Related Experiment Video

Updated: Mar 28, 2026

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
06:50

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

Published on: November 8, 2019

7.1K

[Prediction of total nitrogen and alkali hydrolysable nitrogen content in loess using hyperspectral data based on

Xiu-ying Liu, Li Wang, Qing-rui Chang

    Ying Yong Sheng Tai Xue Bao = the Journal of Applied Ecology
    |December 30, 2015
    PubMed

    More Related Videos

    Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements10:25

    Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

    Published on: June 28, 2016

    11.3K
    Calibrated Passive Sampling - Multi-plot Field Measurements of NH3 Emissions with a Combination of Dynamic Tube Method and Passive Samplers10:29

    Calibrated Passive Sampling - Multi-plot Field Measurements of NH3 Emissions with a Combination of Dynamic Tube Method and Passive Samplers

    Published on: March 21, 2016

    13.0K

    Related Concept Videos

    Key Elements for Plant Nutrition02:35

    Key Elements for Plant Nutrition

    Like all living organisms, plants require organic and inorganic nutrients to survive, reproduce, grow and maintain homeostasis. To identify nutrients that are essential for plant functioning, researchers have leveraged a technique called hydroponics. In hydroponic culture systems, plants are grown—without soil—in water-based solutions containing nutrients. At least 17 nutrients have been identified as essential elements required by plants. Plants acquire these elements from the...
    24.9K
    Calibration Curves: Linear Least Squares01:20

    Calibration Curves: Linear Least Squares

    A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
    For data that follow a straight line, the standard method for fitting is the linear...
    5.2K
    Residuals and Least-Squares Property01:11

    Residuals and Least-Squares Property

    The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
    If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
    The process of fitting the best-fit...
    9.8K
    Multiple Regression01:25

    Multiple Regression

    Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
    Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
    4.3K
    NMR Spectroscopy Of Amines01:19

    NMR Spectroscopy Of Amines

    In proton NMR spectroscopy, primary amines and secondary amines showcase their N–H protons as a broad signal in the chemical shift range between δ 0.5 and 5 ppm. The exact position in this range depends on several factors, including sample concentration, hydrogen bonding, and the type of solvent used. Since amine protons undergo fast proton exchange in solution, the protons are labile and therefore do not participate in any splitting with adjacent protons. Thus, the observed peak is...
    11.7K
    IR and UV–Vis Spectroscopy of Aldehydes and Ketones01:29

    IR and UV–Vis Spectroscopy of Aldehydes and Ketones

    Infrared spectroscopy, also known as vibrational spectroscopy, is mainly used to determine the types of bonds and functional groups in molecules. In aldehydes and ketones, the carbonyl (C=O) bond shows an absorption around 1710 cm-1. The C=O bond vibration of an aldehyde occurs at lower frequencies than that of a ketone. In addition to the C=O absorption in an aldehyde, the aldehydic C–H bond also gives two peaks in the 2700–2800 cm-1 range. This absorption, coupled with the...
    7.9K