordination or unfavourable feed and energy costs. Environmental comparisons are similarly conditional on productivity, system boundaries, co-product allocation and assumptions about soil carbon. The synthesis identifies fit-for-purpose production and product evaluation, rather than a universal hierarchy of breeds or farming systems, as the appropriate organising principle. Immediate priorities are multi-farm longitudinal recording, context-specific feeding and health interventions, validated quality-control systems and transparent economic assessment. Longer-term work should link compositional traits to defined processing or clinical endpoints while testing the durability, affordability and distribution of benefits. Goat milk can contribute to diverse food systems, but its contribution depends on coordinated management and evidence-calibrated claims rather than intrinsic superiority.

Physicochemical Evaluation of Cassava Flour and Effects of Hydrocolloids on the Physical and Sensory Properties of Bread Loaves Produced from Wheat-Cassava Composite Flour-Doughs

Nwachukwu Chinwe Adaobi — 2026-10-13

This study evaluated the physicochemical properties of wheat-cassava flour blends and the effects of hydrocolloids on the physical and sensory properties of bread loaves produced from wheat-cassava composite flours. Fresh cassava roots were processed into flour and blended with wheat flour at 80:20 and 90:10 ratios, with 100:0 wheat flour and 0:100 cassava flour included for comparison. The flour samples were analysed for proximate composition, starch, sugar, dietary fibre, vitamins, minerals, and anti-nutritional factors. Bread loaves were produced from 75:25 and 80:20 wheat-cassava composite flours and treated with carboxymethyl cellulose (CMC), xanthan gum, guar gum, gelatine, or egg white at 3%, 5%, and 7% inclusion levels. Significant differences (p<0.05) were observed among the flour samples and bread treatments. Cassava flour recorded the highest carbohydrate, dietary fibre, vitamin C, iron, and cyanide values, whereas wheat flour recorded the highest protein, ash, vitamin A, calcium, magnesium, potassium, and zinc values. The cyanide values reported for the wheat-cassava composite flours were below the safe level cited in the manuscript, whereas the value for 100% cassava flour was higher. For bread quality, the 80:20 composite flour generally produced higher loaf volume, specific volume, and sensory scores than the 75:25 composite flour. Among the hydrocolloid treatments, egg white and gelatine gave better physical and sensory performance than xanthan gum and guar gum, while 100% wheat bread remained the highest-performing control. These findings show that hydrocolloid type and inclusion level affected the quality of wheat-cassava composite bread under the conditions evaluated.

Non-Destructive Quality Assessment of Fruit and Vegetables: Advances in Spectroscopy, Imaging Sensors and Artificial Intelligence

Sonali Parekh — 2026-10-13

Non-destructive assessment can extend fruit and vegetable quality control beyond destructive subsampling, but the usefulness of a prediction depends on what the sensor observes and how its performance is validated. This critical narrative review examines spectroscopy, imaging and artificial intelligence for estimating composition, texture, maturity and defects in fresh produce. Literature published between 1 January 2000 and 27 July 2026 was identified through targeted scholarly-index searches and citation tracing, with methodological papers included to evaluate calibration, independence and uncertainty. The synthesis distinguishes direct optical sensitivity from predictions mediated by ripening, cultivar or storage conditions. Visible and near-infrared spectroscopy provide an established basis for selected compositional measurements, whereas spatially resolved optical methods, hyperspectral imaging, Raman spectroscopy, fluorescence and X-ray imaging offer complementary information with different sampling depths and operational constraints. Deep learning can improve prediction within a defined domain, yet external-season and instrument-transfer studies show that architectural complexity does not remove calibration dependence. Higher spectral resolution, additional sensors and larger numbers of image pixels do not necessarily increase independent information. Evidence is particularly vulnerable when repeated observations cross data partitions, sample-level reference values are interpreted as validated pixel maps, or laboratory classifications are presented as commercial readiness. Fruits, leafy vegetables and underground storage organs require different measurement geometries and reference strategies; they cannot be treated as interchangeable prediction tasks. A decision-centred approach is proposed in which observability, biological sampling, independent validation and operational consequences are assessed together. Priorities include prospective multi-site testing, spatially matched reference measurements, explicit uncertainty and rejection policies, and evaluations of sorting outcomes rather than model accuracy alone. The most defensible advance is therefore not a universally superior sensor or algorithm, but a traceable measurement system whose limitations remain visible when products, instruments and operating conditions change.

The Digital Cold Chain of the Future: Product–Level Sensing, Remaining Shelf-Life Prediction and First-Expire-First-Out Logistics

Jerul Halpati — 2026-10-13

Digital cold chains are increasingly expected to manage the condition of individual products rather than merely document refrigerated transport. Their practical value nevertheless depends on several transitions that are often evaluated separately: from environmental measurements to biological condition, from condition to remaining shelf life, and from prediction to an executable logistics decision. This critical narrative review integrates evidence on product-associated sensing, predictive microbiology, quality kinetics, machine learning, digital twins and first-expire-first-out allocation. Literature eligible through 27 July 2026 was identified through targeted searches of open scholarly indexes, institutional sources and citation networks. Studies were appraised according to measurement validity, independence of validation, uncertainty treatment and the distinction between simulated and observed operational outcomes. Temperature histories can reveal otherwise hidden exposure differences, but ambient measurements do not necessarily represent product temperature, and temperature alone cannot reconstruct initial quality, contamination or pre-harvest susceptibility. Chemical indicators and imaging provide complementary observations, although freshness classification and elapsed-storage prediction should not be mistaken for prospective shelf-life validation. Digital twins offer a useful structure for combining these observations with mechanistic knowledge, but thermal accuracy does not establish biological accuracy or prove waste reduction. Remaining shelf life is best treated as an endpoint-specific distribution conditional on future handling, with food safety maintained as a separate eligibility constraint. First-expire-first-out logistics therefore requires destination compatibility, demand information, operational capacity and timely intervention, not simply an ascending list of predicted expiry dates. Evidence for sensing and modelling is more developed than evidence for sustained, causally attributable reductions in commercial food waste. The review proposes a decision-centred validation sequence linking representative sensing, prospective biological prediction, feasible allocation and independently measured system outcomes. Priority should be given to comparative field trials, uncertainty-aware decisions, interoperable product histories and net environmental and economic evaluation before increasingly complex systems are deployed at scale.

Short food Supply Chains and Local Food Economies: Farmer Income, Resilience and Sustainable Market Development

Sarita Meena — 2026-10-13

Short food supply chains are promoted as a means of improving agricultural livelihoods, strengthening local economies and reducing the vulnerabilities of food provision. These expectations are plausible but do not follow automatically from geographical proximity or fewer intermediaries. This critical narrative review examines how market configuration, labour organisation, collective infrastructure and public institutions mediate relationships between shortened chains and economic, social and environmental outcomes. Targeted scholarly searching and citation tracing covered literature published from 2000 to 1 August 2026, with particular attention to comparative farm studies, labour research, pandemic responses, environmental assessments and procurement interventions. The synthesis distinguishes prices and gross sales from net income, remuneration per working hour and household security; organisational capacities from demonstrated resilience; and local expenditure from additional territorial welfare. Evidence supports opportunities for improved value capture, meaningful work, customer relationships and adaptive marketing, but financial advantages are heterogeneous and may coexist with low labour productivity, unpaid work and constrained business growth. Pandemic studies identify benefits of flexible customer networks and diversified outlets without establishing that local chains are intrinsically resistant to other shocks. Environmental performance depends on production practices, seasonal availability, vehicle loading, consumer travel and assessment boundaries rather than distance alone. Collective distribution and public procurement can address coordination and demand constraints, although governance, operating finance and distributional safeguards remain essential. An integrated explanatory framework is proposed in which market configurations generate capabilities that must be converted into fairly distributed livelihood gains and sustained territorial benefits. This framework is an analytical synthesis, not a validated causal model. Research priorities include longitudinal farm accounts with time-use measurement, shock-specific comparisons, whole-chain environmental assessment and evaluation of inclusive procurement and shared infrastructure. Sustainable market development is therefore better understood as the construction of accountable, accessible and adequately remunerated market relationships than as the pursuit of the shortest possible chain.