Trace elements are crucial for human nutrition, requiring their precise analysis in fruit juices to ensure product quality and assess contamination risks. Atomic spectroscopy techniques including inductively coupled plasma mass spectrometry (ICP-MS), inductively coupled plasma optical emission spectrometry (ICP-OES), graphite furnace atomic absorption spectrometry (GFAAS), flame atomic absorption spectrometry (FAAS), atomic fluorescence spectrometry (AFS), X-ray fluorescence spectrometry (XRF), and glow discharge optical emission spectrometry (GD-OES) are sensitive, selective and versatile tools for trace element analysis of various solid and solution samples. Matrix modifiers, sample introduction and sample preparation methods are pivotal for improving the accuracy and mitigating matrix interferences. Further advancements in instrumentation are essential. This review provides a comprehensive overview of these techniques, highlighting their principles, advantages, limitations and future research directions in fruit juice analysis. Its global applications, focusing on As, Cd, Co, and Pb, along with sample preparation methods, element concentrations, detection limits, and recovery values, have been explored.

Fruit juices are widely consumed for their nutritional value and sensory appeal, but concerns regarding quality, adulteration and authenticity necessitate reliable, rapid and non-destructive analytical techniques. This review explores applications of UV-Visible spectroscopy (UV-Vis), infrared spectroscopy, fluorescence spectroscopy and Raman spectroscopy in fruit juice analysis. Literature was retrieved from Scopus, Web of Science and Google Scholar using predefined search terms. The working principles, instrumentation, and performance of these techniques are discussed, UV-Vis detection of pomegranate juice adulteration (R² up to 0.99), NIR prediction of Ca (RPD = 3.92), and ATR-FTIR sugar quantification (R² > 0.99). Applications include detecting and quantifying nutrients, adulterants, toxic elements and verifying quality attributes such as color, phenolic content and acidity. Integration with chemometrics and Artificial Intelligence (AI) enhances accuracy and predictive power, while miniaturization and multimodal approaches enable real-time, in-field monitoring. Despite challenges such as matrix effects and calibration complexity, optical spectroscopy shows strong potential for ensuring fruit juice safety, quality and authenticity.

Quality assurance is a critical aspect of human food. Meat is one of the major high-quality protein suppliers to the human body and plays an essential role in our daily meals. With industrialization, heavy metals became major food contaminants leading to serious health risks. FAAS (Flame Atomic Absorption Spectrometry), GFAAS (Graphite Furnace Atomic Absorption Spectrometry), ICP-MS (Inductively Coupled Plasma Mass Spectrometry) and ICP-OES (Inductively Coupled Plasma Optical Emission Spectrometry) are analytical methods that promise consumer safety by ensuring quality assurance of meat and meat products with their accurate and reliable analytical capacity. Their characteristics may vary with their theory of analysis and advancement of applied technology. Dry ashing, wet digestion, microwave-assisted digestion, and ultrasonic extraction like different sample preparation techniques or direct analysis after slurry preparation like simple sample preparation, are involved with spectroscopic analytical methods to prevent the sample matrix effect. These methods are validated based on parameters such as LOD (Limit of Detection), LOQ (Limit of Quantification), recovery %, relative standard deviation, and characteristic mass to ensure their reliability.